jzhzhang
jzhzhang
I further check the episode files in Matterport Semantic V0.1, like 4ok3usBNeis.json. And I find the `goals` in the episode is empty. Is there any connection to the above question?...
The episodes_id is ```39``` and the scene_id is ```hm3d/val/00800-TEEsavR23oF/TEEsavR23oF.basis.glb``` The complete episode config is : ``` "episode_id": "39", "scene_id": "hm3d/val/00800-TEEsavR23oF/TEEsavR23oF.basis.glb", "scene_dataset_config": "./data/scene_datasets/hm3d/hm3d_annotated_basis.scene_dataset_config.json", "additional_obj_config_paths": [], "start_position": [1.95021, 0.16338, -5.66802], "start_rotation": [0,...
@erikwijmans Hi, I take a deep step into the code and data. Here is what i found: The scene ```hm3d/val/00800-TEEsavR23oF/TEEsavR23oF.basis.glb``` only have one toilet target, and the weird ```distance_to_goal``` comes...
Thanks for your time. I will figure out another way to train my agent.
@erikwijmans Hi, thanks for your kindy responce last time. I reopen this issue because I just found more weird results in the ```hm3d```. I try to evaluate my agent with...
@95ImadEL Hi, I meet the same problem with you. Have you found where is the mistake?
@95ImadEL I change the opencv 3.2 to 3.4, and everything works perfectly.
@note2020 I meet the same problem as you. And the #41 doesn't work. Do you find the solution?
Sorry for interrupting, I find the solution in another issue #9 .