Comments (1)
Hi!
Thank you for showing interest in my repo!
Could it have to do with the incompatibility between the CUDA version that Google Colab is running and the Pytorch version required (torch==1.5.1)? Torch 1.5 is built for CUDA 10.2, but when I run:
!nvcc --version
I get:
nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Sun_Jul_28_19:07:16_PDT_2019 Cuda compilation tools, release 10.1, V10.1.243
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Related Issues (20)
- AttributeError: 'Segment' object has no attribute 'detect' HOT 2
- Question about the initialization of the process uncertainty matrix (`Q`) in `ocsort.py` HOT 2
- Tracking id for ByteTracker not being able to reset HOT 5
- Question on Color Conversion in DeepOCSort During Tracking HOT 1
- How to train custom Reid dataset from scratch on yolo_tracking? HOT 3
- Inquiry regarding liscence HOT 2
- How to get original frame without result augmentation when using yolo.track function?
- Add "reset()" method to all the trackers HOT 3
- Retrain ReID HOT 2
- Minimum number of hits quesiton HOT 2
- Question about Evaluation on First 10 Frames HOT 3
- How to increase the size of history_observations. HOT 2
- Why ReID improves HybridSORT performance HOT 4
- DiffMOT HOT 1
- tracking of HybridSORT when moving to the next part of the video HOT 1
- MASA: Matching Anything By Segmenting Anything (CVPR24) HOT 4
- IndexError Occurs When max_age is Set Above 60 HOT 1
- While using DeepOCSort algorithm failes with KeyError: 'last_measurement' HOT 6
- Change in motion of object and 1 missed det led to change in tracking ID. HOT 22
- What is the difference between the original ultralytics package and custom ultralytics package used in yolo-tracking
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