Comments (5)
The runtime error is most likely from a version mismatch. I hope you can figure it out!
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I assume you did not download the zip file with the model files. Steo 4 in the README.
from tracking_wo_bnw.
I assume you did not download the zip file with the model files. Steo 4 in the README.
I did, that's why I said I have checked the paths. Here is a screenshot.
from tracking_wo_bnw.
Okay, my bad. But if you compare the paths you see they dont match. output/faster_rcnn_fpn/faster_rcnn_fpn_training_mot_17/model_epoch_27.model
has another faster_rcnn_fpn
subolder. I will fix this in the default cfg.
from tracking_wo_bnw.
Okay, my bad. But if you compare the paths you see they dont match.
output/faster_rcnn_fpn/faster_rcnn_fpn_training_mot_17/model_epoch_27.model
has anotherfaster_rcnn_fpn
subolder. I will fix this in the default cfg.
Oh, I'm sorry, I did not notice that intermediate folder. I will fix it manually. Thanks a lot! And also for the super quick response.
Now it starts but I get a runtime error related with torchvision and cuda. I will do some research to find it out, it is probably something related with the packages (I had to install one of them manually because the one in the requirements.txt did not work). Again, thanks!
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Related Issues (20)
- 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
- 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
- TrackFormer: Multi-Object Tracking with Transformers HOT 1
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