octo_pick_coke_can_visual_matching.sh

gpu_id=0

declare -a policy_models=(
  "octo-base"
  # "octo-small"
  # "octo-server"
)

# lr_switch=laying horizontally but flipped left-right to match real eval; upright=standing; laid_vertically=laying vertically
declare -a coke_can_options_arr=("lr_switch=True" "upright=True" "laid_vertically=True")

# URDF variations
declare -a urdf_version_arr=(None "recolor_tabletop_visual_matching_1" "recolor_tabletop_visual_matching_2" "recolor_cabinet_visual_matching_1")

env_name=GraspSingleOpenedCokeCanInScene-v0
scene_name=google_pick_coke_can_1_v4
rgb_overlay_path=./ManiSkill2_real2sim/data/real_inpainting/google_coke_can_real_eval_1.png

for policy_model in "${policy_models[@]}"; do echo "$policy_model"; done


for urdf_version in "${urdf_version_arr[@]}";

do for policy_model in "${policy_models[@]}";

do for coke_can_option in "${coke_can_options_arr[@]}";

do CUDA_VISIBLE_DEVICES=${gpu_id} python simpler_env/main_inference.py --policy-model ${policy_model} --ckpt-path None \
  --robot google_robot_static  --policy-setup google_robot \
  --control-freq 3 --sim-freq 501 --max-episode-steps 80 \
  --env-name ${env_name} --scene-name ${scene_name} \
  --rgb-overlay-path ${rgb_overlay_path} \
  --robot-init-x 0.35 0.35 1 --robot-init-y 0.20 0.20 1 --obj-init-x -0.35 -0.12 5 --obj-init-y -0.02 0.42 5 \
  --robot-init-rot-quat-center 0 0 0 1 --robot-init-rot-rpy-range 0 0 1 0 0 1 0 0 1 \
  --additional-env-build-kwargs ${coke_can_option} urdf_version=${urdf_version};

done

done

done