Authors: John Trager and Daniel Stefenascu
Presentation Slides (click image to open slides):
Make sure that your python env has the correct deps (as specified in requirements.txt)
To run the homography transform use the file run.py
python3 run.py -i <image path> --points_in <image points on input plane> --points_out <image points on output plane> -c <compression number>
Run on example:
python3 run.py -i test_data/tv.jpg --points_in "[[280,120],[504,295],[450,534],[184,560]]" --points_out "[[0,0],[0,200],[200,200],[200,0]" -c 4
Argument descriptions:
-h, --help show this help message and exit
-i IMG, --img IMG <Required> path to image to be transformed
--points_in POINTS_IN
<Required> 4 points 1st img plane, points should be clockwise ordered "[[x1,y1],[x2,y2],...]"
--points_out POINTS_OUT
<Required> 4 points for 2nd img plane, points should be clockwise ordered "[[x1,y1],[x2,y2],...]"
-c COMPRESSION, --compression COMPRESSION
<Optional> scale/compression number
The points_in flag takes in point pairs [x,y]. These points must be in clockwise order starting from the top left point, likewise for the points_out flag.