Pred and GT are too different about fidtm HOT 4 CLOSED

Thanks for your feedback. Do you modify the test.py?
I guess your Pred result is by summing the predicted output instead of by finding the local maxima.
Maybe you can solve the problem by adopting the latest version of test.py. The implementation of LMDS is in Line 154 of test.py.
When I run python test.py --test_dataset ShanghaiA --pre model_best.pth,
........
begin test
IMG_1.jpg Gt 172.00 Pred 231
IMG_10.jpg Gt 502.00 Pred 429
IMG_100.jpg Gt 391.00 Pred 430
IMG_101.jpg Gt 211.00 Pred 228
IMG_102.jpg Gt 223.00 Pred 255
IMG_103.jpg Gt 430.00 Pred 510
.......

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Thank you for your answer. I updated a test.py file, but this problem still exists, and I found that the results of not loading “/model/ShanghaiA/model_best.pth” and successfully loading “/model/ShanghaiA/model_best.pth” are the same result, I don’t think it’s the problem of LMDS.

#####################
./model/ShanghaiA/model_best.pth
=> no checkpoint found at './model/ShanghaiA/model_best.pth'
100000.0 0
Pre_load dataset ......
begin test
IMG_1.jpg Gt 172.00 Pred 177319
IMG_10.jpg Gt 502.00 Pred 193268
IMG_100.jpg Gt 391.00 Pred 91857

#####################
./model/ShanghaiA/model_best_57.pth
=> loading checkpoint './model/ShanghaiA/model_best_57.pth'
57.0989010989011 921
Pre_load dataset ......
begin test
IMG_1.jpg Gt 172.00 Pred 177319
IMG_10.jpg Gt 502.00 Pred 193268
IMG_100.jpg Gt 391.00 Pred 91857
IMG_101.jpg Gt 211.00 Pred 183484
IMG_102.jpg Gt 223.00 Pred 31301

In the Baidu-Disk you provided, the pre-training file of Part_A model is the model_best_57.pth

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The command "./model/ShanghaiA/model_best_57.pth" is right. It seems that the pre-trained model did not load successfully. However, I do not get any wrong when I utilize the same command. You can add my WeChat (liangdingkang) to let me know about this problem in detail.

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Thank you for your excellent work. I sent you a friend request. I am sorry to disturb you during the holidays.

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