[Question]: Transforms size keep growing.

[naserpiltan]

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Describe your Question

Hello and thank you for sharing your great work. I was testing the code provided in the video stabilization library and bumped into something weird at this line : https://github.com/abhiTronix/vidgear/blob/3572ef37439473fc44405684eb7d3938b50b9a2e/vidgear/gears/stabilizer.py#L283-L286 I checked the size of the self.__transforms variable and noticed that it keeps increasing throughout the video. If you use a camera for live-streaming and let it run for a long time, it will consume and eventually exhaust the memory. I tried to fix it by changing it to a queue and removing the first item at the end of each frame, but it worsened the final result. I wanted to ask you if this was intentional or a bug.

Terminal log output(Optional)

No response

Python Code(Optional)

No response

VidGear Version

0.3.0

Python version

3.8.0

Operating System version

Windows

Any other Relevant Information?

No response

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[abhiTronix]

Hello and thank you for sharing your great work. I was testing the code provided in the video stabilization library and bumped into something weird at this line :

vidgear/vidgear/gears/stabilizer.py

Lines 283 to 286 in 3572ef3

save this transformation

self.__transforms.append([dx, dy, da])

calculate path from cumulative transformations sum

I checked the size of the self.__transforms variable and noticed that it keeps increasing throughout the video. If you use a camera for live-streaming and let it run for a long time, it will consume and eventually exhaust the memory. I tried to fix it by changing it to a queue and removing the first item at the end of each frame, but it worsened the final result. I wanted to ask you if this was intentional or a bug.

@naserpiltan Thanks for sharing this insight. Yeah, it was intentional. In stabilizer, Once we have estimated the motion(rigid (Euclidean) transformation), we decompose it into x and y translation and rotation (angle). We store these transformation values in an array so we can change them smoothly. Also, we find the trajectory of motion by cumulatively adding the differential motion estimated.

But I agree, storing all transformation throught is not necessary or logical but instead storing them w.r.t to our window size is the better way to handle them. So I'll see if it can be replaced with deque or something similar, and let you know.

[abhiTronix]

@naserpiltan There's no immediate solution for this issue as transformations cannot be simply deleted from queue, as we require cumulative sum of all transformations. I'll see this problem later.