Datasets:
Modalities:
Image
Languages:
English
ArXiv:
Tags:
Visual Nagivation
Proxy Map
Waypoint
Reinforcement Learning
Contrastive Learning
Intuitive Robot Motion Intent Visualization
DOI:
License:
Add 480p description
Browse files
README.md
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@@ -64,7 +64,7 @@ where the main landmark annotation scripts ```makeData_virtual.py``` and ```make
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|--rgb_<FRAME_ID>.jpg
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|--depth_<FRAME_ID>.jpg
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```
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where ```<SCENE_ID>``` matches exactly the original one in [Gibson](https://github.com/StanfordVL/GibsonEnv/blob/master/gibson/data/README.md) and [Matterport](https://aihabitat.org/datasets/hm3d/) run by the photo-realistic simulator [Habitat](https://github.com/facebookresearch/habitat-sim). Images are saved in either ```.jpg``` or ```.png``` format. Note that ```rgb``` images are the main visual representation while ```depth``` is the auxiliary visual information captured only in the virtual environment.
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```worker_graph.json``` stores the meta data in dictionary in Python saved in ```json``` file with the following format:
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|--rgb_<FRAME_ID>.jpg
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|--depth_<FRAME_ID>.jpg
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```
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+
where ```<SCENE_ID>``` matches exactly the original one in [Gibson](https://github.com/StanfordVL/GibsonEnv/blob/master/gibson/data/README.md) and [Matterport](https://aihabitat.org/datasets/hm3d/) run by the photo-realistic simulator [Habitat](https://github.com/facebookresearch/habitat-sim). Images are saved in either ```.jpg``` or ```.png``` format. Note that ```rgb``` images are the main visual representation while ```depth``` is the auxiliary visual information captured only in the virtual environment. Real-world RGB images are downsampled to a ```640 × 480``` resolution noted by ```480p``` in a trajectory folder name.
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```worker_graph.json``` stores the meta data in dictionary in Python saved in ```json``` file with the following format:
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