Put the input knife images- "images/knife/" directory Put the input scissors images- "images/scissors/" directory
Now run preprocess.py to randomly select test images.
For training the model-
Using lenet- "python train_lenet.py --dataset images --model lenet.model -p graph1"
Using resnet- "python train_resnet.py --dataset images --model resnet.model -p graph2"
Using vgg- "python train_vgg.py --dataset images --model vgg.model -p graph3"
For testing -
On lenet.model- "python test_network.py --model lenet.model --image images/examples/name_of_img.jpg/png"
On resnet.model- "python test_network.py --model resnet.model --image images/examples/name_of_img.jpg/png"
On vgg.model- "python test_network.py --model vgg.model --image images/examples/name_of_img.jpg/png"