https://github.com/muka/tensorflow-experiments
Tensorflow based, good apples image recognition
https://github.com/muka/tensorflow-experiments
Last synced: about 2 months ago
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Tensorflow based, good apples image recognition
- Host: GitHub
- URL: https://github.com/muka/tensorflow-experiments
- Owner: muka
- License: mit
- Created: 2018-03-14T08:24:50.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-14T08:30:50.000Z (about 7 years ago)
- Last Synced: 2025-02-05T04:49:27.823Z (4 months ago)
- Language: Python
- Size: 5.86 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Apple type recognition
Notes for experiments on tensorflow and apple recognition
## Setup
- Get models `make fetch-models`
- Ensure tensroflow py modules are reachable `export PYTHONPATH=$PYTHONPATH:${PWD}/models/research:${PWD}/models/research/slim`
- Run TF `make run-tensorflow`
Image labelled with MS VoTT https://github.com/Microsoft/VoTT.git
## Testing
I used that repo https://github.com/chtorr/go-tensorflow-object-detection to get RT detection out of Webcam
- Clone & install as descripted in the repo
- Edit under `data/` setting 1: to apple
- launch specifying the directory where you exported the frozen model (see `make export-trainer`)
## References
- https://gist.github.com/douglasrizzo/c70e186678f126f1b9005ca83d8bd2ce
- https://medium.com/@WuStangDan/step-by-step-tensorflow-object-detection-api-tutorial-part-4-training-the-model-68a9e5d5a333
- https://towardsdatascience.com/how-to-train-your-own-object-detector-with-tensorflows-object-detector-api-bec72ecfe1d9
- https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/using_your_own_dataset.md