https://github.com/princep/mobile-computing-project
Mobile Computing Project
https://github.com/princep/mobile-computing-project
ffmpeg opencv tutorial
Last synced: 7 months ago
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Mobile Computing Project
- Host: GitHub
- URL: https://github.com/princep/mobile-computing-project
- Owner: PrinceP
- Created: 2016-10-16T13:31:37.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-10-18T15:28:13.000Z (over 9 years ago)
- Last Synced: 2025-02-23T06:29:08.410Z (12 months ago)
- Topics: ffmpeg, opencv, tutorial
- Language: Python
- Size: 9.14 MB
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Mobile-Computing-Project
opencv 3.1.0
python 2.7
numpy
sciket
ffmpeg
#1: Convert the given video to frames
frame_generation.py
usage
python frame_generation.py --input sample_vid.mp4 --output sample_frame --frames .1
--input full path to video
--output folder where frames will be stored
--frames fps in float format only.
It will create a folder of given output, based on the frame per sec argument. Default fps is 1.
Required - ffmpeg
https://www.ffmpeg.org/
#2: Removal of blurred images
image_blur.py
usage
python image_blur.py --images Frames --threshold 1000
--images Folder containing frames
--threshold Can be varied,Default value is set to 100
Tutorial
http://www.pyimagesearch.com/2015/09/07/blur-detection-with-opencv/
#3: Ground plane detection
usage
python groundplane_detection.py --image GroundPlane/images00495.png --out Screenshots/GP1
--image input image
--out output name for image file
Tutorial
http://docs.opencv.org/3.1.0/d3/db4/tutorial_py_watershed.html
#4: Superpixels
usage
python super_pixel.py --image GroundPlane/images00495.png --pixels 400
--image image file
--pixels number of segments
Tutorial
http://www.pyimagesearch.com/2014/07/28/a-slic-superpixel-tutorial-using-python/
