I have continuous videos taken from two cameras placed on up right and up left corners of my car's windshield (please note that they are not fixed to each other, and I aligned them approximately straight). Now I am trying to make a 3D point cloud out of that and have no idea how to do that. I surfed the internet a lot and still couldn't find any useful info. Can you send me some links or hints on how can I make that work in Python.
You can try the stereo matching and point cloud generation implementation in the OpenCV library. Start with this short Python sample.
I suppose that you have two independent video streams that are not exactly synchronized. You will have to synchronize them first, because the linked sample expects two images, not videos. Extract images from videos using OpenCV or ffmpeg and find an image pair that shares exactly the same timepoint (e.g. green appearing on a traffic light). Alternatively you can use the audio tracks for synchronization, see https://github.com/benkno/audio-offset-finder. Beware: synchronization based on a single frame pair or a short audio excerpt will probably work only for few minutes before and after the synchronized timepoint.