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Hi, I'm kind of new to the field of deep learning, is there any way that we can get a whole model, more specifically, something like I can use output = model(image) to predict the label of it directly, instead of run all the .py file of different cnn separately (like below).
python scripts/detector_DenseNet201.py
python scripts/detector_EfficientNetB4.py
python scripts/classifier_DenseNet201.py
python scripts/classifier_InceptionV3.py
python scripts/classifier_ResNet152.py
python scripts/classifier_EfficientNetB4.py
The text was updated successfully, but these errors were encountered:
Hi, I'm kind of new to the field of deep learning, is there any way that we can get a whole model, more specifically, something like I can use
output = model(image)
to predict the label of it directly, instead of run all the .py file of different cnn separately (like below).python scripts/detector_DenseNet201.py
python scripts/detector_EfficientNetB4.py
python scripts/classifier_DenseNet201.py
python scripts/classifier_InceptionV3.py
python scripts/classifier_ResNet152.py
python scripts/classifier_EfficientNetB4.py
The text was updated successfully, but these errors were encountered: