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Of the full distribution of possible video qualities one can take on a modern phone camera, the vast majority of video qualities will be fine for the AI to understand fine details. Obviously, if you somehow or for some reason, take a video with really bad quality, it will not give you what you want.
Same explanation goes for the walls. If you take a video of just a really dark wall with really bad holds, it is probably won't give you what you want either.
This is an end-end system that just takes in video frames. Camera parameters are one of the things that is predicted. It gives promising results for a wide variety of environments (cliffs, diff types of bouldering walls, diff outdoor walls, etc.), though not always accurate. Path planning is also part of the end-end system. Will share more details in the paper.