TensorImage Code
Image classification library for easily training and deploying models
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| File | Date | Author | Commit |
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| docs | 2019-01-02 |
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[4e8ddc] Converted MD file to RST |
| tensorimage | 2018-12-30 |
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[c79146] Fixed error and added INFO logs |
| .gitignore | 2018-12-23 |
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[fac8a3] - moved sources into tensorimage package |
| LICENSE.md | 2018-12-12 |
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[6eb7a1] Change license to MIT |
| MANIFEST.in | 2018-12-23 |
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[fac8a3] - moved sources into tensorimage package |
| README.md | 2018-12-26 |
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[ff8a6e] Update README.md |
| requirements.txt | 2018-12-08 |
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[7ee133] Added scipy |
| setup.py | 2018-12-30 |
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[2a4eef] Update description |
Read Me
TensorImage
TensorImage is and open source image classification library designed to easily train and deploy models.
The main features are:
- Image classification model training. A wide range of data augmentation operations to boost testing accuracy and prevent overfitting are available
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Training clusters -- makes hyperparameter tuning easier and faster by automatically comparing performance of different models
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Organization -- all files, data and trained models are automatically stored and ordered inside your workspace directory which can be accessed at any time
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Large-scale deployment of trained image classification models -- generating more training data for further improved classification
Installation
From the terminal:
$ pip3 install tensorimage
Documentation
You can view TensorImage's documentation here.
Support
If you are experiencing any errors or bugs, please report them in the issues section or contact us at tensor.image2@gmail.com
Contributing
If you have any ideas for features that should be added to TensorImage, please feel free to fork TensorImage and open a pull request.
