mmpretrain

View on PyPIReverse Dependencies (3)

1.2.0 mmpretrain-1.2.0-py2.py3-none-any.whl

Wheel Details

Project: mmpretrain
Version: 1.2.0
Filename: mmpretrain-1.2.0-py2.py3-none-any.whl
Download: [link]
Size: 1591908
MD5: 100961494dc3ba43bc3b34d694553958
SHA256: 96156327c509cbf17fdc5867f7bc89142df6f63be38ecd67e91b41dc5e538933
Uploaded: 2024-01-04 12:45:14 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: mmpretrain
Version: 1.2.0
Summary: OpenMMLab Model Pretraining Toolbox and Benchmark
Author: MMPretrain Contributors
Author-Email: openmmlab[at]gmail.com
Home-Page: https://github.com/open-mmlab/mmpretrain
License: Apache License 2.0
Keywords: computer vision,image classification,unsupervised learning,self-supervised learning
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Requires-Dist: einops
Requires-Dist: importlib-metadata
Requires-Dist: mat4py
Requires-Dist: matplotlib
Requires-Dist: modelindex
Requires-Dist: numpy
Requires-Dist: rich
Requires-Dist: albumentations (>=0.3.2); extra == "all"
Requires-Dist: grad-cam (<1.5.0,>=1.3.7); extra == "all"
Requires-Dist: requests; extra == "all"
Requires-Dist: scikit-learn; extra == "all"
Requires-Dist: einops; extra == "all"
Requires-Dist: importlib-metadata; extra == "all"
Requires-Dist: mat4py; extra == "all"
Requires-Dist: matplotlib; extra == "all"
Requires-Dist: modelindex; extra == "all"
Requires-Dist: numpy; extra == "all"
Requires-Dist: rich; extra == "all"
Requires-Dist: coverage; extra == "all"
Requires-Dist: interrogate; extra == "all"
Requires-Dist: pytest; extra == "all"
Requires-Dist: mmcv (<2.4.0,>=2.0.0); extra == "mim"
Requires-Dist: mmengine (<1.0.0,>=0.8.3); extra == "mim"
Requires-Dist: pycocotools; extra == "multimodal"
Requires-Dist: transformers (>=4.28.0); extra == "multimodal"
Requires-Dist: albumentations (>=0.3.2); extra == "optional"
Requires-Dist: grad-cam (<1.5.0,>=1.3.7); extra == "optional"
Requires-Dist: requests; extra == "optional"
Requires-Dist: scikit-learn; extra == "optional"
Requires-Dist: coverage; extra == "tests"
Requires-Dist: interrogate; extra == "tests"
Requires-Dist: pytest; extra == "tests"
Provides-Extra: all
Provides-Extra: mim
Provides-Extra: multimodal
Provides-Extra: optional
Provides-Extra: tests
Description-Content-Type: text/markdown
[Description omitted; length: 17882 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
mmpretrain/__init__.py sha256=G9wQ2GoH7lIxDfhJEhiQNxw15CqxzvcfFHECbpuFnRY 1032
mmpretrain/registry.py sha256=vsYN4kKUN2r1rLBuHkmz-WfAkXYFxxDBJQUpSEjDhY0 6908
mmpretrain/version.py sha256=-sRW1SlYys_aokblVxizNq_Ng8Nt51ayX-eiBm00quM 831
mmpretrain/.mim/dataset-index.yml sha256=8y0PVrarvlDh5BMi2MpcKFiy2SLO80LZrmPA5jypvEQ 312
mmpretrain/.mim/model-index.yml sha256=LXJyFr4oB0RVoAMScBRjemCWdCGVecb5zgn_DNMzFtE 2780
mmpretrain/.mim/configs/_base_/default_runtime.py sha256=C_SCBpJvkDPP0NuGaahPkmBoDBl2LQqMgsteED-Ots8 1383
mmpretrain/.mim/configs/_base_/datasets/cifar100_bs16.py sha256=0ZE67rCGBGN_vw6ivBZTgjUf8cmHz91Inu1NVQA1UWw 1114
mmpretrain/.mim/configs/_base_/datasets/cifar10_bs16.py sha256=4tlyp8BwOcOkTDLUnnAw-3gM-fdc-oECJS8y1rtjrmc 1112
mmpretrain/.mim/configs/_base_/datasets/coco_caption.py sha256=1yXlfmSDVofsMD8cOfNbluOPmhUktgAyVPHYIeJvatI 1897
mmpretrain/.mim/configs/_base_/datasets/coco_okvqa.py sha256=Y_MsdNNeeacJ5vq4LBHGZTM9CPzekf8Y0fyI0W89wjM 1937
mmpretrain/.mim/configs/_base_/datasets/coco_retrieval.py sha256=poHJXjI9XQzohx-49NVAbdPhJ81Gu3tm2zn3SJl636g 3072
mmpretrain/.mim/configs/_base_/datasets/coco_vg_vqa.py sha256=uzjZj690fZ9sCF9rmwDFreKlYaYc0gfHHV4Gofgrz3U 2892
mmpretrain/.mim/configs/_base_/datasets/coco_vqa.py sha256=fXsngqI4f8klu017G-Gq-dFe_7FqwTsVBiZivhu2aL0 2280
mmpretrain/.mim/configs/_base_/datasets/cub_bs8_384.py sha256=7u2_qUpPfdYs0YflLNPwhiU8aGNSbfmkI_EXu1nsbd4 1283
mmpretrain/.mim/configs/_base_/datasets/cub_bs8_448.py sha256=sbN_WPUC1dUbd7lYbsjpKHbAtjfOBJIsWz1Y_F8N190 1241
mmpretrain/.mim/configs/_base_/datasets/flickr30k_caption.py sha256=bBWyhYgNK_ytJSN2-giejrpzxvm7Z5_-8acJEvovw-k 2375
mmpretrain/.mim/configs/_base_/datasets/flickr30k_retrieval.py sha256=-i1dvuoWE1FYnEbOz-EV1UCZnrNYDzANfR43gcjCt4s 3195
mmpretrain/.mim/configs/_base_/datasets/gqa.py sha256=qblxbGWo2jbNHpm52YKwgNOpKFwwCRqIDPXgLSaI2rI 2031
mmpretrain/.mim/configs/_base_/datasets/imagenet21k_bs128.py sha256=bHgEhorV_QUWCfOTKUj04l_tbfZHb_YrseGWS_OubYg 722
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs128_mbv3.py sha256=CoLyiOJm4W8RIPW3Pw4mMeCII47Ohb8Nbg0RKh8wsA8 1791
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs128_poolformer_medium_224.py sha256=nAhovDD6IeGjoCHlQApzUYMg4utrY1BLcNz7mfsnafI 2063
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs128_poolformer_small_224.py sha256=eotyqyL-VD5MLOxDlrVOzCGdeciPchV4WwCXnfnHmnE 2063
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs128_revvit_224.py sha256=mbaktXaCESGdWV-F1T-Q9ecVj0lsxRZt2Topa_Vk3_U 2246
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs128_riformer_medium_384.py sha256=l8x2ToTAoYXPTTHVaT5x7V-wdfPGZlwdJo5SrCT1px0 2062
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs128_riformer_small_384.py sha256=B5QYb7hzFHyTfIhhlko-lp6lOcchYhSU1Ta0v4HEztY 2062
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs128_vig_224.py sha256=uSBPQ_J9QD0QXvqPoiY1juiV9jIBgL9m6XxhmT3JBwA 2057
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs16_eva_196.py sha256=pFBeba7am6iI3gvhwsCRVakwmx2KI8sxaA3pxxfiIkM 1559
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs16_eva_336.py sha256=__gqCuWaCd-y5-lYysL_-IFImfKv6sytYBywWqubu74 1559
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs16_eva_448.py sha256=22eh9UEqWhKf-6xpc5dUWrdf88Ukq4dKMUoMgdkiH6s 1638
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs16_eva_560.py sha256=pXsfxGZrinpmzd4r-owAnZTQs5xsoHNm6QZ95HGtBk8 1559
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs16_pil_bicubic_384.py sha256=YTFG9QtO5PFAQVzoyreQ24U4fTgRZQuTeURXFLvpGfE 1375
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_beitv2.py sha256=-HvSDJgsWeoRV6cXPNO2MADzqGXlZwshxJCdrkNjMMk 1273
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_davit_224.py sha256=ScNiDMd6_RZqQB5c5-AKZeVLz0yvxvH7qtVKim0gzcw 2061
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_itpn.py sha256=Bb4_ADOI3ab7cKPrtoX7M0VHAmexk4RKJH-NntW8SVo 1417
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_levit_224.py sha256=D2-Gf0c1DAN6TyqBGHvl2NT73NBFy3VuamBj8lFdyAU 2045
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_rsb_a12.py sha256=pL4K25jDJFpVdcNc1YEsGSQt4e5ka92lmJoaNE_t57k 1861
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_rsb_a3.py sha256=tiQd0Cz-KmGx4bj0V11WeHZCPV5fWx6zjT3lipgXpl8 1861
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_simmim_192.py sha256=BCpKNKtWG5lpstogPm8rNHGhKvt5-jPNKPeJraRmhUU 900
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs256_swin_192.py sha256=5YogUkTmS0L3TCMpIJ3Egoua9B1ZfOydlyOWSAb8oZA 2149
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs32.py sha256=O-82vSYe-dQx5TncYsgdotTcTMrbqDA5PZ1y1sVu1xk 1340
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs32_byol.py sha256=euf4rKPehS_Z7_MjTv5EiQeDl-PK5Dq6tehVR9ZGyEs 2247
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs32_mocov2.py sha256=Jemn3DqFR1u5FeygeiYZ-vN9_nJ1Qo3LemvuHuYL2Ws 1506
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs32_pil_bicubic.py sha256=jTThbdoTlsv4Wzqr7ewK7L06orueXL5mMLmMcfUBf94 1500
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs32_pil_resize.py sha256=YZtKPpfOYAMkrxZ52XvyJm-dJUyNUUeQf2IU4suUcdU 1376
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs32_simclr.py sha256=nK1SgcaRneAaeusnBE39S_Xzq17jCRZkDHwzcZX36GE 1348
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs512_mae.py sha256=3m0o0Gu72oyDAXBws8vlcOTM9ilcfQaxq55JaQzEPLg 832
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs512_mocov3.py sha256=wEyQx4mz3A0j7qDkLvblBGkLbuHmBfPDRfc7uaO6rZI 2276
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64.py sha256=rDkF-GyQpPXO0axEU1TJMq1cMAuIYzhq5gYuoKNBpYM 1340
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_autoaug.py sha256=QiBNvoWSCFNwGw1LmfjQPCdvWAZLrX1oEUBEAnYT8Ms 1591
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_clip_224.py sha256=lDUEfCeamsjPjEtwQcrlHN1M13m836JOTBJBECzWlRI 2182
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_clip_384.py sha256=quVfMh-DNnKfWda5aPrzw3PcGD_tS3pYMXKCjYL3lrs 2182
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_clip_448.py sha256=VgcvCPQUgJLLXOw0x7-IlgZJDlk0KOMucRcowOOFpi4 2183
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_convmixer_224.py sha256=FEtkfSBGNFfZLAfDaELYVHsZHaj_pPc6LySayec2Eq8 2059
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_deit3_224.py sha256=cZiqSUT7sU8lnXhhdCLn9TjGNyLjEZjZ-JUlRcviJ14 2061
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_deit3_384.py sha256=9Hdm_sCTOu661s09aqEdPdP6wjgsPEOlxwO_Vmj1Eak 1500
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_edgenext_256.py sha256=jUUw1pkFSri5-N1SCajAXEWVj59NOwYehPuBvguPnVg 2060
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_hivit_224.py sha256=OCYdLKtOMer8AI1vfehNcz7yi8IkuvEntzoNgJYKADg 2158
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_mixer_224.py sha256=MR0WsX1B5eyvTnJCZHAK1mn1YU6Db2ypEcROEpyq8nc 1381
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_pil_resize.py sha256=DTaVLSJwt1CcPD6WWdYDbnBJ4VKgRLiFE8yXpZn3_M4 1376
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_pil_resize_autoaug.py sha256=qdiws90kVFUqm-_iPQ5k9ZwhLnHmDRmJaqhq_cC97DI 1751
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_swin_224.py sha256=iU3jB5VLEuNmzLbu3KT4maflaBEZ9MNo1QhrSGV9W8w 2061
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_swin_256.py sha256=59FdLRCdjpXAlVTICFA3rYhT_GqZYTTBoflmchxOZV0 2084
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_swin_384.py sha256=UCAXdptw7_xXPmnkE7ADpe7j-DsdFY7bLBQwGz1BMAU 1397
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs64_t2t_224.py sha256=hTKGILCKs9Tm5HZX8PrivIJm_Ve9c-noqdrijSwntN8 2061
mmpretrain/.mim/configs/_base_/datasets/imagenet_bs8_pil_bicubic_320.py sha256=WDWF5AQt1YOyw1-M1qjBPODrf31bSYEQyKHlE6U4pEY 1487
mmpretrain/.mim/configs/_base_/datasets/inshop_bs32_448.py sha256=hdzqy-cHjsgfbngrdz1NfQsqK4wbiPzvfiFuZrmo4II 1595
mmpretrain/.mim/configs/_base_/datasets/nlvr2.py sha256=UNKpWmq3wQbqf3w_HR4_yHmHNU0eoSc5TTxQeN4PlNw 2249
mmpretrain/.mim/configs/_base_/datasets/nocaps.py sha256=bDpYcJHiSMTwDYAGCdwsHDiKTjX_vUgnEvfA5j8TiB8 1004
mmpretrain/.mim/configs/_base_/datasets/ocrvqa.py sha256=c_Zya03sGXEaCXoDQRdKH7gPWTZQkrScLDfyhQQnzyM 2040
mmpretrain/.mim/configs/_base_/datasets/refcoco.py sha256=A93XSSePX9pF2AhfqDQVXJSc2mxpS9BcAFZg0e2ZPd8 2701
mmpretrain/.mim/configs/_base_/datasets/vizwiz.py sha256=V9fjPWpnPlSc6KZUsz9Idosd3s0fu32zJ1iDHuh1xKw 1998
mmpretrain/.mim/configs/_base_/datasets/voc_bs16.py sha256=Rpagsgc0zfykpi1EMB-bGhj1ElFXVFuWhrkewjFRHNA 1768
mmpretrain/.mim/configs/_base_/datasets/vsr.py sha256=o1BWJo5mkU1Am_6MnofBrh-xigqfDs3qzt3WB92scCs 1952
mmpretrain/.mim/configs/_base_/datasets/pipelines/auto_aug.py sha256=eskJnQotqut40V_cJinWL9Cg5v3OVlvYgkFVealIqQE 2870
mmpretrain/.mim/configs/_base_/datasets/pipelines/rand_aug.py sha256=e1wyvHegzBRRKvJBoeb3hJrkAP_56Sx45_hSdC9Ec1M 1430
mmpretrain/.mim/configs/_base_/models/efficientformer-l1.py sha256=x22KIYtSR4kDF-ajlh94kYtnGHhdLDMAWr-NvQUxI_0 598
mmpretrain/.mim/configs/_base_/models/efficientnet_b0.py sha256=rmzYtrBvCPb3RUJoMMtIWmSh_vTABPKfJkLoFTE59zc 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b1.py sha256=mKujh79QQVS-1avNZ_GilC1fFxTUxGs9e88foNWFn7Q 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b2.py sha256=aN3OhqiTS7VuTp2wTqVSrfulMN3P3_HrV2dvb7yey_o 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b3.py sha256=m_yLSQq6Ht4RUtz8O9xhIsa3fDpzwLhprXWNwCBCyvo 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b4.py sha256=Sf_p2e6iPQz6w6WNivztybJst4APVEV_u2aHTMQsEeE 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b5.py sha256=279YxqmESLPERQE0A3SGzgpg8WdcQSb-0wbR4VNmOP0 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b6.py sha256=N-b0c4Z6PyLQFLf445M5TrUBfs_UZ3NMjMaahc6lGm0 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b7.py sha256=G7Vn5Jwhbp9iedrghT3W6OytQ7EeE6sO_vczSk9JWwE 340
mmpretrain/.mim/configs/_base_/models/efficientnet_b8.py sha256=MhrMLvnB6Cux9WuiY3mNRAjmj_9kJTg30JiZ3EGd7BA 340
mmpretrain/.mim/configs/_base_/models/efficientnet_em.py sha256=VLJ1anBp2dB-pLtPnOEHRTlsy5JoZvIt3tD1jX-19bQ 412
mmpretrain/.mim/configs/_base_/models/efficientnet_es.py sha256=Xfyq2pZRqhj7rdmj0PjqAqi9E6Ya-NGce5XL5taP4-k 412
mmpretrain/.mim/configs/_base_/models/efficientnet_l2.py sha256=UXuw-hSJwcaSCXRfYVhRy5848FmF3L9f1HKiPxmbxVk 340
mmpretrain/.mim/configs/_base_/models/inception_v3.py sha256=6LuSQBPgzISdZo-Dr6IF15ZTfWzt4DsAqkAKjYdsdlM 273
mmpretrain/.mim/configs/_base_/models/itpn_hivit-base-p16.py sha256=vnAZThoYvp6wH2YaCLlLAyVCTz0aAVPYd6pPSSIxn7M 884
mmpretrain/.mim/configs/_base_/models/levit-256-p16.py sha256=MFaBWY00hMn3g3Cq0QsZsGB2UslV-7MMJqrXKKaxGWI 668
mmpretrain/.mim/configs/_base_/models/mae_hivit-base-p16.py sha256=FAxPshMJ37OL0O8LT1wAU8BMqmt8ET3I73AIAw6KJHQ 688
mmpretrain/.mim/configs/_base_/models/mae_vit-base-p16.py sha256=48jN56BSP5UJdqNBPqwLOgsx1yT92VflX7cStea5SIk 674
mmpretrain/.mim/configs/_base_/models/mlp_mixer_base_patch16.py sha256=gkjGe2DrLmWxHToAsRXkIvziJ8AfxThCa6_TVj184UY 610
mmpretrain/.mim/configs/_base_/models/mlp_mixer_large_patch16.py sha256=N0SO1ZoNbhPZrDYAwf73XrdwLh74004yVXOC9Rt2f7Q 611
mmpretrain/.mim/configs/_base_/models/mobilenet_v2_1x.py sha256=a9_LkhNu8x9fC5bmhJXfK1UXjIay0FFuAH0L7Q8fSEo 346
mmpretrain/.mim/configs/_base_/models/replknet-31B_in1k.py sha256=7bQe0CkHZskdr22lwz-7VROskBEAwEOV_0R0Aepq898 647
mmpretrain/.mim/configs/_base_/models/replknet-31L_in1k.py sha256=cDz10Ay7roZ0owLqtDelDOK5Zxmry_AwUaIoWE7Es6E 370
mmpretrain/.mim/configs/_base_/models/replknet-XL_in1k.py sha256=ZI7B4RZEV3ImcM2BRC_U3p7qZziBuWOJIi45O9s7WBw 369
mmpretrain/.mim/configs/_base_/models/repmlp-base_224.py sha256=Ii5RwLhGpKlUz2q4GHw9YSF86qHCXF_ZbFgIWnG-4XM 460
mmpretrain/.mim/configs/_base_/models/repvgg-A0_in1k.py sha256=n6vNxP_074-9QUh5wNS6Lhisz-JVCmKxbFgGo1CTRjc 367
mmpretrain/.mim/configs/_base_/models/repvgg-B3_lbs-mixup_in1k.py sha256=f2GzSIw5KoFJlmdAhpptt7Jwzkbd9kAgcU93mOccmAU 551
mmpretrain/.mim/configs/_base_/models/res2net101-w26-s4.py sha256=NUlmwVHCjTtEeX1q6L8C8MRp0eUDxyAyTmNFJKSb3Eg 431
mmpretrain/.mim/configs/_base_/models/res2net50-w14-s8.py sha256=mP2RR33kP-WDG6ayvlTL7VVT80SKTMO8YzlxzUq0ofg 430
mmpretrain/.mim/configs/_base_/models/res2net50-w26-s4.py sha256=tZfQ3yZL3LVQ1Hsek4qDdSteOKt5y3zAzmSE9cq39m4 430
mmpretrain/.mim/configs/_base_/models/res2net50-w26-s6.py sha256=60Nd9qFNNU0mH53_YvbLbZi08R9xmVD4eHFBi_bN9FQ 430
mmpretrain/.mim/configs/_base_/models/res2net50-w26-s8.py sha256=ankLy6oG1y-LqbsuCJXnrs5_62ZonaVSajSXUy_dc98 430
mmpretrain/.mim/configs/_base_/models/res2net50-w48-s2.py sha256=BqRpqJeNd1dz-VNLOaRmVDZ0znDtOx8G1xI3ZqedFXQ 430
mmpretrain/.mim/configs/_base_/models/resnest101.py sha256=wMrnOzPcMlHrr1EkssR4n29Qix9vzK99oCLLpDKVNKw 650
mmpretrain/.mim/configs/_base_/models/resnest200.py sha256=C1wEbdlBUnkGLV-oQxfC46_BYN2eE8mNglEW2Zr1KvU 650
mmpretrain/.mim/configs/_base_/models/resnest269.py sha256=6HUTBuVajoPx6GTNvDLBsVKcOt0XJNai_RH7iJXptK4 650
mmpretrain/.mim/configs/_base_/models/resnest50.py sha256=DFSgGoLjoV_vkJa4wHNsapWYwgYgpUT-cU3dDgZbKes 622
mmpretrain/.mim/configs/_base_/models/resnet101.py sha256=uXIhQdrspwmg8zfL6aAUpX-fUHhcrodKzK0nYhF8Q00 425
mmpretrain/.mim/configs/_base_/models/resnet101_cifar.py sha256=_Tj3uSAfKcZIHo1PBgEvEBMkhQdEEVCvigGhqnvKHSY 408
mmpretrain/.mim/configs/_base_/models/resnet152.py sha256=Z6MmFUQOxX0W8zEexCffBaaBFYhwEFuX_6lSinEy-YY 425
mmpretrain/.mim/configs/_base_/models/resnet152_cifar.py sha256=m7w4Fod6-N22pKTXxW7v32uDP45ew7WTb0-OS5Xs16A 408
mmpretrain/.mim/configs/_base_/models/resnet18.py sha256=uaVrqAI4cx0uuyk4iU_E9rvWtIMgxjGgmOLEdPpawi4 423
mmpretrain/.mim/configs/_base_/models/resnet18_cifar.py sha256=4XQIC4hbgfhICN28wzxIRMmh-2ilIELDQ0iEKmlBlrU 406
mmpretrain/.mim/configs/_base_/models/resnet34.py sha256=UpSwChf6j9ez_MocINM4P-vNdTz4AMYsmfwBwnFfcao 423
mmpretrain/.mim/configs/_base_/models/resnet34_cifar.py sha256=FTui6lvHxmiL8hK_fISXJlPFtXjQWbazvhWgSJhep_g 406
mmpretrain/.mim/configs/_base_/models/resnet34_gem.py sha256=OhSDKkqHmpO_4h6MWDO01J2B1XQ2YIA1U9zwi_wf4t0 425
mmpretrain/.mim/configs/_base_/models/resnet50.py sha256=k3TbUh7IW91CAvXDWcIAr5HvveKqIR0eBoAb4eWPOdk 424
mmpretrain/.mim/configs/_base_/models/resnet50_cifar.py sha256=Y09ROYyM6SZB0ps9rS-Rfv2mqWwdyvQJmryKMlGnfPY 407
mmpretrain/.mim/configs/_base_/models/resnet50_cifar_cutmix.py sha256=TdUhT8m8olXLFE6mA9dMguCg83aB3jdMXaGKfBGaZiQ 549
mmpretrain/.mim/configs/_base_/models/resnet50_cifar_mixup.py sha256=byz_WtAE0gyPtOLD6MX6RlNiydGSoOhP7yoQPQ97rP4 487
mmpretrain/.mim/configs/_base_/models/resnet50_cutmix.py sha256=UxewMVSGLtuYV047iEB9JUpdR0kGUEQh3p-Q6-efD1E 538
mmpretrain/.mim/configs/_base_/models/resnet50_label_smooth.py sha256=Q2R0RbDpSsrNfoPfu-EDLJ0WD_QvoVnDxcj2-cVIFP4 458
mmpretrain/.mim/configs/_base_/models/resnet50_mixup.py sha256=8RIxPTPiyydoeLRy06osBvJdPvr08aJNmDeRFFYbDXM 484
mmpretrain/.mim/configs/_base_/models/resnetv1c50.py sha256=Rf0Mz9FrugMSBx5QIqlY3F9xGf3kQ7776Lbcia3_vCA 427
mmpretrain/.mim/configs/_base_/models/resnetv1d101.py sha256=srAYgOnhrsgXweFUgL9pFQe_c0qZYb8S1UrtVoSNQjQ 428
mmpretrain/.mim/configs/_base_/models/resnetv1d152.py sha256=y9PGoBCK3c7ycc6lnIq1IYH3GxnzDneZSR3tUGjwBrA 428
mmpretrain/.mim/configs/_base_/models/resnetv1d50.py sha256=PsInrDyQ_or0Am1HoH4hgghWO5Z_TiR5mh57nbu3G3Y 427
mmpretrain/.mim/configs/_base_/models/resnext101_32x4d.py sha256=K7nyaVDxdo7eTAM_d_i8g95lGxK-TpDoU063S5iZDcU 472
mmpretrain/.mim/configs/_base_/models/resnext101_32x8d.py sha256=d9e3Q0tHTddkPMqxnbaBKXazlVUAewXFpK6a1RIdrpo 472
mmpretrain/.mim/configs/_base_/models/resnext152_32x4d.py sha256=C46XbyV9HACFH8kcWyJvYRl0TiWVJWKnOr46Me3fPP8 472
mmpretrain/.mim/configs/_base_/models/resnext50_32x4d.py sha256=4sLVGPiUIa4T8SsuiRuf1moBoN_pg00-sYp5RPVSoHs 471
mmpretrain/.mim/configs/_base_/models/seresnet101.py sha256=Qj0-Y0xPK6TUjxkLaag2_5R40w2ncSUBOC_JXB7fv4A 427
mmpretrain/.mim/configs/_base_/models/seresnet50.py sha256=hSmn3irijlFz8vKnzJzBqRyUg8ddyZHF2K_E_LLdqno 426
mmpretrain/.mim/configs/_base_/models/seresnext101_32x4d.py sha256=R1XdFKx1TVcNTUaMhvxA9V_vMzxTaIbVt-E5gPRkK2E 495
mmpretrain/.mim/configs/_base_/models/seresnext50_32x4d.py sha256=usEYY3rD2OHBS9bPmKTWXam09R1Qr7cgwsEB7MU2AfY 494
mmpretrain/.mim/configs/_base_/models/shufflenet_v1_1x.py sha256=4bvSLmtMZAqJa0uZyL0d2mJnrQDG8rj3v95pY_SZLX8 338
mmpretrain/.mim/configs/_base_/models/shufflenet_v2_1x.py sha256=n_r8U3hO33njXoT8X5QZo3G0KULjP607gAaFuVRMe8I 347
mmpretrain/.mim/configs/_base_/models/t2t-vit-t-14.py sha256=B3Mok9BYXvGzSMlir5fWVALGl-fN_w2IiV6TlPrWkx8 1125
mmpretrain/.mim/configs/_base_/models/t2t-vit-t-19.py sha256=Dn8py_WmTQDVpibZDmUyN8LMBJzIl5k0l_tdPZYbofc 1125
mmpretrain/.mim/configs/_base_/models/t2t-vit-t-24.py sha256=RkJky4N7oSKkgBYSU75OBOe3uEnP9HIGMmZOsp05JVU 1125
mmpretrain/.mim/configs/_base_/models/tnt_s_patch16_224.py sha256=tLmvsyaJo5R6AjWj-hrFPlTSvEDuAfzqZXbi8jC3ZVI 809
mmpretrain/.mim/configs/_base_/models/twins_pcpvt_base.py sha256=szRHI9USzw4PqDoZDOfEorU9jFZThD3umWljaYDXzqk 906
mmpretrain/.mim/configs/_base_/models/twins_svt_base.py sha256=39C6_iBXEM1SRYlq-5nFXi_rwMa5RtluCRkiop-Vtoc 893
mmpretrain/.mim/configs/_base_/models/vgg11.py sha256=VIKGembfEmUTfPTFRL_Cc-q6TH_NJD19fI7IlCIvogs 261
mmpretrain/.mim/configs/_base_/models/vgg11bn.py sha256=0vfx045mRkg5B5vtVrNBHqgCy8TW-yewK8IwnCniNKw 296
mmpretrain/.mim/configs/_base_/models/vgg13.py sha256=56L49Sz6X1f96d9nBXYOok1PirFTWerfAsxvR07VX5E 261
mmpretrain/.mim/configs/_base_/models/vgg13bn.py sha256=8WRfmnF6oJI3J4Ai6FFhq8KZT9iMkRQfB3lKnPl2cfE 296
mmpretrain/.mim/configs/_base_/models/vgg16.py sha256=iUx1OsRRd-5WB96SEshvR1xXlHsJSYjqiPkkOXwrQMk 261
mmpretrain/.mim/configs/_base_/models/vgg16bn.py sha256=1RbtWl0geZpD_rAL8c9twaZdgtWWSIcKputslF3MhgE 296
mmpretrain/.mim/configs/_base_/models/vgg19.py sha256=wqsdrMPl8F0yuucIUL3wvyrU0OOqnDLgMMTN5XrxwtQ 261
mmpretrain/.mim/configs/_base_/models/vgg19bn.py sha256=gFbN0xnFk7fiJ9MxkL0mBPUjRu7uG4ajylXqTf4lhrs 296
mmpretrain/.mim/configs/_base_/models/vit-base-p16.py sha256=DoegKVOAqQsEF5JaD8h9yIrVGTpg1bmpFyk_7wz3B6k 622
mmpretrain/.mim/configs/_base_/models/vit-base-p32.py sha256=ljXcLpmNjtdPg1MPd-qnKxl2QrN0joppb5Hr4oS0DFY 592
mmpretrain/.mim/configs/_base_/models/vit-large-p16.py sha256=EfiSg3NpwZ7oPZc52xNnsufFCVgk2FPDJpIcbKNOpzM 593
mmpretrain/.mim/configs/_base_/models/vit-large-p32.py sha256=p7Ow_IdK_4R2SZTqh3dhD5mD3L3axvLbgA83Xgc17vY 593
mmpretrain/.mim/configs/_base_/models/wide-resnet50.py sha256=DhPHUt8p2Re9d39RI_qwdPoROaVKsueay8QG2JiEdgs 498
mmpretrain/.mim/configs/_base_/models/conformer/base-p16.py sha256=N1X0zhaIMEmzgFxYigfnGZDODxeJEsXOC2iyfgiNupk 689
mmpretrain/.mim/configs/_base_/models/conformer/small-p16.py sha256=5QON0Dt22KdxowVqIEzqXx1rS8svqM18djM_Mo_54hw 690
mmpretrain/.mim/configs/_base_/models/conformer/small-p32.py sha256=TzNd2ZZbGYbIRnWQpLjr5Um7YT0wj26jVNuxWB9eDGQ 737
mmpretrain/.mim/configs/_base_/models/conformer/tiny-p16.py sha256=KXRWK1-qvx5qQVAWh_VYaIWwOwGNc02kppfko_-Fzsc 688
mmpretrain/.mim/configs/_base_/models/convmixer/convmixer-1024-20.py sha256=jcJeJQRrNr6Y77Twp7vKxBKu9K32Tk6m6o9ikWd5Hlw 321
mmpretrain/.mim/configs/_base_/models/convmixer/convmixer-1536-20.py sha256=wvuZ82vRu5lrI2lBl19I5WyVqq5j6hKGtPF8gXURU50 321
mmpretrain/.mim/configs/_base_/models/convmixer/convmixer-768-32.py sha256=2jDgp_rbpBrqv6-px8yuTkAZZV0cMuMwFXLlYtJ7YQM 346
mmpretrain/.mim/configs/_base_/models/convnext/convnext-base.py sha256=bqsM19TtXnl4anpVOjWdoY6O-Pl2JSkSqaEUbuL4Tv8 563
mmpretrain/.mim/configs/_base_/models/convnext/convnext-large.py sha256=dOHCW0nXHJHqwlPOPfFhI0BfGqJaF6q7Rx_AMymhC5Y 564
mmpretrain/.mim/configs/_base_/models/convnext/convnext-small.py sha256=rlBBNs3-7YkwyQTzJKZfSTGKBKudQbzNuRszCVH3x2I 563
mmpretrain/.mim/configs/_base_/models/convnext/convnext-tiny.py sha256=nF8tL3wkV4TowXFeQzMAQj2OAyEwKNiTDw1d0AA4WDE 562
mmpretrain/.mim/configs/_base_/models/convnext/convnext-xlarge.py sha256=yl7VKIMWMNhJgszyQ7EClma2KtjKnt6qSo-43dVbIPI 565
mmpretrain/.mim/configs/_base_/models/convnext_v2/atto.py sha256=jspIfgb3fCYHMbN13q-vIZogLLfg-AT2o7193AeLGrI 503
mmpretrain/.mim/configs/_base_/models/convnext_v2/base.py sha256=eunFQ8Bj9Bb_R5jzyLmBQAfxn2VXvAOyJqNXfWaFvQQ 621
mmpretrain/.mim/configs/_base_/models/convnext_v2/femto.py sha256=WfjhmVwOF495c7RWvjOgkvFtsU3yYv-gf6ZbumNk05o 504
mmpretrain/.mim/configs/_base_/models/convnext_v2/huge.py sha256=b_uHJTU4tFUjdfzSN-uf2NipnojS7BiTHd_YXeUY6yw 621
mmpretrain/.mim/configs/_base_/models/convnext_v2/large.py sha256=c2LPvCFlxZMdvedf5RDnAc6Bg2xqW3Tu3wX3NO7Boow 622
mmpretrain/.mim/configs/_base_/models/convnext_v2/nano.py sha256=_tt7iD8RK5-PNi3-uH8dzw1WXnK7_XoaAONMOYcakgc 503
mmpretrain/.mim/configs/_base_/models/convnext_v2/pico.py sha256=Kved2rOLGUqHU8uvDbglBBRbjeaejWzrMfP1MhoUJXo 503
mmpretrain/.mim/configs/_base_/models/convnext_v2/tiny.py sha256=o8_1UGCOI--cRmB1Go40qWJlA8RiSNiySKVqETc79xU 620
mmpretrain/.mim/configs/_base_/models/davit/davit-base.py sha256=NaNlUMBs_dejxTQH1JwRuivFt6hbZwB22FakLqyjPL0 495
mmpretrain/.mim/configs/_base_/models/davit/davit-small.py sha256=C-VTxTfsPWm4yrpzpPf8-AamGLosg4hqCx0005unaTI 495
mmpretrain/.mim/configs/_base_/models/davit/davit-tiny.py sha256=Q_sLumTAM8LSz3DzRhWcpCtxUs2TswDgL1YEV3UU1M8 491
mmpretrain/.mim/configs/_base_/models/deit3/deit3-base-p16-224.py sha256=KK3WawCBAmay4x4OhJkHQLX0BeKxXoAjge1Jjrhr4o0 663
mmpretrain/.mim/configs/_base_/models/deit3/deit3-base-p16-384.py sha256=eBBPRae489LU1yHBDnZeCATRSgI1qko8SppsigK_7rc 664
mmpretrain/.mim/configs/_base_/models/deit3/deit3-huge-p14-224.py sha256=VItGzFq08x3Yhds458kt0wtkbFNc-PW6g9aoJ-FvfLU 665
mmpretrain/.mim/configs/_base_/models/deit3/deit3-large-p16-224.py sha256=yVJnmdK-LREJPKHV9YpMhDX8AvVex70hiE50cuv0ezA 665
mmpretrain/.mim/configs/_base_/models/deit3/deit3-large-p16-384.py sha256=uNOrbTPvG2AWEjox4sN3QjASDFkrhWWWzIwALqny1y8 664
mmpretrain/.mim/configs/_base_/models/deit3/deit3-medium-p16-224.py sha256=ydecw-DuVZWgPHb2Vvd5YU5RpUCehfHSpQT0QVTCHoE 663
mmpretrain/.mim/configs/_base_/models/deit3/deit3-small-p16-224.py sha256=Y5vfbmo8jVyUp-fG4f37bdNx0Io9HKJq07I3UxBiKdI 664
mmpretrain/.mim/configs/_base_/models/deit3/deit3-small-p16-384.py sha256=Sywdj6v8FiLD__fnM2YBFt2lVxpW5khjptckdpVB-Eo 663
mmpretrain/.mim/configs/_base_/models/densenet/densenet121.py sha256=UNhaMtbPmLyI7wtXjedeqwnlxBc-3VaK6p6EA9x1Jyw 316
mmpretrain/.mim/configs/_base_/models/densenet/densenet161.py sha256=xhofUHPYEm5hjb03fiCLla0-D63qYQC41B1fObzY6PU 316
mmpretrain/.mim/configs/_base_/models/densenet/densenet169.py sha256=HbR1S9C9hHgIcfy2DlHT8UTsOmjm7wR2x8v-nadznfo 316
mmpretrain/.mim/configs/_base_/models/densenet/densenet201.py sha256=3tqDgpjuMfbCSED8rl5ikfF8IvH7BotyxdHO1uZmkVw 316
mmpretrain/.mim/configs/_base_/models/edgenext/edgenext-base.py sha256=iJh-EXrDmOhQlL2CYkQU6vuM2xykVWuk5EcNNScSzO8 632
mmpretrain/.mim/configs/_base_/models/edgenext/edgenext-small.py sha256=xWM5s7vvYHebEO8bGfT6bg8rfqkvGUxBVxre699kj4M 633
mmpretrain/.mim/configs/_base_/models/edgenext/edgenext-xsmall.py sha256=tCk8F_OGKnYDuCSM8HAcT3NmsWLoq12gPXyO1fSQ9MM 634
mmpretrain/.mim/configs/_base_/models/edgenext/edgenext-xxsmall.py sha256=B1ReQHmcXLdzWBvAaKcqjzOxc6wHlX7yh7Hld8JuD-0 635
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_b0.py sha256=7VoEh7KYVFbcoqVxgiz9xgxdRiIfc-He0v_k1r-7fEE 342
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_b1.py sha256=IcWOvsrcKU_C4f17DJ5bK7JiMzv-PQ1LEHDFilXXcGg 342
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_b2.py sha256=4CUbe8nLSSHUTTEUENv0Nnbl-_h4IN48yYSE_4YL_PU 342
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_b3.py sha256=ZAarWaOP2iNwYrsZpEheWs8_U130sYnZFzb5M90CcbQ 342
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_l.py sha256=vVz-Tb1aTpD9t6lytnxd6WD1ZzVBBj4PLSkqY1jAYQQ 341
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_m.py sha256=SWjYoPj4lJPSrl2y6Uxv-choCbS6iA5rXGkgFznXWZ4 341
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_s.py sha256=T9hOUWXxc23He8XaBWLxWXXT9JCg20Yi_Kbnj5B5WEw 341
mmpretrain/.mim/configs/_base_/models/efficientnet_v2/efficientnetv2_xl.py sha256=-OSwVDDfHEHAJiupHcrsIQgSyEz1pCkzK9363Eon4Uk 342
mmpretrain/.mim/configs/_base_/models/eva/eva-g.py sha256=e4vmOwvB-y_NrChHQFyS1zimJ6g1ObLc9MTiDsF1lTM 806
mmpretrain/.mim/configs/_base_/models/eva/eva-l.py sha256=LxPsQfcuQ_yOrIZvhgWM2QV0_rpvSp4nYnSfNA6efjY 838
mmpretrain/.mim/configs/_base_/models/hivit/base_224.py sha256=y1wafqbPDDvIidbUofJD7juSGQEs3GNWzxfiipv2yeY 816
mmpretrain/.mim/configs/_base_/models/hivit/small_224.py sha256=q8I0w-qRM-eCe7ZDoZ7bCZSMYodw_Fk8ZzvUPvK2YIY 817
mmpretrain/.mim/configs/_base_/models/hivit/tiny_224.py sha256=LC1FmsMUgwrVkuZ8lpw51oWNnjkBIktWJ-yjaRkGtpM 817
mmpretrain/.mim/configs/_base_/models/hornet/hornet-base-gf.py sha256=vmARnR2Wxum_cqNsXq661T-N0idQadKNwtIm9NvEou8 738
mmpretrain/.mim/configs/_base_/models/hornet/hornet-base.py sha256=_j4J0wTwvptwxZm4oqw1ALH7E5NjVXGdDVpOoGasKcI 752
mmpretrain/.mim/configs/_base_/models/hornet/hornet-large-gf.py sha256=Nu5JtVMtK1SwiPdtclF7JTIZWPzPeComANH4JDs-poY 756
mmpretrain/.mim/configs/_base_/models/hornet/hornet-large-gf384.py sha256=c1QGmMOpkIwnxM6y6ujpMJtgoVK1TpfUXWMT_po4dUA 643
mmpretrain/.mim/configs/_base_/models/hornet/hornet-large.py sha256=0jyYH2RIBxo0EyIRdBDZhKHMjXMGfS8WGkGViVWP_EA 753
mmpretrain/.mim/configs/_base_/models/hornet/hornet-small-gf.py sha256=OsiQaKdcRDklplcKW5LSBxz--OMITnKzMjpCUdkOLkk 755
mmpretrain/.mim/configs/_base_/models/hornet/hornet-small.py sha256=Epd4ejYpbtF_w4HSQjSlH15dC8M65_bfObtrs4WSoRE 752
mmpretrain/.mim/configs/_base_/models/hornet/hornet-tiny-gf.py sha256=8VTH0YZfNXWcCjam2jkMQgKTRXX-OC8-kyElFwl_cmw 754
mmpretrain/.mim/configs/_base_/models/hornet/hornet-tiny.py sha256=QEOIGTnmv0zcBNevNl2QL5y_eAjb4DBiTm8DOTD-Rvw 751
mmpretrain/.mim/configs/_base_/models/hrnet/hrnet-w18.py sha256=3smSyYh_R7iN6O6RSf9HzCvTMd6fQoEUM8Cp7KgLp8M 417
mmpretrain/.mim/configs/_base_/models/hrnet/hrnet-w30.py sha256=COHEWeYVtCnOEdBv0sjk0NVaZ3RFEFNA3O5iFpck4sE 418
mmpretrain/.mim/configs/_base_/models/hrnet/hrnet-w32.py sha256=xtMBBNc3bjty_yc9s3TVvdbLeHK3f695_sWBndaxr7U 418
mmpretrain/.mim/configs/_base_/models/hrnet/hrnet-w40.py sha256=tcw87ZzTnL6nFIEiyY_EUo7nA8GJYK-_KxvrzFf721g 418
mmpretrain/.mim/configs/_base_/models/hrnet/hrnet-w44.py sha256=VsWx323CHRhJRfl6bshcBCH6s5iHcr67Yo02FpXq5cg 418
mmpretrain/.mim/configs/_base_/models/hrnet/hrnet-w48.py sha256=e5QU-dCaIKbagNmsMbaEiCsMIUT89bgSK2o4yvS1ZSA 418
mmpretrain/.mim/configs/_base_/models/hrnet/hrnet-w64.py sha256=WdSxEldRhFnt-8TzzTR6rSqz5PXs1z5sROxKOQJj4HM 419
mmpretrain/.mim/configs/_base_/models/mixmim/mixmim_base.py sha256=iuQ_70ju4H2MHG-jVN-7LMbh0nLBmiuuU-L56-G6F8s 653
mmpretrain/.mim/configs/_base_/models/mobilenet_v3/mobilenet_v3_large_imagenet.py sha256=jT_bPtkMFINoKUo74YyY4jnRmulnvAMQMVKAGvxfzXY 529
mmpretrain/.mim/configs/_base_/models/mobilenet_v3/mobilenet_v3_small_050_imagenet.py sha256=AEchR2SWY4UDa-05cjhgec-Nb9FvOx1Tmy83qx5VmFk 533
mmpretrain/.mim/configs/_base_/models/mobilenet_v3/mobilenet_v3_small_075_imagenet.py sha256=8ygsOvXK-GNgeXPL5qBFhHvoT_gKogqjde1LPpyITws 533
mmpretrain/.mim/configs/_base_/models/mobilenet_v3/mobilenet_v3_small_cifar.py sha256=UqVAqhLGsuKMfrYAmlmTi9YyUP_1zMZ4A2lI44BGJsM 406
mmpretrain/.mim/configs/_base_/models/mobilenet_v3/mobilenet_v3_small_imagenet.py sha256=P9C0ytztPPs-pNwDuaXwNhpClOzR1-nUGmaDryDtPoo 529
mmpretrain/.mim/configs/_base_/models/mobileone/mobileone_s0.py sha256=V5Xic7AdWTf92d_qHd7dT41cKrkSdJF4vuLNtTGRFXc 438
mmpretrain/.mim/configs/_base_/models/mobileone/mobileone_s1.py sha256=ZvPtkiU1Ggv8MYbsX9AVjORIBdjWs1ITH86jW7EVVMw 438
mmpretrain/.mim/configs/_base_/models/mobileone/mobileone_s2.py sha256=FuWkL-gtiyAid48HMb2QVzXHnKK4jz2FhiPhBXx9js8 438
mmpretrain/.mim/configs/_base_/models/mobileone/mobileone_s3.py sha256=uF7bdz7GUXitXYfEomsKM1-uL2Cz4bTpjnhbq_5tsDA 438
mmpretrain/.mim/configs/_base_/models/mobileone/mobileone_s4.py sha256=X90t2pPZv0Rh6NcwYU1svE_A-o42ob3lSmScxHEtgkQ 438
mmpretrain/.mim/configs/_base_/models/mobilevit/mobilevit_s.py sha256=tgI7jmhaRg4NZbIxawSO5gZh1HcPsGCugjO6GtFf6UE 339
mmpretrain/.mim/configs/_base_/models/mobilevit/mobilevit_xs.py sha256=v4DA6RBB0ktYNdmCCGcydqVaDY0bASuEzlItgVTktC8 341
mmpretrain/.mim/configs/_base_/models/mobilevit/mobilevit_xxs.py sha256=uDCTIOAhyjPqohKmQ92NgILpyTZfUgoasOgmkQ4434I 342
mmpretrain/.mim/configs/_base_/models/mvit/mvitv2-base.py sha256=YEbqw3NhEr5PYg-KvBdF6gzm20U-E-BG7fcAOhKOkRw 622
mmpretrain/.mim/configs/_base_/models/mvit/mvitv2-large.py sha256=9cJU-cSb5FQELuJ89wwZiMQ-WSBULGSAwT4eThDd7R8 685
mmpretrain/.mim/configs/_base_/models/mvit/mvitv2-small.py sha256=h8TrJxw_k0fO0fGk32xLjqaSj7Y0u5D5znJXlWIk26I 623
mmpretrain/.mim/configs/_base_/models/mvit/mvitv2-tiny.py sha256=7WNXiB2M7v9dUgchbSrLuZi0PGxEzYB6nG-5heY4QUk 622
mmpretrain/.mim/configs/_base_/models/poolformer/poolformer_m36.py sha256=qC3SgiqyfNKBwiqNOUMNZTrYUd2oKoTJ3d-uoyz4ZcE 614
mmpretrain/.mim/configs/_base_/models/poolformer/poolformer_m48.py sha256=c90ph8vrsY-tvUAznRrYeS4X0poafNzC7LGfeFgt6Iw 614
mmpretrain/.mim/configs/_base_/models/poolformer/poolformer_s12.py sha256=MKX9b7BsiKa3wGbMwgn0Ogg4KH1DzwJAZXz3z3APQDQ 614
mmpretrain/.mim/configs/_base_/models/poolformer/poolformer_s24.py sha256=0abxL_gfbufol1OEnerWrdfLehmD_VkpCfM4EXxYIGI 614
mmpretrain/.mim/configs/_base_/models/poolformer/poolformer_s36.py sha256=wtkg8zMKqquJsr4WzDMaZtBTMOW9IQCUifn5jQL_aBg 614
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_1.6gf.py sha256=i5OvNDyQzKAHQ_GL6x2do0JUg6EuXgqfBlUFbprMHrM 344
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_12gf.py sha256=TNg1120Ntsa8iuc5-3W35FbRsUFYfmEWNxQAnyVOn_s 344
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_3.2gf.py sha256=lCK3qQShHx_DK_eXtP7V0dOjUOt3V-BkW0WxKU5obts 345
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_4.0gf.py sha256=2YIa5edrGkUE02J2KZFXzYGjZxYsEpsuvi_w7QoYHts 345
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_400mf.py sha256=bjyX1jqxb3dVVZPZSiF2iLct2-G1F-RdjPAG9fwXoQA 344
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_6.4gf.py sha256=avfrO9r7y2h7pYFicUc-i8g01a4p-ZWP9iUL34qPsMI 345
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_8.0gf.py sha256=fH1QlGrrbHP5yrRoD40xgOk0ykiLy0-BwQv556v08yI 345
mmpretrain/.mim/configs/_base_/models/regnet/regnetx_800mf.py sha256=zN4FiSMJeKIl5WUnSfLNZgNpgxBl6JQ_J_ss25VJNoE 344
mmpretrain/.mim/configs/_base_/models/revvit/revvit-base.py sha256=pP6oIHbEziPnMbSZJ0fHyd6dxqnY9zntBvD0917Zag8 705
mmpretrain/.mim/configs/_base_/models/revvit/revvit-small.py sha256=bT6mJXgs4AXeSZjfs8rUjTn1BPKupftEykvNPOxm3ew 705
mmpretrain/.mim/configs/_base_/models/swin_transformer/base_224.py sha256=-f33fkg-fCdezNX-BGjcHaLyBKAVGRU8vFtxCSIaSZo 767
mmpretrain/.mim/configs/_base_/models/swin_transformer/base_384.py sha256=uhUkVdJcvvipFVgVp0U_qpNjRXGWvxehsMrG_C036Uc 458
mmpretrain/.mim/configs/_base_/models/swin_transformer/large_224.py sha256=HGw_1Pgj28E1_rYXJ4A5Y9eZ6aGaiv7iu4WMTWP5PbU 376
mmpretrain/.mim/configs/_base_/models/swin_transformer/large_384.py sha256=u7NbhjW2bNTuALLtaieQJd_7ZZb7W7EUlw0dfU5TfYw 459
mmpretrain/.mim/configs/_base_/models/swin_transformer/small_224.py sha256=7ZWnSPxGwjEFYaofcRz-6i7y34Hd_ImOwo6VMAJePy8 775
mmpretrain/.mim/configs/_base_/models/swin_transformer/tiny_224.py sha256=NWHuaz3NI828k1FSxVSjHO9iO5poylFI4H0K8ukvV1Q 766
mmpretrain/.mim/configs/_base_/models/swin_transformer_v2/base_256.py sha256=VFWY_3XedyUCYGSDdc_-ytFrTnwSxGNHu_0L0A8a1nU 793
mmpretrain/.mim/configs/_base_/models/swin_transformer_v2/base_384.py sha256=NtXAtqpxC0kB1Nt5SlgLcGKjDmsc2lyOhMOIKiywlc0 518
mmpretrain/.mim/configs/_base_/models/swin_transformer_v2/large_256.py sha256=Myr1iuyUzUzmg4e4DKKxQA4GuT71_a2kh61gEtZXuOw 431
mmpretrain/.mim/configs/_base_/models/swin_transformer_v2/large_384.py sha256=ooKZ09sW3N_NULTjBrh5zzvhMZZ01kGnDq4F55tfwKs 431
mmpretrain/.mim/configs/_base_/models/swin_transformer_v2/small_256.py sha256=AySzkSrsGPKIHfN-2ZZqdFZu8qeCBlL3-Dkf8LMOJug 793
mmpretrain/.mim/configs/_base_/models/swin_transformer_v2/tiny_256.py sha256=R2bp1yQqQBnWzD-ZNISY7MmQjFcyLm8S2AHRcMQYDDo 792
mmpretrain/.mim/configs/_base_/models/tinyvit/tinyvit-11m.py sha256=1IIGkMtYkPoRYOoKgGgdXkd3yWKQMlurRtLsj76Eit0 694
mmpretrain/.mim/configs/_base_/models/tinyvit/tinyvit-21m.py sha256=cABaaEM5pqFjJosUjCQv80P2hvzEiPunoSzMbTeHDog 694
mmpretrain/.mim/configs/_base_/models/tinyvit/tinyvit-5m.py sha256=OUo62bJacjTf5h71jx_sXdYr09PQI2ylT1jGNXSKcXU 693
mmpretrain/.mim/configs/_base_/models/van/van_base.py sha256=-MMtMstmOfhOhIr3-qBT-kBDTibtAuP0lgmidSrEJws 456
mmpretrain/.mim/configs/_base_/models/van/van_large.py sha256=UWOG8kou8hnqJ9LEf74uNfKHDFq35lm5Ww2ftU_pj70 457
mmpretrain/.mim/configs/_base_/models/van/van_small.py sha256=Yg1DDQD4ldJg8TSBMLW5084HYlnDF7e9gR7HjtR19n4 732
mmpretrain/.mim/configs/_base_/models/van/van_tiny.py sha256=dTFY9lyiP_EYQzf1ZXvcMHoVz2oMdXjwDFyPlQ2hyws 731
mmpretrain/.mim/configs/_base_/models/vig/pyramid_vig_base.py sha256=-4wuUnPF-VoyvTPEyH9qd5AEPf6mbVA9AwjU0YdqmiA 818
mmpretrain/.mim/configs/_base_/models/vig/pyramid_vig_medium.py sha256=QE5xBvGWen2aarviSWJPtZb94IOdQiDATHxL4g5cQUk 819
mmpretrain/.mim/configs/_base_/models/vig/pyramid_vig_small.py sha256=ZrLtpj39fReXks9KOSqm-T7dSGbDq6m61WhjM--uRZU 818
mmpretrain/.mim/configs/_base_/models/vig/pyramid_vig_tiny.py sha256=dF6F-8X7FSg1UuKeViI3xVS-z8nlLFjVP0oM6EF-UkY 817
mmpretrain/.mim/configs/_base_/models/vig/vig_base.py sha256=Bs-3CwyWEjUBjE3dG_Jk_ZnIvF_eKuxjJCTo3tKCw6w 848
mmpretrain/.mim/configs/_base_/models/vig/vig_small.py sha256=sLCUQivaUMjx0dppZUfVV495Taq-ohE4zmYIenN_gso 849
mmpretrain/.mim/configs/_base_/models/vig/vig_tiny.py sha256=koI8m9f63P6WqjsENorJqSaPdxigDv24CKErtowyqUs 848
mmpretrain/.mim/configs/_base_/schedules/cifar10_bs128.py sha256=_N0VfytjtLmwMgxeIeqOEb-MkdXBk-DSu-FfYxfw8mU 493
mmpretrain/.mim/configs/_base_/schedules/cub_bs64.py sha256=0cuAtFji6c9yQM_aH8KVbzMklSkN8Hk8L7ayY5sHhno 820
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs1024_adamw_conformer.py sha256=5vCX1r846KySPZ87hHWGbnvNsR4vvg5RYhkx9QpZr60 1035
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs1024_adamw_hivit.py sha256=msRNUWyPlmnNPuVvz34_DE-ZyowVyjOEHhP5H8Hytw4 1125
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs1024_adamw_revvit.py sha256=4UTE1Pa0RfQox7sihOZKvXGbHm9TX9iZ71v1GLql29I 1137
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs1024_adamw_swin.py sha256=P6XjQA6GYJPZw5ufCPgAWgiQE69deAw5AJ5uxb1roak 1134
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs1024_coslr.py sha256=pXOo9VMiNNeLObH09ATbgl8Ac6SpUhtAwP-ITFBqSQ4 573
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs1024_linearlr_bn_nowd.py sha256=-v-nSpXj_nh13-RZg5hHTeeUxdXeX6NEK5XyOOI5IKI 606
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs2048.py sha256=FsLNEnnh9orwDl1DD826sv0JfJuCnIEUBS1CEvuBYhQ 624
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs2048_AdamW.py sha256=UKS47C6KNKhXRlEyKBMzrnPJGZaF2EzwPMxayZJYrtg 1133
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs2048_adamw_levit.py sha256=BCcC6P5SibpWbw7K0ccZ0_rBOfr23iCpyWmB9IE-tmI 1023
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs2048_coslr.py sha256=uvyEukmGkRKR6QhLDBA5JwS0NwiLYNlMhHTIyQn6_lg 870
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs2048_rsb.py sha256=0hGe6_fisi65pKRw9Xg-GkZRyVCFUgIyoZo0GAT_5IQ 800
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs256.py sha256=HfimouOOD8_4ick_qgJJUVwC0xtvF7dMehdqRevdG8c 497
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs256_140e.py sha256=4KNG8mEiQaYpxOVGsUkc9nA9hAARaQP62pZx4_waTTw 498
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs256_200e_coslr_warmup.py sha256=eCra7FxAlDU1yG5D5D_P-D4MufcEVhmqA_gD9RFwaG8 804
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs256_coslr.py sha256=0lx9xkIYudqCZd1ooZ4YSi08CdH_osmwLfJA_jEjLsU 496
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs256_coslr_coswd_300e.py sha256=b_YP-9exO2NJXWU4Iq5pYkwEbgApggtIySoIUdOoQY0 991
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs256_epochstep.py sha256=YYrYJVJwT8P0dBTNVFyfwc4u8bSBstvERbaCfAgkI_s 479
mmpretrain/.mim/configs/_base_/schedules/imagenet_bs4096_AdamW.py sha256=MbFwLBhf1K0AKbULm8jYo33EAEB19j_RdAwz-y4sI8g 953
mmpretrain/.mim/configs/_base_/schedules/imagenet_lars_coslr_200e.py sha256=eLkfcO00EANKhuKgPB4a9VWwbllPsMVennVJ2qLeoLc 515
mmpretrain/.mim/configs/_base_/schedules/imagenet_lars_coslr_90e.py sha256=tw_9Zm8AwIdX00zuqEGtIZ8haKqSfRr5QUJMfY_PWM4 380
mmpretrain/.mim/configs/_base_/schedules/imagenet_sgd_coslr_100e.py sha256=O6tZncnmuxq-aq59s9BfCuQARV07cGoj_5TK9Tepl7k 384
mmpretrain/.mim/configs/_base_/schedules/imagenet_sgd_coslr_200e.py sha256=t-BWrSRtgDji6gYihM4iWIYi4PoZOLDQ3rzenbcxXkU 350
mmpretrain/.mim/configs/_base_/schedules/imagenet_sgd_steplr_100e.py sha256=IBT1oWcif2mPqXS1eRZuyPuz1WtdwukfLSPoWWVWyr4 381
mmpretrain/.mim/configs/arcface/metafile.yml sha256=5tZ5nQji5gmWeOH5UAA7oXm4MgDtNJe_bHrCsLwl5I0 889
mmpretrain/.mim/configs/arcface/resnet50-arcface_8xb32_inshop.py sha256=BXN-EJD78pTP0xa8MaUXjY4UVZkDj2gfTuUv0lUA6qA 1857
mmpretrain/.mim/configs/barlowtwins/barlowtwins_resnet50_8xb256-coslr-1000e_in1k.py sha256=bNiUVFligbSQgdQkkXuRDPqYD8am8LGGdvs5AzfYd2A 1965
mmpretrain/.mim/configs/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k.py sha256=VUOmCLAQq1ThwfNtnKXS8y8-SjXcxVUDjIGmsNTmRU8 1963
mmpretrain/.mim/configs/barlowtwins/metafile.yml sha256=FmRHqD99hhBVZYuUhtV1OLe48THeJWnynEdzgfY-JEQ 1641
mmpretrain/.mim/configs/barlowtwins/benchmarks/resnet50_8xb32-linear-coslr-100e_in1k.py sha256=QcTMqsDgLPwQ2yEirfZEEYQHLZ8kEuATWstob10NQhU 459
mmpretrain/.mim/configs/beit/beit_beit-base-p16_8xb256-amp-coslr-300e_in1k.py sha256=26VVZyWQBkinBSaj4Rd5bV8kZMeIX-Y0XJ59F3qM1aA 3752
mmpretrain/.mim/configs/beit/metafile.yml sha256=JDLHwQruwjYLojWUSLkgv30CPtTrwDUksXoP2DNn4wY 2534
mmpretrain/.mim/configs/beit/benchmarks/beit-base-p16_8xb128-coslr-100e_in1k.py sha256=YLzgPOk4urOnDKErdfGwc5D8-yN56qHqvtfzGLVLWBM 3594
mmpretrain/.mim/configs/beit/benchmarks/beit-base-p16_8xb64_in1k.py sha256=wh9TQVoA7HTCPHRBgsSKb10cITGeebKBP5MuSSda6B8 1144
mmpretrain/.mim/configs/beitv2/beitv2_beit-base-p16_8xb256-amp-coslr-1600e_in1k.py sha256=MZuwR2Qd5ue4gw2lD6IJ40aawoKdNirKw0D-zY4TRGA 3432
mmpretrain/.mim/configs/beitv2/beitv2_beit-base-p16_8xb256-amp-coslr-300e_in1k.py sha256=CE93PwQlVnB6mNTzFc4W3ASlgEP0e_t128yeV0QKxD0 3428
mmpretrain/.mim/configs/beitv2/metafile.yml sha256=Ixvm1qoWisGgO88wmqOxUYX1ZzCRmwPS7zY__XmLD_o 2602
mmpretrain/.mim/configs/beitv2/benchmarks/beit-base-p16_8xb128-coslr-100e_in1k.py sha256=cta86YkZ9QYYt5FHIDgA06Z4YIDSrcMGuXpSIiJsj3Y 3607
mmpretrain/.mim/configs/beitv2/benchmarks/beit-base-p16_8xb64_in1k.py sha256=1oo9hgxvhVuji5Atv9hFUhEBWB_KOuQWMbTDS2IB_cM 935
mmpretrain/.mim/configs/blip/blip-base_8xb16_refcoco.py sha256=WbfY2ij9DTTWLO7X2W12zTz6Nd0RWLj0Q4JTyFM0SDc 1592
mmpretrain/.mim/configs/blip/blip-base_8xb32_caption.py sha256=lRdFp8vUVd7dk_dHNigo8yxvcCOm9_reXvZzg4UbgI8 1555
mmpretrain/.mim/configs/blip/blip-base_8xb32_caption_flickr30k.py sha256=fopJwEgHvRd3IVcCwWUbxd_xeJ469qf3haZdjlQVSbI 1560
mmpretrain/.mim/configs/blip/blip-base_8xb32_nlvr.py sha256=NHdMhCTSh1Izd70k72NckAa8LMvirWTQkKDgMFNtKgs 1528
mmpretrain/.mim/configs/blip/blip-base_8xb32_nocaps.py sha256=xCGVEF8sORgGZ0JaZlGE1Z4AU3dWcAc735Dz_rV3QD0 1288
mmpretrain/.mim/configs/blip/blip-base_8xb32_ocrvqa.py sha256=Y3wdm1UFCU3KHJEbbi6-rJUqJTG1rwK0AdF6-PjyjCk 2254
mmpretrain/.mim/configs/blip/blip-base_8xb32_okvqa.py sha256=2lL7JpPd3av9rExKQWTNMHOfXyBtOsC3L1JBjOpH_Ig 2258
mmpretrain/.mim/configs/blip/blip-base_8xb32_retrieval.py sha256=nQscOe6ea8-ZsMTmOMgWES5nkvlWyY7Is0y01NC39lk 2090
mmpretrain/.mim/configs/blip/blip-base_8xb32_retrieval_flickr30k.py sha256=suEp5WPFuWiY4a2ZJjGFTeg_v17QDAAGTVMsdjHHQhw 2095
mmpretrain/.mim/configs/blip/blip-base_8xb32_vqa.py sha256=LhrXzkYsTkFwUZG0_2jvGirtvjIdlAk86ry6gZybneQ 2392
mmpretrain/.mim/configs/blip/metafile.yml sha256=2eUUDBPOC4akbhVUr_ewhXB8RAdXms8_aTqXRe25hfc 3440
mmpretrain/.mim/configs/blip2/blip2-opt2.7b_8xb16_gqa.py sha256=laL9GRyMKZzy3ZHFWUhw7xUvSMJgWqjtS8WZmUZjsZM 2218
mmpretrain/.mim/configs/blip2/blip2-opt2.7b_8xb16_vqa.py sha256=eoM5r0sabbAdObsrgv65dekIrWFAHa_sOG0U485unrY 2397
mmpretrain/.mim/configs/blip2/blip2-opt2.7b_8xb32_caption.py sha256=feFNgJHvZCvRjiOLIgauE8qA9QoQDpdp2O5HEiYQ-3I 1903
mmpretrain/.mim/configs/blip2/blip2_8xb32_retrieval.py sha256=EzJdYPpOu92DvSo2AUjJQ2fiJGpa_MUV5D0Cf4UYyqo 2150
mmpretrain/.mim/configs/blip2/metafile.yml sha256=LqTVLGbQA_n69xJ_ycZmSxzmAayejKlU_OQePjLcCR0 2438
mmpretrain/.mim/configs/byol/byol_resnet50_16xb256-coslr-200e_in1k.py sha256=UPBO7LcLQtBqM5EFkViVYko3LfkyjOb-hqfHldYz3VU 1669
mmpretrain/.mim/configs/byol/metafile.yml sha256=K_FpFLB5TOr7-rXXxdHRFIdBEx_otLLf25T_Q13vDcE 1573
mmpretrain/.mim/configs/byol/benchmarks/mask-rcnn_r50-c4_ms-1x_coco.py sha256=_i5Sal4kW0dNhmlwfH9g2RFxK99XzEWLt6rmeFLKsG0 1482
mmpretrain/.mim/configs/byol/benchmarks/mask-rcnn_r50_fpn_ms-1x_coco.py sha256=Xi4qMgT8jBG81MOiL9HZL4AqpOuGB9bBxSRKBy-jVuk 911
mmpretrain/.mim/configs/byol/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py sha256=JokwbqJ9OaOrc0l70vgg30kBakjTJeQr6mEyHBUvsUY 518
mmpretrain/.mim/configs/cae/cae_beit-base-p16_8xb256-amp-coslr-300e_in1k.py sha256=_b_Ymaj0u59HFFl5pF7tmxmR4okcBsiTMCQfVr8-aAE 3138
mmpretrain/.mim/configs/cae/metafile.yml sha256=c_4SiG_H_SVF8P-R_BAsbv44O5-58KgMFO2JCSZXHqo 1553
mmpretrain/.mim/configs/cae/benchmarks/beit-base-p16_8xb128-coslr-100e_in1k.py sha256=qjYJ1XWcPo_szTqv1t9WWfFmWrAxxtba0GCq4l2II_Q 3601
mmpretrain/.mim/configs/chinese_clip/cn-clip_resnet50_zeroshot-cls_cifar100.py sha256=3xBZqlGT4VvSjD2oj8q0M2EIg--QBc7AiOMP5K42Rdk 1869
mmpretrain/.mim/configs/chinese_clip/cn-clip_vit-base-p16_zeroshot-cls_cifar100.py sha256=iVsg-MLaf9r_Cyuvc4N1qaHBhXsIuYdb5Nw_eLhDXUg 2030
mmpretrain/.mim/configs/chinese_clip/cn-clip_vit-huge-p14_zeroshot-cls_cifar100.py sha256=ubGpDJtikOyvumMI8Kit1e8SgbR-Bgq5gKpKFVUJoyM 1999
mmpretrain/.mim/configs/chinese_clip/cn-clip_vit-large-p14_zeroshot-cls_cifar100.py sha256=BQvE4bUJPyjaKH9Vz9aQZIvFDlyyH85U77-XASDf-yE 1998
mmpretrain/.mim/configs/chinese_clip/metafile.yml sha256=HXjIJ7V1LZGZGugtboa7rERvfNvMJdl91HhWhjIB_oU 2928
mmpretrain/.mim/configs/clip/clip_vit-base-p16_zeroshot-cls_cifar100.py sha256=5fdyI9XB1C8x81U9PLKZjPu1y-BH1alxI4UYqfuq2ZU 1684
mmpretrain/.mim/configs/clip/clip_vit-base-p16_zeroshot-cls_in1k.py sha256=NYQTnHSofmtT0JZea6CmoYOWp_va3-MXU2UDLvzdKYE 1762
mmpretrain/.mim/configs/clip/clip_vit-large-p14_zeroshot-cls_cifar100.py sha256=_AE1Jod8-OQqaWucc2ytX594M1SKzJbB71MU0ak0RHA 1688
mmpretrain/.mim/configs/clip/clip_vit-large-p14_zeroshot-cls_in1k.py sha256=H5KsyEB9arEZ41Rb9f-BwN1omwMAWq32ArPX3NotePM 1766
mmpretrain/.mim/configs/clip/metafile.yml sha256=PlkKwSJ0UH7ZzO2PjTBOIw1jh91TmLREQUKrMzzjhTc 11724
mmpretrain/.mim/configs/clip/vit-base-p16_pt-64xb64_in1k-384px.py sha256=SdmYUIYK5gWsp03OJMn8BQ-fzUWU_uPgUUVk7q7pbGw 1067
mmpretrain/.mim/configs/clip/vit-base-p16_pt-64xb64_in1k-448px.py sha256=Trzxw6c--ZPKX_SikzC3jpCYBhiCRysTf0Aj2B4Y-sk 1067
mmpretrain/.mim/configs/clip/vit-base-p16_pt-64xb64_in1k.py sha256=zWm8Up3o9FKo9M75k8SffKh-CZR3CZoprSxAVRTQGhY 1067
mmpretrain/.mim/configs/clip/vit-base-p32_pt-64xb64_in1k-384px.py sha256=s9GJEVOljPfPdcwqr6J1vJgR8olRlEJo4Zujsfdjjm0 1067
mmpretrain/.mim/configs/clip/vit-base-p32_pt-64xb64_in1k-448px.py sha256=oNQFdCbPp7Fl9wUzO9bC06KQcr9bHpw7Zl80ojwEtjw 1067
mmpretrain/.mim/configs/clip/vit-base-p32_pt-64xb64_in1k.py sha256=ra_JhKfrDE6YvLszjr1UkPywQxbMJyd9hA9B2LhcZik 1067
mmpretrain/.mim/configs/clip/vit-large-p14_headless.py sha256=co8hGh94o2CHtinZRyYNEm4l3aIFlIiMmpVnDwOBhLY 789
mmpretrain/.mim/configs/conformer/conformer-base-p16_8xb128_in1k.py sha256=d4J2E-_mtbtYPWX-5R32FME7gJKbm0B6KJR1qVmGYVM 249
mmpretrain/.mim/configs/conformer/conformer-small-p16_8xb128_in1k.py sha256=xpdWJQ9ckpYe2Lgez2XEdD8cu1E9eMNs8aIfQEKvBO0 250
mmpretrain/.mim/configs/conformer/conformer-small-p32_8xb128_in1k.py sha256=KS8mZra3vO1R7WnAHSB7gG3bTnu6-atZvNRgT_XlsWk 250
mmpretrain/.mim/configs/conformer/conformer-tiny-p16_8xb128_in1k.py sha256=RasCoQbIxPTBuzCRazsFINk69APpPllYXVbSREyh2N0 249
mmpretrain/.mim/configs/conformer/metafile.yml sha256=kuM5Gwe8_b__MHUZRzYBnMXdBiEJ3J4mzOaqODSo5bk 3086
mmpretrain/.mim/configs/convmixer/convmixer-1024-20_10xb64_in1k.py sha256=0VnMCCcUck3qvygu56930gNBbZ4058GbOdAeQw_12eg 988
mmpretrain/.mim/configs/convmixer/convmixer-1536-20_10xb64_in1k.py sha256=qZl_zCdLIxSlqfkE7v7zCrlSFCp6zAxmBZZPDB3ke34 988
mmpretrain/.mim/configs/convmixer/convmixer-768-32_10xb64_in1k.py sha256=-SMLLG0ZcrbWPbgdLYiUvSCz8L4moCpb5UZdrC4MhvU 568
mmpretrain/.mim/configs/convmixer/metafile.yml sha256=o1do0Ox3ssYopNY_nSV0Tszh9pqJ5sVkPslDBbjlj1Y 2307
mmpretrain/.mim/configs/convnext/convnext-base_32xb128_in1k-384px.py sha256=9h5x16HM5ThqgKy1c8ju_rGsFdtq_v6zOKwPZqxYOUw 668
mmpretrain/.mim/configs/convnext/convnext-base_32xb128_in1k.py sha256=SugEiwrCDjgoqnTFRXMi6V5BLIvLBrxAqtydGm37Hx8 654
mmpretrain/.mim/configs/convnext/convnext-base_32xb128_in21k.py sha256=_W9FhoRyJI-0BSsVdVtbSe4SwVejxbMJKJ6dew1NuBw 670
mmpretrain/.mim/configs/convnext/convnext-large_64xb64_in1k-384px.py sha256=FX2iLRRToa9HFiK5PIXFnsMKv92lrQ6n5VmDxBRNEMc 667
mmpretrain/.mim/configs/convnext/convnext-large_64xb64_in1k.py sha256=ywfWPQOHliNY5SOXd9GUy8TTl9XVdlYwutPLEFqF1ys 653
mmpretrain/.mim/configs/convnext/convnext-large_64xb64_in21k.py sha256=AlBZ1TzrWvGgj1GUL9PXfaaO2rgwg5550Xg7KrZuQsk 669
mmpretrain/.mim/configs/convnext/convnext-small_32xb128_in1k-384px.py sha256=4IAz-S98PsJfFh4YtxDprtRUduOQoNivBHY7RnvCz4Y 669
mmpretrain/.mim/configs/convnext/convnext-small_32xb128_in1k.py sha256=su_F5lXq4aP2uwnaBDoSgzZhxvqfR1NAWndCAe8YCA8 655
mmpretrain/.mim/configs/convnext/convnext-tiny_32xb128_in1k-384px.py sha256=YXS-sDucntzZHTokpIeBCZFPBLC6daSa1c_aKSQ_PGs 668
mmpretrain/.mim/configs/convnext/convnext-tiny_32xb128_in1k.py sha256=KCoQVadbeKRfK_p0Ylzgb1dW-xHRlULEtJ6NOmQP6E0 654
mmpretrain/.mim/configs/convnext/convnext-xlarge_64xb64_in1k-384px.py sha256=51WcjAOMzxQ-S0GBdVmW2iHVflG-qUoFBRHwsELUk0s 668
mmpretrain/.mim/configs/convnext/convnext-xlarge_64xb64_in1k.py sha256=5jhkXGv6WAJDHofduDwzb2nIdg29gVBbpS8AazzOhlE 654
mmpretrain/.mim/configs/convnext/convnext-xlarge_64xb64_in21k.py sha256=AlBZ1TzrWvGgj1GUL9PXfaaO2rgwg5550Xg7KrZuQsk 669
mmpretrain/.mim/configs/convnext/metafile.yml sha256=Hm9LvTWlctxn-HgJuo2fdygl1Jwpju24srV9AptXHLg 15777
mmpretrain/.mim/configs/convnext_v2/convnext-v2-atto_32xb32_in1k.py sha256=nLjNzdrBe0QwEW5hXmerbfqVKAjxkWNxDeb36Gcge-o 659
mmpretrain/.mim/configs/convnext_v2/convnext-v2-base_32xb32_in1k-384px.py sha256=thvSi9_hgVgy6tCH1aiNGaRcZqwPh1201Hz3-E4cMz8 895
mmpretrain/.mim/configs/convnext_v2/convnext-v2-base_32xb32_in1k.py sha256=zldmuXG3CRvrGq45K--KAHSS9t-utAJ1avRsrmBLibQ 895
mmpretrain/.mim/configs/convnext_v2/convnext-v2-femto_32xb32_in1k.py sha256=6sxt0IeW6Vlct_nAV1tyvj4OCrKzLFHHk22Nwb1BLyM 660
mmpretrain/.mim/configs/convnext_v2/convnext-v2-huge_32xb32_in1k-384px.py sha256=PXALmOBTpk-qk9v-TZQmLM5lrbyT7u0gaQL_e3ZNpGw 895
mmpretrain/.mim/configs/convnext_v2/convnext-v2-huge_32xb32_in1k-512px.py sha256=hTY_mx_ezcSpTGEwkrrMKP0YVzrjChF86vf-VSSt048 1493
mmpretrain/.mim/configs/convnext_v2/convnext-v2-huge_32xb32_in1k.py sha256=qBFFLLh6YPkdfCaqtSnwZWr3E4xSICMJ1YdXuUAN6xo 895
mmpretrain/.mim/configs/convnext_v2/convnext-v2-large_32xb32_in1k-384px.py sha256=pBE0UmDqASUAN3gjY_bhvNOq2HvEJWcF21WATUcIvDg 896
mmpretrain/.mim/configs/convnext_v2/convnext-v2-large_32xb32_in1k.py sha256=DJdQPv132jql_IjZMRc57tv5myKa6ZVcldGO3YvlaSY 896
mmpretrain/.mim/configs/convnext_v2/convnext-v2-nano_32xb32_in1k-384px.py sha256=7pRXiinr-mu4NhbHetqwwSh7Sb6AbdYECm7Dyzzq6fs 659
mmpretrain/.mim/configs/convnext_v2/convnext-v2-nano_32xb32_in1k.py sha256=fVoMBK6eL_G-EodBloN7iWZF4sYF0-NSCFDls96ZQxg 659
mmpretrain/.mim/configs/convnext_v2/convnext-v2-pico_32xb32_in1k.py sha256=kCZPL0XUcLFTUZIZ_TR3NjT6rLL5_yvIKyrFsBaJEGU 659
mmpretrain/.mim/configs/convnext_v2/convnext-v2-tiny_32xb32_in1k-384px.py sha256=urKmrfgaYOfVFWOaVVLjDEouMppcsWzg3xgSg13wZQc 895
mmpretrain/.mim/configs/convnext_v2/convnext-v2-tiny_32xb32_in1k.py sha256=UFHZwJkXiWEKXPWpyZkv8pRdanJFc5NMH0blvJq7N6o 895
mmpretrain/.mim/configs/convnext_v2/metafile.yml sha256=Mp6sjOKddQwmDAB1qMahJ8-EviuNpPJxJKlsBlnhC6U 18532
mmpretrain/.mim/configs/cspnet/cspdarknet50_8xb32_in1k.py sha256=1VIpS020fyxGu2iPmLlSR3i74h-ZZ3_M6ljbAFwBfLU 1199
mmpretrain/.mim/configs/cspnet/cspresnet50_8xb32_in1k.py sha256=eXKSFMXZR2gUQmyNA8eHQz3ED8GZQ7v6J_tJ0QlHYqU 1198
mmpretrain/.mim/configs/cspnet/cspresnext50_8xb32_in1k.py sha256=mvmmBI68KCn8ggnPcR8PE6CABYgRbQvVkEHaTP3F5IU 1199
mmpretrain/.mim/configs/cspnet/metafile.yml sha256=jhVNLBQK7ZGfbqFs1gBUhnlhLo-7sHj4g5AvirOBGTs 2520
mmpretrain/.mim/configs/csra/metafile.yml sha256=WxpVw6F6_CFIxhcf0y39rFqvYBOnCEegUOdx02rj9QQ 961
mmpretrain/.mim/configs/csra/resnet101-csra_1xb16_voc07-448px.py sha256=CxBkG6d3ULEkNvTKJF4UxdX-x1eeUt3W1ci7dMMRRu0 2558
mmpretrain/.mim/configs/davit/davit-base_4xb256_in1k.py sha256=YCkkm2Y9q1JaZYvLEgG5OXbeWl2JdGyByvInHUPKvSM 260
mmpretrain/.mim/configs/davit/davit-small_4xb256_in1k.py sha256=CmPHMKd61vcfyTzCNfofLCZ7U-CL1wzSgywwI_WwY7A 261
mmpretrain/.mim/configs/davit/davit-tiny_4xb256_in1k.py sha256=3V0KVH6k9DNkFEcRKWI6N9p4-W86Va-TjeZbdsy0nYY 260
mmpretrain/.mim/configs/davit/metafile.yml sha256=5aQrh4mGm6hvhIen8XUXiPmJuZDjsmbxXvMBn8E31xc 2578
mmpretrain/.mim/configs/deit/deit-base-distilled_16xb32_in1k-384px.py sha256=IJGW86fOzxiGb4m_A_h2_nsPn-KPZ9MU9BhW1necLmY 995
mmpretrain/.mim/configs/deit/deit-base-distilled_16xb64_in1k.py sha256=7Xw1z_dkmF_XOuoWa8iF6L_q-dQB046U9-wv0_8lCe8 1177
mmpretrain/.mim/configs/deit/deit-base_16xb32_in1k-384px.py sha256=8X1jekgRn59JR2hVANrhmuDg9Ewp00SW7qp2A2yXvA4 999
mmpretrain/.mim/configs/deit/deit-base_16xb64_in1k.py sha256=xCzAMBFDaRGsXa23TFL8ixxcdAfE1qcxd17u8zg25vI 1307
mmpretrain/.mim/configs/deit/deit-small-distilled_4xb256_in1k.py sha256=cMcxETvncF_1iKen6kGFegOo9VNHzTxzKTWtnJZ8aZ4 1176
mmpretrain/.mim/configs/deit/deit-small_4xb256_in1k.py sha256=By1dOzh2jfXa2YKzALyRPp1AR8zdAYa_3bH7tWc9sZ0 1273
mmpretrain/.mim/configs/deit/deit-tiny-distilled_4xb256_in1k.py sha256=bhOHYXP7LQ4iao1vyh-oXEMN4khc-2ltRQClynNvCkE 1225
mmpretrain/.mim/configs/deit/deit-tiny_4xb256_in1k.py sha256=uJbg8raSt5QVKQWy7x_miovTLqMAElCb5MoDU4qjDag 1272
mmpretrain/.mim/configs/deit/metafile.yml sha256=WvmugcswdHqr-3iSbXWICW78Ow8I8t_aylMRqUAQ3IE 6153
mmpretrain/.mim/configs/deit3/deit3-base-p16_64xb32_in1k-384px.py sha256=1I0JbWAqFM8sUKv28gy8CEBwcOgl8rGclwY5Ngu99q8 544
mmpretrain/.mim/configs/deit3/deit3-base-p16_64xb64_in1k.py sha256=3urgZb-ungoeDGgabrtnWRtJiIzRFU7uMgmZUhWKKqQ 544
mmpretrain/.mim/configs/deit3/deit3-huge-p14_64xb32_in1k.py sha256=9vY7Dvw45XlFTiZ6K4YnHRbTnIkxYMgdh9ufl_kai-s 544
mmpretrain/.mim/configs/deit3/deit3-large-p16_64xb16_in1k-384px.py sha256=YUOk3CZ6dl5s-fUZaDyj2ouXqCrz8rTMVeee8SeQA50 545
mmpretrain/.mim/configs/deit3/deit3-large-p16_64xb64_in1k.py sha256=9uQtRxL_A-xGBfRwxdCPzb4l_ZYNGYLI3IbUamm4D9U 545
mmpretrain/.mim/configs/deit3/deit3-medium-p16_64xb64_in1k.py sha256=LUTQ5p8HG8ga-MI_9vmjn0w-cQ2DqUOTceuQTDU8ReE 546
mmpretrain/.mim/configs/deit3/deit3-small-p16_64xb64_in1k-384px.py sha256=0PpANHxI4pIEZKXg7xUvRyXFXqu3pEyb-0mnc3VlriI 545
mmpretrain/.mim/configs/deit3/deit3-small-p16_64xb64_in1k.py sha256=Q9giiHuWLhnAUaAtZ8kB7AEnt4H9BXu6Ak_MEqlwXu4 545
mmpretrain/.mim/configs/deit3/metafile.yml sha256=ejN8-aTgSdA8RqitG9uLGOmNWwARgRCa6GMOfK2-460 11683
mmpretrain/.mim/configs/densecl/densecl_resnet50_8xb32-coslr-200e_in1k.py sha256=R1LINSxHtnc14SfGBMR9wZyiE2fxFMNi-q66YDApHTw 1010
mmpretrain/.mim/configs/densecl/metafile.yml sha256=MHuQRuLeV_1Ma05uNvi6nmC0B5_GvxTui7S0J5ioI8k 1594
mmpretrain/.mim/configs/densecl/benchmarks/resnet50_8xb32-linear-steplr-100e_in1k.py sha256=gjYtxdaywUlfP636D7oTvuhjds86a3bSBjER2bmnn2g 591
mmpretrain/.mim/configs/densenet/densenet121_4xb256_in1k.py sha256=ciToCLG7vnwuJ2kLoCM9K0A0V_gFXzOSLGcsMtUEP8E 509
mmpretrain/.mim/configs/densenet/densenet161_4xb256_in1k.py sha256=fLKP2or2wpnWRc5IwMme79C0FukkFTcPOMEQktK5vpY 509
mmpretrain/.mim/configs/densenet/densenet169_4xb256_in1k.py sha256=n3ACUi7QlqcRuXSwrzIUSM_wctLIE8fu3kwv83pNB1s 509
mmpretrain/.mim/configs/densenet/densenet201_4xb256_in1k.py sha256=7AScgibwR-y1W1jSEXEW4GEfWqkTm4I_rEYgI7w9g0A 509
mmpretrain/.mim/configs/densenet/metafile.yml sha256=O-gVMF4jsnxNsIdZElDTW1bfUlSFPmLz99XxXQ9xyZg 2856
mmpretrain/.mim/configs/dinov2/metafile.yml sha256=9TJ_ccbjf0BiWlw0B-M3hQ0gfk6dvGjgj_SKkyd_OF8 2626
mmpretrain/.mim/configs/dinov2/vit-base-p14_dinov2-pre_headless.py sha256=wVARobwJikAFc1-KohX1ufZL0mLM7sSZbJ9aGkYxc1k 445
mmpretrain/.mim/configs/dinov2/vit-giant-p14_dinov2-pre_headless.py sha256=WTuHyVejQPDQn7qheGLyrJnmPYp_ycoIMCntRJto2vQ 503
mmpretrain/.mim/configs/dinov2/vit-large-p14_dinov2-pre_headless.py sha256=yMNCl494v15CA8EckAlNSkUzWbwK7ap0_fqyCpsIEBA 446
mmpretrain/.mim/configs/dinov2/vit-small-p14_dinov2-pre_headless.py sha256=uE0Fe3aOVzhpPCjB5dknAygyx3DFpQ8-2nwFaYqfZAs 453
mmpretrain/.mim/configs/edgenext/edgenext-base_8xb256-usi_in1k.py sha256=JBryFTbxTJnw8X72xoGQxLSk76T0FqlHzAEWRwI3iz4 425
mmpretrain/.mim/configs/edgenext/edgenext-base_8xb256_in1k.py sha256=TpXIP_FLILzrGNPSS69cqAkdtKZR6rLHdjgP3LnN0Es 613
mmpretrain/.mim/configs/edgenext/edgenext-small_8xb256-usi_in1k.py sha256=VYeIkI9YDVoLTnCgJWFhV0ic6Uo0PFlOAueFEATksgE 426
mmpretrain/.mim/configs/edgenext/edgenext-small_8xb256_in1k.py sha256=xTPr_SvqcR-F4ak87-6DUXkjAFuWPzYO7diWx3N_c-w 614
mmpretrain/.mim/configs/edgenext/edgenext-xsmall_8xb256_in1k.py sha256=13fhuYW8ptKrdw7mZAtPf6klL-j0qwpYHVe_7k1Ginc 615
mmpretrain/.mim/configs/edgenext/edgenext-xxsmall_8xb256_in1k.py sha256=YF13x61bY_1iZ9TciYRH2M8nBo3J02adlHf-93U8n64 616
mmpretrain/.mim/configs/edgenext/metafile.yml sha256=zuY__GIUjI6rMuff3f7XHbwWmFpD8jiT5beJFKleax8 4517
mmpretrain/.mim/configs/efficientformer/efficientformer-l1_8xb128_in1k.py sha256=AsWZvK2BO3aFtJ3o6Imjk5H3U_lIS0wOf0xbzk0RVl8 217
mmpretrain/.mim/configs/efficientformer/efficientformer-l3_8xb128_in1k.py sha256=tiSrg2zV6GHsr_EB8SkI49IuISV-ovoXNwKyIkUzfig 115
mmpretrain/.mim/configs/efficientformer/efficientformer-l7_8xb128_in1k.py sha256=VF04ZZkR-0zyeiRNg39-F_QCTEotDp6J2y-JGv3sfoE 115
mmpretrain/.mim/configs/efficientformer/metafile.yml sha256=Zbn0Z9E_5uHjqbH1Nx5EYhel9xMZf_Cu3wElAXZ1oLg 2687
mmpretrain/.mim/configs/efficientnet/efficientnet-b0_8xb32-01norm_in1k.py sha256=b7fS_gf4A1EcyFiLxBofDWXTTduUd0KCB01BInXAZ5A 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b0_8xb32_in1k.py sha256=0RMTaUcBx6gGX8pi9WJ6lTcUP0_B0P6MxLOOng5fd2g 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b1_8xb32-01norm_in1k.py sha256=fB4CA4qIV57mhnPgDjHK4-6cQJ3kqCD5jFAXOWQ5oCs 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b1_8xb32_in1k.py sha256=T5kEv6gnR8A0zDwiwqAT33fEytN8j2cduJYBs9rrtls 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b2_8xb32-01norm_in1k.py sha256=WuaWpX7idHd14u7tno53ejSa-gb9sEYBJnSSmvnXVtg 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b2_8xb32_in1k.py sha256=kGZtiir6zVXBTkPWvvKcd7OnpndNrPDfFFqfEI5yFG8 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b3_8xb32-01norm_in1k.py sha256=fpjFnAGZ7R0ac9vobSrddh7JpXpKkHszdeoHE7TshqA 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b3_8xb32_in1k.py sha256=SD0iib0IAJjN-nIiOwVV3DM9r59YY-Ls0iIIfqgxB4w 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b4_8xb32-01norm_in1k.py sha256=NBqZ0G1Ejg1p8xYYSn8VeCutziVhTQovCNEs9YdpZnI 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b4_8xb32_in1k.py sha256=o8GtCiq60x4cVsPyKaoNvenqDZQwFY9tzO_t2vm1wxE 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b5_8xb32-01norm_in1k.py sha256=Iyk-ajz0rPfejwGeECehct76HnLHqFoLdNOhYp4NNDM 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b5_8xb32_in1k.py sha256=6eG4WItthUAz3EZZmtEag994M8ijWoWZYlY8-l3DFmY 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b6_8xb32-01norm_in1k.py sha256=FizuGOmuFLVxIkiAeiMz-TbefgEIeipIOpadk48Tv0o 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b6_8xb32_in1k.py sha256=Q_5xxM4N1RJuCRiKq1Gh12DOGJOMEspUXBgbjk2huOY 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b7_8xb32-01norm_in1k.py sha256=ug-gR-ei2_Zf4OrHd_GvFGM34EupL1YlhlKoCmvjhyI 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b7_8xb32_in1k.py sha256=USOJSaWIXiQRDhbkEe1A_1ipmmL_gwLt7h6k-XgpoDA 728
mmpretrain/.mim/configs/efficientnet/efficientnet-b8_8xb32-01norm_in1k.py sha256=feyhA3JjQErbXsu_hb0tKvAE1E0laGGEhttvPYiUlwA 873
mmpretrain/.mim/configs/efficientnet/efficientnet-b8_8xb32_in1k.py sha256=tnoT3iTnget5CuTh3BBXWVxz-TWtmRIGGU-XLJHCYsw 728
mmpretrain/.mim/configs/efficientnet/efficientnet-em_8xb32-01norm_in1k.py sha256=fDJHbgPau1-kafkz8K8d-tcTHY762p07pq1LcUmp42w 873
mmpretrain/.mim/configs/efficientnet/efficientnet-es_8xb32-01norm_in1k.py sha256=OS3AclJj7yCRpjoGWS7yseZJW5ID061IolEvsACzcPE 728
mmpretrain/.mim/configs/efficientnet/efficientnet-l2_8xb32_in1k-475px.py sha256=Nf6sBwKGcqHVMzXxcg6u14YK5sLIe1yAONp95FRB6oY 728
mmpretrain/.mim/configs/efficientnet/efficientnet-l2_8xb8_in1k-800px.py sha256=ZgC-alMSeMqA8DalbX_lIlLGu6XKeU5w3zQyLZQNZos 770
mmpretrain/.mim/configs/efficientnet/metafile.yml sha256=c_l-uXpYmB_FEBHp4j9F7bXxI4gmgLKvPmEXWmeteh4 25083
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-b0_8xb32_in1k.py sha256=8ez8YckTtJMNiC7c7k1rmhd1GISR0U1R305uKxa-WGg 1635
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-b1_8xb32_in1k.py sha256=W6lXu_nqck0L_1PGNQ922e5utWvgIJB9boLzlmQMc6w 679
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-b2_8xb32_in1k.py sha256=4kg93gwdczlFfmTv5Pc4Ll3ue6Ddj6upsm57vvoxwxQ 679
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-b3_8xb32_in1k.py sha256=P6lQ0CUXs7_x-VkThzwN6w4SVbZNJM5h-ldJ-2IjPgc 679
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-l_8xb32_in1k-480px.py sha256=ZDSQo97VFb9Z6sXTYyqFOVBdF6NQRy_LxEm66tpYUIU 675
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-l_8xb32_in21k.py sha256=RuTrWEp_6RoktdPAru2e_6yCXJHIox-DJMSeWUwqyjQ 104
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-m_8xb32_in1k-480px.py sha256=EW9yo4jFTbdNh8OnpPSQ3xnMJQypSuFwcdDy5c6G71k 675
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-m_8xb32_in21k.py sha256=Fx-4kOPVXtBdHifUPIVwJx874AX3bNnGGvUGgUABQ08 104
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-s_8xb32_in1k-384px.py sha256=bisPMEVLFTpHWziWKbEwax4VvAYvL3pNmEHXegXMpp4 1012
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-s_8xb32_in21k.py sha256=svsLtPTR2HvEAZxxEBZfAoeTQevgSNq2w9GGw9w-4tU 1167
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-xl_8xb32_in1k-512px.py sha256=e_Ex8JFctbkZCmsHn3UyJIniniGXsgxf7acp0FZ5paE 676
mmpretrain/.mim/configs/efficientnet_v2/efficientnetv2-xl_8xb32_in21k.py sha256=BJLzm9gW2hGsfOE1amiUQIhfEcaaCce9MzgoPTzhbWU 105
mmpretrain/.mim/configs/efficientnet_v2/metafile.yml sha256=5wpXtd_vYPp6hQ8IE7l16T0fW_BYlTRN5Gicl3jkM2c 11840
mmpretrain/.mim/configs/eva/eva-g-p14_8xb16_in1k-336px.py sha256=qu0qI510xo1-t6UF3VM7yRbGuGsXFxmSqzRdqDAReNQ 253
mmpretrain/.mim/configs/eva/eva-g-p14_8xb16_in1k-560px.py sha256=TMbwSPnEO3Ovc1Z_bi607jBgfIsIH4XY2wJgGf-H86Q 253
mmpretrain/.mim/configs/eva/eva-g-p14_headless.py sha256=MY4zPe3-iKVybAg6pN7fyQxksNYWAsyQzoq1s-Bb8mg 612
mmpretrain/.mim/configs/eva/eva-g-p16_headless.py sha256=6Ah319SDgkNE5Mzlsn9K5uMniCRFWWxt0rYOoG3ZwU0 612
mmpretrain/.mim/configs/eva/eva-l-p14_8xb16_in1k-196px.py sha256=3pFJnrAQFXPnNTltNnBJ1R3Yzo7fYskcqz3iUnUWtG4 253
mmpretrain/.mim/configs/eva/eva-l-p14_8xb16_in1k-336px.py sha256=jGTmBGeCqsEci-APKmfJshuf2NcsfNTnRYBjWMOnqFo 253
mmpretrain/.mim/configs/eva/eva-l-p14_headless.py sha256=RaI-MNd62wVgV4BRl4cRJM3lNh6WHnUI1sx1qyAZexM 644
mmpretrain/.mim/configs/eva/eva-mae-style_vit-base-p16_16xb256-coslr-400e_in1k.py sha256=1GMYl63yhu1xV0w8S043d1tOH44-z_bbuagQ6jpwF2w 2378
mmpretrain/.mim/configs/eva/metafile.yml sha256=k5wuvncHGVShtl9DDH06iNiXrbRz1T1aaRItDPWwd-w 9809
mmpretrain/.mim/configs/eva/benchmarks/vit-base-p16_8xb128-coslr-100e_in1k.py sha256=l5HATabQh5gj-O4pMC1Kw_dUldK12gW_kKnk-I3Jloc 3232
mmpretrain/.mim/configs/eva/benchmarks/vit-base-p16_8xb2048-linear-coslr-100e_in1k.py sha256=7-b6WaDFfr0A0y1N08p6NUM6_2jT5JBfyBvS3yj5rrI 1885
mmpretrain/.mim/configs/eva02/eva02-base-p14_headless.py sha256=Er_jdEDXVl2GUfqHzZlFqTnQRV51wsdodOJ10kTIEQM 513
mmpretrain/.mim/configs/eva02/eva02-base-p14_in1k.py sha256=wQu1CQwAWYtCyXbFE7mVHEaTd4mSTfRYZ-bkQU6OyRg 858
mmpretrain/.mim/configs/eva02/eva02-large-p14_headless.py sha256=T3HjNdjiaGDMFCE8cgPoFx9D3PtEVoPJumarwtwZM5I 513
mmpretrain/.mim/configs/eva02/eva02-large-p14_in1k.py sha256=GI_xfpxoPy9BqN_4sP5fQzeg9JnyVqDIdQDONdebMXk 859
mmpretrain/.mim/configs/eva02/eva02-small-p14_headless.py sha256=gDtzj2ySKDpBxb-pgb4WYu_SKH5tbQke3i5vI71gGIY 492
mmpretrain/.mim/configs/eva02/eva02-small-p14_in1k.py sha256=ABZjQhTfWFvE6ktU3TNlUvNyQWI_KZPl9ODuessulgY 837
mmpretrain/.mim/configs/eva02/eva02-tiny-p14_headless.py sha256=c1foPUdk26YG02q4PVHoLVlqpMJLkRX17nK7PshRLmQ 492
mmpretrain/.mim/configs/eva02/eva02-tiny-p14_in1k.py sha256=gNeLp4ynLPHwjwULiuzCIuswDaLqvwkAXpWr_2RXMA4 837
mmpretrain/.mim/configs/eva02/metafile.yml sha256=zqrrxdGWJSnhHayiXDgBPtnkLDUbO2E_4Q8PLw1VJD0 8019
mmpretrain/.mim/configs/flamingo/flamingo_fewshot_caption.py sha256=NTgktW0C722EKKVYGH1luXLdON855sAiEJUqvxuaq4w 2797
mmpretrain/.mim/configs/flamingo/flamingo_fewshot_vqa.py sha256=gM7mjbB9jRHBZfZ-o5zN8k5b5wz82uqQp_hPx-Gw7Ao 3298
mmpretrain/.mim/configs/flamingo/flamingo_zeroshot_caption.py sha256=dQc9JQ7eWhGzQKqiLzrChfvDY2nAu1-CgnZhOUecny8 2716
mmpretrain/.mim/configs/flamingo/flamingo_zeroshot_vqa.py sha256=HTSt_D2sY-6bA4kkOgqFw9eU8Thyn_-FvMRaMsIRKak 3239
mmpretrain/.mim/configs/flamingo/metafile.yml sha256=af602Nb7tyNWOhoLQPL2H0OB51hLRm0KSdUv-PuKy3A 1494
mmpretrain/.mim/configs/glip/glip-l_headless.py sha256=2sZs-GEE3Npk4zSp-WUk_DQkrrsjNI2NKFgS8ED4Tcs 487
mmpretrain/.mim/configs/glip/glip-t_headless.py sha256=R6OAZQc3ewf_JdoTUd9yDjG3CK09Xs2y3cdB4ezflXU 434
mmpretrain/.mim/configs/glip/metafile.yml sha256=V-h08lHKIPniALoS2Azul5hA-KZmNq9R3VC80nhMQBA 1604
mmpretrain/.mim/configs/hivit/hivit-base-p16_16xb64_in1k.py sha256=mNX0nRtvvqAkFcY0ryYm9vfwjiFQR5KhU0BzOnut7SY 273
mmpretrain/.mim/configs/hivit/hivit-small-p16_16xb64_in1k.py sha256=j6-_S4ygYRaBYFNnk-v90KmeVO0G0J6XdG4D9U7gUNU 274
mmpretrain/.mim/configs/hivit/hivit-tiny-p16_16xb64_in1k.py sha256=kKcPZcGLuOdnlOvJos7nDYVcxlcQYP0RSLhErTshdLg 273
mmpretrain/.mim/configs/hivit/metafile.yml sha256=N9pIN55siRAafzZzoFcSsA3lkXpdgVQRe8b80_aZk_c 1549
mmpretrain/.mim/configs/hornet/hornet-base-gf_8xb64_in1k.py sha256=dm7LcbRKoovIoSARC934NzSuCZzCuIqHjpBYBBD3fOM 396
mmpretrain/.mim/configs/hornet/hornet-base_8xb64_in1k.py sha256=MEGexvHD3Yc-0ERgkL8u_MNCIbO0eTwozd821PxNHkA 393
mmpretrain/.mim/configs/hornet/hornet-small-gf_8xb64_in1k.py sha256=zixzlvqt3TP6ND6Jz5Dexf7QVWCSz53DdrPVvcm1Za0 397
mmpretrain/.mim/configs/hornet/hornet-small_8xb64_in1k.py sha256=Il_MBSDRJBhfyUsBmJAuMIk2ah0cINNwbejd4bhRnLs 394
mmpretrain/.mim/configs/hornet/hornet-tiny-gf_8xb128_in1k.py sha256=4VIWfJj1G2Zdx7r1ErcHrBzEqhTPrcVDwehdagPL7xg 397
mmpretrain/.mim/configs/hornet/hornet-tiny_8xb128_in1k.py sha256=7FRo1rpK4D2-oXRFjhzU6x23gXCyde13YJNtjIGZ1lE 396
mmpretrain/.mim/configs/hornet/metafile.yml sha256=uR6IOLF6Do6EYEdiIEvvff5Dz6-vkOgCjOFg4UUTjt8 4401
mmpretrain/.mim/configs/hrnet/hrnet-w18_4xb32_in1k.py sha256=1y5qvHMyr5xGXgdhwEoypn5JLUv0qJoev9abObRAmIw 390
mmpretrain/.mim/configs/hrnet/hrnet-w30_4xb32_in1k.py sha256=teXP49iVUYAMjZquTYehg86cdXtm1sSiVIr-8NcxYMc 390
mmpretrain/.mim/configs/hrnet/hrnet-w32_4xb32_in1k.py sha256=2I3Qj631_DQtTILnOhIKxe5cO2h73-x_Xt73TAQuEM0 390
mmpretrain/.mim/configs/hrnet/hrnet-w40_4xb32_in1k.py sha256=eZSBHxjOl9uXtgiHdfx2uzKqWvjIZKS_Vxs76jGv9kY 390
mmpretrain/.mim/configs/hrnet/hrnet-w44_4xb32_in1k.py sha256=GaPtrOQlOpG04sg4ikiJRT8__6AWZbmQT6F-dpiYYU0 390
mmpretrain/.mim/configs/hrnet/hrnet-w48_4xb32_in1k.py sha256=707fgOvyj6TlLM-tIs4r2CtxZgWiI2kMOTddOXzEC_o 390
mmpretrain/.mim/configs/hrnet/hrnet-w64_4xb32_in1k.py sha256=FfIvENEiAguijpRXxGWgqPg-N8I34KLPdsbadCCvrmU 390
mmpretrain/.mim/configs/hrnet/metafile.yml sha256=kZCPQwdVIvDpXkU3kzWfE-fNHXhJvADpqa8FlFDLRds 6141
mmpretrain/.mim/configs/inception_v3/inception-v3_8xb32_in1k.py sha256=xBwUNVE2MEGy6astNb6e5uWTGvkl9AerQr1eieozW3U 749
mmpretrain/.mim/configs/inception_v3/metafile.yml sha256=w9PDPseVgV_DlpCo5veLy-naYyisBt6RTYX5IH8Q9sg 1281
mmpretrain/.mim/configs/itpn/itpn-clip-b_hivit-base-p16_8xb256-amp-coslr-300e_in1k.py sha256=CJzMPLMvX4mMcv2dZ70qKpNkYIQ2_kcQYkNT9NjV13Y 2233
mmpretrain/.mim/configs/itpn/itpn-clip-b_hivit-base-p16_8xb256-amp-coslr-800e_in1k.py sha256=Ope7zmSlH8rvkRXYSnEVwdWhprYXs9UqbInBM3r-Gc0 2234
mmpretrain/.mim/configs/itpn/itpn-pixel_hivit-base-p16_8xb512-amp-coslr-1600e_in1k.py sha256=ov7dvCl3yPDjzKBDNG26-5M_TfDI5klRDQ1jq3bMxYI 1438
mmpretrain/.mim/configs/itpn/itpn-pixel_hivit-base-p16_8xb512-amp-coslr-400e_in1k.py sha256=iSzCYksBlauootkLFtSt60lz0Ls6cZlwfrrns11Ji6U 1435
mmpretrain/.mim/configs/itpn/itpn-pixel_hivit-base-p16_8xb512-amp-coslr-800e_in1k.py sha256=sFOHY1xc9tGuY3Cmg0GMfNup1EC20rzoX98k8Xn1ayA 1435
mmpretrain/.mim/configs/itpn/itpn-pixel_hivit-large-p16_8xb512-amp-coslr-1600e_in1k.py sha256=5IYMxEReX1aJ28NQOCDLSKJtAsbwDxnQ0zv_E8WvEL8 1577
mmpretrain/.mim/configs/itpn/itpn-pixel_hivit-large-p16_8xb512-amp-coslr-400e_in1k.py sha256=NgP0GARtDYIiq-e0RkjUuZnkzxtwio_7jtAx8Tdtgog 1574
mmpretrain/.mim/configs/itpn/itpn-pixel_hivit-large-p16_8xb512-amp-coslr-800e_in1k.py sha256=2_pHpPiIWnLY7TS60LWE5A_cld6itCp7tDUCKKyCEKQ 1574
mmpretrain/.mim/configs/itpn/metafile.yml sha256=0DKKfOX94yi2sHv7NxrsIRrHhyurLqSUJFTsJHbznIg 1350
mmpretrain/.mim/configs/lenet/lenet5_mnist.py sha256=089Lq3UlYtR-uMd8LYEBGof6T84OV0zb7yR1FgFPF_Q 2535
mmpretrain/.mim/configs/levit/levit-128_8xb256_in1k.py sha256=2EV7GRdBwj65UEK24jahEhY_ePm--r95EuPqKJTH-4s 346
mmpretrain/.mim/configs/levit/levit-128s_8xb256_in1k.py sha256=YnIZD8HsEPjsOniuH4WRTKkSXyf8Jp-o2ufck0c8Z44 347
mmpretrain/.mim/configs/levit/levit-192_8xb256_in1k.py sha256=Ii4cFVj6WOmWwO_hmOdouwao1rXbSKA3OYaWZoF7Qt0 346
mmpretrain/.mim/configs/levit/levit-256_8xb256_in1k.py sha256=x07xsk47x3jelJ2ZNyDzfTUS4KQVRtAoicACgUhfAOk 260
mmpretrain/.mim/configs/levit/levit-384_8xb256_in1k.py sha256=7cWl4R3MWZOresQ4K4hqcdx9bKgxgxnlxHop5AiWjaY 377
mmpretrain/.mim/configs/levit/metafile.yml sha256=XWQus8-ox-Bx8eyBymZ4xx9n0UDuCaKJ1uiDDvgP-xs 3633
mmpretrain/.mim/configs/levit/deploy/levit-128_8xb256_in1k.py sha256=sELbvNXlNIJVjLaQE83ioXa0OcdgNtpFLwyTL93jXPs 105
mmpretrain/.mim/configs/levit/deploy/levit-128s_8xb256_in1k.py sha256=kkfUdZMxyx-ujoqLekIHP-mIIrfA6pTzkt_Aon0LiYY 106
mmpretrain/.mim/configs/levit/deploy/levit-192_8xb256_in1k.py sha256=EQVuRRUPqx170k3cXW8SfNgNNO4TJnpqAR6UussDLYI 105
mmpretrain/.mim/configs/levit/deploy/levit-256_8xb256_in1k.py sha256=_JXoqTWCw7DopkGp8XaG21-R6m6lSTtKiVYb-St_ojc 105
mmpretrain/.mim/configs/levit/deploy/levit-384_8xb256_in1k.py sha256=Bo5DdtWTjONXVWoKbOcTYf8_QRICNkeK-z0Xa28x3W8 105
mmpretrain/.mim/configs/llava/llava-7b-v1.5_caption.py sha256=WNG0rcAp90XB816koUnM6Cenw2DB2g_1ZXji-5g2I8A 2197
mmpretrain/.mim/configs/llava/llava-7b-v1.5_vqa.py sha256=hesIYxcGg7cyOIKA7a-WO_U3zhGxZOv5FX2JtbCs0xU 2155
mmpretrain/.mim/configs/llava/llava-7b-v1_caption.py sha256=WbBK6OIGyBPseRPg_bV3i_RiYCUgdlW5g0W_yrtVEYY 2360
mmpretrain/.mim/configs/llava/metafile.yml sha256=_92YoWU48cKsPhjt8QxRd6c20uus7rVpwDv5-mpNOkw 1464
mmpretrain/.mim/configs/mae/mae_hivit-base-p16_8xb512-amp-coslr-1600e_in1k.py sha256=yiuuyycZ2onYIYMuExHdfpIfaiPcucnwz-60UTFnJHg 1437
mmpretrain/.mim/configs/mae/mae_hivit-base-p16_8xb512-amp-coslr-400e_in1k.py sha256=nI2_LTd_AyruZbJNgzZg9mCEHytDz9zcmryAxykoGSs 1434
mmpretrain/.mim/configs/mae/mae_hivit-base-p16_8xb512-amp-coslr-800e_in1k.py sha256=KRer4r-DxQ1irfQ4ESJ7YFsGGHUDRJC-QxgrgYhC7A8 1434
mmpretrain/.mim/configs/mae/mae_hivit-large-p16_8xb512-amp-coslr-1600e_in1k.py sha256=v0AQTk7KLxm0lowXgxMpKg0U_pukxaXFFlQ-NMsFTWE 1578
mmpretrain/.mim/configs/mae/mae_hivit-large-p16_8xb512-amp-coslr-400e_in1k.py sha256=HJUTHwAbAW6q8PcFJ_w0DfydOLnGeXMHEXtpuLodZDg 1575
mmpretrain/.mim/configs/mae/mae_hivit-large-p16_8xb512-amp-coslr-800e_in1k.py sha256=6NG9ASBjVqvL3gOxFUfd1WaP7WnwS9rmD3E78sexhrk 1575
mmpretrain/.mim/configs/mae/mae_vit-base-p16_8xb512-amp-coslr-1600e_in1k.py sha256=s-VLrx_ZGh-S6kUiYeq09snFw7CMntjeGOELZgdWxNo 1450
mmpretrain/.mim/configs/mae/mae_vit-base-p16_8xb512-amp-coslr-300e_in1k.py sha256=38R7VNnftvwTTkOSlTegS7_a0BCRqCjpDeOmZ6CWceE 1447
mmpretrain/.mim/configs/mae/mae_vit-base-p16_8xb512-amp-coslr-400e_in1k.py sha256=Nl79s_xEchmnpsh-wOS0I90Kudgc-1e6zkBfxIJ4hz4 1445
mmpretrain/.mim/configs/mae/mae_vit-base-p16_8xb512-amp-coslr-800e_in1k.py sha256=f-TqpW5A01N-YgO1o8eUdDpHNRvV_uQIBrYWGz6PokA 1452
mmpretrain/.mim/configs/mae/mae_vit-huge-p14_8xb512-amp-coslr-1600e_in1k.py sha256=2LeppXtpYdoPbWcZRUdleLVRWUelIEWpdImzkbnswEg 1692
mmpretrain/.mim/configs/mae/mae_vit-large-p16_8xb512-amp-coslr-1600e_in1k.py sha256=gVf-lAHeFNAFHYsZHPa-EjbM8qaRVd790gUhAHny7a8 1584
mmpretrain/.mim/configs/mae/mae_vit-large-p16_8xb512-amp-coslr-300e_in1k.py sha256=fTKfR2TnmmD7ZmgThqwqHtbaGGe_yiM_MUJh6DFbBTE 1581
mmpretrain/.mim/configs/mae/mae_vit-large-p16_8xb512-amp-coslr-400e_in1k.py sha256=VhaqFMZB50w4hbkVAR1Y-1L9GaA6JGMwDpAAxqFJ5BE 1579
mmpretrain/.mim/configs/mae/mae_vit-large-p16_8xb512-amp-coslr-800e_in1k.py sha256=2m8KkZHiJ3syj-mUnontXaBAIHb6FkVHJmzbXbHGrko 1586
mmpretrain/.mim/configs/mae/metafile.yml sha256=O9fDhc88FbolTl2WLCBYVkh0MRN6ebnmATAe_9dQEVc 13047
mmpretrain/.mim/configs/mae/benchmarks/vit-base-p16_8xb128-coslr-100e_in1k.py sha256=_xy5j_d5AMnYNxuCWp3rZLYhz58tWvGQ3tWASirz87c 3214
mmpretrain/.mim/configs/mae/benchmarks/vit-base-p16_8xb2048-linear-coslr-90e_in1k.py sha256=881T86EIawyrOIKOHGxZCrtqaRodO8H51YfBfJABsCQ 1741
mmpretrain/.mim/configs/mae/benchmarks/vit-huge-p14_32xb8-coslr-50e_in1k-448px.py sha256=BTn6SJD4U2ZXBbwOGaE8oSzm2O78fp25ZyjhC2jjwkI 3322
mmpretrain/.mim/configs/mae/benchmarks/vit-huge-p14_8xb128-coslr-50e_in1k.py sha256=PV1Q4L7M5A8m8S4f0aDXj5BRZVGu8VA8wkZa06nZjoI 3321
mmpretrain/.mim/configs/mae/benchmarks/vit-huge-p14_8xb128-ds-coslr-50e_in1k.py sha256=EMDNQBrFoeWPEebRS1gHeGIjX2SFeuQNnLp4X4boGJU 795
mmpretrain/.mim/configs/mae/benchmarks/vit-huge-p14_8xb128-fsdp-coslr-50e_in1k.py sha256=40DkkeOT1LESRoM01CAXGbi__WxRFTFeSDwk9uVcxf4 374
mmpretrain/.mim/configs/mae/benchmarks/vit-large-p16_8xb128-coslr-50e_in1k.py sha256=GrN57TLRoephWNe_KKVeWempwKhNTNioTgxonyCsVJ4 3322
mmpretrain/.mim/configs/mae/benchmarks/vit-large-p16_8xb128-ds-coslr-50e_in1k.py sha256=brCov3S9jXiMu4XM3UsTloiz0vkTXhjpEVkQKUWYUUg 796
mmpretrain/.mim/configs/mae/benchmarks/vit-large-p16_8xb128-fsdp-coslr-50e_in1k.py sha256=wA8oheUWetRhNr0Osczv-pgSq6bNdtpwtfq9ypcOyeE 375
mmpretrain/.mim/configs/mae/benchmarks/vit-large-p16_8xb2048-linear-coslr-90e_in1k.py sha256=ruhtNF3ET1WuIw_MUhVrzbCHoP3Max0KUfFXVmLaG7U 1744
mmpretrain/.mim/configs/maskfeat/maskfeat_vit-base-p16_8xb256-amp-coslr-300e_in1k.py sha256=X_R1qIP3JKUDJ5cRPtnGJxauoqKb7GcEdmJl50is8bs 2854
mmpretrain/.mim/configs/maskfeat/metafile.yml sha256=FDUxmHgATAUeNeaxXyXF2gjJNBZVqjZujKMa5Urli8Q 1616
mmpretrain/.mim/configs/maskfeat/benchmarks/vit-base-p16_8xb256-coslr-100e_in1k.py sha256=ge4K9EToMmQrJWFrRxY4S9WZFjTTh_ICwp6W3A_Yhjg 3335
mmpretrain/.mim/configs/mff/metafile.yml sha256=JlBkHpEm_-EDPYeJ_tPKuYhRYFYQJC9Y9Nk9b_Bvc58 3944
mmpretrain/.mim/configs/mff/mff_vit-base-p16_8xb512-amp-coslr-300e_in1k.py sha256=qsyDycLGQ2dB6SdYU_iOisji9MEVE2GzA5UFyyHYQAI 689
mmpretrain/.mim/configs/mff/mff_vit-base-p16_8xb512-amp-coslr-800e_in1k.py sha256=nSr5bWV7VOiW_L3efcHc_SNFW1XMH3k1XL1m9FQ09Zw 689
mmpretrain/.mim/configs/mff/benchmarks/vit-base-p16_8xb128-coslr-100e_in1k.py sha256=_xy5j_d5AMnYNxuCWp3rZLYhz58tWvGQ3tWASirz87c 3214
mmpretrain/.mim/configs/mff/benchmarks/vit-base-p16_8xb2048-linear-coslr-90e_in1k.py sha256=-a1bxW2t_eK8YPjrFhpGcSgf-1Z3Pnopm0MPMlOBfLQ 2057
mmpretrain/.mim/configs/milan/metafile.yml sha256=UqCJiaRT-boAoYDdbXWiGV-Tz6WMPTEUnkCn-0pDRRA 2308
mmpretrain/.mim/configs/milan/milan_vit-base-p16_16xb256-amp-coslr-400e_in1k.py sha256=ywHiaOOOYO8p3OsfSBxN6Z7w7rk7EElT-MpWGD3tatE 2394
mmpretrain/.mim/configs/milan/benchmarks/vit-base-p16_8xb128-coslr-100e_in1k.py sha256=l5HATabQh5gj-O4pMC1Kw_dUldK12gW_kKnk-I3Jloc 3232
mmpretrain/.mim/configs/milan/benchmarks/vit-base-p16_8xb2048-linear-coslr-100e_in1k.py sha256=7-b6WaDFfr0A0y1N08p6NUM6_2jT5JBfyBvS3yj5rrI 1885
mmpretrain/.mim/configs/minigpt4/metafile.yml sha256=kHgEs5pFwYcsPARfF7oko5mnUvhnqygeU96f1QRoGYw 1272
mmpretrain/.mim/configs/minigpt4/minigpt-4_baichuan-7b_caption.py sha256=unHxNR6T_BKRDpxyd9mZMBd14hE9Q6Nji6KXFAO5WgM 5307
mmpretrain/.mim/configs/minigpt4/minigpt-4_vicuna-7b_caption.py sha256=TH3_Za2Z6u58cAvh7-K996wdV_l8oOxTuSeVm6IT-zE 3088
mmpretrain/.mim/configs/mixmim/metafile.yml sha256=QZ8q0Z9Dwna6V5UAh_hBQmD6Wz7YTdwMXDGIE1gl9-0 1828
mmpretrain/.mim/configs/mixmim/mixmim_mixmim-base_16xb128-coslr-300e_in1k.py sha256=_kOg2AKo0S1JkoeX6MGaVeIyNipssTlw7GHRzAkbR_I 2556
mmpretrain/.mim/configs/mixmim/benchmarks/mixmim-base_8xb128-coslr-100e_in1k.py sha256=rORCZVuze7el89ztSF56jU3xSEsSBBhNjYUarvh9bMc 3338
mmpretrain/.mim/configs/mixmim/benchmarks/mixmim-base_8xb64_in1k.py sha256=xum5tC0-c01w8Zy2tXJ8fwh8LNyWMDZLTH_rbGuaG0g 203
mmpretrain/.mim/configs/mlp_mixer/metafile.yml sha256=pQSe6e7jMR6CH2TI2AePCNFYIvVQoOoQ9nE90Que2es 2008
mmpretrain/.mim/configs/mlp_mixer/mlp-mixer-base-p16_64xb64_in1k.py sha256=AznPzx8dfxxIUQ1WW68hMDUIAUsXIusFN6XST8-aHI0 256
mmpretrain/.mim/configs/mlp_mixer/mlp-mixer-large-p16_64xb64_in1k.py sha256=SJMW5gf0SNx0L-BZOFE1UvFFkydrnRxNDuHOyt14K14 257
mmpretrain/.mim/configs/mobilenet_v2/metafile.yml sha256=yM8CU51b4YqUSqo7iCOUgiTE31D86fw8h1DIR8i9oLE 1079
mmpretrain/.mim/configs/mobilenet_v2/mobilenet-v2_8xb32_in1k.py sha256=-JzjsYelsHOvxa6-Pw_eJKlWQ6KsjpY8DYdMlpKYzHw 200
mmpretrain/.mim/configs/mobilenet_v3/metafile.yml sha256=PFafFefXrEzJhEeNJVAkL32Kvr8xFeQpovbwmlO7Y3A 4421
mmpretrain/.mim/configs/mobilenet_v3/mobilenet-v3-large_8xb128_in1k.py sha256=HGvAK6xHnWbcv-kjZI_-xNXu9-ZKM1egT61-oX3DtwM 817
mmpretrain/.mim/configs/mobilenet_v3/mobilenet-v3-small-050_8xb128_in1k.py sha256=dUbPyTk4TLqHMKitCAhHCByD-zsSWy946Ft4MPxFsi0 1986
mmpretrain/.mim/configs/mobilenet_v3/mobilenet-v3-small-075_8xb128_in1k.py sha256=NxHSjbbqTKpYN4PSMvVTlpBGuNf98ZZjnVqM35a_yls 1913
mmpretrain/.mim/configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py sha256=lplBe142DE8hTpE2XgHWSPFYG3NVwtpUG9TopBo2c8A 817
mmpretrain/.mim/configs/mobilenet_v3/mobilenet-v3-small_8xb16_cifar10.py sha256=H9ZzLP5zxAf11-fQfyD886jlXtESxyZkFrkbdDrsRNI 376
mmpretrain/.mim/configs/mobileone/metafile.yml sha256=Cuy0SyFsZO-SG25fDPxtrSkN7d-Urjb0n48RlwdV2Ws 2834
mmpretrain/.mim/configs/mobileone/mobileone-s0_8xb32_in1k.py sha256=V5fCvnS2dvyNjoBZt2ORD7HXwvk6l8pPoM1OKHa9JEU 513
mmpretrain/.mim/configs/mobileone/mobileone-s1_8xb32_in1k.py sha256=J6gX8IVays7pU6laxBgosHQj_vgAVpGd045kDcZrQOw 1891
mmpretrain/.mim/configs/mobileone/mobileone-s2_8xb32_in1k.py sha256=FsF_M0_P_LdASgxxFn2ai5rTCVZG_yVR4VZxmnptPkU 2013
mmpretrain/.mim/configs/mobileone/mobileone-s3_8xb32_in1k.py sha256=F5QILqb4y0H5HoHANlpa3u7X0VIqTRY2NUNLEYz-qFU 2013
mmpretrain/.mim/configs/mobileone/mobileone-s4_8xb32_in1k.py sha256=dx_Ylnxxo3LmnWJrg_qTT5SwnA5yUF5Yc746jvpweSI 1986
mmpretrain/.mim/configs/mobileone/deploy/mobileone-s0_deploy_8xb32_in1k.py sha256=MdOP_lniMaM3M7E_s9I24Mkdnddti9DtLdYtXS4uZzY 85
mmpretrain/.mim/configs/mobileone/deploy/mobileone-s1_deploy_8xb32_in1k.py sha256=PgTWoFERYy7TZfZFRIOIW43lJTpA0AwWuqFbOesjIxA 85
mmpretrain/.mim/configs/mobileone/deploy/mobileone-s2_deploy_8xb32_in1k.py sha256=7CLOqxDm0DzRCGbiccgfjWJ7H0-XMkiSuq4fB2v8IXI 85
mmpretrain/.mim/configs/mobileone/deploy/mobileone-s3_deploy_8xb32_in1k.py sha256=QoRVOMiSMTl9j7MM4-w5sHoV2mQ5pe8ivSQsohx5Cts 85
mmpretrain/.mim/configs/mobileone/deploy/mobileone-s4_deploy_8xb32_in1k.py sha256=hZqhctWRMb7aWZO_oW_lDQma8PuTomIumGjiaGpoTog 85
mmpretrain/.mim/configs/mobilevit/metafile.yml sha256=xNdi40og3kdJ7fLOt9isP2lQncqtgOt6LbJMf1d6R3s 2302
mmpretrain/.mim/configs/mobilevit/mobilevit-small_8xb128_in1k.py sha256=Vsfftav47eZUBnymg4YM-PjcL4hUUQ0pskPjrFhu5yE 728
mmpretrain/.mim/configs/mobilevit/mobilevit-xsmall_8xb128_in1k.py sha256=nRLstlskFllV-oH3jDoDSedAqmjwYLTJjKdtLkx4jlY 729
mmpretrain/.mim/configs/mobilevit/mobilevit-xxsmall_8xb128_in1k.py sha256=vZSk2vWU6VVmz1cSgxV45IRM-4DeT1fdcf_s5-dTmX8 730
mmpretrain/.mim/configs/mocov2/metafile.yml sha256=LOxRvgj_K9y1nHkNCp1dzgQXpdnGIWlTbRFPYVQ3Hzk 1581
mmpretrain/.mim/configs/mocov2/mocov2_resnet50_8xb32-coslr-200e_in1k.py sha256=JzE5miDJ9FS8StsGdCyROeqBwzCB0kG2a52J6Nq2M0Y 894
mmpretrain/.mim/configs/mocov2/benchmarks/resnet50_8xb32-linear-steplr-100e_in1k.py sha256=gjYtxdaywUlfP636D7oTvuhjds86a3bSBjER2bmnn2g 591
mmpretrain/.mim/configs/mocov3/metafile.yml sha256=pK9T6dgxGEybcIULQ_oTSaQ33n3RE2YIsUDIe5LzMdY 8391
mmpretrain/.mim/configs/mocov3/mocov3_resnet50_8xb512-amp-coslr-100e_in1k.py sha256=Cyrt6Wrlzhy616UZav4VRCA4We8qsfKjaSXT-YHSX7Y 2293
mmpretrain/.mim/configs/mocov3/mocov3_resnet50_8xb512-amp-coslr-300e_in1k.py sha256=wQiJx9g1hKES5JlH5cDj5y1LXmofqCv6Ij9mhAbGmYo 2294
mmpretrain/.mim/configs/mocov3/mocov3_resnet50_8xb512-amp-coslr-800e_in1k.py sha256=S6Co6DXjyaBBJGMM9iaMbMCMvw7FO76m0EWcSJLrs8E 2305
mmpretrain/.mim/configs/mocov3/mocov3_vit-base-p16_16xb256-amp-coslr-300e_in1k.py sha256=W9Cd2R4GATDMu5txagt9OBQo3A-wYHA-IZZCBOzryXw 3934
mmpretrain/.mim/configs/mocov3/mocov3_vit-large-p16_64xb64-amp-coslr-300e_in1k.py sha256=RkDHzXd6HLRDTaGpqaEo0_DgWpK4CSoe8qKEif2YAJ4 4023
mmpretrain/.mim/configs/mocov3/mocov3_vit-small-p16_16xb256-amp-coslr-300e_in1k.py sha256=-2b6L7eIHMZ9ilEULrIjzjNFkh5IvV36FSjboq6i9Ng 3942
mmpretrain/.mim/configs/mocov3/benchmarks/resnet50_8xb128-linear-coslr-90e_in1k.py sha256=GEePyxT3wOjRBceXVWyKTL3dcB14yqKkQx_sN6viqr0 861
mmpretrain/.mim/configs/mocov3/benchmarks/vit-base-p16_8xb128-linear-coslr-90e_in1k.py sha256=al9M8bZzy-Hy3c5GWF5IyZsgPjxPimGz7eDaALRTjsk 1225
mmpretrain/.mim/configs/mocov3/benchmarks/vit-base-p16_8xb64-coslr-150e_in1k.py sha256=JT5_fRTCvqbWctJn5NJqvXSO1a5k1wY4hGn7FbijAT8 1991
mmpretrain/.mim/configs/mocov3/benchmarks/vit-large-p16_8xb64-coslr-100e_in1k.py sha256=AtJU0blEVV-N7UTkIIMzxPT53VISMJzDAFvDFxMh4TA 1992
mmpretrain/.mim/configs/mocov3/benchmarks/vit-small-p16_8xb128-linear-coslr-90e_in1k.py sha256=7AsUvYZ97LVEFUOoCvlkGs-PASRh3OGMg9nYisTbeJw 1233
mmpretrain/.mim/configs/mvit/metafile.yml sha256=_sKaKR4wrTenjxvxZPoVD5iwXl_y1eqrg5UVDb0MYW0 3295
mmpretrain/.mim/configs/mvit/mvitv2-base_8xb256_in1k.py sha256=D-v4A9YVjS3dqlR8U0eTHFXJbfaKkg9CTOMp7l_4K4g 1202
mmpretrain/.mim/configs/mvit/mvitv2-large_8xb256_in1k.py sha256=jD2PWej2WQgwj3fqnq4UvKx9_k0AmJNcZWNF_nXSa6M 1198
mmpretrain/.mim/configs/mvit/mvitv2-small_8xb256_in1k.py sha256=qnAn7UKSfpdoVFAnsa2Wrww9IcJwWVKUbdqhHG1wwLc 1198
mmpretrain/.mim/configs/mvit/mvitv2-tiny_8xb256_in1k.py sha256=Aukel3laEv9F8Ha_Zh-c74GmxRIhTTPYs--doQmkYBg 1197
mmpretrain/.mim/configs/ofa/metafile.yml sha256=WTNOmtTEjZhIEJQT_hx6NkXWa60iTuINAWYOn6r3q7M 2932
mmpretrain/.mim/configs/ofa/ofa-base_finetuned_caption.py sha256=t6qpOHUSS2peH5-IAd0dhieGs3SyBNF5JkKwKGXUHl4 942
mmpretrain/.mim/configs/ofa/ofa-base_finetuned_refcoco.py sha256=185D9KDMS0QUo1GoZ30ENUMhy_BCDiGQL0lCisF5pK4 1020
mmpretrain/.mim/configs/ofa/ofa-base_finetuned_vqa.py sha256=lsStYkOKu8n6065rTIXoZN6doPOxJkgi38Kq0M7jZYI 1532
mmpretrain/.mim/configs/ofa/ofa-base_zeroshot_vqa.py sha256=yK5rbkik4-PURoCxQ_f-Wr1thcJbZyqIt4ghAn8UKNY 881
mmpretrain/.mim/configs/ofa/ofa-large_zeroshot_vqa.py sha256=DBXCT--Oyvn3uHOO9vh0shu1PhroZZwtQJJAx3FzITg 924
mmpretrain/.mim/configs/otter/metafile.yml sha256=0gLR5ofOqf4aRFbYgekK5zv-howBSSGuEkRq2elkq_g 1355
mmpretrain/.mim/configs/otter/otter-9b_caption.py sha256=fxsK2IVYpkYInqoOJCmkOP_TbZ0VCh_4rmUwn-lGcNI 2399
mmpretrain/.mim/configs/otter/otter-9b_vqa.py sha256=e8pRg0aNEz7-o9KoyaH17kvmQxjTR2vSgfOfAhNQljg 2975
mmpretrain/.mim/configs/poolformer/metafile.yml sha256=RnB8IDqV8fwUS-uoFJMfZeDqNeUE38lAB-luuH3HF3E 3859
mmpretrain/.mim/configs/poolformer/poolformer-m36_32xb128_in1k.py sha256=025OEjwpaeZCyPaEZScXad0j0S0bvs_Yyvk0g4C8MfA 530
mmpretrain/.mim/configs/poolformer/poolformer-m48_32xb128_in1k.py sha256=lDJR_ccfq0Wf3eA_A1YSmj5OAD0ducWKcCLzwBkkZnc 530
mmpretrain/.mim/configs/poolformer/poolformer-s12_32xb128_in1k.py sha256=Dl4MFEvyEY8xqey8N30rH_hNGJNXvxWlizYCzmjozq8 529
mmpretrain/.mim/configs/poolformer/poolformer-s24_32xb128_in1k.py sha256=upVU6-Y89ux88J06dnvCZydlDtK-oboqQ2qvVx4E3Vo 529
mmpretrain/.mim/configs/poolformer/poolformer-s36_32xb128_in1k.py sha256=vsbrjk1mY-TW25ROY26dMT9TpLevsLcFVG4PMafbETw 529
mmpretrain/.mim/configs/regnet/metafile.yml sha256=e6ijFxV-4ugTnLescnIXw6AqvFIxfvYHK7qtOOD96iQ 4244
mmpretrain/.mim/configs/regnet/regnetx-1.6gf_8xb128_in1k.py sha256=cmxzvL8YmIjImGiFz8GNEzVNzXW3zIaBUWK1F9zRFXg 166
mmpretrain/.mim/configs/regnet/regnetx-12gf_8xb64_in1k.py sha256=0dV6rr95AKlVfwuDlASHcUKYEL6Wv-AMS_qvf-nMsYA 520
mmpretrain/.mim/configs/regnet/regnetx-3.2gf_8xb64_in1k.py sha256=KZnfht9fc-M6WruQpSODjIG7nAWsdtnHGHuPAQkUV94 521
mmpretrain/.mim/configs/regnet/regnetx-4.0gf_8xb64_in1k.py sha256=ln46thxVs4_aKH-8eo8CJ1JV7t3xeIrrMyyOZMwj358 521
mmpretrain/.mim/configs/regnet/regnetx-400mf_8xb128_in1k.py sha256=6zn5IPYrmjfaOeOl5dyD8lNjHD8pcu5skqYn1wvJ44M 1671
mmpretrain/.mim/configs/regnet/regnetx-6.4gf_8xb64_in1k.py sha256=XEH6g9098VOTbi06Y8o6auzIsToty8PTMj6r4s8FK6Y 521
mmpretrain/.mim/configs/regnet/regnetx-8.0gf_8xb64_in1k.py sha256=7Fun0HvRuMs48jX8bukJltoxLwcXG1VAYDopE7plagM 521
mmpretrain/.mim/configs/regnet/regnetx-800mf_8xb128_in1k.py sha256=wnwTAWLMmeimF5t1hQwiBUDko_FNrImpNu7dMmFfmZY 166
mmpretrain/.mim/configs/replknet/metafile.yml sha256=Xwm4B5Pyzuaxbv3TUeeR_p9tOM1Wa3hSQL_X1TW3Ue4 4867
mmpretrain/.mim/configs/replknet/replknet-31B_32xb64_in1k-384px.py sha256=ZV3jh5a_f4fUzr6iH53Hi5KQdudhpkH7dTfquS27InQ 371
mmpretrain/.mim/configs/replknet/replknet-31B_32xb64_in1k.py sha256=di4K0A6VTpdbKUqshJplFovUJE5sxzGjtlWujvmG04M 367
mmpretrain/.mim/configs/replknet/replknet-31L_32xb64_in1k-384px.py sha256=-nAd36wbhPuPYkLpdcHtsVL1fXRwRQrfx-Ou7SZQuT0 371
mmpretrain/.mim/configs/replknet/replknet-XL_32xb64_in1k-320px.py sha256=OPzknREvxODDpVI2DMEY8kkfY--wyFQfjircxG2xfd8 369
mmpretrain/.mim/configs/replknet/deploy/replknet-31B-deploy_32xb64_in1k-384px.py sha256=d7s3-zAHyeLEIAZtlDZBh7BShdjXYZDUCHtXoCpgLYA 103
mmpretrain/.mim/configs/replknet/deploy/replknet-31B-deploy_32xb64_in1k.py sha256=cR--l6MvxQM0OvM02RTKW4W090lRwC-sBepK8Z6Y38g 97
mmpretrain/.mim/configs/replknet/deploy/replknet-31L-deploy_32xb64_in1k-384px.py sha256=BZlIkiEGaVIWZZ_HHUlippnxAbJaEv7i1QRDX8xjaDM 103
mmpretrain/.mim/configs/replknet/deploy/replknet-XL-deploy_32xb64_in1k-320px.py sha256=wYDVxK0VeSFAKFPAz7QZ0QusVnVIjHwKizotcjV75tg 102
mmpretrain/.mim/configs/repmlp/metafile.yml sha256=InI67ivNP2IAnkhWcO63eEcjvgsc2_FwSwuVwLqhgC0 1871
mmpretrain/.mim/configs/repmlp/repmlp-base_8xb64_in1k-256px.py sha256=GyGjvrtJZzfPXQHatGlrrjcluXBejxZLc2G3Lk0DduY 1126
mmpretrain/.mim/configs/repmlp/repmlp-base_8xb64_in1k.py sha256=FGwHIrZKxkaN920HvcHabIx88r7vU15IoCBohCUB-oE 879
mmpretrain/.mim/configs/repmlp/repmlp-base_delopy_8xb64_in1k.py sha256=3iQUNs2VjeU8UNeR1oW--ebYGO3-L2qqJhVVNKQhj0Q 83
mmpretrain/.mim/configs/repmlp/repmlp-base_deploy_8xb64_in1k-256px.py sha256=_6noIwk_CqopY3nbLFhP4eORLKLMS9agBen3GagrUEU 89
mmpretrain/.mim/configs/repvgg/metafile.yml sha256=KzDeuj5ghxtHCcVpQ3kvOl3CNTBgFxDqpbd_Wf1VRNA 5987
mmpretrain/.mim/configs/repvgg/repvgg-A0_8xb32_in1k.py sha256=585Pcnwg9m_5orPVJU_lkUrvYvHV_BCXU3TAQkrk2SY 876
mmpretrain/.mim/configs/repvgg/repvgg-A0_deploy_in1k.py sha256=A0-xiBy_WsRqw3w4rsJVfSwnoffpT7vHGe2LUmtjenY 79
mmpretrain/.mim/configs/repvgg/repvgg-A1_8xb32_in1k.py sha256=oFuVoh5v0RsFLb1YiDZn1pCmQ1jiqyEaUkVIVby0Cg8 77
mmpretrain/.mim/configs/repvgg/repvgg-A2_8xb32_in1k.py sha256=u2X90pPpHMQpemT9j9SZFbgSog5gg0O__0bbkoQKZp8 106
mmpretrain/.mim/configs/repvgg/repvgg-B0_8xb32_in1k.py sha256=IVZUnLhcc5oBxrwciUMqvsq0hP-kvp_vTcc2spztzaI 106
mmpretrain/.mim/configs/repvgg/repvgg-B1_8xb32_in1k.py sha256=IBeoKh1-ANnHvU9J9MTdqWzT5t0KxjvWA3hSBvF8uXs 106
mmpretrain/.mim/configs/repvgg/repvgg-B1g2_8xb32_in1k.py sha256=RObWZbIWEkg42wsyZfjsOsj3iB91WjdV1Ua9mTEVvhg 108
mmpretrain/.mim/configs/repvgg/repvgg-B1g4_8xb32_in1k.py sha256=ob1xNgnKCJisKCTwYM9E8-VkudIjyTyQU9Ia8Q7vmUg 108
mmpretrain/.mim/configs/repvgg/repvgg-B2_8xb32_in1k.py sha256=ygeiGr6_WoYRdjDKGIRv7jizziTutrkadsTFvZjGmy8 106
mmpretrain/.mim/configs/repvgg/repvgg-B2g4_8xb32_in1k.py sha256=Dn9RCVmd08FVkG0mPykDNwqJ00IgUQ4tZSR9oyXzjeA 108
mmpretrain/.mim/configs/repvgg/repvgg-B3_8xb32_in1k.py sha256=IN5b0xLJEBH3ZvcR1b_w3HJ-VzjdtPc_VxvAZ0BBwUc 1925
mmpretrain/.mim/configs/repvgg/repvgg-B3g4_8xb32_in1k.py sha256=z97eTXteWo4oYUru65BZNwgQo4N5agG0gvK3ClAxr6g 79
mmpretrain/.mim/configs/repvgg/repvgg-D2se_8xb32_in1k.py sha256=GIkcR1yq8d5iPfQCNQ4c2GRiGUB92ncTxa5rYZEjuVI 675
mmpretrain/.mim/configs/res2net/metafile.yml sha256=ulFE3X-AIizSTS6j6c21XZ50Tt5i36hvf4AkjkdNKUQ 2614
mmpretrain/.mim/configs/res2net/res2net101-w26-s4_8xb32_in1k.py sha256=2k_gOkuJd7ew5adi7XjHBmgBafJRrcs_7xqmx4ZFiTc 188
mmpretrain/.mim/configs/res2net/res2net50-w14-s8_8xb32_in1k.py sha256=wzJ5sCfV5jhfvOzGZ6GGg9v27OjRDIVuBCnBo8fyvuU 187
mmpretrain/.mim/configs/res2net/res2net50-w26-s8_8xb32_in1k.py sha256=uy9wHeVv8r2Ul4pGjwCReTrvBgET69PscSeAWKsmimo 187
mmpretrain/.mim/configs/resnest/_randaug_policies.py sha256=im4RovtUoUtph1zzp_8dDK2Y8V0RXjMDjpzdpdu_U_E 2343
mmpretrain/.mim/configs/resnest/resnest101_32xb64_in1k.py sha256=nNWHwJlgAJeoEUQbYOhxnfRf8YeHRbqr8KR972WQ9kU 2084
mmpretrain/.mim/configs/resnest/resnest200_64xb32_in1k.py sha256=PKdYU1vS7Nv-ddtTSpXGeiZbFEVTUT_izpGBI9mwwsU 1899
mmpretrain/.mim/configs/resnest/resnest269_64xb32_in1k.py sha256=Ixtcj7DUG3Pc4X2tkhjnFkY1Lm6dY9KfWE4878sQ0SQ 2084
mmpretrain/.mim/configs/resnest/resnest50_32xb64_in1k.py sha256=OwNsUh_yaa06Yb0pPGd_W40k7a4ubK2NCC_zGCJCmvg 2083
mmpretrain/.mim/configs/resnet/metafile.yml sha256=fjyUj1wE6wDXq1MNeDK3rbTAxvMUVGKFJWuX1MzDQw8 11688
mmpretrain/.mim/configs/resnet/resnet101_8xb16_cifar10.py sha256=exD_tl24Kdsp0lKc3UvuQuSxh_C5phl6KCDVqAZumww 173
mmpretrain/.mim/configs/resnet/resnet101_8xb32_in1k.py sha256=bJov6500SaUeb43D01yyYBajY30i6k6ig6tgjC6lvnM 165
mmpretrain/.mim/configs/resnet/resnet152_8xb16_cifar10.py sha256=Jy2eaZFki7gqFPeFGKY117qP5Fe3xOtSi7xiKmuF9wI 173
mmpretrain/.mim/configs/resnet/resnet152_8xb32_in1k.py sha256=Se9dTVeRNlv9rxxyf7rsXbOnMI14MKyXmtB-nS3a4g4 165
mmpretrain/.mim/configs/resnet/resnet18_8xb16_cifar10.py sha256=cpLc-jKlNdFKnx2Hx8ru7E6te4zkuLS8ky7hL1mMUvw 168
mmpretrain/.mim/configs/resnet/resnet18_8xb32_in1k.py sha256=Fv5nFK6oS1_LIVtbBRYwtYkHBtFjz9GxGHeYfdiCYhY 164
mmpretrain/.mim/configs/resnet/resnet34_8xb16_cifar10.py sha256=PeXNMqCxIsYbEUL_UIMZrGS6S7RXutpJhIQmeV8VKEg 168
mmpretrain/.mim/configs/resnet/resnet34_8xb32_in1k.py sha256=dia97u-xDIqkkQMyFC2EWK9vZr0T99cCumC9IamwmDI 164
mmpretrain/.mim/configs/resnet/resnet50_32xb64-warmup-coslr_in1k.py sha256=MCwlNlVDlQx2VsbtxzM9cRSDX9cQoGE4UVKgmUgmA4Q 175
mmpretrain/.mim/configs/resnet/resnet50_32xb64-warmup-lbs_in1k.py sha256=eNClp5FYGlLRjwThgATyq6pbuRv1mhnZnYGFV2PhkHc 313
mmpretrain/.mim/configs/resnet/resnet50_32xb64-warmup_in1k.py sha256=JcAc1lA7PY09ko70zeFZgVpHvdf-QnIXwCTqbRv2CDY 165
mmpretrain/.mim/configs/resnet/resnet50_8xb128_coslr-90e_in21k.py sha256=unf_hB6JB268IDaTcGlwYZUvMYH9VWP0CdYBqu7_wDM 307
mmpretrain/.mim/configs/resnet/resnet50_8xb16-mixup_cifar10.py sha256=Auc6DNKw8gVU0-RDwS4O8m7bhmNsYYzisT-90lemnQo 178
mmpretrain/.mim/configs/resnet/resnet50_8xb16_cifar10.py sha256=OGsxmoKOYe2aF-_Lp5iaFVdrbklusmfZLvbBEqC7n_M 168
mmpretrain/.mim/configs/resnet/resnet50_8xb16_cifar100.py sha256=Zqz9zslphGy9M2sZ-PMnSxLxpM96rul2rmgzHBdcboA 432
mmpretrain/.mim/configs/resnet/resnet50_8xb256-rsb-a1-600e_in1k.py sha256=WJmdLrI0pLH28HIsNBqpfh9HogUVMjX-win_pkuejJc 1339
mmpretrain/.mim/configs/resnet/resnet50_8xb256-rsb-a2-300e_in1k.py sha256=ktaAFWz08ujQbq9lfM0Re479Hb8Bhe11sk4aHI3m0iE 1164
mmpretrain/.mim/configs/resnet/resnet50_8xb256-rsb-a3-100e_in1k.py sha256=6iqPa3lKfEfDnuVnx4PSVu72lbYfvVctuF2sGNnb7Yo 587
mmpretrain/.mim/configs/resnet/resnet50_8xb32-coslr-preciseBN_in1k.py sha256=DDb2KKSpkSwTHf12FfJPS48mv3WrTuSGlscHViOinAk 401
mmpretrain/.mim/configs/resnet/resnet50_8xb32-coslr_in1k.py sha256=F2Cn7tJ371MZBaHSKK5UvvgvD1ZikbtOehimXJUVreQ 174
mmpretrain/.mim/configs/resnet/resnet50_8xb32-cutmix_in1k.py sha256=4pmm3r7kluIuk_WhS0ezZk8PNOByEJtBunGJT506anc 175
mmpretrain/.mim/configs/resnet/resnet50_8xb32-fp16-dynamic_in1k.py sha256=_TxlGY_yoHAZFYZz68gDsANQbm3P0xPWVKPY6-XKxx4 126
mmpretrain/.mim/configs/resnet/resnet50_8xb32-fp16_in1k.py sha256=BSbEC-APmCIRn0sVwkGmQEz9cm_C9IDKicDVZ92FRGA 121
mmpretrain/.mim/configs/resnet/resnet50_8xb32-lbs_in1k.py sha256=r7ugi8A4IArJ8xYiUVTvuN1fjdVNiRqlzSV88bojB0E 181
mmpretrain/.mim/configs/resnet/resnet50_8xb32-mixup_in1k.py sha256=0IGSnVZ__JkqzZO425C8JspWxJZJGjKzLFcit_EkszM 174
mmpretrain/.mim/configs/resnet/resnet50_8xb32_in1k.py sha256=yMtPjqi0uZ9pQ_liGUZc8USLSvjxpUKqOYkfHW5Quwg 164
mmpretrain/.mim/configs/resnet/resnet50_8xb8_cub.py sha256=cBbVk1BLlckK7gld6B38_9ELr2SqyNDdkmrRM71voeA 684
mmpretrain/.mim/configs/resnet/resnetv1c101_8xb32_in1k.py sha256=fbkq47reFx9TQMTCtuGF2J8dIo5yd3jQZFKxG8Wa_LE 222
mmpretrain/.mim/configs/resnet/resnetv1c152_8xb32_in1k.py sha256=-hXQl18YQuF9PH3jQAO9TEI6yLPGnh1YLwBqRmvYKjQ 222
mmpretrain/.mim/configs/resnet/resnetv1c50_8xb32_in1k.py sha256=ZH8vdmOd9-83sgYtNgGcuavD5_ysoeexLByUONgDgP0 182
mmpretrain/.mim/configs/resnet/resnetv1d101_8xb32_in1k.py sha256=09N7SGm2t-i-iYmPeQo79K6MUUWH0Qp1J22SPGUAQCk 183
mmpretrain/.mim/configs/resnet/resnetv1d152_8xb32_in1k.py sha256=PtvTc037LfQF3vbPtlMf51dBWRETsqoZKdHPW4RBumM 183
mmpretrain/.mim/configs/resnet/resnetv1d50_8xb32_in1k.py sha256=zDI5kdnZVjkotOJT0VMZqaNS1pE-Zfhg0gF_2i-PSec 182
mmpretrain/.mim/configs/resnext/metafile.yml sha256=TZyyb119d5cd_tvPUaQsCfPvaxJtv3cq2Dx2Zv92oI0 2559
mmpretrain/.mim/configs/resnext/resnext101-32x4d_8xb32_in1k.py sha256=CMV4IiGciAXmzr1oGbdSTp8QNCrirsukKtGE9vMQbro 187
mmpretrain/.mim/configs/resnext/resnext101-32x8d_8xb32_in1k.py sha256=yDqsStuo9sIWteG2_rGPrEMckwMuGY8q70PDKloV3Lg 187
mmpretrain/.mim/configs/resnext/resnext152-32x4d_8xb32_in1k.py sha256=_6ivmyJvmBe2iso-Abq9jbC4KugRimdP0Gjt2T0EQ_Y 187
mmpretrain/.mim/configs/resnext/resnext50-32x4d_8xb32_in1k.py sha256=en0ylc7YLStsoJqTotZu3Je6NzBfix4vQqu8UcehT08 186
mmpretrain/.mim/configs/revvit/metafile.yml sha256=htzFWlplxDJnGTKJmiXus0qkPeh5LLEznVNtrEkVT8k 1733
mmpretrain/.mim/configs/revvit/revvit-base_8xb256_in1k.py sha256=LbCOTeav3C6-KuM780eLsHTB3jUuhmLQi_EbGJOMhIs 208
mmpretrain/.mim/configs/revvit/revvit-small_8xb256_in1k.py sha256=EPPfULEaw7ZZGlaar7OwxjXH-1BKgMuX3P66vkuKX2Q 209
mmpretrain/.mim/configs/riformer/metafile.yml sha256=Qx8nVe2iK0jfdeU-b9csE1iLgHdgTeL6Wck0KeZwSZc 5225
mmpretrain/.mim/configs/riformer/riformer-m36_8xb128_in1k.py sha256=iEmXI9sC3Rs-ruu43KXSewMr96jmJb-IJNy_alEn6OE 1090
mmpretrain/.mim/configs/riformer/riformer-m36_8xb64_in1k-384px.py sha256=2xOU5Y0jsAA4l6-dUSY0SK-QYCWbRhb-8bspfGaxbiQ 1088
mmpretrain/.mim/configs/riformer/riformer-m48_8xb64_in1k-384px.py sha256=Nr4BE3wdRdtoCqsg8IMkU_pbd7ry0DDWdClIDxTWvC8 1088
mmpretrain/.mim/configs/riformer/riformer-m48_8xb64_in1k.py sha256=da38s648cCbOASmGOQe-DDEYIwNknueXHuj5dCLjgh4 1090
mmpretrain/.mim/configs/riformer/riformer-s12_8xb128_in1k-384px.py sha256=lbX2mFUsbschmNQmhgooiGorrC6sLwxNLH0jfgwyFJo 1087
mmpretrain/.mim/configs/riformer/riformer-s12_8xb128_in1k.py sha256=DmcTBgsg_oj-gotMRLsm7P1BhwKxEXwhz9pyRRvLZfg 1089
mmpretrain/.mim/configs/riformer/riformer-s24_8xb128_in1k-384px.py sha256=suW_Zyh_hV0NHruadk4nfsWYLIaDy1Ohgrus5DmfHUo 1087
mmpretrain/.mim/configs/riformer/riformer-s24_8xb128_in1k.py sha256=8eMesr57t9yc6h9-M68bWhs0PiNEmVTF-EMW8v7IaFo 1089
mmpretrain/.mim/configs/riformer/riformer-s36_8xb128_in1k.py sha256=X2pEba9WX03QlsGUlrNIl2A_lGpOxRsNBgFWXgFB4lE 1089
mmpretrain/.mim/configs/riformer/riformer-s36_8xb64_in1k-384px.py sha256=8ysUnLUZ4xnf9f3Jvaao26ckvtLzw4zU9teA1pZgI_o 1087
mmpretrain/.mim/configs/riformer/deploy/riformer-m36-deploy_8xb128_in1k.py sha256=MnqkZ2aZ4eM5IrKyKjTV3K-UhxwtAepPpK1N5vGuaUs 84
mmpretrain/.mim/configs/riformer/deploy/riformer-m36-deploy_8xb64_in1k-384px.py sha256=djsplryQmtuD313i6A3Oq4YTy9XEOcR5u9dVDTX-zwY 89
mmpretrain/.mim/configs/riformer/deploy/riformer-m48-deploy_8xb64_in1k-384px.py sha256=zBLZZqQOqbZZaTs4hfIEQWRB2TlEoDWCU95BAku0m4Y 89
mmpretrain/.mim/configs/riformer/deploy/riformer-m48-deploy_8xb64_in1k.py sha256=TB5ky-IJz5zDeEN992PTIWmQhtWIBPGL5XXmS__p1-U 83
mmpretrain/.mim/configs/riformer/deploy/riformer-s12-deploy_8xb128_in1k-384px.py sha256=7K3ujJH-Amtcz47-BQ7CFMxOyT0CFupEAAhST3jCvcM 90
mmpretrain/.mim/configs/riformer/deploy/riformer-s12-deploy_8xb128_in1k.py sha256=uj3p3seHiF0zLMZaU4xi1qDNwAVgxGEVJWoAKnGnr7c 84
mmpretrain/.mim/configs/riformer/deploy/riformer-s24-deploy_8xb128_in1k-384px.py sha256=6Tv3tr0eAR3dIGIxwE95Ph-zbDR-QyYYk8xnaJYYyqw 90
mmpretrain/.mim/configs/riformer/deploy/riformer-s24-deploy_8xb128_in1k.py sha256=rWbP1iS6Ym_o2AQ6wQM16p6R-ZpPqLA92rGZNPbNv-I 84
mmpretrain/.mim/configs/riformer/deploy/riformer-s36-deploy_8xb128_in1k.py sha256=I6bztLhnVJ76-H5OVpfkZIOUJjpEbE1CYpiL-OD925g 84
mmpretrain/.mim/configs/riformer/deploy/riformer-s36-deploy_8xb64_in1k-384px.py sha256=WKQ84qmv8febEEsWuJFaIQptdpIq18WaPCvyfFZEm7M 89
mmpretrain/.mim/configs/sam/metafile.yml sha256=Xjt4VsTdnTfCM_hL0QfEfgSux2Ep0qUFhsAdTKvTa3k 2097
mmpretrain/.mim/configs/sam/vit-base-p16_sam_headless.py sha256=2uUoaz1aqDcV2YALTLhMQHYLz40I6Q7vz6Ifg7aSR7Y 502
mmpretrain/.mim/configs/sam/vit-huge-p16_sam_headless.py sha256=SdDvXAo82q8HUpSgZf9TiPVPmpKnEc-4ZzYp1vsrTUk 502
mmpretrain/.mim/configs/sam/vit-large-p16_sam_headless.py sha256=yj3Z5Crsm7oQAnhTl7rU3WzE1Cml54Ls0dfE5rmqI1o 503
mmpretrain/.mim/configs/seresnet/metafile.yml sha256=IJGDL0_pFKjtCnSjjQD35vtOipLgUwcZ61d8c29zxjg 1565
mmpretrain/.mim/configs/seresnet/seresnet101_8xb32_in1k.py sha256=aLpX3EUylaaxmYII2XNYNzORhHdfnt6mh5fXgV3fYQg 182
mmpretrain/.mim/configs/seresnet/seresnet50_8xb32_in1k.py sha256=wadUJDl1dEn9ikgotHeJzmRkbgKQneLPjh7M-Udj7JI 190
mmpretrain/.mim/configs/seresnet/seresnext101-32x4d_8xb32_in1k.py sha256=LQYgNV4PjzI7GonXsaOhcsJc4IrjWce8JtZjzBlULI8 189
mmpretrain/.mim/configs/seresnet/seresnext50-32x4d_8xb32_in1k.py sha256=EcFibRRUWFFpc3Kq5Q9cKr_G0_7D0LtBRqk0iSgCVjU 188
mmpretrain/.mim/configs/shufflenet_v1/metafile.yml sha256=54cAp5_l7JruQjx-7fVBnAgWNBPPkMSYkHeJOFs5yZs 1220
mmpretrain/.mim/configs/shufflenet_v1/shufflenet-v1-1x_16xb64_in1k.py sha256=JX7q7p1YxWGbTxWITFSoJ6N0nFqMa0zvNvurLtXGrx0 209
mmpretrain/.mim/configs/shufflenet_v2/metafile.yml sha256=BDTz_uvsneC1HXVE_kF8HcJRWxjctmwuMV8LPPEIETU 1221
mmpretrain/.mim/configs/shufflenet_v2/shufflenet-v2-1x_16xb64_in1k.py sha256=D1LMZqhD82CBxYmxqzaZgOaCOL72vOvf56WSLI_0T_E 209
mmpretrain/.mim/configs/simclr/metafile.yml sha256=sQJiqrFSerUgho_boTSBCCS7RKeKrBr0SImjKcQ7gmM 2796
mmpretrain/.mim/configs/simclr/simclr_resnet50_16xb256-coslr-200e_in1k.py sha256=LsWAcHMBjSsuPOJ9QFbP4ie3sjju1AhGA7DmZkhdeB4 1308
mmpretrain/.mim/configs/simclr/simclr_resnet50_16xb256-coslr-800e_in1k.py sha256=gpPx1iir3FXendJdND900fPAgwph7fpfrYdT8jpWUOg 1574
mmpretrain/.mim/configs/simclr/simclr_resnet50_8xb32-coslr-200e_in1k.py sha256=LXRyVR1wDZv33K6dPgEqDHccbPkhzngArm9OMeSL_OU 1390
mmpretrain/.mim/configs/simclr/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py sha256=JokwbqJ9OaOrc0l70vgg30kBakjTJeQr6mEyHBUvsUY 518
mmpretrain/.mim/configs/simmim/metafile.yml sha256=E8M--plBuz9rrUkiRBSrqlN4ujlRgu9zlMM6BUcFqj4 4633
mmpretrain/.mim/configs/simmim/simmim_swin-base-w6_16xb128-amp-coslr-100e_in1k-192px.py sha256=cec8Ln5xzOHhsVcPS1aGhl-p_XbIuZdBSIdAHLzetBY 132
mmpretrain/.mim/configs/simmim/simmim_swin-base-w6_16xb128-amp-coslr-800e_in1k-192px.py sha256=JD63jLVtcGCCvQ2PZ5obVfq8t37I_vYImXUci8whQuI 1768
mmpretrain/.mim/configs/simmim/simmim_swin-base-w6_8xb256-amp-coslr-100e_in1k-192px.py sha256=12lBGC69Le0MUtrHVyf2AGmjDY3XqyP520MEc0Iu9z4 1801
mmpretrain/.mim/configs/simmim/simmim_swin-large-w12_16xb128-amp-coslr-800e_in1k-192px.py sha256=9w8QEcUwh6sTrnfENbWA-MevkfIyb_7VAESAHCAASZA 1798
mmpretrain/.mim/configs/simmim/benchmarks/swin-base-w6_8xb256-coslr-100e_in1k-192px.py sha256=9VP-8PhNN4_cDNPlD0p_ptajKUTPeVNA46gEfhm7uIo 1656
mmpretrain/.mim/configs/simmim/benchmarks/swin-base-w7_8xb256-coslr-100e_in1k.py sha256=YTMyOybL3DK2ylexPS9J70zbpkzOucO-NOYXCc8SoQQ 2866
mmpretrain/.mim/configs/simmim/benchmarks/swin-large-w14_8xb256-coslr-100e_in1k.py sha256=nKzvJRQklgPvkWEKqRMjnpkprgcTZaP_d6yYCHKHaVY 2936
mmpretrain/.mim/configs/simsiam/metafile.yml sha256=HeehyK5pE_4-Y7cTcKlpWrO8wyNcqCwy4lKKy1-5n4I 2766
mmpretrain/.mim/configs/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py sha256=knOPHyvBmU60EDKFK867PXvgr4UHw0bK4GSkrddRkyc 1591
mmpretrain/.mim/configs/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py sha256=Mrrb4g0P90_XbLm5bGGZkiI8w9V5LM2q71zX8SJ2bwY 1402
mmpretrain/.mim/configs/simsiam/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py sha256=JokwbqJ9OaOrc0l70vgg30kBakjTJeQr6mEyHBUvsUY 518
mmpretrain/.mim/configs/spark/metafile.yml sha256=r73BM_FbqkAp7_gKRvlcwVmXBzsYbnq7SP5KDjHRGmc 2748
mmpretrain/.mim/configs/spark/spark_sparse-convnext-small_16xb256-amp-coslr-800e_in1k.py sha256=nT6s-u-DGpyGn6cOHoi65UKWpkcCzoDUF59jRaxO51A 2098
mmpretrain/.mim/configs/spark/spark_sparse-convnextv2-tiny_16xb256-amp-coslr-800e_in1k.py sha256=R9Fa0-lCA8QnYcGHGgGJ7IDkX4QkH1l2CdOwCyPqxKI 2178
mmpretrain/.mim/configs/spark/spark_sparse-resnet50_8xb512-amp-coslr-1600e_in1k.py sha256=y9F6QsqTKeYUvNcAzRKz2V9sbYlY_jEPIWKOXYxp9aU 669
mmpretrain/.mim/configs/spark/spark_sparse-resnet50_8xb512-amp-coslr-800e_in1k.py sha256=nSc_V8PvzWKcPxZhrGGtPRjXc3iESnQgdMEjwfUIUuk 2062
mmpretrain/.mim/configs/spark/benchmarks/convnextv2-tiny_8xb256-coslr-300e_in1k.py sha256=19ihJnWO6NG0oqW07C414SkEF-Tx5pS2o08_z5xfivk 3191
mmpretrain/.mim/configs/spark/benchmarks/resnet50_8xb256-coslr-300e_in1k.py sha256=fbJiMdBeCYw2oV7XxypFTNyYVXY8HD_u4IDYG2oprOQ 2913
mmpretrain/.mim/configs/swav/metafile.yml sha256=F1pRdqNODG6oxsiS1XKTLXBYg0nMbDdZWJay9HU6ulw 1617
mmpretrain/.mim/configs/swav/swav_resnet50_8xb32-mcrop-coslr-200e_in1k-224px-96px.py sha256=EKeI_OR-vuDWO7PV_ZD7ijTmIiVYwK3U7NTUV6QCkn4 4124
mmpretrain/.mim/configs/swav/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py sha256=JokwbqJ9OaOrc0l70vgg30kBakjTJeQr6mEyHBUvsUY 518
mmpretrain/.mim/configs/swin_transformer/metafile.yml sha256=A6B2cx1pfHdWQuu02ZIJ3iptm5WhyjxkPlW_a2BwHBs 8957
mmpretrain/.mim/configs/swin_transformer/swin-base_16xb64_in1k-384px.py sha256=DxMLqEAsCKS8beWzZ3pAlWfGzrxHXCeEalQv3j017M0 282
mmpretrain/.mim/configs/swin_transformer/swin-base_16xb64_in1k.py sha256=xrs2-y4w4sf4GwwJ31stq6SDV9QhDW9h-Z8D4-xMQrM 282
mmpretrain/.mim/configs/swin_transformer/swin-large_16xb64_in1k-384px.py sha256=CfrkCNH1PQX6RwnQYJZhdVhDU1ckQGP_Na6jNMQdjbI 283
mmpretrain/.mim/configs/swin_transformer/swin-large_16xb64_in1k.py sha256=Fm9DJtcDOV1iCc6WM1ARYmhiWHzpmoA0u4lL-1cUpLU 283
mmpretrain/.mim/configs/swin_transformer/swin-large_8xb8_cub-384px.py sha256=lTo1NzGVNYDXcl9sGmW7Fii3-jXIVtovF2jB6wVigSI 1214
mmpretrain/.mim/configs/swin_transformer/swin-small_16xb64_in1k.py sha256=TvURbYxR_EWni6gJc8Qhfp-UmaUKLBQIL9MTL5gf_IQ 283
mmpretrain/.mim/configs/swin_transformer/swin-tiny_16xb64_in1k.py sha256=E5Eu4Ijjdvpf0GI1qXlc5xRiQGI_kWupMWCNAPM12hc 282
mmpretrain/.mim/configs/swin_transformer_v2/metafile.yml sha256=UazqLvLjOQTFOP08lIcxrIgvq-Z6opRViUAERAhciwc 9205
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-base-w12_8xb128_in21k-192px.py sha256=o9718GjiPKxXRKd10KtHQp-P8tUlPldnSsfrTzhjCS4 584
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-base-w16_16xb64_in1k-256px.py sha256=bXfzqLDJe2fHDr51ZROnOhA7JiXOU1VbkjuNQT1wLUM 271
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-base-w16_in21k-pre_16xb64_in1k-256px.py sha256=PGDnhAmEswx_ZCCycsOlhZ20fpmSIhUvCu0QvsQlwJ4 390
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-base-w24_in21k-pre_16xb64_in1k-384px.py sha256=mlZJWO9HIViPHg5HmcsJC90BPeXBH1VvyiCNeA_dsys 413
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-base-w8_16xb64_in1k-256px.py sha256=r7-wolqWEqZwLWJ763EkrSty2mOMV-hx3r0mFydWNIA 213
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-large-w12_8xb128_in21k-192px.py sha256=o9718GjiPKxXRKd10KtHQp-P8tUlPldnSsfrTzhjCS4 584
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-large-w16_in21k-pre_16xb64_in1k-256px.py sha256=t_G3M5zeI93SN3yxhJCQoEvbUOFN83DQ5p_GXa66tZI 379
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-large-w24_in21k-pre_16xb64_in1k-384px.py sha256=U01363PimJtbbLYOECXkomr54MK__yvST8ed_sA8SAE 410
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-small-w16_16xb64_in1k-256px.py sha256=645r2HlnT24DEGZ3zGDANF50_zsgXOkFj1s9hgx_XSw 272
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-small-w8_16xb64_in1k-256px.py sha256=ZJ_4Gittgr0bUXxriAvjCOLJmhdoNr7s54Y93e2Eikw 214
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-tiny-w16_16xb64_in1k-256px.py sha256=_zAQ1cc-kvFSvf8yC1Xgj1X46yG2vN9MidovNK3vMBc 271
mmpretrain/.mim/configs/swin_transformer_v2/swinv2-tiny-w8_16xb64_in1k-256px.py sha256=VBHth54KQjZoSX7xl6JYpxN9LyqXf4Qwsbyeq0SYjNA 213
mmpretrain/.mim/configs/t2t_vit/metafile.yml sha256=ljL9MG-nUm6JM1L1W-YkKrqK1IPbQVlfjVR2p1zysNs 1983
mmpretrain/.mim/configs/t2t_vit/t2t-vit-t-14_8xb64_in1k.py sha256=NO9tRRTz4Mil3kIVto7i68hUuvIpw6nEA2XYZ8fNrhc 1321
mmpretrain/.mim/configs/t2t_vit/t2t-vit-t-19_8xb64_in1k.py sha256=xp4_cXR6OYTwGu6UFMBSCyDHmMgbJp_fG3kh2_yCiGQ 1322
mmpretrain/.mim/configs/t2t_vit/t2t-vit-t-24_8xb64_in1k.py sha256=MekpTouvFzJPEJQ-82TgnXoeU4hLJtkRcbfJrMpi_HY 1322
mmpretrain/.mim/configs/tinyvit/metafile.yml sha256=hi_Oh4RhQI2Kga3EOtRX9mfVsR7sIWqwVah2QZrcrSM 6452
mmpretrain/.mim/configs/tinyvit/tinyvit-11m-distill_8xb256_in1k.py sha256=ohjuACOGeUknKZn2wG60Hw7uvcL3pD6zWH9uhwshGyQ 49
mmpretrain/.mim/configs/tinyvit/tinyvit-11m_8xb256_in1k.py sha256=3S1RIa0KJSp-REy-LapLDwG0roo4R7B8z3-sd2taUto 208
mmpretrain/.mim/configs/tinyvit/tinyvit-21m-distill_8xb256_in1k-384px.py sha256=VdCNuT57ZevXDEHR2TkRLEEOG8_EUjevCc8hpsYq9-0 677
mmpretrain/.mim/configs/tinyvit/tinyvit-21m-distill_8xb256_in1k-512px.py sha256=2_MF4JLpq7ZTHFLJWnXVVpLX0u-NV8FT5M3djQnMPws 691
mmpretrain/.mim/configs/tinyvit/tinyvit-21m-distill_8xb256_in1k.py sha256=NTWzPEyZgHgFp0ljIojaEZKg0Ex3_3Wh5w3kMBseQo0 49
mmpretrain/.mim/configs/tinyvit/tinyvit-21m_8xb256_in1k.py sha256=XnlnUE49JIC1jYn9qmGflKxSXiZ0nxwNAXm6X3A_cbI 208
mmpretrain/.mim/configs/tinyvit/tinyvit-5m-distill_8xb256_in1k.py sha256=PTiejOFO7p8M4VeznqU6g0k7lqxCxf-PY6P_5A11PTw 48
mmpretrain/.mim/configs/tinyvit/tinyvit-5m_8xb256_in1k.py sha256=V1eXNJC0tvn7lGgu4X_tTT9BIOutk-KKFaSyd1tgAyg 207
mmpretrain/.mim/configs/tnt/metafile.yml sha256=_g_by2nF8ybBo_uohmp27KtucCf-qImG_vw4qC7AEpI 1113
mmpretrain/.mim/configs/tnt/tnt-s-p16_16xb64_in1k.py sha256=BCktxCvWV8bCikdaNG8VBUsbm_3PeAP5vqe256qvAKA 1538
mmpretrain/.mim/configs/twins/metafile.yml sha256=FwPs_455duD23lP1QiBsDXxbF2KTWfSdGz1nAZuZenw 5169
mmpretrain/.mim/configs/twins/twins-pcpvt-base_8xb128_in1k.py sha256=EDViQBVSUa4zpzeQQ_PPwFdRW4k4j_ahJtGuyM1u3Vo 1030
mmpretrain/.mim/configs/twins/twins-pcpvt-large_16xb64_in1k.py sha256=eUvggcRcvhnazM6nHOMOLYLcWTUjHq9I03gMIW8w9-Q 192
mmpretrain/.mim/configs/twins/twins-pcpvt-small_8xb128_in1k.py sha256=YVDpoasmHOaYxK-2lR0jhMxOy_LXPohvFBpXLABgzTQ 133
mmpretrain/.mim/configs/twins/twins-svt-base_8xb128_in1k.py sha256=rux9QZVVPsl9XblgtNmL3v1SZ-MbqEgSRrTkmrbG02o 1028
mmpretrain/.mim/configs/twins/twins-svt-large_16xb64_in1k.py sha256=jFn3Jqh2y6P7CUd9wCgNv6HgGeiT7al2hzFfIqcz9bk 191
mmpretrain/.mim/configs/twins/twins-svt-small_8xb128_in1k.py sha256=29rW-Y8QHRMbpvYGoICWsYLXhKZh_-Qmy4_1GBDZ560 131
mmpretrain/.mim/configs/van/metafile.yml sha256=fDq5EMYiZE2xcU4lCulF3CDQJmpqCfG_-Fk8AgtQiPw 3168
mmpretrain/.mim/configs/van/van-base_8xb128_in1k.py sha256=pzxtqysd3W3BPJRpIeayEc0Kg6WLIumk4zUzOi2yLx4 1812
mmpretrain/.mim/configs/van/van-large_8xb128_in1k.py sha256=889l4IthWxpdR_PL0pangOh9S9m-AMub7cJvhf8kQYs 1812
mmpretrain/.mim/configs/van/van-small_8xb128_in1k.py sha256=9niyh1DpshlqwzkFmuqZahA1exs-8nzd8ZUcCcAOpSE 1812
mmpretrain/.mim/configs/van/van-tiny_8xb128_in1k.py sha256=cl4M_8V0J9ZwvVAgqBKf58fog0n8rHXTrKRDmvxjMh4 1811
mmpretrain/.mim/configs/vgg/metafile.yml sha256=Gy4UQxBB-4i8Lmef-ay3dZqlic4B6ZekJ3sX_5OxdCo 4063
mmpretrain/.mim/configs/vgg/vgg11_8xb32_in1k.py sha256=5eouCcBQ_faoU3A2zVAFxujPE8a9VtA7qGfWjuBPtY4 248
mmpretrain/.mim/configs/vgg/vgg11bn_8xb32_in1k.py sha256=8OLUym-3BsCHKzHvDy6xnYoN6EPm_QrYFeY0qYdVPKE 183
mmpretrain/.mim/configs/vgg/vgg13_8xb32_in1k.py sha256=0iVUCDVK8uBoBndCHozg8W6CoohRItQaDsjlb0KD8kc 248
mmpretrain/.mim/configs/vgg/vgg13bn_8xb32_in1k.py sha256=MVnA5Vgt8Xo_LNXyfkCDs6CqzktrIySrSO7r09oYjGY 183
mmpretrain/.mim/configs/vgg/vgg16_8xb16_voc.py sha256=0_RP5IpgWOlCRVbtCUv8QaUGwEa5FPbZlkWlErfYRUY 1344
mmpretrain/.mim/configs/vgg/vgg16_8xb32_in1k.py sha256=ztm7UhcEMNXjRfHFVbaES7rSUecW3IdDddvXVKh8mLI 248
mmpretrain/.mim/configs/vgg/vgg16bn_8xb32_in1k.py sha256=ix-QLv7fwjqp10o-V_bvWqg4D30tLoMq97prGvkE-zU 183
mmpretrain/.mim/configs/vgg/vgg19_8xb32_in1k.py sha256=8DPhwSpLvTCecin-6PiY465QMXa-2EF2KO2H_G11U68 248
mmpretrain/.mim/configs/vgg/vgg19bn_8xb32_in1k.py sha256=3izTO2nE8NwGKJi-4UsU5XlQeAjSijH8iIDnydblCfk 183
mmpretrain/.mim/configs/vig/metafile.yml sha256=_a2lmDz0qS2cmjrFQvckcY9TC6ADVUJLE-qW6l1ZkT0 5221
mmpretrain/.mim/configs/vig/pvig-base_8xb128_in1k.py sha256=y0ecrFnuXOAHOmEi6LxynDn2w9CwHu5Z3vJxrg_DOvs 603
mmpretrain/.mim/configs/vig/pvig-medium_8xb128_in1k.py sha256=_JwTdBBRJhz51dyxz8vsJnbRibZl5sxn3ilVo0oD-X0 196
mmpretrain/.mim/configs/vig/pvig-small_8xb128_in1k.py sha256=zYTmdjW-mT3vep9qSZMn4m8WBqXVj9Fkb6ieaFad7JY 195
mmpretrain/.mim/configs/vig/pvig-tiny_8xb128_in1k.py sha256=iDilip5CGILsuxvVTAEcpwFSCIoKEnBgd_QPYQfRqNE 194
mmpretrain/.mim/configs/vig/vig-base_8xb128_in1k.py sha256=88uBe2C5UQ5gzndnK7etNReYtvUaZ46UC1lbE7_X724 186
mmpretrain/.mim/configs/vig/vig-small_8xb128_in1k.py sha256=1qcWjrVDin_3uS_IQCJSK3iN5gthVpGz8f4z2uuBB3g 187
mmpretrain/.mim/configs/vig/vig-tiny_8xb128_in1k.py sha256=4ixDfDSv9YSoV-ZFjdar3oyXXyD74JSZwQD9oklMn50 186
mmpretrain/.mim/configs/vision_transformer/metafile.yml sha256=5ztyE9oUNQmFLXIdvFFRnvtmlf7OZ2AW9l6JXmkA7eQ 4067
mmpretrain/.mim/configs/vision_transformer/vit-base-p16_32xb128-mae_in1k.py sha256=YP7PNpZFbuzWthtztbaQMoXfm54tyBxhfWdYE6pf-bY 1581
mmpretrain/.mim/configs/vision_transformer/vit-base-p16_4xb544-ipu_in1k.py sha256=JtPn8SWegayZru5XrvvEjRdGKNp9ed_dASvFTpGR0k4 3402
mmpretrain/.mim/configs/vision_transformer/vit-base-p16_64xb64_in1k-384px.py sha256=bU3ErFoqImKC93Cm58TH6wd9AedTK6FZvL7d7SnRvnQ 1089
mmpretrain/.mim/configs/vision_transformer/vit-base-p16_64xb64_in1k.py sha256=BkxQMh8QQ2otIkqma--Yx7B0LMpHaDnmfxvAC-bXv7E 398
mmpretrain/.mim/configs/vision_transformer/vit-base-p16_8xb64-lora_in1k-384px.py sha256=JWpwZv2KqBa6Lj1suF4RIe72pMPN2ULV_gvvvzenENs 2238
mmpretrain/.mim/configs/vision_transformer/vit-base-p32_64xb64_in1k-384px.py sha256=gNOgZ5TkzP-vCRInNAHkk0pW1oGoSWB35xpC_31s7W4 1089
mmpretrain/.mim/configs/vision_transformer/vit-base-p32_64xb64_in1k.py sha256=mrI0T1_EEp29gcSk5SJOgnbk5bVrWM0A4PNbWlHca2k 398
mmpretrain/.mim/configs/vision_transformer/vit-large-p16_64xb64_in1k-384px.py sha256=Yd00DzwhZetVZefr1peBsgI2Wg60AG4v2Nt6lziTYpI 1090
mmpretrain/.mim/configs/vision_transformer/vit-large-p16_64xb64_in1k.py sha256=lrILQUCHPfARFsMOATXG2_9Ar_HcSxRpiCZ0yNP3GNM 399
mmpretrain/.mim/configs/vision_transformer/vit-large-p32_64xb64_in1k-384px.py sha256=nch1fqCgx85xM-nAPkB6l3eDKTHC8rAm2Wqums6bE3I 1098
mmpretrain/.mim/configs/vision_transformer/vit-large-p32_64xb64_in1k.py sha256=aGKwWtMM7vl-o3BUu6c7QatV52dBz_L2kkHyNOVou74 399
mmpretrain/.mim/configs/wrn/metafile.yml sha256=XTi-3Jqr3sn1bvRe2YKfCFzKTVIuIChFrJ12CuKB8MA 2876
mmpretrain/.mim/configs/wrn/wide-resnet101_8xb32_in1k.py sha256=Of0FcutvtiEFHqXVVfIXUBOcP8DYjgVVn3BfZRTV3TE 224
mmpretrain/.mim/configs/wrn/wide-resnet50_8xb32_in1k.py sha256=JE1LhqHyGdskVjqHgHx5hg9FzHMrWthebE_fiu2wbnw 184
mmpretrain/.mim/configs/wrn/wide-resnet50_timm_8xb32_in1k.py sha256=lEQ31kWQm_5frijVyZt_rY3luTFey7osmzr1KDOE8M0 185
mmpretrain/.mim/configs/xcit/metafile.yml sha256=YVnYAkDqqg0N1vH8YQvY2YAlnRat1Mys6QK_LRiEQu8 28291
mmpretrain/.mim/configs/xcit/xcit-large-24-p16_8xb128_in1k-384px.py sha256=pWP8Rm12BYWPsnIGnBoNbaNyTlpmFKTy0l9dslTy61Q 815
mmpretrain/.mim/configs/xcit/xcit-large-24-p16_8xb128_in1k.py sha256=bscFKHaXjZEJIPLAsQmVnOOpK_LvCycRie3A4_W0zis 815
mmpretrain/.mim/configs/xcit/xcit-large-24-p8_8xb128_in1k-384px.py sha256=Bp3J58dGKdW7r-56CRtmOlTutd6QJLoNFMU-dXEcSIY 814
mmpretrain/.mim/configs/xcit/xcit-large-24-p8_8xb128_in1k.py sha256=NDCUTj_fLFB6ezFn77tnmEpBIdHkGIQiwpZLcDFkLu0 814
mmpretrain/.mim/configs/xcit/xcit-medium-24-p16_8xb128_in1k-384px.py sha256=NjWfAeayaM-2xG1MyqLtlPCPCX5Lz-yR9N76cAMkRqI 814
mmpretrain/.mim/configs/xcit/xcit-medium-24-p16_8xb128_in1k.py sha256=d3KLVCQi2w8XF4t-Ruy7WcviYZPpRxHWTfUpa8bl7aE 814
mmpretrain/.mim/configs/xcit/xcit-medium-24-p8_8xb128_in1k-384px.py sha256=y-RzJzUgeXEHxtC8iAG9ityO3fPt9jDHI4jILvSzNPY 813
mmpretrain/.mim/configs/xcit/xcit-medium-24-p8_8xb128_in1k.py sha256=5XSWpIDp7E5QVQUNz3x_TSw_MOsYgFwRvnRBSlYBSYY 813
mmpretrain/.mim/configs/xcit/xcit-nano-12-p16_8xb128_in1k-384px.py sha256=juYgRhMRFUhjVNdA72arLQNenf7LRmU0gBGHd-Xo-ug 814
mmpretrain/.mim/configs/xcit/xcit-nano-12-p16_8xb128_in1k.py sha256=QOyMfAUsxCAsGQp2TTmNwyEpyt5UainOdW-7e5_CUtU 814
mmpretrain/.mim/configs/xcit/xcit-nano-12-p8_8xb128_in1k-384px.py sha256=_11pI7z2eEUoWJ_c-4fMfp5mmQ-9JMWXtGTtx8L7nrI 813
mmpretrain/.mim/configs/xcit/xcit-nano-12-p8_8xb128_in1k.py sha256=Spcpz0tfktNwHitNmzsczLUZHqs84uApxVDZxLdMlQc 813
mmpretrain/.mim/configs/xcit/xcit-small-12-p16_8xb128_in1k-384px.py sha256=FngtVkR24TY2BdCuOwVtbFOxuQ3VCTMEpFEgwvUXTMc 813
mmpretrain/.mim/configs/xcit/xcit-small-12-p16_8xb128_in1k.py sha256=TD7JTLt9Wfjmo3lXtMp2_4fq_jGJdwhn_QhvqeHAiaY 813
mmpretrain/.mim/configs/xcit/xcit-small-12-p8_8xb128_in1k-384px.py sha256=oX4cICz2vMnQRx0gTbwwtCZuNezt7ixM6kYrwNEWND8 812
mmpretrain/.mim/configs/xcit/xcit-small-12-p8_8xb128_in1k.py sha256=eSHxcmcaJHzYV-bYetVY53H1vrZuPsEVBcmchgYfqj8 812
mmpretrain/.mim/configs/xcit/xcit-small-24-p16_8xb128_in1k-384px.py sha256=tBcmECtLQzfEKHXS0B_LsdLCW2Vqed8o_SZKJY8Ik7o 814
mmpretrain/.mim/configs/xcit/xcit-small-24-p16_8xb128_in1k.py sha256=nkHn2Igk_e62ifbgXJQiqncuIsBf1f0wVG0P9Ks5ges 814
mmpretrain/.mim/configs/xcit/xcit-small-24-p8_8xb128_in1k-384px.py sha256=dkzqw7Xg28Us1snf63ztPkh45iFMUExmHok_W0uNp6E 813
mmpretrain/.mim/configs/xcit/xcit-small-24-p8_8xb128_in1k.py sha256=chFihCFNq9Unjfy9BY2PL7oPLMUbzjWFan9KbuM50uU 813
mmpretrain/.mim/configs/xcit/xcit-tiny-12-p16_8xb128_in1k-384px.py sha256=3mQZMz-B-IiASdK6vdNyq5Hz1N6Kq7pb_WZB1U2E1KM 813
mmpretrain/.mim/configs/xcit/xcit-tiny-12-p16_8xb128_in1k.py sha256=3PQBoaU1OMJZtxD-fTA2UY9PLAaEFVoAIDtHPYeoKdg 813
mmpretrain/.mim/configs/xcit/xcit-tiny-12-p8_8xb128_in1k-384px.py sha256=YW-ilUJbBHHDpzRDhAOzL2j-h7Kz84aGOpaxfix0x8U 812
mmpretrain/.mim/configs/xcit/xcit-tiny-12-p8_8xb128_in1k.py sha256=icXmtw6EECn5XcYqKiwKS0Z_n_FBBqKq_-pVAeP0cm8 812
mmpretrain/.mim/configs/xcit/xcit-tiny-24-p16_8xb128_in1k-384px.py sha256=8B9VdXuoaMpkmc3YhadWMQNdl4IDNeiVei8rxNFXmic 814
mmpretrain/.mim/configs/xcit/xcit-tiny-24-p16_8xb128_in1k.py sha256=Gd6o0-zyU1EEMm6YyrweXKIOV_DHfON8o1kpWhuZAnU 814
mmpretrain/.mim/configs/xcit/xcit-tiny-24-p8_8xb128_in1k-384px.py sha256=AG3W5G_zN5AHsmZoM5PxfNX2cyNw3a26qzZoT4LxrwE 813
mmpretrain/.mim/configs/xcit/xcit-tiny-24-p8_8xb128_in1k.py sha256=534hfr20xtQgNCuMS28q-gOuYKVkZGmKOLVUwNOR0JQ 813
mmpretrain/.mim/tools/dist_test.sh sha256=uwDbbtB8EowkTumwyIg7BNnLRAjguLkFgK1bSbcUo-U 479
mmpretrain/.mim/tools/dist_train.sh sha256=OYU14B60Ilc4jz6dxVn7A_PFR24j7iVu5GhGWgoUiac 442
mmpretrain/.mim/tools/kfold-cross-valid.py sha256=pdKDl7cDY08xxiwsHWkkelntE_RNuNFCHIYJaQc4Vww 8957
mmpretrain/.mim/tools/slurm_test.sh sha256=qziKEyt_4rRI9bV8a407XQUEiV0-tkiVhADXJnDtdlw 566
mmpretrain/.mim/tools/slurm_train.sh sha256=SjkOU16-ERNnBGwZWNd4yINN9oovHTymkCpltzIebAc 574
mmpretrain/.mim/tools/test.py sha256=A9e_3rnz-LT3XW7Bc73TalbtA2K0NG2HqbXxOmqwtqc 6982
mmpretrain/.mim/tools/train.py sha256=Y2lvCIvMJREtcQ4ws7cX_tCbr5XOHIPe3kfbtbZRMA8 5426
mmpretrain/.mim/tools/analysis_tools/analyze_logs.py sha256=ARcic0nMfuZNEncyqmtt5vgsZtaa_w12yTSP8jMcp5A 7189
mmpretrain/.mim/tools/analysis_tools/analyze_results.py sha256=aMtYtF8WIx887DBH8foN0xMGM5pYG1srRXMtQaCm3b8 4037
mmpretrain/.mim/tools/analysis_tools/confusion_matrix.py sha256=liPiXd_weGa1VpSKPaTAQlScAqkDXWP8qMLObr8tnWQ 3750
mmpretrain/.mim/tools/analysis_tools/eval_metric.py sha256=G-qCeY1oSktMXYj52UWNAS7S6U3eXBzvH0-eUU9PZoc 1891
mmpretrain/.mim/tools/analysis_tools/get_flops.py sha256=QR2L13WTilMVp1xM__hoecYNSHICj9I1HozXQoHKT0k 1913
mmpretrain/.mim/tools/analysis_tools/shape_bias.py sha256=CumQvXyIofSFEDQmFPS3c3t6FJWfOmsAjh9CRzfATfw 9284
mmpretrain/.mim/tools/analysis_tools/utils.py sha256=zXhRFrCuRfBwaO6oq-l4ILv4aTP3N92u2iEXrgH_B_w 9055
mmpretrain/.mim/tools/benchmarks/mmdetection/mim_dist_test.sh sha256=FCMOCLvQTw8ISWc0kDrOwBn8J8cLFRHQ0FEwF_xVNU8 230
mmpretrain/.mim/tools/benchmarks/mmdetection/mim_dist_train_c4.sh sha256=ILYIs4rC-VZmS36qz_VVmcwg0BDCUSX4h7pr3LgUTEs 548
mmpretrain/.mim/tools/benchmarks/mmdetection/mim_dist_train_fpn.sh sha256=BJ9vFxUsYs65A9-OSJBMuXh75R1aEF_nWy3xZSWktws 366
mmpretrain/.mim/tools/benchmarks/mmdetection/mim_slurm_test.sh sha256=0dDD0OhgGULOd8xuPLheuT966JVeZiMcyPVeUkOztr8 472
mmpretrain/.mim/tools/benchmarks/mmdetection/mim_slurm_train_c4.sh sha256=tvjCXuV7sGXhNRWbVRqzTn8_fHdeBGGqMSslCQ4Gr3E 796
mmpretrain/.mim/tools/benchmarks/mmdetection/mim_slurm_train_fpn.sh sha256=CNz2BMcE4vq7KOgDnh5NADRhj4TRPu0qyLes3fVWe6E 614
mmpretrain/.mim/tools/benchmarks/mmsegmentation/mim_dist_test.sh sha256=bNfzfse83DorBWtow3azL1gSPrzA2vVfKe8EDEhfIMA 230
mmpretrain/.mim/tools/benchmarks/mmsegmentation/mim_dist_train.sh sha256=mP1zlOgJI-HLG2y3g9juPpyAYqZgFiWNavD0njTjz-w 394
mmpretrain/.mim/tools/benchmarks/mmsegmentation/mim_slurm_test.sh sha256=fXVPJnjbnLwj-pdLH8eH5ooLsnq0U9Rxjt0LEOjSkIU 472
mmpretrain/.mim/tools/benchmarks/mmsegmentation/mim_slurm_train.sh sha256=iYK1tRt0wLiMvHTed1btIVU-nXlc2USdAcfnrrLE3-E 642
mmpretrain/.mim/tools/dataset_converters/convert_flickr30k_ann.py sha256=X6fptBx-uEZ1Jf4B9LKDiN_6Lw7rSGU6O4EvouvQ_l0 1764
mmpretrain/.mim/tools/dataset_converters/convert_imagenet_subsets.py sha256=1YkrDzjGyCUz4VjCpx4-ve-b3wlNGy8UsOXhtvOB4Iw 1524
mmpretrain/.mim/tools/dataset_converters/convert_inaturalist.py sha256=U9W72VSmZyTZTdyafTLcAyA_sQ243a2AGFEjxpfSZ78 924
mmpretrain/.mim/tools/dataset_converters/odl_cub_preprocess.sh sha256=x3V8uDnBGjCSAid7HeeullGy3TlB3mlOEHJA4MSGCE4 301
mmpretrain/.mim/tools/dataset_converters/odl_imagenet1k_preprocess.sh sha256=3S935-oSxQ271EHnQSNQ4fSagwPEcykhXVgZX3QLJsQ 596
mmpretrain/.mim/tools/misc/print_config.py sha256=RLcZEvb8OCuDkG6Rn2il9Nol7zNboVB4vK6_wrtM6qQ 1120
mmpretrain/.mim/tools/misc/verify_dataset.py sha256=IZsqQhbktSxyaWahqUN_Gr0OArLTZFzpukHZQHIU_2c 4875
mmpretrain/.mim/tools/model_converters/clip_to_mmpretrain.py sha256=8XB2neX7ff0gWMXiWjsdV23J_wAaIJ68aeOa65NXp4w 2166
mmpretrain/.mim/tools/model_converters/convnext_to_mmpretrain.py sha256=UfneyCzOrY0rI4HX54zv_QZwwcybMGi2UmYp_v_sDJc 1725
mmpretrain/.mim/tools/model_converters/davit_to_mmpretrain.py sha256=t_-BJ2P3Ynnv3xkikf19CKYPypRbME-fdXVt96irADY 3194
mmpretrain/.mim/tools/model_converters/deit3_to_mmpretrain.py sha256=tispX0IX4_kZ8RnnBJoi7XfbegLakwQfLjwqqaeo2Xs 2274
mmpretrain/.mim/tools/model_converters/edgenext_to_mmpretrain.py sha256=8C1eqIjqCqHwWNbmjy7JXN0e9UMgUTbljBpjkP31mYc 2023
mmpretrain/.mim/tools/model_converters/efficientnet_to_mmpretrain.py sha256=fvV5RlQv9ffGUx9dnIcbSw_EOI3bP9mOf9ejaUmx8Z0 8753
mmpretrain/.mim/tools/model_converters/efficientnetv2_to_mmpretrain.py sha256=ierPnnB1_YrWF3mjPFJGt7H7MkfjNHaJgK5C3JLbzlI 3941
mmpretrain/.mim/tools/model_converters/eva02_to_mmpretrain.py sha256=xSk7KcBsqR7b_bUInoXvMGDz8eIkOHE2z3Zlx6-KOdo 4937
mmpretrain/.mim/tools/model_converters/eva_to_mmpretrain.py sha256=bzCd0xpnfLxJnQOnhhXlBMwH70SdZdJr4ic3peEcEEg 2229
mmpretrain/.mim/tools/model_converters/glip_to_mmpretrain.py sha256=9cR2lj_KUTFMmPh5Wr_xVYz3KZTlD6v2ZWMkswSeXgA 2400
mmpretrain/.mim/tools/model_converters/hornet2mmpretrain.py sha256=9Iz1DOOJUE9V-ZJ2nzZlH46O_khBdsIGAZBn0kcyUaA 1699
mmpretrain/.mim/tools/model_converters/levit2mmpretrain.py sha256=jGx3_0sEUi8rINbVUdCsnjhCU5zft5mobqpBV7lnjbs 2549
mmpretrain/.mim/tools/model_converters/llava-delta2mmpre.py sha256=zMaWFcouN8Hap87bnSaKInNZ543BI5UccENn0H3pC5w 2286
mmpretrain/.mim/tools/model_converters/merge_lora_weight.py sha256=AjqYZl5RkVoE13-Y63cpSUHd6Knsu6q_dXOtNxUyOb0 2772
mmpretrain/.mim/tools/model_converters/mixmim_to_mmpretrain.py sha256=TFR-FobW2UxdoT-sBXF1j7OKV0Kuzad8OJo0DPPnQ0g 2748
mmpretrain/.mim/tools/model_converters/mlpmixer_to_mmpretrain.py sha256=yE4WHE-AmY9zGv3Km3ot7P8ywu2l_6MBmktTdWGW1fs 1684
mmpretrain/.mim/tools/model_converters/mobilenetv2_to_mmpretrain.py sha256=5n7Na9FVmIgIfiH04ToSHaZ1csXoEL-am6U9fkTJIlk 4737
mmpretrain/.mim/tools/model_converters/ofa.py sha256=2RxoSf5bCN41kTQRj_A06HAc5IOpHwbGMJl6oDBM37Y 3597
mmpretrain/.mim/tools/model_converters/openai-clip_to_mmpretrain-clip.py sha256=woXc2MeCnpVyYIo84XTah8mnXz4gKiB9jEgTdA5LQJ4 2686
mmpretrain/.mim/tools/model_converters/otter2mmpre.py sha256=AHAjfdlfVYiY9AVtgoUABHL-FDNFvYNsJ2ddnuIdg00 2108
mmpretrain/.mim/tools/model_converters/publish_model.py sha256=qy1jwxZfypmIO-5un9SiHzNOGlgdV38wtw7CIc_7HGo 3692
mmpretrain/.mim/tools/model_converters/ram2mmpretrain.py sha256=ybUD7oBfDLQgOS1Hp6A6tMftrmUXDheVwcDooaZCEuk 3907
mmpretrain/.mim/tools/model_converters/reparameterize_model.py sha256=XGuH9owxi4RS_D-CURSJaZsml9CgqeyhjQAEOsEFuoE 1935
mmpretrain/.mim/tools/model_converters/replknet_to_mmpretrain.py sha256=NAexroxM0jqKcEUElhghr4hHO0IWYZWqn_OHpiG4i3c 1609
mmpretrain/.mim/tools/model_converters/repvgg_to_mmpretrain.py sha256=bBkuZYUfgIRmz_vWvEez_WofW1iaL_z--cv2qi8zjt8 1940
mmpretrain/.mim/tools/model_converters/revvit_to_mmpretrain.py sha256=8Hw_zEk8cKijZ-Pe3sfRcPvnnwmSaaIhOTS4tn0Ps0w 3099
mmpretrain/.mim/tools/model_converters/shufflenetv2_to_mmpretrain.py sha256=URzyJmigU4cg2_BgzgtFnjlHKYj-fiN4xkXyHRLMtA8 4142
mmpretrain/.mim/tools/model_converters/tinyvit_to_mmpretrain.py sha256=FD64GAZbfBqTam2GLzYKUuuyga2F1Z_59YfSWKtfpXE 1703
mmpretrain/.mim/tools/model_converters/torchvision_to_mmpretrain.py sha256=9kpW66ZUEo7dH8wd4jrd8n2LNI7c20G5g8Oijcj9Ee0 1838
mmpretrain/.mim/tools/model_converters/twins2mmpretrain.py sha256=h7GHFvK6Z7cevSTMPsNC-frLDURo1Lsw2wXBH122ZU0 2180
mmpretrain/.mim/tools/model_converters/van2mmpretrain.py sha256=f03ce7NkwP6UXTXlnCjyyrKzVdkvGCqhPVV8UIschjg 1895
mmpretrain/.mim/tools/model_converters/vgg_to_mmpretrain.py sha256=NyMeqZyKp12YfYJbF9waNeafBZCQ5Yk7vWQDtEEePUI 4093
mmpretrain/.mim/tools/model_converters/vig_to_mmpretrain.py sha256=7RIUArFJ2LruEVxFk3LLDqn9j-Vytledt1HNbf_Qr14 3360
mmpretrain/.mim/tools/torchserve/mmpretrain2torchserve.py sha256=NpgOtM0OcUB-vsID3dQ26GSNWoC2TAT0R7bOXNFwf1k 3842
mmpretrain/.mim/tools/torchserve/mmpretrain_handler.py sha256=4wFm9VgbHUqOkSDKbIsfOtrb5-woqakqYMWf0oIxUtQ 2420
mmpretrain/.mim/tools/torchserve/test_torchserver.py sha256=El5d-VvE2sP8AN_pksROKJmzkjIA_9TuofwX5R1cUFg 1422
mmpretrain/.mim/tools/visualization/browse_dataset.py sha256=9-XhbPmbxFWrOjhI5D3eiO5ql04TABUkZNm8Bj6a3Cc 9156
mmpretrain/.mim/tools/visualization/vis_cam.py sha256=pYfhLpKwAFSqnNWKZ9Y2CA1m8E4VfTbQDzd5oePxtmQ 10342
mmpretrain/.mim/tools/visualization/vis_scheduler.py sha256=HFHA1Vexb7ouEimBN3PqPwEGUNtiAeBRjb_vUuYs8cc 9020
mmpretrain/.mim/tools/visualization/vis_tsne.py sha256=W3_q3Zze1WX-v7yr_Uf4ta-wlKYP-aHb3h_EWfy2V4A 9910
mmpretrain/apis/__init__.py sha256=zLQaOHzvQfuClZKmyeI50ehefSt56skHdkiboWaLTD0 1084
mmpretrain/apis/base.py sha256=gCGEf712Lqpl79azu-jbFQm_ExTGYNMnuW3-meGhSzs 14927
mmpretrain/apis/feature_extractor.py sha256=XLI1-1ZGC5T-Ta3dUwG_FI8_ADIlxRy9TOB3n_pi9As 4715
mmpretrain/apis/image_caption.py sha256=u8c19MpRAVABdv94wOJK032xm2FpmLilrYgMw_4BQFo 6323
mmpretrain/apis/image_classification.py sha256=CibsITK9FGUcIxZvJmPnRDvf8bxM33LsuIJEvZwMhKg 8712
mmpretrain/apis/image_retrieval.py sha256=r_SqQzpOqpV6gZ-jfLhR_CH1TLuq8Y1cRCi6ctMFOj4 11048
mmpretrain/apis/model.py sha256=IZzX9HCNtkZAxivMAxYNGxTN-2I4Py_0XEdwwd-JrMs 15940
mmpretrain/apis/multimodal_retrieval.py sha256=Pqo4x9Du-Rn03iNd00Mju3nUYHsRO0j0kNbxsSFGD6Y 23773
mmpretrain/apis/nlvr.py sha256=HMUwxYqeSGBjnpTIHXZsgieWQSs0da5s3eRUpJP8gtQ 5737
mmpretrain/apis/utils.py sha256=ujtIbooa0oC0LEQL8-PmxmKOu9P77Qawj_VcJSXgE2I 10844
mmpretrain/apis/visual_grounding.py sha256=aLsK8eGbrL2HuMnpUFExcHdPG_sm_qkJuOtGe7YyUIg 7114
mmpretrain/apis/visual_question_answering.py sha256=Y3thYwSEGq4ROJsZFApCk5gxaZdslHnScCY1Ev-tAyo 7280
mmpretrain/datasets/__init__.py sha256=E3JKIrsJxvO8EFH4Z1LS30JaLr0zYv1nS0xqWg9wAyY 2404
mmpretrain/datasets/base_dataset.py sha256=f3-Bmn417U5SdTuExtI45KEBDKWxb2G341XC6S1sC4I 8037
mmpretrain/datasets/builder.py sha256=2kRe2uMDLuD6thK7UVLxvMdME_rAHkrM4yTTa8NhzNM 844
mmpretrain/datasets/caltech101.py sha256=vSGQ6w8f5tUKX6z-VUWNrEaHPgbjVHTqQOF4wu_AHoE 3772
mmpretrain/datasets/categories.py sha256=a3JZl55amH7V7HmFAyMGmRNHO2VxJzHgttas3I_ohmQ 73854
mmpretrain/datasets/cifar.py sha256=KzNM3FGtdkoKVFSD5V9j_w5n_J6UEYBgLlGxxCm4qVk 7876
mmpretrain/datasets/coco_caption.py sha256=jx2i6rfHZDuC1UEafi1PzyqmUEbT3CuBJRVW8Z8Ggmo 1319
mmpretrain/datasets/coco_retrieval.py sha256=e70XJ3jGpRa1DkDSxM9x5cV02WjSPeXrcEfg5d85p4M 5515
mmpretrain/datasets/coco_vqa.py sha256=ijAH82DvIlRlKyqrsp-_JruOfFIvtQjBrAyJRAWAlbE 3909
mmpretrain/datasets/cub.py sha256=cimXkNjvpisdu0BSxwx5BXa10h1MnVtejEhlz21YzLc 5191
mmpretrain/datasets/custom.py sha256=CWgFHu2dgvpLUZqgBKBriE78566pDXePcpt_tCSFzrU 10408
mmpretrain/datasets/dataset_wrappers.py sha256=T8FQTRoVBdaFk-edYPtN3cDE0_WCBoo252eKXA18RvE 5461
mmpretrain/datasets/dtd.py sha256=EfZV05CszkkeVodIw9MvobbjXB-jgRO1dxfJl4sPAYM 3664
mmpretrain/datasets/fgvcaircraft.py sha256=kAmczREFAJ-8UodbWIRYC7eOi7Ec4DfzP8aeQ0N0F-8 3498
mmpretrain/datasets/flamingo.py sha256=UMSBt_Ii2o0ui19xlsEwZZHmEwTYKvLSOOMPb3zlyow 10694
mmpretrain/datasets/flickr30k_caption.py sha256=om_mUtwXpUXmgDAU4yWAJBguFP7E4o8BiBSbkf2tWUw 2623
mmpretrain/datasets/flickr30k_retrieval.py sha256=NHFzCiVfFoZIZSYjLv-UrAjU12MSMfb03mBdrbbEqiQ 3745
mmpretrain/datasets/flowers102.py sha256=NIhk2m0fBb8yPk9z83IsZKHfjq1vM63SmBFffHBhmJ4 3500
mmpretrain/datasets/food101.py sha256=7veKKxd3QXyQAnIMulSdByFattQwnzp72tJOywJ1O74 3406
mmpretrain/datasets/gqa_dataset.py sha256=VA1OkHzNoM0sN1ZLQk5bQvCIwJqS_JIoLcbFSONRMJI 2388
mmpretrain/datasets/iconqa.py sha256=D13VDXapot5WH2E4BFsMogFaKPK1NEU1PtVxS53o3XI 2128
mmpretrain/datasets/imagenet.py sha256=c_iDsAt0iib3ElSk7_rf8Bf_4N8CLt0U2m-3fWIRPi0 8071
mmpretrain/datasets/infographic_vqa.py sha256=Hcl7DqXw5uPRwXw92YeBVqVd4yzeSICqhOluyjM7-yE 1989
mmpretrain/datasets/inshop.py sha256=RNUand598kBrMJaq9WuURu8UIvfBKdip-GXV9QTHahs 6188
mmpretrain/datasets/minigpt4_dataset.py sha256=-WqMGmA3lFIRZvjQKDvV-WPsRrTPpOBo_cN5mr6q5MI 2439
mmpretrain/datasets/mnist.py sha256=fx63OJKF4QS3rcVARSjUQhZrEjRYvCl2A7MpgTPX3ZQ 8650
mmpretrain/datasets/multi_label.py sha256=iOxAw13MuhCCFesEkAK-4D1plKXYgrjO0_v-qw11ntw 3227
mmpretrain/datasets/multi_task.py sha256=vkWHH4FjbVzpB5AyMd4eoZW_dHmA7MR15a6-PIb_B9s 11053
mmpretrain/datasets/nlvr2.py sha256=xjhpX4vFbp8uwO_5ayHFUexBj7vg5cTmDGeF7bwAMfc 1092
mmpretrain/datasets/nocaps.py sha256=HC9oswg7tZjp2Mg7y3jhY4MWfKgvyMVPHQbvy-4-qrM 1443
mmpretrain/datasets/ocr_vqa.py sha256=PD3odgq6zVL1gRT9X8vo9xhWLqImNJvOU_KjuM8eXFE 3072
mmpretrain/datasets/oxfordiiitpet.py sha256=ViB1fAIX6l1-E2LJ7V-kp-7yhoirhsyKm3w0WqUGfrQ 3338
mmpretrain/datasets/places205.py sha256=BM8fwI18uAjSb4kFOIGeRXaOWfMIJzofXMRXdO-XOF8 1452
mmpretrain/datasets/refcoco.py sha256=2bwP8b2Cw1yX9F4JuNuKGdTKjTlMDBr2vaE-2EIokAo 3664
mmpretrain/datasets/scienceqa.py sha256=TrZ_IjaT1CQ_Er30vO9QdWGnEvSMjot8fgPH0T0tphg 3643
mmpretrain/datasets/stanfordcars.py sha256=hID3R67czd0vVd_OBlEAWXT_eyfif5Sx2RQFZxJthYI 5418
mmpretrain/datasets/sun397.py sha256=hCkLE5aF4qjxRBrVyOV3iwZ88bF6CvVDGbpxrZHXuc8 4279
mmpretrain/datasets/textvqa.py sha256=pcwouyHYYIqSAD5eCDZ9tMgVs3Cuj7O66OS48bkqrxo 3583
mmpretrain/datasets/utils.py sha256=ZMAdR2XMd6fQumLngTBhX_OoOHlSAxIyjLCQ0B0NLKA 7667
mmpretrain/datasets/vg_vqa.py sha256=5s8_KQ2W4nwPCtZ509WP9XUzHTNRXVEfLsg4F-5drvM 3002
mmpretrain/datasets/visual_genome.py sha256=q3mG9M98KO6xeRM7AvTJ319T9IzV1FbOEBc7c-Q3hgs 2995
mmpretrain/datasets/vizwiz.py sha256=bEFSMM-h2CnDHpae_-HWuYfzM56Y0j3-I02zV7ASF-g 3929
mmpretrain/datasets/voc.py sha256=qGWxnxjkxjinYPjDeHR6HwemFIs0HzSVjlJaqH-2tqo 7402
mmpretrain/datasets/vsr.py sha256=HFknfC0jcG2vLXAaPTcslWdRMIoG55e8EvlvtnOM0JU 1705
mmpretrain/datasets/samplers/__init__.py sha256=CSyCr1T3YiLv7RPePtwgde6p4CrEeInhCiDpWN3W8rY 184
mmpretrain/datasets/samplers/repeat_aug.py sha256=1lS1e_mlvxw7Rnaxa2SvL_hY8EcrYuWSmRk_qrqehJE 3845
mmpretrain/datasets/samplers/sequential.py sha256=mywzBJpY3MoZsKrGfSaolf1tWYJWGk2EkIKA_JsxwKE 2207
mmpretrain/datasets/transforms/__init__.py sha256=MkNXR0EW-aQYRo2C0tsc8EyHm7ObJbfH58uqTw6zjk4 2319
mmpretrain/datasets/transforms/auto_augment.py sha256=9OQ12Mt0i07wX-a23hq-nmVXpEwQV1QA4Op_-CHKVm0 48888
mmpretrain/datasets/transforms/formatting.py sha256=GF9uR87saWJNgdhyCZzKyUpGhq0V29TJB1w5crBy2YQ 11347
mmpretrain/datasets/transforms/processing.py sha256=1l4sAg-MGbLd2fQbJ7XAH7KD5zaflM6aiNpuEiH9QFk 64672
mmpretrain/datasets/transforms/utils.py sha256=de1pDNXw-U5tqzrer7_M__o4dWyWNAspnZaq5XESwa0 1579
mmpretrain/datasets/transforms/wrappers.py sha256=9fWgDPZ5MmBrrdlbT1MHRfri7Uxhk8t2tHQqgoCw7_A 5280
mmpretrain/engine/__init__.py sha256=4cQJvj5c7W15utc_oEWkhYh88E80mE2B_Q_fGJjVp34 224
mmpretrain/engine/hooks/__init__.py sha256=Vj02nr8MqPI8GTBQA67FhpVy-jLo20Ug7bVwDAXWYbI 780
mmpretrain/engine/hooks/class_num_check_hook.py sha256=D-pPFrOClwYEYJ7L-xvdBRchAwaohYyTrtjGLRHsj_s 2414
mmpretrain/engine/hooks/densecl_hook.py sha256=pvAkmokeaqD8NAICzkHIgSndc-Tk4xjwTmtQoCxy2YY 1556
mmpretrain/engine/hooks/ema_hook.py sha256=2w8ReGr4U1Iz6fqZsKjnO__Cb2hQaTWnksNiCo4G6vI 8632
mmpretrain/engine/hooks/margin_head_hooks.py sha256=ej12z5mQ4u0CF4nepL7_-AyvSYhkrioY_tZAbz0UsQQ 2266
mmpretrain/engine/hooks/precise_bn_hook.py sha256=R0d4ZhRBR9mMIm56vn76XZ2nbkMnehynpo7QYvGVa54 8774
mmpretrain/engine/hooks/retriever_hooks.py sha256=ugPSAIUenLsnKRhpPXwRq_GXLvXsX46UOocvyT3WHpw 1041
mmpretrain/engine/hooks/simsiam_hook.py sha256=H6wWG5KkNe4L7JAtBeIprrL1IpSrTRCDM3JjkQkDVDM 1657
mmpretrain/engine/hooks/swav_hook.py sha256=RtLCRfPRtzu4ipB7qsMnp311gUcyeWk8em3IzmDxbqk 4914
mmpretrain/engine/hooks/switch_recipe_hook.py sha256=x3BeicENs4eKKqIl4u0HJ6fwtTIANHjt6KPaDAHuvuo 6732
mmpretrain/engine/hooks/visualization_hook.py sha256=dzIAuAPr53t5nYq1AQkHczGRiEvMuAl79mVxekZhdSY 5026
mmpretrain/engine/hooks/warmup_param_hook.py sha256=IpoPcNtdOV1zoeaIP4w2_a9CeECjtAszsJVSEPeW0uU 2314
mmpretrain/engine/optimizers/__init__.py sha256=j1jpt6yxwTmdvjCNAU1KQhVzNkvu25BXDDJlcS1PB1s 297
mmpretrain/engine/optimizers/adan_t.py sha256=KDO8WFA6Sf6j5HZ177eLr0KNupdwKIKF0YT1BV1g5Sk 11336
mmpretrain/engine/optimizers/lamb.py sha256=CwfGz3rt9ISsZRgPsfho377iGI0u3e1oXrJcwwAQqS8 9660
mmpretrain/engine/optimizers/lars.py sha256=xz0B2bTn6ig-NPvtYJmZcpybRQfkm-eXeejlYwJK-Lc 4758
mmpretrain/engine/optimizers/layer_decay_optim_wrapper_constructor.py sha256=O2nprspKLvkhmYrwNsZEEaMEfKboGPt9JU3_RdxbiKo 7409
mmpretrain/engine/runners/__init__.py sha256=v-96GnomiibiU6JGbWWBkxe-nyUXqUtvMb65Ekc57NA 165
mmpretrain/engine/runners/retrieval_loop.py sha256=SWsOJYyAv5KZlJuCVJeWdSyH5O7inn95_Re04p1xGOM 6547
mmpretrain/engine/schedulers/__init__.py sha256=KXp3cQIcSEnMfv_bZXA50_DBN9cYpp1u1d710q6coPI 153
mmpretrain/engine/schedulers/weight_decay_scheduler.py sha256=S2AmGLUbb0JTTQLnMw6K6Udw_TMZkGKU2-pbRtEFwXo 2526
mmpretrain/evaluation/__init__.py sha256=rz9fSGV9gR48BaBXEAGNWECoWovlTmSWP0U6zz1yh4U 135
mmpretrain/evaluation/functional/__init__.py sha256=OXfVzmp_jYucAbDaqCwXIU5POxUgMgNJzjQUCRYZLBM 48
mmpretrain/evaluation/metrics/ANLS.py sha256=jtczSSf1u20ct63k-xqlUT3ETXhSn9QrWWLsjLrHRAs 3835
mmpretrain/evaluation/metrics/__init__.py sha256=9A798GMZbjbJPL6MdDZXQxqMNvDACSyB9kJ7Jt9R_cg 1017
mmpretrain/evaluation/metrics/caption.py sha256=99U2sKa4LpMWGqLoENtF1stLd5rgJEI42TiZEZgVn_A 4497
mmpretrain/evaluation/metrics/gqa.py sha256=-WMIjANPu3nMiJxbU2sr6diogsB05szOmEnPYnt1bwA 2788
mmpretrain/evaluation/metrics/multi_label.py sha256=lNzjsbv4DxH0ZD2WKQkLd7BE6KjO1TcA-cA2rqmSXig 24925
mmpretrain/evaluation/metrics/multi_task.py sha256=a3JcwYUtW0F_YufhIx2J2OsBRadiL5wx1Sw8dy4YB6A 4826
mmpretrain/evaluation/metrics/nocaps.py sha256=GusHimufaX5esx9TRaIUQldf3U8k9zkwoLB9sYTmNT4 1936
mmpretrain/evaluation/metrics/retrieval.py sha256=AwSQ7SAA-B2niSKwpY8jaWMK93HjOqLB-tRhP3we-PE 18798
mmpretrain/evaluation/metrics/scienceqa.py sha256=sXI7hmw12FGfIl3v8HVAW5oK7u1XqcDcmOhHInhmQSM 6755
mmpretrain/evaluation/metrics/shape_bias_label.py sha256=GWX32Y7irj67gemyVPLkEcC8D1-Vo1Mi5cnP4DzuoTY 6827
mmpretrain/evaluation/metrics/single_label.py sha256=I1d0Nl9cuO4zN-ioyWR8zheWXAWZq1qbGnTkRePLTRA 31789
mmpretrain/evaluation/metrics/visual_grounding_eval.py sha256=aFtN05fHUTAjV8fqLfJhZ-yOui_7fB1-NBys7zJpkkM 2915
mmpretrain/evaluation/metrics/voc_multi_label.py sha256=ZbWvKMG-SLQtY2len4OQYQ1dQBDTHagcw3kfu6bsnpQ 4184
mmpretrain/evaluation/metrics/vqa.py sha256=KadW3yXclRybN48BMLYtInF6qcGb58FMy_Uf4yG9aqk 10435
mmpretrain/models/__init__.py sha256=CqVCMUF0-atqIt3LR24UfsG0vtZSn8NJIkLod0Tw4lg 848
mmpretrain/models/builder.py sha256=E1PZiTxEyTvjpe7U336IfgNzCBZhIksIZFlBkEGqG10 676
mmpretrain/models/backbones/__init__.py sha256=DZap6wUJgWKjDHazIusQQb9FUgKYfkW2-xoCKnfUc4g 3159
mmpretrain/models/backbones/alexnet.py sha256=jf91ejo-ZjSSJy-SJ9sX4fisYejz52JeUtgK5MYEFdU 1888
mmpretrain/models/backbones/base_backbone.py sha256=hzbVkDVFzG4Wd8Stl2r2s1FOlBQzSNKlXwSiXmGhT7Y 957
mmpretrain/models/backbones/beit.py sha256=120klNNmTnSHY7jcHMaf2W9QZp_0T_fMm1uRz52cn_k 28643
mmpretrain/models/backbones/conformer.py sha256=mAQX_g-NmDHzRFkjFoy2lS5-fuMUJvnVre0gMqc2MiM 22645
mmpretrain/models/backbones/convmixer.py sha256=tvQDB4zAptNNSHrYlk2NACfQFV-nqA5bEICQSPnbujE 6192
mmpretrain/models/backbones/convnext.py sha256=qU_4j597z9Se8mCk0a6DJcKeBThjUFR5HebFtU_YKU0 15099
mmpretrain/models/backbones/cspnet.py sha256=MbWDWzqx1ydeUX_Joz3GajU_qtj83cEks6EIK_s8JPw 25507
mmpretrain/models/backbones/davit.py sha256=bgX5W8hvXvrLzUkAiJ7AhKt00yEzH1EWgnVwBEGj3NU 30645
mmpretrain/models/backbones/deit.py sha256=Nu6D8P-zA0DW70WM14oloZymTilnMK5k5YW8b-ybxag 4788
mmpretrain/models/backbones/deit3.py sha256=iRO4Bpby5-DLJJIPDtpqGpIt5IGio8678iUThh14yd4 17185
mmpretrain/models/backbones/densenet.py sha256=9urbBtv8PrUpEUwWNsaecepPiZqFI-jZ7GIva7UINVk 12016
mmpretrain/models/backbones/edgenext.py sha256=3Ug6q9d0YzbB1RL9oHBuaWIUWKgJ072MrdQeaYGf21Q 15475
mmpretrain/models/backbones/efficientformer.py sha256=V5NsteroYoXnFknzhX3zzHF-wNswBJgNDgtNRXvUQB8 22042
mmpretrain/models/backbones/efficientnet.py sha256=d6UAJ1Yce6nAJfJ1WBJKOT3_87G_Gh0LxkRtiK3B6GA 15726
mmpretrain/models/backbones/efficientnet_v2.py sha256=Vwwwz6auriT1uqC_08BFumSLyNzLAOC9S_tUtlm8l-k 16382
mmpretrain/models/backbones/hivit.py sha256=ELoERYhIvXlthq2nMcJRo81u9Khw8zqU2PPzQLJAfVQ 24628
mmpretrain/models/backbones/hornet.py sha256=EKLyneHL4WpvhXuIJ1xr_lGxg_dYWg7Zm28MfZ51cbw 18959
mmpretrain/models/backbones/hrnet.py sha256=kylaHx_xRq5OgqwmpTDxc6epup_FFpo8z7lZm01mock 23396
mmpretrain/models/backbones/inception_v3.py sha256=M_XVPQ4fgO7kFFUjLDph1avkOsXtTIqtP7FID8JnDr8 18806
mmpretrain/models/backbones/lenet.py sha256=-0Z2JSzy00pCqTOCXgSW866EgJRa_Lrx1FCwTlP9oCA 1330
mmpretrain/models/backbones/levit.py sha256=49UYIza6vF2v0huFsJmDsUTdSBthbzIFa7bjUnMQH4M 18201
mmpretrain/models/backbones/mixmim.py sha256=wP8SGu7dnRHwzaQz_GOO4X0r1sEFeu20YQoLB1k7Bk8 19834
mmpretrain/models/backbones/mlp_mixer.py sha256=8ZYa8LE7nN4ErI2CnyI-x6j8yOGZ-J_-_KeAueZeLnQ 9664
mmpretrain/models/backbones/mobilenet_v2.py sha256=CdGqjaZH5c65grO_j2XIJOZtYLwYWbvKGFZkUoOfoTs 9600
mmpretrain/models/backbones/mobilenet_v3.py sha256=uSC7NDMk5GYB4Evl6GWbgcHrLZNzFnAkMiPyR5cJ3YU 8780
mmpretrain/models/backbones/mobileone.py sha256=J0DmYqYXGPHbT2HSwjmOc2PU9rHGtF8F2HwDvNWvwtk 18955
mmpretrain/models/backbones/mobilevit.py sha256=4dQml4DNncMd3oGnowcqXc50gw3Ur1MXr_1DpmR7TgE 17053
mmpretrain/models/backbones/mvit.py sha256=6zEo0xF8QxabEEvul5JPJstF1zjWhkFEnmics3jMQa8 26094
mmpretrain/models/backbones/poolformer.py sha256=8uheV-jtVXiqodgu1h_ObMXQTPKJZss0gYq_UKDoRvE 14706
mmpretrain/models/backbones/regnet.py sha256=o20ybis8uQMjPdCJaGKdLfMFwLbnn4VV-mojcNgzqqA 11898
mmpretrain/models/backbones/replknet.py sha256=JWBv4wA34pPZCoJq_leZap2YN9f7cxLzi5Q0ex2Hjwc 25324
mmpretrain/models/backbones/repmlp.py sha256=3eEYJR8XVdgL-I64xbkmG8z2JOZfKkIHGF8_CRPgBbk 22849
mmpretrain/models/backbones/repvgg.py sha256=CWGFU8WNH4G_93ciEn5tonPC6BfSZd_5UnoNUdk2N58 22087
mmpretrain/models/backbones/res2net.py sha256=g-1BLKnCL1q_OgBwjDUyYm8dMHGQsQ7u4e3stXTi08k 11237
mmpretrain/models/backbones/resnest.py sha256=xtxUE4fdVxIYNF-GSp8EUDA9bWB8oknLCndBRiMKYMQ 12235
mmpretrain/models/backbones/resnet.py sha256=o82ZEAIjgLz4jURaVPK_n2I042izUSgnE8mNA3Cp524 26552
mmpretrain/models/backbones/resnet_cifar.py sha256=ajiwpqUUEZD7FMaOgq0i-1Uh8tAGcFlZWbNl0HJARgo 3711
mmpretrain/models/backbones/resnext.py sha256=qhW6yYTCxOKFWhqXEh3ZR2F6WFWN2SHCnx97UixO4IU 6260
mmpretrain/models/backbones/revvit.py sha256=nFYKi_NvHdwCq7DTXQEwq-JQ82lu45GpPJUUMZ1pVXU 24265
mmpretrain/models/backbones/riformer.py sha256=M7aftG-0sb5xbY6dgX8FJseTeVrLnJux4WRsjxqCGwA 14049
mmpretrain/models/backbones/seresnet.py sha256=yL0mTtkffMxW4GmbDO1zbMHNHhfr1RjXeUzQmhHjkIc 4614
mmpretrain/models/backbones/seresnext.py sha256=nNBmt6h3P-t6S0JuZhOvsI5nOlJ8_-s0iiT2Oh3Psic 6677
mmpretrain/models/backbones/shufflenet_v1.py sha256=-pRD7ZbPC8uHJ-PHGe65wbApMniuPxDOWxsMD93ItuM 11596
mmpretrain/models/backbones/shufflenet_v2.py sha256=fZVYBKmETds3T7-xwUp-ftPcjrLhZSDHO2AhFYm8rkI 10783
mmpretrain/models/backbones/sparse_convnext.py sha256=QEAf7pj-Js8Z2A_Sk-kYH5M7Ej916yMBwb8FQbEfwXU 11733
mmpretrain/models/backbones/sparse_resnet.py sha256=CAAV6nJ8PXk5YoAvHvbQfOhK0d5rgaKonwaASmeqA3Y 7444
mmpretrain/models/backbones/swin_transformer.py sha256=ITCOrjpXpLyJ7dmrV4sZbDoX3SkgQ3p5Mc-XUuPwyxg 23638
mmpretrain/models/backbones/swin_transformer_v2.py sha256=xF4b5py6By6PIG5Vba6HJavbSm_ADUnwalojkUIutJs 23060
mmpretrain/models/backbones/t2t_vit.py sha256=sONJ_an225Y257eagHh0-kSy5ZR0UfhN_H7_hWKu_RA 16685
mmpretrain/models/backbones/timm_backbone.py sha256=5Mx66MVcHT2s7-munRUpuh-Kp_hcQ3W68hD4aPyCpB4 4213
mmpretrain/models/backbones/tinyvit.py sha256=-e6blU1bXmGqFAYZI3WyzaBJfpMZXY9jN36VJzeTcV4 26505
mmpretrain/models/backbones/tnt.py sha256=CeEU6TTGQXyDZtSBpfLYFHOiBmAIteHq0ba92csTY3M 14530
mmpretrain/models/backbones/twins.py sha256=0ReNXRNgz0zbPajq72LxZW7Jj99fU0Tq-Hh5p5RgB6w 30218
mmpretrain/models/backbones/van.py sha256=JCRnNPZ-CfUGg4w50DBdQ7U12_SpjVQu0FrX5HSlOWs 15649
mmpretrain/models/backbones/vgg.py sha256=zwYm2NvC0yyqiuxo5wterMFTL8WOMnPeAIveWxrDDOw 6756
mmpretrain/models/backbones/vig.py sha256=rMwTMuJl4OoCxmiCdHJu57CQfz0iG6BP97LAP3ujvmk 31677
mmpretrain/models/backbones/vision_transformer.py sha256=dN9FUEuKLBD_Idi-2qCxQ2DpVFtO2jvHGuFCfz80SxY 20376
mmpretrain/models/backbones/vit_eva02.py sha256=A0KEMogtisVdDvu7t0l4n0VoQsrReIzHiDFJqrfV5Ms 12783
mmpretrain/models/backbones/vit_sam.py sha256=iGNWUkksF66iKsGj7r5oMRHJezgJrsWzacD-fOT0chI 27046
mmpretrain/models/backbones/xcit.py sha256=Z7z74kHkcPGEsHpiL9Q-mM01l_1a0KBKx9JNAn7EAP8 29245
mmpretrain/models/classifiers/__init__.py sha256=3BSL4nAVvBaYNvbyDHJIe6JIS9E84eCtwyhbOyhdW50 299
mmpretrain/models/classifiers/base.py sha256=SBmTgaUJZK8cUlO-YVe4uyW6s40b8bP7w8tClxiHWcs 4332
mmpretrain/models/classifiers/hugging_face.py sha256=80izzJaPhjI9W0L8sCDmQIZR6yb7BI_KUnlLHEyM98I 8889
mmpretrain/models/classifiers/image.py sha256=jP4HVqUlWe0AHx2M_ZC8u52kRjDWzrBK2x5Kj5Y3NPU 10957
mmpretrain/models/classifiers/timm.py sha256=g9bWzG7QH1pq0mAuES6ArCuwNMVIHLYfM_u1swmdWGk 8104
mmpretrain/models/heads/__init__.py sha256=_xIobuR9dv8PlcHp06qH_8EyQVZR8eixDwMylR9oQRI 2110
mmpretrain/models/heads/beitv1_head.py sha256=aWNAPH0fMedjDf9EFej8FAS7NwKQ8l13EY1rTRbjtus 1685
mmpretrain/models/heads/beitv2_head.py sha256=LHNCCozh6Zw5KUHqh5i_bgF4puiflxNADKQBuFI2_uM 1861
mmpretrain/models/heads/cae_head.py sha256=Md8IwPOsPgQIOvgGwW2H6lyLobmfAqi9ZarFZ4a6MMw 2430
mmpretrain/models/heads/cls_head.py sha256=k1bX5Qd2CLVsM9yRloUbmk50kO_UehlBTDFrQ1_VsRM 6046
mmpretrain/models/heads/conformer_head.py sha256=urImGfFX4WgWeaBmZn-yqk0NYB3J7HKlgCyRHmVThhU 4579
mmpretrain/models/heads/contrastive_head.py sha256=Iy6GCIHsYzKldtdnSE8kjNq8lorq8rJzVLWpsKLseoA 1618
mmpretrain/models/heads/deit_head.py sha256=XEN2vs5Is6SiShWOhyQbVmrYzcfbVjOvwvgbURvu4Wg 3023
mmpretrain/models/heads/efficientformer_head.py sha256=fAY9U915CKb8c5HewfwNswIR2FibSXAPQh7rqIE6AtM 3315
mmpretrain/models/heads/grounding_head.py sha256=_u3GCNwo5SKqdxbS8Ci30OSUXtlFZF-sDQTwk0toLXw 8046
mmpretrain/models/heads/itc_head.py sha256=EACvITS79GOF50fexQSlGDt0-6wJLKc_CetbFWoTqIE 6310
mmpretrain/models/heads/itm_head.py sha256=h8NI9HtEpp0udqDs6qmgZkFWR9SPleoAXnkX0NNfBDI 4179
mmpretrain/models/heads/itpn_clip_head.py sha256=5m_2Ud_443Rph6DTOCWMOalbDx5fvFhebQlJbDqIKew 1736
mmpretrain/models/heads/latent_heads.py sha256=9da4CIQeSZgrblIUbGu-uMg03ePe9oj_V0vh9J8W9bM 3077
mmpretrain/models/heads/levit_head.py sha256=nn_39veJg_phD1iEoLZaxFtLCV8MTWDt-YsdBMkCohA 2523
mmpretrain/models/heads/linear_head.py sha256=qo0xSvWD4NBcAoP4XzketrP8GwhDaQWLmlLbz-qBryw 2344
mmpretrain/models/heads/mae_head.py sha256=xBas95CDasrdYo_HTgdyLr6CVQP-2w8F1VFbZUjhOBY 3511
mmpretrain/models/heads/margin_head.py sha256=7QobmsOOtKPPyGnDlgVJ8mg7AH-kcERzwUjDxH35ZRc 11382
mmpretrain/models/heads/mim_head.py sha256=mJGnd4fNXEGfYgt1EzLSUP_aR9TDUriKOvDH9aRWYRg 1003
mmpretrain/models/heads/mixmim_head.py sha256=sbiObk3go1O33tiykpp4HEwu9XFFKXT7JjOZM9ffL8A 1396
mmpretrain/models/heads/mocov3_head.py sha256=wd1CgP7KqLbF0dwMQEoyQMKazHjvKni29cEJSWNrzHs 2222
mmpretrain/models/heads/multi_label_cls_head.py sha256=HGrGa3NjkQaiZ7oyVft7x_INAsvq_gRsENas3EQrZxQ 5919
mmpretrain/models/heads/multi_label_csra_head.py sha256=_xuvN6Ypvomfc3M-0sSJvHUuJaFwZfwcuojOLMVzfjQ 4117
mmpretrain/models/heads/multi_label_linear_head.py sha256=prBVcSOLTNLutmqwYOH1mKVlbSFVi3STw50c_ijF9XY 2549
mmpretrain/models/heads/multi_task_head.py sha256=IF2KJ7mnC-OO7ybYmpV45TmZPD5e6qX71Bm6U5ZH48g 5730
mmpretrain/models/heads/seq_gen_head.py sha256=kBInqg6oqMGWz9RyQmTv49RADiXS62I3PJs6OZaRmEE 6720
mmpretrain/models/heads/simmim_head.py sha256=CA1fzN84u_KiNUkKW6BNWqWAqbDsO6idEYQ5UTzVCMI 1234
mmpretrain/models/heads/spark_head.py sha256=vB1HFgVEF5ptTTmEuw5w5yfPzmoeCRWPs-Jp9hw0HAE 3073
mmpretrain/models/heads/stacked_head.py sha256=Iq45y86kudf3ayUOUpgguazfbHCEiBbSm9BvMDYJNwI 4538
mmpretrain/models/heads/swav_head.py sha256=xqtCzTGxqmcWWVNhlvBETire6iVHlG_pl_8BYT6cS-U 711
mmpretrain/models/heads/vig_head.py sha256=V8GlVGeabLgcnmct7-jYssg-iWpCF1W61fLerEF-JHY 2265
mmpretrain/models/heads/vision_transformer_head.py sha256=8tL1hCwjOxnzw9VSYbSWsolTCsKRt3FbjRDtu7dhFbc 3784
mmpretrain/models/heads/vqa_head.py sha256=IZgAtjys_2jtuCijomKCFgrpdJNn5-jZOXNwl_MuEyQ 9757
mmpretrain/models/losses/__init__.py sha256=zBGg0uQ38WzSTUjB9jIgjDLgTm6I4RZNFBCtcPfzI4Y 1135
mmpretrain/models/losses/asymmetric_loss.py sha256=Z-2sD97kiUmPmH1sk9IhcTFYTQZUDYkdbDBQwYi1WYY 5535
mmpretrain/models/losses/cae_loss.py sha256=vbJbjVpcHw1Y8O9sy98Gmza7FbBLIa1RKEWYPHXchjI 1496
mmpretrain/models/losses/cosine_similarity_loss.py sha256=B3QW7986GhXrVg1-SheXHnqmSVCuufRhTUrTd6c2AWg 1631
mmpretrain/models/losses/cross_correlation_loss.py sha256=6S8MzQm2RQR7A9aONR0w_Vp8Dp_iH09jKW5MRaS2A-4 1337
mmpretrain/models/losses/cross_entropy_loss.py sha256=sfbMORlSWKkCd2oKoVvFoF6r3Xrj-UJs3KArvmOCR8s 7602
mmpretrain/models/losses/focal_loss.py sha256=KZMKuLkVwhIq56iI-9tQfmKW-neUnbwoIRQdDcKsyvs 4285
mmpretrain/models/losses/label_smooth_loss.py sha256=V626DU_1-E5pFaymS959VoywX0tEAm-V8gD1CFdKPcw 7173
mmpretrain/models/losses/reconstruction_loss.py sha256=fo5u4JIHHA9I_745UNDrFreW9rjWsai9Pf6YtNDA1yA 2393
mmpretrain/models/losses/seesaw_loss.py sha256=E1ygbWPOHWN5qrsr1Acp9rWH3xUpWkC4TRLDbh6J9Jc 6733
mmpretrain/models/losses/swav_loss.py sha256=-csM3TZSoCBQuPY33E6xwt9VjyejQqDAlNVJlKZBiMc 7327
mmpretrain/models/losses/utils.py sha256=TJIuLOvrwRPh8lR-DT91uSfkw3LpYdojc7RbSJjGIpc 3694
mmpretrain/models/multimodal/__init__.py sha256=y4pRMonQujf7rmBpQZmjq-5URQzG_X5HAN0ftXCPc7E 1030
mmpretrain/models/multimodal/blip/__init__.py sha256=0wejBhHP8h8BWwxLh7bX-bhP3REAoOUENO5rgl0Lsqg 461
mmpretrain/models/multimodal/blip/blip_caption.py sha256=Vu1LbcCODULpj-D2fumv9618m0XIZ-M_s0f0G9DKI4w 7055
mmpretrain/models/multimodal/blip/blip_grounding.py sha256=oFX-UvcEAVmsdSfgd5WDe4OqC4cze8qKeMsGOoboiKI 9274
mmpretrain/models/multimodal/blip/blip_nlvr.py sha256=XVSnLkVWmNMrdfeOOwMkFL_bLS7-u39KbrWs2IUQzI4 7761
mmpretrain/models/multimodal/blip/blip_retrieval.py sha256=AiSJUudAtc0hgdfUk1B_NXaKGVconL9tiWnYvdo-3ds 28732
mmpretrain/models/multimodal/blip/blip_vqa.py sha256=ETN5FaHEanrwxfGpcrQK_YmhIzW3uUpfxVp2Jn2bfmc 10422
mmpretrain/models/multimodal/blip/language_model.py sha256=lQd0-2vSWqyCZjzFduzq5mrIlJVP1Q5gAxO4gVkSMjs 52002
mmpretrain/models/multimodal/blip2/Qformer.py sha256=gqmoLzJDy_AR0jMOREBykFyJSGiIF_V1i_bq1Y6xzfA 32155
mmpretrain/models/multimodal/blip2/__init__.py sha256=DHGsZe2ImOzqVw8Xh_Duym-XMoz4X8WSXjId_ufaeG8 331
mmpretrain/models/multimodal/blip2/blip2_caption.py sha256=8WAg4e0Vfs2F50yMNuJWUvEnHjyHAWCkdUBFAqUPd7w 12032
mmpretrain/models/multimodal/blip2/blip2_opt_vqa.py sha256=rofbAOFu7IdTAgrRSzXYbCZJW8XLpuhSbFfGnyyyzPw 3242
mmpretrain/models/multimodal/blip2/blip2_retriever.py sha256=HMTevjohdttPvTOsFrwRnwxizQhOWekn-Fu_js9RtQ4 21891
mmpretrain/models/multimodal/blip2/modeling_opt.py sha256=ySSe56dsx73NPlGhUnfkFyaA4ydNnLvCyQE8UCwvcFI 48175
mmpretrain/models/multimodal/chinese_clip/__init__.py sha256=WTVgaCUvsl_rVLfEjfwR20zYFOljfBkXSiCbcDiO3P8 192
mmpretrain/models/multimodal/chinese_clip/bert.py sha256=ZUFoD02gImWqUv59JsCjE3mPgK2WGDY8vipsbhxZdnQ 10497
mmpretrain/models/multimodal/chinese_clip/chinese_clip.py sha256=G8nH579JbajPSTZDkliC5BpZIsSb8J2kB30mHiBBkOo 16720
mmpretrain/models/multimodal/chinese_clip/utils.py sha256=IP8e8fLFLvh_Qy9NZjNokE2Vve1w5U2vzX3BxCv3oN0 7132
mmpretrain/models/multimodal/clip/__init__.py sha256=M4PMTorg2vO9vmq-gV2q7wKvjC2E7-k4Ej4YNzJlqc8 232
mmpretrain/models/multimodal/clip/clip.py sha256=xubLwmdhePnJE3QkrULWrIPJAHg_7eCALlj8F4Jv_Ws 13886
mmpretrain/models/multimodal/clip/clip_transformer.py sha256=AVNqoSJAiw87Wy_Ri18ij7cJdEHQ4boFQvGmUxU_fNw 3215
mmpretrain/models/multimodal/clip/utils.py sha256=8GSTC0XoX_lcSzohrbt8lntvVI_TK8hv0Mblafy8974 4485
mmpretrain/models/multimodal/flamingo/__init__.py sha256=KqIDtBBLOIQACocCbPOwIKoAyNtKwXbkWSUfdODr-KM 163
mmpretrain/models/multimodal/flamingo/adapter.py sha256=FF3rZguIDEOV6ULmHEs7LAm0OpK0e92Scqzkn1CQ5Y8 3857
mmpretrain/models/multimodal/flamingo/flamingo.py sha256=hq-ziN7K9CRmoSkRaqgig4OX6jLClX2tsULE75TLO_Q 12697
mmpretrain/models/multimodal/flamingo/modules.py sha256=f7_sDFTfM9K1zVKtmKJQ3PPhSi4MEAN-4qSuDlHUl7g 13810
mmpretrain/models/multimodal/flamingo/utils.py sha256=UyHUqE2TrU65mr7OSSk2P--3oZjOrv8Jp-tN9QTEV3A 1968
mmpretrain/models/multimodal/llava/__init__.py sha256=4YzvsQ9PJSy0JFVSdzdqaV3dV7sWcgEeVdoBUenzTHU 162
mmpretrain/models/multimodal/llava/llava.py sha256=aqVUUGKu2maR49wVCP8uKJ03AGT06BRasiTbr04_U5s 10570
mmpretrain/models/multimodal/llava/modules.py sha256=frxUqtqEI01ZX9vr1ZJbItUcAneKb1R8NyRIU-FNFOw 9531
mmpretrain/models/multimodal/minigpt4/__init__.py sha256=JIw6sQXxrXWOhsBbsMKTUOmgVF_AMKLGcTNbv_ICUgM 103
mmpretrain/models/multimodal/minigpt4/minigpt4.py sha256=uxZyTdUKcb3w13rtpwGD6knjlkOAwzOgeb3PLtPc_bI 16465
mmpretrain/models/multimodal/ofa/__init__.py sha256=LjpQS6q6t_4rU2f-yG8Q02CSyOu4os3oW2K6TqmEC6k 204
mmpretrain/models/multimodal/ofa/ofa.py sha256=8scxfCzuh5yhESE3thkHcYvxS9IOqwHaK_JAyUm0rOg 11897
mmpretrain/models/multimodal/ofa/ofa_modules.py sha256=9YI0ZARvW81h0TkTvyAvMC0HbPf38rdzTVtxpMKjmfE 64671
mmpretrain/models/multimodal/otter/__init__.py sha256=dfUEdw8rvltbzykF_CyBXGqBn8V8FAm8d_OY4zkZ-QU 94
mmpretrain/models/multimodal/otter/otter.py sha256=fsZ25OswIZJjOmNiU_IXSPzB2GJdAPpGlHnfGVmWmJw 5903
mmpretrain/models/multimodal/ram/__init__.py sha256=Q3z6YZdiweXDXgbsVplFb4WbEpGNle8NlwGzLZwi6ew 138
mmpretrain/models/multimodal/ram/bert.py sha256=EwutgH7Fpcl4jF2n0em6NMaXc2G19IsqRcb5TBOBpKs 47733
mmpretrain/models/multimodal/ram/gradio_demo.py sha256=DN-JwikbjstjcPKTsR-N4kyQyfRJ2Ag5Q3xevpDOFpI 3226
mmpretrain/models/multimodal/ram/openset_utils.py sha256=Iv_SiCTHKUtQ8LEEYUgDTV0K1MD_1A-IoRXzohA_eak 8475
mmpretrain/models/multimodal/ram/ram.py sha256=wl9C7bDr3tHac0iEuHMLMj1miPnZFh24pdvgtCo4Z40 12264
mmpretrain/models/multimodal/ram/utils.py sha256=7hYqzn9dpqFkk8XaPNskRzTZsg56qImDh5KPkiajeOI 3944
mmpretrain/models/multimodal/ram/config/__init__.py sha256=OXfVzmp_jYucAbDaqCwXIU5POxUgMgNJzjQUCRYZLBM 48
mmpretrain/models/multimodal/ram/config/ram_swin_large_14m.py sha256=tOQiLOWcavX_OfUOJuJ3sXnIZeN9Hr8qgFG6wBoglsA 3182
mmpretrain/models/multimodal/ram/run/__init__.py sha256=OXfVzmp_jYucAbDaqCwXIU5POxUgMgNJzjQUCRYZLBM 48
mmpretrain/models/multimodal/ram/run/inference.py sha256=faMdTWOJ7wWFD9678RHRowMbQpIsnCpDqVJNQQKj_NU 745
mmpretrain/models/necks/__init__.py sha256=Nbdmk7Iejl6yD5Dq0UBp8G1i8uL_ndLC5PLyOAiNUrU 1095
mmpretrain/models/necks/beitv2_neck.py sha256=-PTt9tCpCWAMjoiMmw0mThFHXpum4RwSB748FqIpeyQ 5945
mmpretrain/models/necks/cae_neck.py sha256=KC5ixqpQ0BTWSbGr58h-OBc6LT75hwRAXQ05BfzxRQU 10771
mmpretrain/models/necks/densecl_neck.py sha256=eJNcvxftJrPTeDENu5BTMp1mcTRrbm7es323id44Zzc 2637
mmpretrain/models/necks/gap.py sha256=KZcCURUD_RM6Kn66q5-ZIv2Ef6Wx2MJuUYz_1V9Xijk 1504
mmpretrain/models/necks/gem.py sha256=tKlY1Na4wGXwe0WwPoLZNkF5oYyAX4kvUXO_A68Nf9k 1961
mmpretrain/models/necks/hr_fuse.py sha256=Fce7wL2wVruYeBcHZS_KipkaZqCVVdlrFZfACe5UI7U 2984
mmpretrain/models/necks/itpn_neck.py sha256=gPMCIduBrB1RnIh0MJK5_JxCU9lGz_Y5IB392vYs668 14481
mmpretrain/models/necks/linear_neck.py sha256=35sTlURoKQCR1vsjw41UFNZbbJN13HZGV-9Vp_ucx4k 3100
mmpretrain/models/necks/mae_neck.py sha256=-4Hq99NJBraVyZb85WP_47rZeOCcFQLhrFZe8x-RK5U 6939
mmpretrain/models/necks/milan_neck.py sha256=_Lbo5_ghS1n8AQrqg86NU4pnZvzRxqrv_ZKCQv7Il-I 8577
mmpretrain/models/necks/mixmim_neck.py sha256=zivyHJkkLk_dwmD_JNGClQt6Y50mIi9MLg1mG-LrbpQ 3990
mmpretrain/models/necks/mocov2_neck.py sha256=4REkG6xfcQYsTG36T0u0OHHLeBirWeVqorOcREcLuNs 1723
mmpretrain/models/necks/nonlinear_neck.py sha256=NcNT1M5VFtymX2U5OQK7iHOw1SZMl0SHKgUqbhFZoCk 4346
mmpretrain/models/necks/simmim_neck.py sha256=5-aA0Uv6aTi9vbA5D94e4tG-npQNkR3_Qv0ffBs3zwk 971
mmpretrain/models/necks/spark_neck.py sha256=iEXJSPcSSobZ2XvK7ZLEtNSiD3Qz5OWy-lKmvTZ0wiQ 5967
mmpretrain/models/necks/swav_neck.py sha256=1ZCX0lCOskdwy_Udvk-BmDJR2yDTJ2OMUZDvXm_Tjds 3143
mmpretrain/models/peft/__init__.py sha256=t19x4IMH3vJCYwNQXjhxumwSZlaxr7G7CCKwN544kks 108
mmpretrain/models/peft/lora.py sha256=OvelGkHdRO42veM0HJeceaoTpJUokiOtbeYUMcBM7QE 7471
mmpretrain/models/retrievers/__init__.py sha256=A9qddNuiNbceo7SGYctpMunvZB7SjuZOzCsd-mYWlxw 181
mmpretrain/models/retrievers/base.py sha256=HB1M5BOoX888VxCOy54Iq6bq5TOJ8uU0lF_M7ytk7lI 5857
mmpretrain/models/retrievers/image2image.py sha256=Teqg2jgzz7saLoZex16TSeeUk8XF9t7ZaD6cTRZbwN8 12813
mmpretrain/models/selfsup/__init__.py sha256=8DSJdA6tmpkC8R293fzudNqTIVIev4yQooTvwD_VHyw 1356
mmpretrain/models/selfsup/barlowtwins.py sha256=addZ2aXrHFgjoX6QX6VkYovh0P8NTwd3-at1oHjiL1k 1317
mmpretrain/models/selfsup/base.py sha256=jyGLCyxtaHfMDdsWX637cxWHDHzfVbw6zofNUVndJhk 7191
mmpretrain/models/selfsup/beit.py sha256=llfy9uQGmuUjCjF0EqPBgpwq1_rCaClGsbjpMajxSKs 14523
mmpretrain/models/selfsup/byol.py sha256=r_bDa2lsEAYWkmPes-rZMdRr7SQcrhZsgerIt91riBM 3339
mmpretrain/models/selfsup/cae.py sha256=_5qYcM0GtfPUFZE-bKWBv7K6XkQlTjwnIauxaV0pkuQ 18944
mmpretrain/models/selfsup/densecl.py sha256=kt8Rak24H0j9UiDfPWKtgLF6S3c5IwQYCOKfvUYvZdM 7932
mmpretrain/models/selfsup/eva.py sha256=K480yDXL50vIBdnNzGVTrfBQ2n1RaeBmrEVrW6sZU28 1304
mmpretrain/models/selfsup/itpn.py sha256=NPxSXKswgKICY19DxYQJuUPnb2ikUFvyaVCx4OWYank 13359
mmpretrain/models/selfsup/mae.py sha256=lALgLm1j_1YDce4l2Mn3H8GY6OOpzSiWF575RZnvwOI 16222
mmpretrain/models/selfsup/maskfeat.py sha256=kSUYlYJZrLlBqJVFVlXR7ji9ThNh42Ceofpwk1xif3s 13334
mmpretrain/models/selfsup/mff.py sha256=760Hp96oV6AO-VYBC0fO0I0sjVAICddjZ8SzkJV1w30 7722
mmpretrain/models/selfsup/milan.py sha256=IEqjMRY2Q9v-llUlvDgThlqMHh39sVKu1u9vpnknBt8 7684
mmpretrain/models/selfsup/mixmim.py sha256=vJiyLj_aJRrTMN-kR6Cdl-A--XSo8r6z9TSm-AfGEcM 10167
mmpretrain/models/selfsup/moco.py sha256=wEWW2FP20OZ0d3xGyr1wJa3lVmsYSbebCrlpvqV5f8U 5102
mmpretrain/models/selfsup/mocov3.py sha256=8Y_FVq8FRaTnF_6ZJSCYPHgEX45m4XYN9bM5VitefBg 8209
mmpretrain/models/selfsup/simclr.py sha256=6ChZj7iBHbGlIfvei_0H6oyU8mOqzAxwVv0FRahcIqY 3513
mmpretrain/models/selfsup/simmim.py sha256=S5Ljnu_AG-0XaUS6Q2zMM_j3vT64RWpkYiL6EXYs6Ps 7399
mmpretrain/models/selfsup/simsiam.py sha256=qvqKdvzBFS4lait1Nzr-Atr2jJH0kknB6eAI9HT4cJ4 1334
mmpretrain/models/selfsup/spark.py sha256=TxEtis5ka5ORLQ0nc5b8zjQJVF8pB8Ea-zcRJjwN0to 6079
mmpretrain/models/selfsup/swav.py sha256=vMAb-1kNuuvXijBnIIhvr6XtMNrwdvrFeQhC9Iok4M0 1570
mmpretrain/models/tta/__init__.py sha256=EtNkW0w-8pTK6XNUWm_IVskZw2Q7Wph4F9Olwy38ci4 124
mmpretrain/models/tta/score_tta.py sha256=agENDstTeIVXAjr202prixWu2R14oZAJymXe_ThbdH4 1182
mmpretrain/models/utils/__init__.py sha256=Ah3xClFOCdmFvk8tKKAwuZEAAIth0Wfxtnzw89usQAc 3670
mmpretrain/models/utils/attention.py sha256=naFctZCtTl6n2t7kBTKK5u-JCzN4NgFDp8WizTs_c6Q 45478
mmpretrain/models/utils/batch_shuffle.py sha256=ppYGEqYs3iLBmLI2anj3gz6LV6zr_d4oZ0lsGp-boUY 1801
mmpretrain/models/utils/box_utils.py sha256=VZZXoE7CO5guC1KhkKqiyCyHaGoU60gUbVyrQrnnXCM 1722
mmpretrain/models/utils/channel_shuffle.py sha256=fIoN1kuE5gsSHwh363tErwCOd-RvsV_QrcNhoHZM3uE 889
mmpretrain/models/utils/clip_generator_helper.py sha256=8JrLjheZ3eoGJiSmga-pkmzqw2ZlcaUhm8F-k1cDBpI 13411
mmpretrain/models/utils/data_preprocessor.py sha256=jAU-4dfFVUOGggA2eotzaOm4iqH9jihVac4BslTLAh0 25992
mmpretrain/models/utils/ema.py sha256=ctgmscnfoR1rUnSdY4kicUBfLQ1f_gAA-cX6xYhwHqg 3351
mmpretrain/models/utils/embed.py sha256=aBfLE46zIK1J7cqJjZZKCo6aLsT2cl-rbpD5yGx-N3E 15753
mmpretrain/models/utils/helpers.py sha256=fxA8CSwyhNql2U75e8cM75PSw-rEgtitUPMvevoUVg0 1518
mmpretrain/models/utils/huggingface.py sha256=lQOX07pB8CXKmirjM3JytFmL864_QHo_UPAGb3gLXj0 3325
mmpretrain/models/utils/inverted_residual.py sha256=zCys6zdAP3gzetKxp-OmdEKCQmtOSts6oFiuhAZczHA 4173
mmpretrain/models/utils/layer_scale.py sha256=_EE0VA3HJ2LjLeGE7v1qS8djZm3yEKQ-UAIARsNa19U 1514
mmpretrain/models/utils/make_divisible.py sha256=VB4oJOApdzaM-Vd2in70N7Cq3RPVueyYueZossdxk34 1046
mmpretrain/models/utils/norm.py sha256=DhZzIc7ENEI0459AngraYkA9XP0aSl4P4-OpTATDCY4 4944
mmpretrain/models/utils/position_encoding.py sha256=Sgsb2nDIMSZ9gYKdltafgShKG5TCcNx0wrpoHzHwox4 8826
mmpretrain/models/utils/res_layer_extra_norm.py sha256=xLvi7HIUYaOvTBUHXWWYYMb0NHlW74mQqGpoY0LSFYo 1019
mmpretrain/models/utils/se_layer.py sha256=xY2ZgNAwJMVSdg0KF9k37NBDkA4aCl5VGrlisNOjfP8 3242
mmpretrain/models/utils/sparse_modules.py sha256=KS8cSHnGy_g8aIw5y2k982xMBhszN0UCQlWkf9ZZVNg 5428
mmpretrain/models/utils/swiglu_ffn.py sha256=M6nKsp1V5NCPe2HZZtdu2Rnh9gX_Q7-wgHwCn-I3Zc8 3121
mmpretrain/models/utils/tokenizer.py sha256=zW8-JGNSrbWZPiusBR3iCjf_dTwysqP1c6b8bRBCNOc 6226
mmpretrain/models/utils/vector_quantizer.py sha256=fgjxLi4-AKOeXnHdm8paSoOeS1Y2vFkpbahq-BFlQ2U 8614
mmpretrain/models/utils/batch_augments/__init__.py sha256=lrEaTgIujc9TJPx-jnd0krBmXoKiROR9lrKEAYVNJpg 239
mmpretrain/models/utils/batch_augments/cutmix.py sha256=YCFmE7lQYAXt6aPxsTT88fedUn2xmoH4LgpfV93yGOA 6451
mmpretrain/models/utils/batch_augments/mixup.py sha256=D5ubJE3xUEzwKDlAgR469BgpHnuGLuO8w6tshAz2Fb4 2345
mmpretrain/models/utils/batch_augments/resizemix.py sha256=QTQkCjYSoaAWUt4g5rRleroq_KF297-9J3noe9sNjYU 3920
mmpretrain/models/utils/batch_augments/wrapper.py sha256=ANjLQq8fMCQSSl8B-5qH1Oqmc0oefLKxcDXK2piD0qo 2598
mmpretrain/structures/__init__.py sha256=5LIcFk2-ZCHOZ-dzDXguidPQowjEw7q4EkxBhSkUx3s 451
mmpretrain/structures/data_sample.py sha256=LhozneTeOWXOqUxtI3s02c3f6P6hV0ykvMQsWcWbX1U 6011
mmpretrain/structures/multi_task_data_sample.py sha256=3cnZn2ohRMoQfGTeG3rMDbU5TkZDVSrM1eIo4UNQSaQ 212
mmpretrain/structures/utils.py sha256=pZgyKmYX7Ykv3p2i9WW0xmZAvYhzNpA0CsNnd6wXXKA 4930
mmpretrain/utils/__init__.py sha256=caAnBpnn641qOaMWCeGKvCk2ntnMdsqmjsXA7HEzuhE 419
mmpretrain/utils/analyze.py sha256=8WEx1eGTZ9eWJpcoeRPnvMEIs47NU_A4Oi2LYWxKH_Y 1305
mmpretrain/utils/collect_env.py sha256=cs33H2R-E817XcBKkimtt8t7qJFfXk50v2QxFLTroBk 561
mmpretrain/utils/dependency.py sha256=uzxDbLdOVmCUoM-DsDK8WmI7ctDkzjlXMtGBFWp7JLg 2375
mmpretrain/utils/misc.py sha256=Ulv_ed6j64UbJB7HPoTurdHEUS1xRqHM4H9Q8gSV-eo 466
mmpretrain/utils/progress.py sha256=stsA668GmZJ5D8FfBinfbBdknJIet8ewwYt0PJetbZc 1382
mmpretrain/utils/setup_env.py sha256=LGjRHl02u2ViwFkQqMnty0_HkC9EW1q26u5X2H0V-vI 1765
mmpretrain/visualization/__init__.py sha256=TDEQChULnRv_P5CpIELACKz_00s7JHppDO8qlDjOou4 219
mmpretrain/visualization/utils.py sha256=BPdlD-Vvt2DpyytbJ0uPgD2dYRPS0UVIGdJvT5yVZEA 2061
mmpretrain/visualization/visualizer.py sha256=VCujuCoeFi2KPWVOzpo_nmr3_4sjQ1uDeSSNrRfFWpU 33454
mmpretrain-1.2.0.dist-info/LICENSE sha256=_8dIPESkQfnAm43yXR28uOJmdQBydxsy0IoJcPuMLo0 11395
mmpretrain-1.2.0.dist-info/METADATA sha256=U9eLcU9aneZsBZrS05thIaGinDyFeJYQynlvqE_IgUg 20341
mmpretrain-1.2.0.dist-info/WHEEL sha256=-G_t0oGuE7UD0DrSpVZnq1hHMBV9DD2XkS5v7XpmTnk 110
mmpretrain-1.2.0.dist-info/top_level.txt sha256=Pcs0EOWDWOgsQwOqdDPX26V5jkbxvLEfxttjDiJ7zzg 11
mmpretrain-1.2.0.dist-info/RECORD

top_level.txt

mmpretrain