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davideverona / deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
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Could you please provide the caffemodel that you trained? #2

Open samylee opened 7 years ago

samylee commented 7 years ago

Hi @davideverona , Could you help me? Please^_^ I realized that the last layer of the output is 28x28, the value of the feature points are less than 1, and even negative numbers. So how do I get the final density map of the image via image mosaic? It is the best for me if you can provide the code (python or c++). My email address is ahuljx@126.com. By the way, The caffemodel that I trained still has some problems, so could you please provide the caffemodel for me? Thanks! And the caffemodel that you trained could be applied to low density populations? I'm looking forward to your reply. Thank you very much!

Samylee

kobejaymario commented 7 years ago

Hi @davideverona , Could you help me? Please^_^ The train_val.prototxt mentioned train.txt and test.txt not compressed package, can give me? My mailbox is 1084553283@qq.com. Hope you can tell me this program how to work. Thank you.

liangzimei commented 7 years ago

Hi @davideverona Could you please provide me the caffemodel of CrowdNet? i really need your help. thank you very much. my mailbox is zybteal@163.com

sarweshkumar47 commented 7 years ago

@kobejaymario, I executed dcc_crowdnet.ipynb. It created a folder named data in my home directory and .h5 files along with train.txt and text.txt were generated (size ~18 GB).