Transferred my video tracing code from Matlab to Python. Uses OpenCV to accelerate processing.
This script processes one or multiple videos (.mov,...). Output: .csv file with tracing information and .png screenshot of the trace in the same folder as input video. See /example folder for test movie and output.
Example usage:
mouse_tracker3_multiple.py -s 10 -v 'example/olf5_1.mov'
-s: How many frames should be skipped-v: Video file to be processed; comma separated list possible
Dependencies:
- OpenCV 3.0
- Numpy
- Scipy
- imutils
- TQDM
This script processes the output .csv files of the tracing script (see above). Output: all_paths_[...].csv: Names and calculated distances (as example) of analyzed traces. [...].csv_3D.png: 3D representation of mouse path (path over time in seconds). group average.png: Group average of all analyzed .csv traces.
Example usage:
2D_histogram_multiple_3D.py -f "example"
-f: Give (top) folder of .csv files. Will search through folder tree for all available .csv files.
Dependencies:
- Numpy
- Scipy
- imutils
- Matplotlib
Example 3D trace:
