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obendidi / Tracking-with-darkflow

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
GNU General Public License v3.0
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realtime detection and tracking #73

Open crystinaa opened 6 years ago

crystinaa commented 6 years ago

@bendidi @Jumabek Can u please let me know how did u manage to detect and track in real time.... because even the darknet implementation of yolov3 is not realtime on CPU it gives 0.4 fps on CPU that too for detection only... While your implementation gives me speed of 2.4 fps with detection as well as tracking on CPU

fakturk commented 5 years ago

you need gpu for real time detection it is impossible to achieve that numbers with only CPU if you planning to use only CPU I recommend to use opencv's own yolo library, it is faster than only yolo (there is a comparison o the following link https://www.learnopencv.com/deep-learning-based-object-detection-using-yolov3-with-opencv-python-c/)