# This is a linux shell script, which calls digits_predict_folder.py to batch process mutliple DNN models.

# sudo python -c 'import digits_predict_folder; digits_predict_folder.nv_digits_infer_test_model("AlexNet_from_scratch")'
# sudo python -c 'import digits_predict_folder; digits_predict_folder.nv_digits_infer_test_model("AlexNet_transfer_learning")'
sudo python -c 'import digits_predict_folder; keys=digits_predict_folder.GetDictKeys(); digits_predict_folder.nv_digits_infer_test_model(keys[0])'
sudo python -c 'import digits_predict_folder; keys=digits_predict_folder.GetDictKeys(); digits_predict_folder.nv_digits_infer_test_model(keys[1])'
sudo python -c 'import digits_predict_folder; keys=digits_predict_folder.GetDictKeys(); digits_predict_folder.nv_digits_infer_test_model(keys[2])'
sudo python -c 'import digits_predict_folder; keys=digits_predict_folder.GetDictKeys(); digits_predict_folder.nv_digits_infer_test_model(keys[4])'
sudo python -c 'import digits_predict_folder; keys=digits_predict_folder.GetDictKeys(); digits_predict_folder.nv_digits_infer_test_model(keys[5])'
'

# special treatment for GoogLeNet_transfer_learning. It requires nv-caffe-0.15
python -c 'import digits_predict_folder; digits_predict_folder.nv_digits_infer_test_model2("/home/zys/Desktop/scripts/GoogLeNet_ResultsFromDigits.txt", "/home/zys/Desktop/test2/data/LabelList.txt", "GoogLeNet_transfer_learning")'

sudo chown $USER -R .