Obtain differentials from Text Position Data

[d-j-kendall]

@alpizano I have successfully extracted position data from the YoloV3 Network. You can see it in this 'cropped_short.mp4.txt' text file

The format of the data is as follows

Point 1 x-value	Point 1 y-value	Point 2 x-value	Point 2 y-value	Class Index	ConfidenceThreshold
782	136	872	191	1	0.919052
12	299	49	373	0	0.760167
745	130	831	182	1	0.836964
47	199	98	259	0	0.753106

Since Point 1 and Point 2 define a rectangle, fine the boxes center by finding the midpoint of the line defined by P1 and P2.

Then find the distance between this midpoint and the previously identified midpoint for the same class this will give you the relative velocity between frames of the video. Find the difference between these velocities to gain acceleration.

Find a way to define this into a file format then encode into polar coordinates. Or transform into polar then perform the above calculations. These values will then be fed into another network (i.e. predictive network) for training.

[d-j-kendall]

@alpizano Note, I changed the format. Now each line corresponds to a JSON array containing all detections from a specific frame. You can see an example here:

cropped_short.mp4.txt