Comments (4)
Hi,
I am glad you liked my repo!
There is no possibility of batch processing of multiple frames at the moment
from yolo_tracking.
Thanks for your reply!
I think you don't get my point.
In your code, every frame is extracted and then detected and tracked.
What I want to know is that is it possible to extract every few frames and then detect and track, instead of extracting each frame from the video.
You know that when the video is too long, extracting each frame will be time-consuming.
from yolo_tracking.
What you ask for is not possible at the moment. That would cause problems when rebuilding the video with detections as the frame rate wouldn't be the same as the original video source. If you still want to do this you could just continue
the frame_idx, (path, img, im0s, vid_cap) in enumerate(dataset):
loop for a certain amount of frames
from yolo_tracking.
Hello, thank you for the wonderful repository. It is indeed very helpful. What if I want to just save the images for individual person/ID ? Can I increase the processing speed ?
from yolo_tracking.
Related Issues (20)
- how can i evaluate on first half of MOT17 ? HOT 2
- AttributeError: 'DeepOCSort' object has no attribute 'reset' HOT 5
- How to use this repository for Multi-camera and multi object tracking HOT 4
- Adding support for SparseTrack? HOT 2
- After tracking the model using trt, will appear IndexError: index 3 is out of bounds for axis 0 with size 3 HOT 5
- Where is the OCSortKalmanFilterAdapter? I can't find it HOT 2
- Prediction on new frames without YOLO detection HOT 3
- adapt to more new technological solutions HOT 1
- Any Vehicle ReID Models? HOT 3
- numpy version HOT 2
- Results for multiple classes HOT 1
- Can we use evolve.py for HybridSORT? HOT 2
- DeepOcsort with different ReID models HOT 2
- 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
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