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LZQthePlane / Online-Realtime-Action-Recognition-based-on-OpenPose

A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
Apache License 2.0
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This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: AVX AVX2 #63

Open ncthong opened 3 years ago

ncthong commented 3 years ago

Hi guys, when i run main.py on my laptop with webcam, it's working but low FPS (1,25 ~ 1,75FPS) and it could not identify the action (just ID and Operate) And i tried run with video, this issue: 2020-07-30 16:25:00.278766: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: AVX AVX2 To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags. 2020-07-30 16:25:00.302019: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 4. Tune using inter_op_parallelism_threads for best performance. usage: main.py [-h] test_out/test222.mp4 main.py: error: the following arguments are required: test_out/test222.mp4

Anyone can you help me? Thanks so much

JoeQvQ commented 3 years ago

I met with the same question with you, I guess it may be because the project runs on CPU rather than GPU. If you want to run it with video, you can try to rewrite the function choose_run_mode(args) in utils.py, but it still works with low FPS.