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您好，请问数据集用那个呢？数据集目录结构是什么样的？
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Hi author,
This code is very interesting. I read code but I didn't see inference code to save and visualize output image.
Can you release it?
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We need to gather a wide array of count datasets to run experiments on to demonstrate the effectiveness of our proposed count regression methods. These should include:
- [ ] Multiple tabular datase…
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Hi, I trained M-SFANet with part of shanghaiTech samples. BUT the loss converge too slow, and the mse and mae remain large after training a few hundred epoches. Do you know why?
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In _crowd.py_, the code shows that the .npy is the annotation file format, so which public dataset does it belong to? I found the annotation files of many public dataset are .mat format...
BTW, the v…
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TypeError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_23216\4266400044.py in
142 os.makedirs(save_path)
143
--> 144 print…
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Thanks for sharing your code.It makes life easier.I have one question that will it improve the performance if I combine multiple dataset to train the model?
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How many epochs to get the corresponding results of the dataset and model? The default setting in config.py is 100 and there is no explanation. And will you release the trained models?
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It seems that the current model is only valid for the test data set you provide, I used some random monitoring images of the Internet to test, the effect is very inaccurate, any suggestions to solve?
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I have trained 1000 epoche in shanghaiTech part A samples using the M_SFANet，but the test mea is 68.08，the learning rate used 5e-4, the batch size used 8, and the sample size croped as 400*400. And ca…