hezhangsprinter
Missing necessary code for reproduction
Seemingly, there is three training stage according to your paper:
- Stage 1: training residual extraction network only
- Stage 2: training density classification network based on residue output from the network in Stage 1
- Stage 3: joint training of both networks
quote: "To efficiently train the classifier, a two-stage training protocol is leveraged. A residual feature extraction network is firstly trained to estimate the residual part of the given rainy image, then a classification sub-network is trained using the estimated residual as the input and is optimized via the ground truth labels (rain-density). Finally, the two stages (feature extraction and classification) are jointly optimized."
It seems that the code of Stage 1 corresponds to file derain_residual.py, and Stage 3 corresponds to file train_rain_class.py (which directly loads two pre-trained models). How to get the density classifier trained in Stage 2?
