lwpyr
Anyone train and test on Caltech dataset?
Hi,
Is there anyone train and test on Caltech dataset? My model's MR is around 8-9% however the Keras's version's MR is around 4%. No idea why the MR is not promising. (I did not hybrid the data like Keras, is that the reason??)
Any suggestion?
I have trained on caltech, but I can't reproduce the paper's number, my miss rate is 7.4%
I have trained on caltech, but I can't reproduce the paper's number, my miss rate is 7.4%
I have the same situation and I am working to find out the reason why the behavior is disappointing on the Caltech dataset. (PyTorch code has a slightly better result on CityPersons dataset than TF)
Do you have any idea? I have tried the data hybrid, which is the method that the author of CSP takes in his TF code. However, the MR is still around 8%.
@lw396285v Would you like to have a look at it? I have been working on this for about a month. I still have no progress. I have tried to use the same normalization, data hybrid and the MR is always around 8-9%.
If I don't use the training methods in the paper，and let the lr decay to 0.00002 after 50 epochs, the MR is around 5.5%
If I don't use the training methods in the paper，and let the lr decay to 0.00002 after 50 epochs, the MR is around 5.5%
what is the batchsize? did you change other configurations besides the train image size and the test image size when you switch from CityPersons to Caltech?
BS==8 on caltech. image size is the same as in the paper.
Can you share your train code please? It’s weird I am using bs=12 but achieved a worse result. My email is [email protected] Thanks and regards.
@msha096 Hi, what's your training config?
the same as Keras's one.
Can you share your training strategy? thx
I have trained on caltech, but I can't reproduce the paper's number, my miss rate is 7.4%
请问你是怎么复现的，我这里在编译setup.py文件一种报错，如果可以的话加一下我联系方式775980299，这个问题让我心烦好久了，非常感谢
