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mushroom_rl_recordings/ | ||
record_all/ | ||
_build/ | ||
*.png | ||
*.ply | ||
*.mov | ||
*.mp4 | ||
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Submodule Depth-Anything
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# Humanoid at Home Depth Estimation | ||
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## Demos | ||
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Depth Estimation | ||
``` | ||
python src/model/evaluate.py | ||
``` | ||
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3D Scene Reconstruction | ||
## Benchmark | ||
You can run the leaderboard benchmark locally at: | ||
``` | ||
py src/leaderboard/app.py | ||
``` | ||
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## Instructions | ||
## Experimental | ||
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1. run_video_depth_only.py: Get depth estimation inference frames from video | ||
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2. depth_to_pc.py: Get point clouds for each frame in video, by cross referencing original (*_OG.png) and generated depth frames. Change camera intrinsics appropriately to generate accurate point clouds. | ||
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3. video_pc_testing.py: To test camera view ports, angles, and positions to generate a point cloud video | ||
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4. video_pc_actual.py: generate point cloud video, camera rotates on x-y plane in a circle for 3d effects. Utilizes parameters found after video_pc_testing.py. | ||
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5. video_pc_mesh.py: generates mesh from pointcloud, using KDTree for normal estimation and Poisson Surface Reconstruction for creating smooth, detailed surfaces | ||
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## Requirements | ||
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environment.yml | ||
## Errors |
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