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Is it possible to render environment to analyze the behavior of the trained agent?
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Hi @koriavinash1, Yes, if you enable RGB sensor you can save RGB observations during navigation as video using code from this PR: https://github.com/facebookresearch/habitat-api/pull/48/files.
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Fix coordinate transforms (#61)
1c38836
Fix weird coordinate transform Fix geo::CoordinateFrame
Yet another alternative is to enable a TOP_DOWN_MAP sensor (as it was done in the shortest_path_follower_example.py). Visualisation examples are demonstrated in the visualization_examples.py too.
TOP_DOWN_MAP
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Is it possible to render environment to analyze the behavior of the trained agent?
The text was updated successfully, but these errors were encountered: