I have queries regarding datanormalization in CNN. Can you please address my queries?
1)When normalizing image data, Should i use the complete dataset (train + test + validation) to calculate the mean and std ? Or, should i split the dataset(train,test,val) and calculate the mean and std on trainset and use this mean and std to normalize the test and val data?
- When using optical folow data to train a convolution autoencoder, should we normalize the optical flow data? If so, can we use the imagenet normalization parameters(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])? Or, do we have to calculate the normalization parameters of the optical flow dataset?