Wheelodex » Projects » xt-models

xt-models

View on PyPI — Reverse Dependencies (0)

0.4.1 xt_models-0.4.1-py3-none-any.whl

Wheel Details

Project: xt-models
Version: 0.4.1
Filename: xt_models-0.4.1-py3-none-any.whl
Download: [link]
Size: 29847
MD5: 11a2e842b856367f496b8f620554001d
SHA256: be4db0d3c0204a1ec780bd6652c075b9ac1c0bf0adc40d76bbca1916865c5c9a
Uploaded: 2020-08-18 19:29:29 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: xt-models
Version: 0.4.1
Summary: Models and model utilities for common ML tasks
Author: Xtract AI
Author-Email: info[at]xtract.ai
Home-Page: https://github.com/XtractTech/xt-models
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: transformers
Description-Content-Type: text/markdown
Provides: xt_models
[Description omitted; length: 2477 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
xt_models/models/__init__.py sha256=clKjTvk9svrAu2v5qxUOrdJNTeREkKtjuBYTQ0KUMx0 139
xt_models/models/pspnet.py sha256=I3jKjvmJf6GfBnx6MhtQSBzKSKSXLESu6sRfhLvk8ZU 2711
xt_models/models/resnet.py sha256=MsGzE-8EPcXFDDqeMjEuV3jJzMXX_--85OoyBMDzzqo 14191
xt_models/models/ses.py sha256=q7Mxw6iOb7V8uPjxtu8I8Usf9fA6uzLscRdzP2Kh6oI 2931
xt_models/models/object_detection/__init__.py sha256=34oVI6NtfL8f4YLo_rnoqpG-LYDx3Xw0z_1dJAP9gQE 33
xt_models/models/object_detection/models.py sha256=0rX9RY6KyC4PTBkuVJm2x83Qki6qzDXpOrrFzfwSDaU 17649
xt_models/models/object_detection/utils.py sha256=eVk1ohViWCYea5iUSYcwzRX9a5XiuaDI_G75-W-XZso 9029
xt_models/models/semantic_segmentation/__init__.py sha256=kRev6sJtckvbpvnzXVS33auB4zhH5xcHHG7XiaRY2Es 53
xt_models/models/semantic_segmentation/hrnet.py sha256=MrfxkTm4Dxi6g7HDTyf3gF3I1LlUgU_QErDSxqCsHKg 16793
xt_models/models/semantic_segmentation/mobilenet.py sha256=_bVLnGs0h9_DaPzULNmVNBHRuWD6-GCqWAf0i7voqDE 4919
xt_models/models/semantic_segmentation/models.py sha256=GAuWjVBEvpyi64hvcKFa35F1WO367xZA7DddDGegdY0 20415
xt_models/models/semantic_segmentation/resnet.py sha256=VwNOgwgMuu3gRA6OPi1cRRBg-tnn1yAUhOtgs5mQxxw 6752
xt_models/models/semantic_segmentation/resnext.py sha256=W0RYezdNjYQJIIBInIuDvObmhRk1COvU5HDQ4yCN39o 5349
xt_models/models/semantic_segmentation/utils.py sha256=Vaj0Emm-KMF-RW5a4fJGv3E1R2Vznc7KHkW-zVjLpeI 577
xt_models/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
xt_models-0.4.1.dist-info/METADATA sha256=KPISDLCkxVjlBPUVqqiLKLEj58EZ3yrO6hFb3bzSLKA 2972
xt_models-0.4.1.dist-info/WHEEL sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec 92
xt_models-0.4.1.dist-info/top_level.txt sha256=5dI0xG97hPdqyG9P3mY2Bx5r0UKEK4kZcXXEZGJm-Dw 10
xt_models-0.4.1.dist-info/RECORD — —

top_level.txt

xt_models