whitebox-adversarial-toolbox

View on PyPIReverse Dependencies (0)

0.2.3 whitebox_adversarial_toolbox-0.2.3-py3-none-any.whl

Wheel Details

Project: whitebox-adversarial-toolbox
Version: 0.2.3
Filename: whitebox_adversarial_toolbox-0.2.3-py3-none-any.whl
Download: [link]
Size: 195774
MD5: cec598d977da767ec66d46e89fbb508a
SHA256: 81cf516460273b5014f22de8e173e03a333a194389617deb3fb1fe848019705e
Uploaded: 2024-05-24 20:30:28 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: whitebox-adversarial-toolbox
Version: 0.2.3
Summary: WHite-box Adversarial Toolbox (WHAT) - Python Library for Deep Learning Security
Author: wuhanstudio
Author-Email: wuhanstudio <wuhanstudios[at]gmail.com>
Maintainer: wuhanstudio
Maintainer-Email: wuhanstudio <wuhanstudios[at]gmail.com>
Home-Page: https://github.com/wuhanstudio/whitebox-adversarial-toolbox
Project-Url: Homepage, https://github.com/wuhanstudio/whitebox-adversarial-toolbox
Project-Url: Bug Tracker, https://github.com/wuhanstudio/whitebox-adversarial-toolbox/issues
License: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Requires-Dist: numpy (>=1.18.0)
Requires-Dist: tqdm
Requires-Dist: six
Requires-Dist: setuptools
Requires-Dist: torch (==1.11.0)
Requires-Dist: torchvision
Requires-Dist: opencv-python
Requires-Dist: scikit-image
Requires-Dist: tensorflow (==2.4.0)
Requires-Dist: keras (==2.4.3)
Requires-Dist: h5py (==2.10.0)
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: click
Requires-Dist: progressbar
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3737 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
what/__init__.py sha256=wWG37kulxtClh__jD82Xcd6GhzJxULgm7TsLnIzM34U 4966
what/__main__.py sha256=jOXp3WHuvRwsGv0b71ODWvxsOb0w4h4zkM4IwTeZrAI 31
what/_main.py sha256=SuZEY7rg-TaKw0PmgwC6N4KxnXyn5PQOWAzShcFZfZs 4345
what/attacks/__init__.py sha256=_bg5FTzYs-YaBQmRQ9hAYr2_YmEKxmH3cUrVbElraAQ 634
what/attacks/detection/__init__.py sha256=I-lG9gP3WYF6BClur8IyZwVuBE1qjknpES9ihTKqWc0 119
what/attacks/detection/yolo/PCB.py sha256=RQtIMVtJPkbJsd1Z_Cf8AV3NoCHU3hjJutWXvV-HwM0 3521
what/attacks/detection/yolo/TOG.py sha256=g14tBSC155Bo8sL6RLknqDuVz8Fm_9vaQCF4nYSkay4 3463
what/attacks/detection/yolo/__init__.py sha256=my1LX_ehWohjS3GBiIpaQP03lUGWi9z_luKccp7BxAM 399
what/cli/__init__.py sha256=GLA7jZuVL__spqqm6wo8LmE0OajNItXMuHz1QmQBrdg 190
what/cli/attack.py sha256=QZWVrEVs7dhdzND9JujYwztFnGlWsdGybd0hokoYkZY 308
what/cli/example.py sha256=eEoC3zevdL3kKdwn8NQ4ijLb43HkrNg4Low3vRhgrHc 1388
what/cli/model.py sha256=LYPdhoQ_v94YO2P6yCHc_bsaTam5T6FUPOJcEVsadkQ 3899
what/examples/__init__.py sha256=yoW6gyXKyMgjqtmtl0WbvzgtG9GldakYbnF1BlKOtwQ 1562
what/examples/faster_rcnn_demo.py sha256=VAHN6qiQrpY4QcV4BfEHQmkaTGAJB02_DLjI3V_p1W8 2770
what/examples/mobilenet_ssd_demo.py sha256=qlWKjptGRB5kd5I-29inwWc9zPGH4cWwvtVf0CFNl94 3451
what/examples/yolov3_demo.py sha256=tsZj4OVj7bj0tbQfyRpX6JQSS7GwDilX8pny8qK6xkk 3116
what/examples/yolov3_pcb_attack_demo.py sha256=OjxEl1OfF8BIAckpbC5zEb86XNZawdaEbjbL7X-ifI8 4377
what/examples/yolov3_tog_attack_demo.py sha256=XeQuXLADlVZb8w0cAQHmqvIx5IeP-J_l8pOM7eTtJlk 4237
what/examples/yolov4_demo.py sha256=K7mPAyyY6D-49uMypSDYTcTrH0I8AVeh8MxGQXv23g8 3088
what/examples/yolox_demo.py sha256=ssiV8uWPrjpNOmOxAobz4D1ccsR1dl57xRKAK7u-Auo 3464
what/models/__init__.py sha256=Ps7EhrzIuhM4-4COjTdksl3j94GeFYT1Wj5gAAeZSPo 1710
what/models/detection/__init__.py sha256=wqotNonNSoJmesYAUeUSDzGFRfMIoZbmbRs_foun97A 381
what/models/detection/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/datasets/coco.py sha256=wRNO3AnAsziB1d5YO72QbEoiV8SVpT8kOljoWAkiWCI 2466
what/models/detection/datasets/fiftyone.py sha256=M27utS_Wl-Tl_Pkzg_8Y1QCDh37pgy4Y3g3hffsTePA 2664
what/models/detection/datasets/open_images.py sha256=e8dciHkQJ-s9zLcgXwsRIVcoQHdNLj4NRa5woT__baM 4823
what/models/detection/datasets/voc.py sha256=N4vde_KV_ZEDSVZ4AM_Ik819ukUJ75b9xENqeAqO4uI 5154
what/models/detection/frcnn/__init__.py sha256=j-jcH6trzo_eS7uf2i_GZRazb3Ds4bbI2QE2lLS7k4c 213
what/models/detection/frcnn/faster_rcnn.py sha256=-g7Cc6oQirHHbvZKDrbZadiApEGMaWLFZhdsdje-RhA 10716
what/models/detection/frcnn/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/frcnn/datasets/dataset.py sha256=ZVMsOdXx-yfxb-8ZApkbZxVXFuN1HCAlE4kzJgeM0wc 3936
what/models/detection/frcnn/datasets/util.py sha256=OdO0MY0EpYlYuI6ditCjJyI4mWlx8YKfMmBWkCPiL2o 9989
what/models/detection/frcnn/datasets/voc_dataset.py sha256=XvF-dZ13iaKWZl5e-s0q-PpaRoxQDKwtRvOOVJFuzBc 5592
what/models/detection/frcnn/meter/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/frcnn/meter/averagevalue_meter.py sha256=19DQgj_060hIm36E8v5Z6q7qQUcPWJ_zP4E_dqgQYzE 1188
what/models/detection/frcnn/meter/confusion_meter.py sha256=ZqR6z-YFU2m-kHhIfigo8JpmNHDMLwrE2By6ff05hzg 3353
what/models/detection/frcnn/meter/meter.py sha256=tmvcHh-4VEb4NquYG1rNJWHPuaTXSZdsp0Mknh_h1U0 544
what/models/detection/frcnn/model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/frcnn/model/faster_rcnn_model.py sha256=JBFypgrkKa_iCUYygrChpcRCtbMwlPi5YajQ3ZlX8tQ 12038
what/models/detection/frcnn/model/faster_rcnn_vgg16.py sha256=dIDEa6uVCFzq6v_6ViE6oeO_chsVXK6WCLPplWvjEpM 5507
what/models/detection/frcnn/model/region_proposal_network.py sha256=WnzvRR0qn41aEi815ByggHVfJTiDyMJFSeB5t6yHxjw 7975
what/models/detection/frcnn/model/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/frcnn/model/utils/bbox_tools.py sha256=OQ9yq79jJyFKo_GygKATQ1BQGW5QwrO4vnathvrcpzU 8810
what/models/detection/frcnn/model/utils/creator_tool.py sha256=oe1iYK0Wj2cDZO_WSlOfU9EGX-3mg8SAC6RzCoamzoM 16788
what/models/detection/frcnn/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/frcnn/utils/config.py sha256=bSG1yaf8_Dwoh31O5xMqcvjHm3L-PuIr8nN6jbyWoTc 1712
what/models/detection/frcnn/utils/eval_tool.py sha256=S2Zp_MhWzC3UxBQ8bfdhL1IyM4mJKH0e40eJKjMpcc4 12665
what/models/detection/ssd/__init__.py sha256=ZocSL-rwAcQ4p0U-7hELCgPGS4WrWXKZ_VTFXprD1Zs 374
what/models/detection/ssd/mobilenet_v1_ssd.py sha256=h8bHa2tuLy5hfZlNYJny4uPAP5WuABrd-KLigzALZhs 7597
what/models/detection/ssd/mobilenet_v2_ssd_lite.py sha256=vTFn6Zg60J8040nyAdHjnc5xr-XC1VmSWv9baCvwxNE 7730
what/models/detection/ssd/nn/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/ssd/nn/mobilenet_v1.py sha256=vAMvCKg8ZX1aG-jeYUaKkBUeHqvA1I51eRqGEt3pjDE 1673
what/models/detection/ssd/nn/mobilenet_v2.py sha256=VVsPc2dL0Hrdow7RhvaPylTemx10rLaz8uB2BHLwLoo 6607
what/models/detection/ssd/nn/mobilenet_v3.py sha256=AqBlFQlOS7zFmPqgTJPz8692MUZPsH6kDArs1oZsh2M 8233
what/models/detection/ssd/nn/squeezenet.py sha256=euKcU0R2-wMAdMKoKQvrLmGRzSkhsgMpu0tKYTQM4eA 4876
what/models/detection/ssd/ssd/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/ssd/ssd/mobilenet_ssd_config.py sha256=IoEK7PL3L0u5ntgdb146QDCizQd8zWeetfd90RZU-3c 624
what/models/detection/ssd/ssd/mobilenet_v1_ssd_create.py sha256=COXU5ijOVsJcDweK3sRPYJHyRM5DX5-AuOgPxDctwd4 3183
what/models/detection/ssd/ssd/mobilenet_v1_ssd_lite_create.py sha256=6TwyXWwE3B7c7BJ4NbXTefKiKEB8SRxdoBvovOc2pcM 3607
what/models/detection/ssd/ssd/mobilenet_v2_ssd_lite_create.py sha256=bU-5i6rToB1TkpoPq1hb1676SaOdw8mbcGBmjcGhlRc 3500
what/models/detection/ssd/ssd/mobilenet_v3_ssd_lite_create.py sha256=cIm4l_D5Cbf3JTSuV8i8a0vyfOVg2FvFG-cL3wTajIQ 5319
what/models/detection/ssd/ssd/multibox_loss.py sha256=htsWpouJrjf2VGffQnyBvmQLxX55sjhiM4aNmwrrG_U 1966
what/models/detection/ssd/ssd/predictor.py sha256=awta6034qRqeYoUOUF0lLcJsKJIKa_mEsBOXXXKOpWY 3150
what/models/detection/ssd/ssd/preprocessing.py sha256=6Iuvnu7jS70Kpft2uFqzxxZ5j4nmsVBMkLKfQLVtXI4 1773
what/models/detection/ssd/ssd/squeezenet_ssd_config.py sha256=daXo9WNRD3a_PmvFxwhge_wYIUnNtNoMJYmTJ9p_Ml8 617
what/models/detection/ssd/ssd/squeezenet_ssd_lite_create.py sha256=-fImZOja77sP-sd34kAIRL_vVzXuZnQfYugMX6RN6i4 3817
what/models/detection/ssd/ssd/ssd.py sha256=Plair8gH5tRv_XOAv0aoQQzAQrWfl13alSeUlbkTn4o 7027
what/models/detection/ssd/transforms/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/ssd/transforms/transforms.py sha256=R9QlWUZBNv3rNbsmxaG5haVoab3FOV_lESWlRtghqnU 13325
what/models/detection/ssd/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/ssd/utils/box_utils.py sha256=wKqA2_XlBUKXBsgB4hROi6ezVAv9tdSP7kE6H1vfWD8 10937
what/models/detection/ssd/utils/misc.py sha256=ntyOSTaxwpEtszla4OhUWhPKQDxQIGwHFIdbhJPhths 535
what/models/detection/utils/__init__.py sha256=If0nXnpKwNiRyzjxHNqbeuroEwXtb6qtNhA4VkZTo_E 153
what/models/detection/utils/array_utils.py sha256=pB5GfJOZ6YLLBHIjzMoJGiYd-paU7foUpKuYRAWJ-g4 589
what/models/detection/utils/box_utils.py sha256=740HeQSrkicbWpEkP6-ESOgYoQo1OejWR3bDTKx4IGA 1342
what/models/detection/utils/time_utils.py sha256=nm0cuebUZmFZpRwL6VXERdfTl980WGao8lgPU4eDECQ 403
what/models/detection/yolo/__init__.py sha256=ZTPDhFBM5sMmzk2SEabFUYpLM3JM_L9EAvzo9LbmbUA 525
what/models/detection/yolo/yolov3.py sha256=0C55TbUHD3rFDTRT3wJ1iSwQHWfzNcJdOB_3aNalco8 896
what/models/detection/yolo/yolov3_tiny.py sha256=pI8s3FzK1whtDIX7pbMpPnPb8BWVU2pGHDDTTebrug4 911
what/models/detection/yolo/yolov4.py sha256=WpJRssrGitFRvhx6DCmwtKQaUnMY4XNMH4o17mPgN3Y 1066
what/models/detection/yolo/yolov4_tiny.py sha256=7pqddpSBfzSl-61WXWLKb7mh1WZkLHwZKY7v-AGvB5E 1101
what/models/detection/yolo/utils/__init__.py sha256=5xxCHo4BhJUUlpBJedfoGFBwi-3hOXJZus9OK0o2Qh4 55
what/models/detection/yolo/utils/yolo_utils.py sha256=z3TFH8R7Z-20JYo0OmLLwLAihTB1-SX30dHdy42IXwk 3470
what/models/detection/yolox/__init__.py sha256=GfiVexIhovZPjpt8jA5rQH4UB841qKfqCpthVNE4cuM 509
what/models/detection/yolox/predictor.py sha256=JLdKi2ZqL3s2t0gmULBi7lA-gJP9u4_DayZoSu25vnU 1756
what/models/detection/yolox/yolox_l.py sha256=xHdzzVDbmzaE-xIP4ri6Ysn0A80xL7J9ccsC1OU6GN8 1756
what/models/detection/yolox/yolox_m.py sha256=7fjl95ECbdONbXVL_2CKpLm6D48SD9oSRHrVeApH2v8 1756
what/models/detection/yolox/yolox_s.py sha256=BjhgzGdzqGQD5utNlFmO7Au8iqolcoDZFeDEu6heEbc 1756
what/models/detection/yolox/yolox_x.py sha256=1v_JkhBM6qiVvGXD6Fxa7t8nLKzJnbHlhMimvyc8Dbk 1756
what/models/detection/yolox/core/__init__.py sha256=S1aI2luYeKi6b94LW1zytfo5NACpCuV2-4D3YhR5G8U 152
what/models/detection/yolox/core/launch.py sha256=mL27fvLgQHDBjCogoxgJXgWCe8w337bVHDG8AD4Pn_Q 4387
what/models/detection/yolox/core/trainer.py sha256=FIygjQ5py3mbEfElCT4bP9FQ0SHgyCtsL3STGWSsaaY 13707
what/models/detection/yolox/data/__init__.py sha256=OX3JmeCUYgqevMTIdVRSITiupEmpjDvItVY4Q1MLT0c 354
what/models/detection/yolox/data/data_augment.py sha256=646Kb4rZBiaz92vYowguMn0cFWAVW3_5jsA8gXtdmX4 7382
what/models/detection/yolox/data/data_prefetcher.py sha256=N_MEABfi2s5DByqhTqNFep03TIJaQ8wCwJ9voO5XaUI 1649
what/models/detection/yolox/data/dataloading.py sha256=FsbRWejeqGkJyNNlTGAQobrTyj9ag-hQj_S0UAKJOus 3671
what/models/detection/yolox/data/samplers.py sha256=W1I9s1BEkYHGO7Ubb0z9HxDgjFDvNjUB_IbzpS4DPHQ 2854
what/models/detection/yolox/data/datasets/__init__.py sha256=gk4UJlL8aa4KYNnp8uwlp81lV-dEM8sb1tWjzQ9Mwy8 325
what/models/detection/yolox/data/datasets/coco.py sha256=d2PMNGUi3MKPokZ9YQAYv3fwxRumONBXT0H_9sx_axc 6363
what/models/detection/yolox/data/datasets/coco_classes.py sha256=s4GTxIGnPx9nTO2rnlUbFbObGnqu0-CeFlBTYsxUrVE 1296
what/models/detection/yolox/data/datasets/datasets_wrapper.py sha256=fDeq0l1oAzptYSuoAmpSyLOIjJrclR9JYxcjftiyicE 10878
what/models/detection/yolox/data/datasets/mosaicdetection.py sha256=6E1xANB01-IJ1r77tQg2rA10NZ4ODuHWjnp-_yvpYmI 9595
what/models/detection/yolox/data/datasets/voc.py sha256=gj5Uw14VZDseKB40RtDkEP0bMhXCMxTYxNSp1_wJ7Wg 11968
what/models/detection/yolox/data/datasets/voc_classes.py sha256=xhG2JYVKLNA38fU7lsw9PvAcfqfygTAp3cYyggGeWXI 442
what/models/detection/yolox/evaluators/__init__.py sha256=U0tRC0fSNoM7caQghtqrpW05JJuzpjTRUUCVrMN0R6Q 178
what/models/detection/yolox/evaluators/coco_evaluator.py sha256=WwN5tS8SZuL17fjnGSU9N1a2SEhNMMrWZ_mb4-sBDpk 11511
what/models/detection/yolox/evaluators/voc_eval.py sha256=DJnb4X4WCacXln_6hz63azxUXIwc7MHo40fIKQW0g2M 5631
what/models/detection/yolox/evaluators/voc_evaluator.py sha256=p06elF649wtndkHL6RowHfwIvbdJGPyQEnecFBqvf-I 6586
what/models/detection/yolox/exp/__init__.py sha256=2bPP0I3w8nI1nnL3ZT24jqCzXSJII9Drxgrms_YpKBg 175
what/models/detection/yolox/exp/base_exp.py sha256=JvuoY1ov_tmjEeXe9LBTOWJUh_8sA_hhnEEpBrWkPCw 2622
what/models/detection/yolox/exp/build.py sha256=LEebVAsjpfUb1ckr-Z7Vd80gOFdl8KvoKE5_218yAhw 1269
what/models/detection/yolox/exp/yolox_base.py sha256=XxJCLgFuhtEK_lOUA1JQCBSXfsEf_qnmXjCIC0TzH5c 13633
what/models/detection/yolox/exp/default/__init__.py sha256=35j76wJ9g3iSgyBZu3JMCybKJo2_86Fu4YEezEyuQvs 1005
what/models/detection/yolox/exps/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
what/models/detection/yolox/exps/default/__init__.py sha256=G_SRYxMk69Pprvwez5astCZqMghyh56hcN18Fzc2xDA 95
what/models/detection/yolox/exps/default/yolov3.py sha256=cqIBYfHQyoG4oGP6JxV_dzN4YCTKNAGlI68uiZK8fB8 1020
what/models/detection/yolox/exps/default/yolox_l.py sha256=WQ-YlvcJsZ-QaM5-u1PmZySvqd8USHbcpKMZ62uifaY 377
what/models/detection/yolox/exps/default/yolox_m.py sha256=bQhPvBuZZadAWAUsE0lvQOvm1LOgaCwk-JD9i7jq6DM 379
what/models/detection/yolox/exps/default/yolox_nano.py sha256=JwU3zhq0I28I3UHnokxxpUZWQ8KCbElaPZcdFiKZtSM 1539
what/models/detection/yolox/exps/default/yolox_s.py sha256=NmsqKNXuZaegsjtryiKKi8PkDS1dmSVMfciHJ-zFD70 379
what/models/detection/yolox/exps/default/yolox_tiny.py sha256=GT7vM23vYCvpOINuHFQqg8S1b5htFA8GnrvMxJe8iuw 562
what/models/detection/yolox/exps/default/yolox_x.py sha256=OByZA0YuRfQGxnn3-4hWEoFZn0Ggj9M_r1tX9h1KkFk 379
what/models/detection/yolox/layers/__init__.py sha256=IBPjTu6bllFO4Q-JyQDCMyUciFRkGWiT6_YS6t8piG0 385
what/models/detection/yolox/layers/fast_coco_eval_api.py sha256=CKZ-f4oK-Pj-CoZDbJW9VpVIOoguQ1ShmUrmMFTdIU4 5795
what/models/detection/yolox/layers/jit_ops.py sha256=tj4PfOFcpz5Hc-oyqnq4XCQbOjFjdVoUdDVd7htHvzw 4462
what/models/detection/yolox/models/__init__.py sha256=jiRCv0xJPbcb1uhy84QVKk-0x2riUstDAFOA9Yx6hnI 308
what/models/detection/yolox/models/build.py sha256=tU1tJmynzlaHj3ZAfUgIZGqwGWKZoBV-_TIrb5jYqBQ 4266
what/models/detection/yolox/models/darknet.py sha256=NoydtFFm6GNpHPdGCzFNBHko-Q6HRMSSpnO27_m4CfM 6019
what/models/detection/yolox/models/losses.py sha256=f6aF-0ZTuradWIDD90nt64pMq_5x-t8KzFFRwuqnVwI 1677
what/models/detection/yolox/models/network_blocks.py sha256=9JAkCmdHmfG1SKxMpXHH8-WdTnXv7o6-seJObk4Q0qQ 6092
what/models/detection/yolox/models/yolo_fpn.py sha256=qShIiNNd1pxXecdpfw2XuCki7RHmMqdBvcIM4bgz1Ls 2476
what/models/detection/yolox/models/yolo_head.py sha256=PyXmgphy6-_WhZ5zRIaEgiNBOFF1xqM0QKD34PHJH84 23963
what/models/detection/yolox/models/yolo_pafpn.py sha256=hXGvVX9sqs2mHlSBO-S-LXPEoIieH4duxVhgV-su694 3530
what/models/detection/yolox/models/yolox.py sha256=n46vdtLCQ2J-h125tSLPHP3cDNzyKUAFUPdhAsznQeM 1542
what/models/detection/yolox/tools/__init__.py sha256=Y7xP3yGlX-i2m1PFnx_me5tA9Y9QvTOrE4VU2P-1c-c 966
what/models/detection/yolox/utils/__init__.py sha256=uqXQN-eW4VLQYnT3v2ehBZhzUMoZCHgD2G1CSrbe-LU 452
what/models/detection/yolox/utils/allreduce_norm.py sha256=z1k0-u_itGxTHpSO1dvMOSMDBSLVERUPgaJi2SUn2-Q 2835
what/models/detection/yolox/utils/boxes.py sha256=Vk_BYFsU6-dBTEL3CYrbcGR-J_PXlt-NxGEXleeOOoY 4712
what/models/detection/yolox/utils/checkpoint.py sha256=RdsExxMOI0U3sR3RqH0-QTIEZvYWGhyU0ma-3vlODHw 1312
what/models/detection/yolox/utils/compat.py sha256=qPDeyeBWbPCgmiEbwIzke8er1t110jnuhdjAxf4-B84 310
what/models/detection/yolox/utils/demo_utils.py sha256=4dbh0mNpGsFf2qT4ke-oNwfaSvD9iVvhIkWRBd8-5gE 5101
what/models/detection/yolox/utils/dist.py sha256=AqUHh8TuD2loOSd2Mm_GlCHj61wmKlrtuRlWBtd8FQU 8062
what/models/detection/yolox/utils/ema.py sha256=FDIU-3eYZsuwC1eNIHi1yHCiPJ9FtUV4xcbqxHEM9io 2073
what/models/detection/yolox/utils/logger.py sha256=F155MxW8p7NeCo3gFxGmIBazM24xywbtlp5Beyt8nyE 14636
what/models/detection/yolox/utils/lr_scheduler.py sha256=oRMe3dU5hnDPNbDdf3BTx6ko1Qeqxm9isGqvASNMbcA 6551
what/models/detection/yolox/utils/metric.py sha256=pxxvG9ZTdDgZU3sCuUrAZL9DQziTEiXiiSQseRHM3so 3456
what/models/detection/yolox/utils/model_utils.py sha256=RYXdNuZdCqjFTz-tBo-tCzrJEYqeWhAdRzJUOIyOYas 5614
what/models/detection/yolox/utils/setup_env.py sha256=CdBa4qyatCIyzsvjvwGG7LiXkqFk6Vyg_LH8edf0gpY 2675
what/models/detection/yolox/utils/visualize.py sha256=RvOyoU2Dge0CLivJC1k1gAcPFBlbcxCi6SrFNuiXaA4 3599
what/utils/__init__.py sha256=lBrZXRgfUTR100roBX8zdXfC_Njnk_jvuzydnOKJ1GI 267
what/utils/file.py sha256=M-8lFG_ataL_7yV2tj95-CNzW1nK0qi0pX4nycYihDo 2397
what/utils/logger.py sha256=qIo6rgPjrBPKbakuS2Ja8zRTeuz9qo9x1LCKTA2L1ns 3522
what/utils/proj.py sha256=8JgZSgLWlIX3IBLY3x3ccGSqhTHWjsZjxcpQZbTP_7I 477
what/utils/resize.py sha256=TRe6iLI0A-f2-3tFZP-0zUz9RIM_a1PisCMQKBSZ1jo 1054
whitebox_adversarial_toolbox-0.2.3.dist-info/LICENSE sha256=nplY_a1b0L9lBfCQ5EXjSBV718KmXlY3imNvJGu846A 1063
whitebox_adversarial_toolbox-0.2.3.dist-info/METADATA sha256=xLgsQWwM5rrulBJnuOQhzM81BixyAB96WIy31it-_kU 5172
whitebox_adversarial_toolbox-0.2.3.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
whitebox_adversarial_toolbox-0.2.3.dist-info/entry_points.txt sha256=hoAN4V5eRfUaItPzDDWfJlBAOAEZZkJXoxDNengGOBM 41
whitebox_adversarial_toolbox-0.2.3.dist-info/top_level.txt sha256=p4CcGxxKqlCt-2hmCmJz3ZyNFeQYGDCPeMFY17q1ppQ 5
whitebox_adversarial_toolbox-0.2.3.dist-info/RECORD

top_level.txt

what

entry_points.txt

what = what._main:main