This release is a pre-release and may not be stable for production use.
PyTorch-Encoding
created by Hang Zhang
Documentation
-
Please visit the Docs for detail instructions of installation and usage.
-
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}
}
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file torch-encoding-1.1.1b4042020.tar.gz.
File metadata
- Download URL: torch-encoding-1.1.1b4042020.tar.gz
- Upload date:
- Size: 57.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
080f62a2196e11f3b73e1d9fce2dc85004caebbc4112fc4523968358f63daf9d
|
|
| MD5 |
1df795f5046203a7166345bddb7fdf1f
|
|
| BLAKE2b-256 |
3fc8f0a6f1806f7d9d181e19da76f2b0de8f5003e370e5f66b1afd56e7c6707a
|
File details
Details for the file torch_encoding-1.1.1b4042020-py2.py3-none-any.whl.
File metadata
- Download URL: torch_encoding-1.1.1b4042020-py2.py3-none-any.whl
- Upload date:
- Size: 85.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad9e4532f9485cbfc0fa775da912fccba94d15765ea76045dfbfd693935b8dfd
|
|
| MD5 |
3c77d3bc7a86cdb93dfc4a2b194d6c8e
|
|
| BLAKE2b-256 |
fa23fc74a13320faeef706fc235423a9147aa851ceb2f5c739d4af42675580ad
|
