Wheelodex » Projects » face-to-face

face-to-face

View on PyPI — Reverse Dependencies (0)

0.4.1 face_to_face-0.4.1-py3-none-any.whl

Wheel Details

Project: face-to-face
Version: 0.4.1
Filename: face_to_face-0.4.1-py3-none-any.whl
Download: [link]
Size: 56266
MD5: b39c77aaf3ea009ea85763c69f9c5582
SHA256: 9107e9fb3362955889a6c8302d06988c89f0ba2ce6f830487c6a291cf708988e
Uploaded: 2023-11-15 01:50:44 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: face-to-face
Version: 0.4.1
Summary: face-to-face is a library for easy-to-use human face related trained models.
Author: face-to-face team
Author-Email: kynk94[at]naver.com
Home-Page: https://github.com/kynk94/face-to-face
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Requires-Dist: ninja
Requires-Dist: onnxruntime-gpu
Requires-Dist: Pillow
Requires-Dist: tqdm
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
f2f/__init__.py sha256=Yqjv_OK7qKd8BJAie3WLgtqmeZIs3PwzzpPDpv99t9I 270
f2f/__version__.py sha256=pMtTmSUht-XtbR_7Doz6bsQqopJJd8rZ8I8zy2HwwoA 22
f2f/core/__init__.py sha256=Q8-mnpsbDumcc4HV4ws2vDAEqfkbxPLOD-8p3Jo9X70 112
f2f/core/exceptions.py sha256=cF0XRUMaI7eBaNjnl_WIUhT6hLxdd-BMgv6GarL7s1U 101
f2f/core/onnx.py sha256=_p93VsjvZlIKOQZ3_1mXq-_Ir_W5s6G_icxfNytF8aU 5229
f2f/detection/__init__.py sha256=apXlyWMQYERIYAGCkpAe9t8YOpJWnHL4Wdp4JdbWjs0 227
f2f/detection/s3fd/__init__.py sha256=cSWBllq_Zie5PpybUpRqIKmOS1sGkYLKYOD7Ltq8r-s 51
f2f/detection/s3fd/model.py sha256=1CBNTMdIv6jor2vuNPwZYN8EtQAYb7YQW6-8gnFbdNw 10380
f2f/detection/s3fd/onnx.py sha256=q2o3tid8Eb08IfrxQkvEPvzKrd1UjVLrZhGtJCNtgkE 2763
f2f/detection/scrfd/__init__.py sha256=9AcGokrUygj7qg9HJI9Gcap3Gu81pR5W8_fO7rfwFXA 53
f2f/detection/scrfd/onnx.py sha256=gaq9IIy1-Tvv0p5GINn65sZjf8IpLOj2dzEaLjl_N10 6423
f2f/detection/utils/__init__.py sha256=g_1tHzeHeMui-vLK8qTjgZv9314l1UOFyh9gO_2Xn60 5621
f2f/landmark/__init__.py sha256=0cP-zrkjs6pAMI2J-2WKHqTjd4pn8-XlOGQ5yjKS1C0 388
f2f/landmark/synthetic/__init__.py sha256=WIQdl6vJyMZ_qMuVN9QBCxdxMqpUiC7ZNNE4BTt72zY 73
f2f/landmark/synthetic/model.py sha256=z4H5Zw6vDf72-uYl9vm69yZVCkA0hxYcyn6Uvrc6r8U 9150
f2f/landmark/synthetic/onnx.py sha256=kSps1yvtPNkJg9c1dhqjtPeYBJYi-MGml45_cWlHW3U 5359
f2f/mm/__init__.py sha256=FxZz4TAOEbzuNAaP_8gbUju7bMPO_K1CloiPuwmjH_s 423
f2f/mm/flame/__init__.py sha256=frVjSqkOhDGp0KBqbuCYl-dtRDO1GwTpTQvBaPkk-XQ 101
f2f/mm/flame/lbs.py sha256=X4RLovguf4xkmS3j8j9o-CxQWCF-xcW6NMLJ-HED7Aw 8326
f2f/mm/flame/model.py sha256=kwaGJzKWmSZzMXqEF5snTR7TGr-9DOAiRLz7qeDDs5w 17964
f2f/mm/flame/onnx.py sha256=f4Vo_5dpPPkf7GDatlPM0TNR7bwFRVhmBpn30i_UL_Q 6448
f2f/mm/flame/renderer.py sha256=vIWLiS3rgKYkdZFL5i9E_tbW9js7dxc8h08T9sw2eY4 6708
f2f/mm/flame/utils.py sha256=LXI22TREhlEfGS4kRxxWQpkfiCdC2DogyBBlwph5hWw 1247
f2f/mm/img2mm/__init__.py sha256=tLrgELgVoedvdu7p90YjLc-DV6Nbd5piFgNKY-TjhEg 305
f2f/mm/img2mm/deca/__init__.py sha256=yIp_H6p3oT8EIJbjFYRT2A5nI0eGRr7DWtSAI1KTZ3E 99
f2f/mm/img2mm/deca/deca.py sha256=81DDcht4vDVGasjlwUdM8LbH1K4X59E7Rrj58tW7pXs 6702
f2f/mm/img2mm/deca/emoca.py sha256=yndskBpcEXGsWjjkzVIHm80PYyILI4vH0aX0AUbcOJ8 4060
f2f/mm/img2mm/deca/mica.py sha256=66q_1aKggd2YK8NbX9oQ0pmQ97iVqdyOnwqGTqKyV9Y 3472
f2f/mm/img2mm/deca/onnx.py sha256=yLegvoJFD7pKSr2IfWwxz-1ZLyaDjLd25OQUYdlUkwA 9689
f2f/recognition/__init__.py sha256=U6zGy_r7IBFWVQqb7tSMZyzo-6rd8HBOvhsGrFs888Q 180
f2f/recognition/arcface/__init__.py sha256=lovtW96lr1juxlj4Baup9o8ex7LE94CRIEcQZdOgJVI 84
f2f/recognition/arcface/iresnet.py sha256=2Azp6ezUY5SDxhQ0ez9UmRMHlowLdQzjyBHH-Vx_89A 8838
f2f/recognition/arcface/model.py sha256=ukuMetqfIS2sDaHKd8VT49PB8VpAzbcPk_ajOzV9IVI 1637
f2f/segmentation/__init__.py sha256=EiXFgumrBLA3_rmPk--byzvGTBtJqrJb5XA5LGLQqVg 219
f2f/segmentation/bisenet/__init__.py sha256=rkRn-8kihEMFk1IAj3hfVaxGKKch-TTOFlWl7RBOx5U 65
f2f/segmentation/bisenet/model.py sha256=3hY5teMnh9ZbH8kbZiq98_0SPqsMooqWm36br8cN6ZM 13490
f2f/segmentation/bisenet/onnx.py sha256=23MX5LRfPhR9FM_ElIOiMnvTGY26ddJzD5_j-4EMSzE 2296
f2f/utils/__init__.py sha256=apVziojAXT2GZiVL2tR733ohK0AzxviEWw31B-pD6Rk 6216
f2f/utils/image.py sha256=Z-I_ViS8TOM532JRMM7W22lMGfhhVqUcJT_ZYBHRBlc 9137
f2f/utils/np_ops.py sha256=aPAnhdGTPzvsQrx38tEnRJUgryLVtMCKEAGdna1sLpo 282
f2f/utils/onnx_ops.py sha256=BUY4DLFgiRqGhYPfz-BIj_O3bvcDLMthRyPv0MOnMfk 1983
f2f/utils/transforms_np.py sha256=eFAkVsrdKt8Np8DT4VhL22bfkFI0n6auyS7A1tiCH04 2888
f2f/utils/transforms_torch.py sha256=zy3JZ6Ac4nCyyvkHkXEG8lW4mC3usYj-m5JtZ4xJcw0 2735
face_to_face-0.4.1.dist-info/METADATA sha256=O2-SNgTxsKpshZfhn64zxmdpafV9phMWRpgrS3iSt90 502
face_to_face-0.4.1.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
face_to_face-0.4.1.dist-info/top_level.txt sha256=G31BWHsA03Acjhm20bcUbMxyIf9Y_PsF_ZTCfPlQh_U 4
face_to_face-0.4.1.dist-info/RECORD — —

top_level.txt

f2f