https://github.com/tucan9389/tf2-mobile-image-classification
https://github.com/tucan9389/tf2-mobile-image-classification
Last synced: 6 months ago
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- Host: GitHub
- URL: https://github.com/tucan9389/tf2-mobile-image-classification
- Owner: tucan9389
- License: apache-2.0
- Created: 2020-01-27T14:54:05.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-11-22T05:16:20.000Z (almost 3 years ago)
- Last Synced: 2025-02-09T08:31:21.397Z (8 months ago)
- Language: Python
- Size: 37.1 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Image Classification for TensorFlow 2.0
## Training Methods
- [x] transfer learning
- [ ] custom model
## Getting Started
### 1. Get Dataset
### 2. Set Up Environment
### 3. Configure Input/Output Path
## Run The Project
### If Use PyCharm
### If Use Terminal
## Results
## TODO
## Environment
- [x] macOS 10.15.2
- PyCharm 2018.3 PROFESSIONAL
- Anaconda 4.6.8
- Python 3.7.6
- TensorFlow 2.0.1
- [ ] Linux <#TODO#>
## Reference
- [colab - images.ipynb](https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/load_data/images.ipynb)
- [colab - flowers_tf_lite.ipynb](https://colab.research.google.com/github/tensorflow/examples/blob/master/community/en/flowers_tf_lite.ipynb)
- [Ahmkel/Keras-Project-Template](https://github.com/Ahmkel/Keras-Project-Template)