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ultralytics 8.0.189 pin tensorflow<=2.13.0 to avoid tflite_support bug (#5140)

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Co-authored-by: Shreyesh <76511222+shreyesh0610@users.noreply.github.com>
Co-authored-by: Soumik Rakshit <19soumik.rakshit96@gmail.com>
Co-authored-by: Ryan Romanchuk <rromanchuk@gmail.com>
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Glenn Jocher 2023-09-29 01:01:22 +02:00 • committed by GitHub
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docs/modes/track.md
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@ -138,7 +138,7 @@ For a comprehensive list of tracking arguments, refer to the [ultralytics/cfg/tr
### Persisting Tracks Loop
Here is a Python script using OpenCV (`cv2`) and YOLOv8 to run object tracking on video frames. This script still assumes you have already installed the necessary packages (`opencv-python` and `ultralytics`). The `persist=True` argument tells the tracker than the current image or frame is the next in a sequence and to expect tracks from the previous image in the current image.
Here is a Python script using OpenCV (`cv2`) and YOLOv8 to run object tracking on video frames. This script still assumes you have already installed the necessary packages (`opencv-python` and `ultralytics`). The `persist=True` argument tells the tracker that the current image or frame is the next in a sequence and to expect tracks from the previous image in the current image.
!!! example "Streaming for-loop with tracking"