This is a python port of denseflow, which extract the videos' frames and optical flow images with TVL1 algorithm as default.

• numpy
• cv2
• PIL.Image
• multiprocess
• scikit-video (optional)
• scipy

pip install -r requirements.txt

The denseflow.py contains two modes including 'run' and 'debug'.

here 'debug' is built for debugging the video paths and video-read methods. (IPython.embed suggested)

Just simply run the following code:

python denseflow.py --new_dir=denseflow_py --num_workers=1 --step=1 --bound=20 --mode=debug

While in 'run' mode, here we provide multi-process as well as multi-server with manually s_/e_ IDs setting.

for example: server 0 need to process 3000 videos with 4 processes parallelly working:

python denseflow.py --new_dir=denseflow_py --num_workers=4 --step=1 --bound=20 --mode=run --s_=0 --e_=3000

Just feel free to let me know if any bugs exist.