Comments (4)
Thank you for the reply, If you don't mind, could you please suggest any alternative repo for the same ID for the object when it passes through multi-camera frames? OR How can I achieve this task by customizing this existing track.py file it would be very helpful :) thank you!!!!
You need a homography to a "global" coordinate space, and then do tracking in that space, and then you can use the reverse of the homography for each camera from the global space. Basically NMS on centroids that have been converted to the global space after all cameras are processed and a custom tracking of ID reference/mapping sets.
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You have two options:
# Multiple streams with batched inference (i.e. batch-size 8 for 8 streams)
source = 'path/to/list.streams' # *.streams text file with one streaming address per row
or:
# Define a path to a CSV file with images, URLs, videos and directories
source = 'path/to/file.csv'
same ID for the object when it passes through these camera frames?
This we don't support
from yolo_tracking.
Thank you for the reply,
If you don't mind, could you please suggest any alternative repo for the same ID for the object when it passes through multi-camera frames?
OR How can I achieve this task by customizing this existing track.py file
it would be very helpful :)
thank you!!!!
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from yolo_tracking.
Related Issues (20)
- About using CLIP-ReID model HOT 3
- tracking time HOT 1
- How to save precision to two decimal places in a mot file.
- Cosine similarity between CLIP-Reid features of this repo and original repo HOT 2
- 'types.SimpleNamespace' object has no attribute 'det_thresh' HOT 4
- AttributeError: 'DeepOCSort' object has no attribute 'reset' HOT 1
- Yolov5 support as a detector HOT 6
- Add Counter to count the classes detected HOT 2
- 3 Questions: 1. AttributeError: 'DeepOCSort' object has no attribute 'reset', 2. yolov5 model support, 3. Applying custom pre-trained yolo model + tracker HOT 4
- bytetracker silent or verbose=0? HOT 5
- Error in `resize` under multibackend postprocess when using custom detector HOT 8
- Error when running tracking part CUDA_VISIBLE_DEVICES="1" python examples/track.py --yolo-model yolov8s --source /data/video_batch_fps_10_1.mp4 HOT 2
- Predict next Location boudingbox of object HOT 2
- How to replace yolov8 with yolov9 HOT 7
- Train yolo on mot dataset HOT 7
- Centroid-based association in OCSORT keeps switching IDs for the same detection HOT 5
- Tracking based on off-the-shelf detections and features HOT 25
- How to incorporate a black box Reid model ? HOT 2
- Incorporate depth information to further enhance crowded scene and occlusions. HOT 3
- val benchmark==MOT20 BUG HOT 3
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