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leeyeehoo / CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
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Implementation of WorldExpo'10 dataset #75

Open desenzhou opened 4 years ago

desenzhou commented 4 years ago

Hi, I'm using CSRNet for crowd counting on world Expo'10 dataset. However, I cannot reproduce the results of the paper(8.6 MAE), I only got a MAE around 10.2. Could you please provide the implementation of world Expo'10 dataset(e.g. density map generation or how to utilize the ROI and evalutation), or at least provide some implementation details( learning rate, batch size ect.). Thank you so much!!

desenzhou commented 4 years ago

In addition, as world Expo'10 contains 5 scenes. During evaluation, do you use the same model for 5 scenes, or one model for one scene and 5 models in total. Thanks!

845601575 commented 4 years ago

Hi, I want to use my dataset to train the model,
but I don't know what the 'python train.py train.json val.json 0 0' means could you explain it to me? thank you very much!