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Hi! When I wanted to run the zer/objectnav dataset , it occurred an error as followed:
File "anaconda3/envs/zsvlnhl/lib/python3.8/site-packages/habitat_sim/simulator.py", line 200, in _config_backend
super().init(config.sim_cfg, config.metadata_mediator)
AssertionError: ESP_CHECK failed: Missing (at least) one of scene dataset attributes, stage attributes, or dataset scene attributes for scene 'data/scene_datasets/gibson_semantic/Markleeville.glb'. Likely an invalid scene name.
But I cannot find the dataset "data/scene_datasets/gibson_semantic" . Can you please inform me the link of the dataset ? Thank you very much!
It looks that the Gibson dataset is missing or not in the correct path. You can download the Gibson dataset from here and the relevant semantic annotations from here. Make sure that the downloaded dataset is in the correct path data/scene_datasets/gibson_semantic or change that path in the configuration file.
Hi! When I wanted to run the zer/objectnav dataset , it occurred an error as followed:
File "anaconda3/envs/zsvlnhl/lib/python3.8/site-packages/habitat_sim/simulator.py", line 200, in _config_backend
super().init(config.sim_cfg, config.metadata_mediator)
AssertionError: ESP_CHECK failed: Missing (at least) one of scene dataset attributes, stage attributes, or dataset scene attributes for scene 'data/scene_datasets/gibson_semantic/Markleeville.glb'. Likely an invalid scene name.
But I cannot find the dataset "data/scene_datasets/gibson_semantic" . Can you please inform me the link of the dataset ? Thank you very much!
some config:
habitat:
environment:
type: "gibson"
max_episode_steps: 100
simulator:
turn_angle: 30
tilt_angle: 30
action_space_config: "v1"
agent_0:
sensors: ['rgb_sensor']
height: 0.88
radius: 0.18
habitat_sim_v0:
gpu_device_id: 0
allow_sliding: False
rgb_sensor:
width: 128
height: 128
hfov: 79
position: [0, 0.88, 0]
task:
type: ObjectNav-v1
end_on_success: True
reward_measure: "distance_to_goal_reward"
success_measure: "spl"
dataset:
type: ObjectNav-v1
split: train
data_path: "data/datasets/zer/objectnav/gibson/v1/{split}/{split}.json.gz"
scenes_dir: "data/scene_datasets/"
habitat_baselines:
base_task_config_path: "exp_config/base_task_config/objectnav_gibson.yaml"
cmd_trailing_opts: ["habitat.environment.iterator_options.max_scene_repeat_steps", "50000"]
simulator_gpu_id: 0
torch_gpu_id: 0
video_option: []
tensorboard_dir: "tb"
video_dir: "video_dir"
test_episode_count: -1
eval_ckpt_path_dir: "data/new_checkpoints"
num_environments: 4
sensors: ["rgb_sensor"]
num_updates: 270000
log_interval: 10
num_checkpoints: 100
Force PyTorch to be single threaded as
this improves performance considerably
force_torch_single_threaded: True
eval:
use_ckpt_config: False
split: val
rl:
policy:
name: "NavNetPolicy"
habitat:
simulator:
turn_angle: 30
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