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Code for training CNN model #15
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Code for re-training the network is still not ready for publication (it's a matter of time - or the lack of it), but I have written down a few points in issue 7. Models for classes other than pedestrians would be a nice addition, so feel free to share them once you get results. |
@nwojke could you explore the model in Caffe framework? I want to use the model in Caffe and I will share the result after that. |
Have the author ready for announce the training code? |
Hello Guys, thanks in advance for your help |
Have you got the train code of deep sort? I am still looking for it, also have the same problem, since I intend to use MOT dataset to train the model instead of MARS or market. Maybe we could help each other I think |
yes , why not share with me your email and I will send you my progress |
LJXLSMH886 at gmail.com |
Have you guys been able to train the network on your own dataset? |
@lsmh886 , @Abdelsater have you guys been able to train the network on your own dataset? |
Hi Nicolai,
I am working on an MOT project for tracking several different object classes (cars, pedestrians, cyclists, etc.). I understand that the model provided in your github repository for Deep SORT is trained on the MARS dataset which is specific for person re-identification, and was wondering if you could provide the code for training your CNN architecture so that I can train it on my own dataset.
Alternatively, it would be good if you could share some pre-trained models for object classes other than pedestrians.
Thanks for your work on Deep SORT. Cheers!
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