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distractor_objects.yaml
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distractor_objects.yaml
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data:
# Where to save the demos
save_path: /tmp/rlbench_data/
# The size of the images to save
image_size: [256, 256]
# The renderer to use. Either opengl or opengl3. The first has no shadows
renderer: opengl
# The number of episodes to collect per task
episodes_per_task: 5
# The image types that will be recorded
images:
rgb: True
depth: False
mask: False
point_cloud: True
# The cameras that we will be enabled
cameras:
left_shoulder: False
right_shoulder: False
overhead: False
wrist: False
front: True
# Store depth as 0 - 1
depth_in_meters: False
# We want to save the masks as rgb encodings.
masks_as_one_channel: False
env:
task_name: "open_drawer"
seed: 42
scene:
factors:
- variation: object_color
name: manip_obj_color
enabled: False
targets: [drawer_frame,
drawer_legs,
drawer_bottom,
drawer_middle,
drawer_top]
seed: ${env.seed}
- variation: object_size
name: manip_obj_size
enabled: False
targets: [drawer_frame]
scale_range: [0.8, 1.0]
seed: ${env.seed}
- variation: light_color
enabled: False
targets: [DefaultLightA, DefaultLightB, DefaultLightD]
color_range: [[0.0, 0.0, 0.0], [0.5, 0.5, 0.5]]
seed: ${env.seed}
- variation: table_texture
enabled: False
seed: ${env.seed}
- variation: table_color
enabled: False
color_range: [[0.25, 0.25, 0.25], [1.0, 1.0, 1.0]]
seed: ${env.seed}
- variation: background_texture
enabled: False
seed: ${env.seed}
- variation: distractor_object
enabled: True
targets: [spawn_boundary0]
num_objects: 2
seed: ${env.seed}
- variation: camera_pose
enabled: False
targets: [cam_front,
cam_over_shoulder_left,
cam_over_shoulder_right]
euler_range: [[-0.05, -0.05, -0.05], [0.05, 0.05, 0.05]]
position_range: [[-0.1, -0.1, -0.1], [0.1, 0.1, 0.1]]
seed: ${env.seed}