TransferLearning4Dentist/script.txt at master · yangboz/TransferLearning4Dentist · GitHub

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## Data pre-processing

### Image augumenting
python dataGen_den.py C:\TransferLearning4Dentist\data\raw\normal\ C:\TransferLearning4Dentist\data\gen0717\train\00000\ 0 jpg 100

python dataGen_den.py C:\TransferLearning4Dentist\data\raw\missing\ C:\TransferLearning4Dentist\data\gen0717\train\00001\ 1 jpg 100

### Train/Test dataset split 10:1

### Image resize and normalize

#### Train

python normalize_den.py C:\TransferLearning4Dentist\data\gen0713\train\00000\  C:\TransferLearning4Dentist\data\gen0709\train_r\00000\ jpg 100 100

python normalize_den.py C:\TransferLearning4Dentist\data\gen0713\train\00001\  C:\TransferLearning4Dentist\data\gen0709\train_r\00001\ jpg 100 100

#### Test

python normalize_den.py C:\TransferLearning4Dentist\data\gen0713\test\00000\  C:\TransferLearning4Dentist\data\gen0709\test_r\00000\ jpg 200 200

python normalize_den.py C:\TransferLearning4Dentist\data\gen0713\test\00001\  C:\TransferLearning4Dentist\data\gen0709\test_r\00001\ jpg 200 200


## For trainning

### Verify Keras version
python -c "import keras; print(keras.__version__)"

python train.py --dataset_train C:\TransferLearning4Dentist\data\gen0709\train_r\ --dataset_test C:\TransferLearning4Dentist\data\gen0709\test_r\ --model den_normal_missing.model

python train.py --dataset_train C:\TransferLearning4Dentist\data\gen0713\train_r --dataset_test C:\TransferLearning4Dentist\data\gen0713\test_r --model den_normal_missing.model --epochs 100

python train.py --dataset_train C:\TransferLearning4Dentist\data\gen0713\train_r\ --dataset_test C:\TransferLearning4Dentist\data\gen0713\test_r --model den_normal_missing.model --epochs 10

python train.py --dataset_train C:\TransferLearning4Dentist\data\gen0713\train_r --dataset_test
C:\TransferLearning4Dentist\data\gen0713\test_r --model den_normal_missing.model --epochs 10

### Predict

python predict.py --model den_normal_missing.model -i C:\TransferLearning4Dentist\test\den_test_normal.jpg -s

python predict.py --model den_normal_missing.model -i C:\TransferLearning4Dentist\test\den_test_missing.jpg -s


## API

python API/api.py

## Tensorflow serving

docker run -p 8501:8501 -v /tmp/tfserving/serving/tensorflow_serving/servables/tensorflow/testdata/saved_model_half_plus_three:/models/half_plus_three -e MODEL_NAME=half_plus_three -t tensorflow/serving &