Py-denseflow
This is a python port of denseflow, which extract the videos' frames and optical flow images with TVL1 algorithm as default.
Requirements:
- numpy
- cv2
- PIL.Image
- multiprocess
- scikit-video (optional)
- scipy
Installation
Install the requirements:
pip install -r requirements.txt
# or
conda create -n py-denseflow python=3.6 anaconda numpy opencv multiprocess scipy sk-videoUsage
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.