fanglinpu

Training data for NYU dataset

6

I find that you use all three views of depth images for training in the \denseReg-master\data\nyu.py . def loadAnnotation(self, is_trun=False): '''is_trun: True: to load 14 joints from self.keep_list False: to...

I cannot accurately load the provided pretrained VGG model. It raise issue like this: cPickle.UnpicklingError: invalid load key, '§'.

refined_loss_1 is nan

3

The refined_loss_1 is nan when I train the model using vgg16 backbone.

The problem of NASBench dataset

2

Cannot correctly download the NASBench dataset with the provided link.