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DeepPose implementation in Chainer

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I want to ask what is the trans. In my test, I can't run because of " Traceback (most recent call last): File "evaluatDeepPose-Shao/evaluateFlic.py", line 286, in test(args) File "evaluatDeepPose-Shao/evaluateFlic.py",...

In the eval process, we also use `load_data(trans, args, input_q, data_q)` function to load test data, and use the same `trans.transform` function to load data and transform data. But in...

I successfully managed to train the FLIC dataset over a few epocs but I was not able to evaluate the results due to unresolved references in evaluate_flic.py. Here are the...

Anyone has an idea how much memory is in need to run this program? I have 16GB and it seems like that is way not enough. Thanks

In the predict_flic.py, when I run it in test mode, it seems to load the label data for a particular file, and then does the prediction. (that's my understanding) how...

Is there any script to test custom image on the pretrained model or to train a custom dataset to predict the joints? This is already mentioned in https://github.com/mitmul/deeppose/issues/10.

Are pretrained models available? I would really appreciate if you share the weights of the models. Thank You

Has any tried testing the models that were generated? I tried running it offline (outside of the train algorithm) and got the following error. It seems like the model and...