Python Sample |
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git clone https://github.com/NanoNets/multi-label-classification-sample-python
cd multi-label-classification-sample-python
Get your free API Key from http://app.nanonets.com/user/api_key
export NANONETS_API_KEY=YOUR_API_KEY_GOES_HERE
python ./code/create_model.py
_Note: This generates a MODEL_ID that you need for the next step
export NANONETS_MODEL_ID=YOUR_MODEL_ID
_Note: you will get YOUR_MODEL_ID from the previous step
The training data is found in images
(image files) and annotations
(annotations for the image files)
python ./code/upload_training.py
Once the Images have been uploaded, begin training the Model
python ./code/train_model.py
The model takes ~2 hours to train. You will get an email once the model is trained. In the meanwhile you check the state of the model
python ./code/model_state.py
Once the model is trained. You can make predictions using the model
python ./code/prediction.py PATH_TO_YOUR_IMAGE.jpg
Sample Usage:
python ./code/prediction.py ./multilabel_data/ImageSets/2795.jpg