Comments (10)
We just updated the repository to support PyTorch 1.3 and added a new object detector. I did some rudimentary testing but feel free to give me feedback if something is not working as before.
I will close this issue. Please open new issues if something is broken now.
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Unfortunately the underlying faster-rcnn repository does not work with PyTorch 1.0. However, the most recent version of torchvision provides Faster R-CNN out of the box and it should be quite easy to use our Tracktor code with that version of a Faster R-CNN. This would definitely be a contribution that we are happy to integrate into our repository.
from tracking_wo_bnw.
Unfortunately the underlying faster-rcnn repository does not work with PyTorch 1.0. However, the most recent version of torchvision provides Faster R-CNN out of the box and it should be quite easy to use our Tracktor code with that version of a Faster R-CNN. This would definitely be a contribution that we are happy to integrate into our repository.
Thank you for your reply. I've done taking boxes and classes from FRCNN pre-trained model from PyTorch as you said. Next, Where can I take the code for integrating the detector and tracktor? Do I need to modify the tracktor evaluation for demo code?
Thank you
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You would have to modify multiple files. Definitely experiments/scripts/test_tracktor.py
and src/tracktor/tracker.py
. It is definitely possible to switch out the underlying Faster-RCNN implementation but there is probably some work involved.
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You would have to modify multiple files. Definitely
experiments/scripts/test_tracktor.py
andsrc/tracktor/tracker.py
. It is definitely possible to switch out the underlying Faster-RCNN implementation but there is probably some work involved.
Excuse me, Can you help me to explain the differences between Tracker and Oracle Tracker?
Thank you in advance.
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Please have a look at Section 4.2 of our paper. There, we explain the purpose of our oracle trackers and their distinctions.
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You would have to modify multiple files. Definitely
experiments/scripts/test_tracktor.py
andsrc/tracktor/tracker.py
. It is definitely possible to switch out the underlying Faster-RCNN implementation but there is probably some work involved.
After taking a look at those 2 files, I'm not sure that I understand how you can get the data to put in the network. Now I'm working with Pytorch 1.0, so I can not produce blob data as the way you did. Can I put the frame as image or image array to tracker.step(frame) of the tracker (supposed that I've done get detection step).?
Thank you.
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Without testing PyTorch 1.0 by myself I think that the data blobs should still be produced as before, i.e, the Tracker.step
method receives a blob
argument which includes the data, ground truth and some image information.
In order to use a different object detector (our detector will not work with PyTorch 1.0), you have to provide the same interface as ours. See self.obj_detect.load_image
and self.obj_detect.test_rois
and the corresponding functions in src/tracktor/fpn.py
.
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Hello ! I already have a detect data , and I want to use my own data .How can I do it?
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@idmakers Please open an issue for each problem. This one is only about the PyTroch 1.X support of this repository. I answered your question in a few previous already closed issues.
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Related Issues (20)
- Question: reproduce the model HOT 2
- How do you train Tracktor itself? HOT 2
- No module named 'torchreid' HOT 6
- What does the various column items in det.txt file represent? HOT 9
- Should I train det and reid for tracktor? HOT 2
- can
- can't find the module named "tracktor.config" HOT 3
- Looking for more training details of given models HOT 1
- No such file or directory: ...../model_epoch_27.model' HOT 5
- Train reid and detector for custom objects /labels ( not people/cars) HOT 6
- how to reproduce the results of this repository on colab HOT 2
- Online or Offline method HOT 2
- requirments issue HOT 1
- About put the own dataset detection result to do tracker
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument tensors in method wrapper___cat) HOT 1
- How to train your own dataset? HOT 1
- Is box regression method predict_boxes applicable to tracking multiple objects, number of interested objects>2
- Issues in requirements.txt
- I cannot open the link of Train and test object detector (Faster R-CNN with FPN) on Google Colab notebook HOT 4
- ModuleNotFoundError: No module named 'mask_rcnn_tracktor' HOT 3
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