Extract key frames from Amanpreet Walia.
This project is used to extract subtitles from the video. First, the key frames is extracted from the video, and then the subtitle area of the frame picture is cropped, and the text is recognized by the OCR.
- OpenCV-Python (used for basic video processing e.g. read-frame-stream, crop, frame-diff, processing-gui)
- PyTesseract (only use its
image_to_string(img, lang)) - NumPy (
smoothfilter) (find it here) - SciPy (
signal.argrelextrema) - StrsimPy (
NormalizedLevenshteinstring similiarity) - Matplotlib (draw frame differences stem plot)
- ProgressBar
Install missing dependences first using pip install -r requirements.txt
Download and (try) run it, select language support in tesseract --list-lang if you want.
λ python extract_subtitles.py <videopath>
./extract_subtitles.py -crop '0(907,940)[101,77]' -lang eng a.flv ; ./timeline_ops.py merge frames/a.flv/timeline.txt 0|./timeline_ops.py to-lrc 1 srt >a.srt
# srt Audacity ops referTo my GH:mkey/yy/atag2srt
#and GH:tv/arecog.sh , GH:MontagePy/_1c
# export OPENCV_OPENCL_DEVICE='Clover' # if VideoReader fails
./extract_subtitles.py -crop '0(883,484)[134,120]' -lang index --chunk-size 600 --crop-debug a.flv
./montage1_c.py -font /usr/share/fonts/wenquanyi/*/wqy-zenhei.ttc a.mp4 --subtitle b.srt -font-size 25 --mon-background '#6e6c39' --subtitle-placeholder 好 -spacing :5,3 -key-color '#000000' --key-thres 3
This project is licensed under the MIT License - see LICENSE for details