Pre-release
This release is a pre-release and may not be stable for production use.
PyTorch-Encoding
created by Hang Zhang
Documentation
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Please visit the Docs for detail instructions of installation and usage.
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Please visit the link to examples of semantic segmentation.
Citations
Context Encoding for Semantic Segmentation [arXiv]
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Hang and Dana, Kristin and Shi, Jianping and Zhang, Zhongyue and Wang, Xiaogang and Tyagi, Ambrish and Agrawal, Amit},
title = {Context Encoding for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep TEN: Texture Encoding Network [arXiv]
Hang Zhang, Jia Xue, Kristin Dana
@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Hang and Xue, Jia and Dana, Kristin},
title = {Deep TEN: Texture Encoding Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
Metadata
Release files for torch-encoding 1.1.0b4042020
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torch-encoding-1.1.0b4042020.tar.gz | 57.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_encoding-1.1.0b4042020-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 142.4 kB
Release files / torch-encoding-1.1.0b4042020.tar.gz
| Download URL | torch-encoding-1.1.0b4042020.tar.gz |
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| Size | 57.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / torch_encoding-1.1.0b4042020-py2.py3-none-any.whl
| Download URL | torch_encoding-1.1.0b4042020-py2.py3-none-any.whl |
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| Size | 85.3 kB |
| Tags | Python 2 Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6
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