RecurrentAttentionConvolutionalNeuralNetwork
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Sorry, I want to know can the code run? how to get dataset,Thanks ModuleNotFoundError: No module named 'torchnet' where is the torchnet
This repos a work in progress at the moment. It requires the CUB dataset. torchnet is a python dependency that can be installed using pip It should be runnable in its current state but its not currently working.
what I get is the images of CUBS,where to find such as image_crop_labels2.txt,image_class_labels.txt'
You have to generate candidate crops for each image in CUBS and pretrain the attention proposal networks with these candidate crops. I'm trying out multiple ways at the moment because the paper does not say how they efficiently did this process. My approaches to generate these candidates are in utils.py
which generates image_crop_labels.txt
when i run the code of graph_networks, with SummaryWriter(comment='RACNN3') as w: AttributeError: enter thanks
graph_networks.py
is experimental at the moment. I tried using it to visualize some of my networks with tensorboardx
but there are some bugs.
I want to know which version of Pytorch you used?My version is pytorch-1.0.0.