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https://github.com/antiboredom/camera-motion-detector
Uses opencv to detect when a camera is panning or zooming.
https://github.com/antiboredom/camera-motion-detector
camera opencv video
Last synced: 6 days ago
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Uses opencv to detect when a camera is panning or zooming.
- Host: GitHub
- URL: https://github.com/antiboredom/camera-motion-detector
- Owner: antiboredom
- Created: 2022-10-24T22:01:36.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-05T04:49:44.000Z (about 1 year ago)
- Last Synced: 2024-04-16T08:55:02.326Z (7 months ago)
- Topics: camera, opencv, video
- Language: Python
- Homepage:
- Size: 4.47 MB
- Stars: 80
- Watchers: 2
- Forks: 6
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Camera Motion Detection
This project uses optical flow to determine camera motion (pans and zooms).
NOTE: I'm not great at CV stuff so please excuse the probably not-ideal way of doing things here. And big thanks to Golan Levin and Alexander Porter for helping me figure it out...
## Usage
`detect.py` will analyze a video frame by frame and record a `csv` file containing average camera motion angle, magnitude and "zoom factor." Zoomy-ness is determined by what percentage of pixels appear to be moving *away* from the center of the image.
To run:
```
python detect.py somevideo.mp4
```
If you have CUDA you can run the GPU optimized version with:
```
python detect.py somevideo.mp4 --gpu
```
You can also preview the analysis with:
```
python detect.py somevideo.mp4 --preview
```
### Rendering out different camera motions
You can make use of the generated `csv` file in a few different ways. I've also included a `render.py` script that attempts to extract zooming and panning shots (your mileage may vary with it!).
To save out all the zoom shots:
```
python render.py somevideo.mp4 --zooms --output zooms.mp4
```
If you have mpv installed you can also preview this without rendering a new file:
```
python render.py somevideo.mp4 --zooms --preview
```
For panning shots, specify the desired panning angle like so:
```
python render.py somevideo.mp4 --pans --angle 180
```
## Installation
### CPU
Install the requirements with:
```
pip install -r requirements.txt
```
You're done!
### GPU
If you've got an nvidia card you can use the GPU version which is significantly faster. You need opencv with cuda which you can either compile yourself or use a [docker image](https://github.com/Fizmath/Docker-opencv-GPU).