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Fast computing density maps for ShanghaiTech and other datasets
Hello,
I'm trying to use your codes with my own data sets, and i have no idea how to get the ground truth for every images.
Can you give me some explanation?
Thanks :)
Hello, I want to use your code to generate the truth density map of Shanghai data set, which appears after running
100%|█████████▉| 797/801 [00:03<00:00, 121.17it/s]Computed 801 gaussian kernels. Saving them to gaussian_kernels.pkl
100%|██████████| 801/801 [00:03<00:00, 257.71it/s]
Distances computed for 0. Saving them to distances_dict.pkl
0it [00:00, ?it/s]
0it [00:00, ?it/s]
0it [00:00, ?it/s]
,The folder will appear distances_dict.pkl、gaussian_kernels.pkl,Where can I generate the final density map, thank you
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