Hi, I have a large stack of videos(~95gb). Each video is around 20 minutes long in which there are faces in every frame. The aspect ratio is consistent in each video. I was trying to get faces from YuNet but it is terribly slow for this large corpus of data. Can anyone tell me how can I increase the detection speed? I looked at the opencv cuda documentation but couldn’t find any cuda support for YuNet. Should I just make it parallel using python’s multiprocessing library?
Related Topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Net.forward( ) is taking much time to compute while detecting faces | 11 | 426 | February 15, 2021 | |
| YuNet face detection is returning face rect with extremely large values | 4 | 805 | March 27, 2023 | |
| Cv.dnn.forward takes 3x times more when using with gstreamer | 7 | 620 | February 26, 2022 | |
| Increase performance of DNN model inference | 0 | 360 | December 14, 2023 | |
| How to detect objects with Cpp and DNN, CUDA | 6 | 1311 | May 26, 2021 |