A package to easily train powerful image classification models using colab's free TPUs.
Project description
The AI team at Décathlon Canada developed a library to help with the training of image classification models. It is specially made to exploit the free TPUs that are offered in Google colab notebooks. You can find the full documentation here
Version 1.4.2
Update dependencies and testing functions
Version 1.4.1
Fix hyperparameter optimization for multilabel
Version 1.4.0
Added multilabel classification
Version 1.3.0
Use suggested image sizes Add EfficientNetV2 models
Version 1.2.1
Change to Tensorflow 2.5
Version 1.2.0
Add semi-supervised learning features
Version 1.1.3
Link to public repository
Version 1.1.2
Change name of package
Version 1.1.1
Fix typo in split_train
Version 1.1.0
Remove google scraping
Version 1.0.0
Original release
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
File details
Details for the file decavision-1.4.2.tar.gz.
File metadata
- Download URL: decavision-1.4.2.tar.gz
- Upload date:
- Size: 30.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 090251093bbf09005218ff5d60430c9a5fb653c272021cf9142038fe7f998e2c |
|
| MD5 | 1b0089abcf13509073e88620119be115 |
|
| BLAKE2b-256 | ba626b9c712ceeadb7d7451ded4fd8170f3748d3ac9422838f7f2a2e7201f83e |
File details
Details for the file decavision-1.4.2-py3-none-any.whl.
File metadata
- Download URL: decavision-1.4.2-py3-none-any.whl
- Upload date:
- Size: 33.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b10068e887ecfb0529df2641f1cd25d8cc940253515da1130fc710fd94416e6a |
|
| MD5 | 8c3e1ae526e7625639f52527dfe91955 |
|
| BLAKE2b-256 | 02171ce63c76d697797b5d4db2bf37296e38b6021ce7aef5f70cefa29d692850 |
