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DENet

An Universal Network for Counting Crowd with Varying Densities and Scales Requirements: Python=2.7, Pytorch>=0.4.0 and tensorflow >=1.6 1.Install Pytorch,tensorflow 2.compile mask rcnn based on 3.Use Mask RCNN to detect and segment first 4.Trian the model with segmented image.

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denet's Issues

DENet structure?

Hello, I am trying to reproduce the result of this paper.
And have you figured out the model structure?
I didn't find it in your script.
Thanks a lot.

How to train the UCSD dataset?

Hello, thank you for your code. In your repository, it hasn't the code of training the UCSD, I want to know how to train and test the UCSD, can you help me?
Looking forward to your reply!

Mask Values ?

In the given make_datatset for shanghai mask is defined. What are thw BW.jpg files ? Are they masks you generated or Black and white versions of the image ?

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