Comments (4)
The "just make it work" fix is to do ln -s /path/to/habitat-api/data
while in the folder for the different project's repo
from habitat-lab.
After changing the DATA_PATH to the absolute path of the config, I get:
~/svl/habitat/feature_selector/habitat-sim/habitat_sim/simulator.py in _config_backend(self, config)
52 def _config_backend(self, config: Configuration):
53 if self._sim is None:
---> 54 self._sim = hsim.SimulatorBackend(config.sim_cfg)
55 else:
56 self._sim.reconfigure(config.sim_cfg)
ValueError: Cannot load: data/scene_datasets/gibson/Adrian.glb
from habitat-lab.
You can create a new train pointnav dataset setup, the new setup will be mostly identical to the current setup, you can use the current pointnav_gibson.zip
as the starting point. The train dataset for Gibson is split over different houses, so the folder pointnav/gibson/v1/train/content
contains files like Adrian.json.gz
, Albertville.json.gz
which contains the different episodes inside the respective houses. Each episode
contains a scene_id
which is of the type data/scene_datasets/gibson/Adrian.glb
. You will have to modify this value to the location where you have stored the glbs.
Let me know if you have anymore questions and thanks for trying this out, I do recognize that this kind of setup is slightly convoluted and we are trying to simplify this setup for future.
from habitat-lab.
@bradleyemi with #77 we have parameter config.DATASET.SCENES_DIR
to control the location of scenes dataset and get rid of data
symlink requirement. Let us know if you have any questions regarding that and feel free to reopen the issue.
from habitat-lab.
Related Issues (20)
- AttributeError HOT 4
- I encountered an error while following the Habitat Sim Image Extractor Tutorial for image extraction. HOT 3
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- Key 'defrost' not in 'HabitatConfig' when evaluating EQA-CNN pre-trained model HOT 3
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- dataset download error HOT 9
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- Dataset Downloader
- Config path problem in Habitat-3.0 Multi-Agent Training
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- !!!! X Error of failed request: BadAccess (attempt to access private resource denied) HOT 1
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- Can not setup
- BrokenPipeError: [Errno 32] Broken pipe error While evaluating the trained Social Nav agent. HOT 1
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