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Question in Evaluate #11
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same problem here. Do you use the given version of python, Pytorch, and Cuda? My version is a bit different, but it should not degrade the performance so much during inference. |
I found that the cause of the problem was the thermal teacher, because there was basically no output during the test. And the provided model cannot be fully imported when importing. I feel that the author’s thermal teacher model may not be EfficientDet_D2 in the code. |
Are teacher models called during inference? I thought that teacher models are used during training to generate labels and only the audio regression model will be used for inference. |
hi, can I know your dataset structure? Because from the readme, it should contains 50 directories with “ We split the data using a 60 (train) /20 (validation)/20 (test) scheme, which can be found under the When I download the dataset, I only get 12 directories with the following structures: |
@muzhaohui May I know how did you make it runnable? Also, I have the following issue as well. Tried to reach the authors in many ways but didn't have any reply. |
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Hello there!
First of all, thank you for your outstanding work! I have a problem when reproducing your work.
I'm use the following command to evaluate.
python evaluate.py --config configs/mm-distillnet.cfg --checkpoint trained_models/mm-distillnet.0.pth.tar
But get bad performance.Can you help me how to improve?
Thanks!
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