Open hurkal opened 6 years ago
YOLO is an object detector, so it can detect the objects you need (Humans), with X accuracy (depending on your data and training). If you want to get human trajectories you can use YOLO to detect objects and feed these into SORT https://github.com/abewley/sort, which can do the tracking of each object.
If you don't want to connect YOLO with Sort, this person did it for you https://github.com/bendidi/Tracking-with-darkflow the running speed (fps) is not as great as running YOLO and Sort individual though, I guess it is due to the tensorflow implementation.
What requirements do you have? Offline or Online approach?
Thanks for quick answer. Planning online approach but I'm at the beginning of this task. So I have to test on offline data.
For an online approach I would try to train with tiny-yolo (much faster) and use SORT to do the tracking, just be aware that tiny-yolo is less precise compared to yolo.
I have implemented precisely that. What could I do to extract parameters needed for computing MOTA and MOTP?
@TheMikeyR Just a small question apart from the discussion when you say tiny-yolo is less precise, does that mean classification only or detection of an object as well ?
@ahsan856jalal for object detection as well, the mAP is in general much lower than yolov2 and yolov3. The tiny-yolo cfg is made to push performance over precision. (less layers, smaller resolution etc.) You can achieve higher precision with increasing resolution on tiny-yolo but it will ofc. be costly in terms of performance.
Hello. I need to give each human an ID and extract human trajectories from a video file or on webcam. Is darknet Yolo suitable for this job?