Hi, thank you so much for the great work!
I am now working on evaluation in habitat environment.
I found that by
python projects/habitat_ovmm/eval_baselines_agent.py --env_config projects/habitat_ovmm/configs/env/hssd_demo.yaml
it will be evaluated under the ovmm dataset by hssd_demo.yaml
EVAL_VECTORIZED: simulator_gpu_ids: [1, 2, 3, 4, 5, 6, 7] # IDs of GPUs to use for vectorized environments split: val # eval split num_episodes_per_env: null # number of eval episodes per environment record_videos: 0 # 1: record videos from printed images, 0: don't record_planner_videos: 0 # 1: record planner videos (if record videos), 0: don't metrics_save_freq: 5 # save metrics after every n episodes
however, i hope i can evaluate an episode where I can set the "object_category", "start_recep_category" and "goal_recep_category" by myself.
I am not sure how can i achieve this. I wonder if there are any hints or examples?
Thank you.
Hi, thank you so much for the great work!
I am now working on evaluation in habitat environment.
I found that by
python projects/habitat_ovmm/eval_baselines_agent.py --env_config projects/habitat_ovmm/configs/env/hssd_demo.yamlit will be evaluated under the ovmm dataset by hssd_demo.yaml
EVAL_VECTORIZED: simulator_gpu_ids: [1, 2, 3, 4, 5, 6, 7] # IDs of GPUs to use for vectorized environments split: val # eval split num_episodes_per_env: null # number of eval episodes per environment record_videos: 0 # 1: record videos from printed images, 0: don't record_planner_videos: 0 # 1: record planner videos (if record videos), 0: don't metrics_save_freq: 5 # save metrics after every n episodeshowever, i hope i can evaluate an episode where I can set the "object_category", "start_recep_category" and "goal_recep_category" by myself.
I am not sure how can i achieve this. I wonder if there are any hints or examples?
Thank you.