├── classification
├── video
│ ├── models
│ │ └── __init__.py
│ ├── run.sh
│ └── configs
│ │ └── config_tsm_video.json
└── image
│ └── configs
│ ├── config_resnet2.json
│ └── config_resnet.json
├── Languages
├── 0.npy
├── 1.npy
├── 2.npy
├── 3.npy
├── 4.npy
├── 5.npy
├── 6.npy
├── 7.npy
├── 8.npy
├── 9.npy
├── 10.npy
├── 100.npy
├── 101.npy
├── 102.npy
├── 103.npy
├── 104.npy
├── 105.npy
├── 106.npy
├── 107.npy
├── 108.npy
├── 109.npy
├── 11.npy
├── 110.npy
├── 111.npy
├── 112.npy
├── 113.npy
├── 114.npy
├── 115.npy
├── 116.npy
├── 117.npy
├── 118.npy
├── 119.npy
├── 12.npy
├── 120.npy
├── 121.npy
├── 122.npy
├── 123.npy
├── 124.npy
├── 125.npy
├── 126.npy
├── 127.npy
├── 128.npy
├── 129.npy
├── 13.npy
├── 130.npy
├── 131.npy
├── 132.npy
├── 133.npy
├── 134.npy
├── 135.npy
├── 136.npy
├── 137.npy
├── 138.npy
├── 139.npy
├── 14.npy
├── 140.npy
├── 141.npy
├── 142.npy
├── 143.npy
├── 144.npy
├── 145.npy
├── 146.npy
├── 147.npy
├── 148.npy
├── 149.npy
├── 15.npy
├── 150.npy
├── 151.npy
├── 152.npy
├── 153.npy
├── 154.npy
├── 155.npy
├── 156.npy
├── 157.npy
├── 158.npy
├── 159.npy
├── 16.npy
├── 160.npy
├── 161.npy
├── 162.npy
├── 163.npy
├── 164.npy
├── 165.npy
├── 166.npy
├── 167.npy
├── 168.npy
├── 169.npy
├── 17.npy
├── 170.npy
├── 171.npy
├── 172.npy
├── 173.npy
├── 18.npy
├── 19.npy
├── 20.npy
├── 21.npy
├── 22.npy
├── 23.npy
├── 24.npy
├── 25.npy
├── 26.npy
├── 27.npy
├── 28.npy
├── 29.npy
├── 30.npy
├── 31.npy
├── 32.npy
├── 33.npy
├── 34.npy
├── 35.npy
├── 36.npy
├── 37.npy
├── 38.npy
├── 39.npy
├── 40.npy
├── 41.npy
├── 42.npy
├── 43.npy
├── 44.npy
├── 45.npy
├── 46.npy
├── 47.npy
├── 48.npy
├── 49.npy
├── 50.npy
├── 51.npy
├── 52.npy
├── 53.npy
├── 54.npy
├── 55.npy
├── 56.npy
├── 57.npy
├── 58.npy
├── 59.npy
├── 60.npy
├── 600.npy
├── 601.npy
├── 602.npy
├── 603.npy
├── 604.npy
├── 605.npy
├── 606.npy
├── 607.npy
├── 608.npy
├── 609.npy
├── 61.npy
├── 610.npy
├── 611.npy
├── 612.npy
├── 62.npy
├── 63.npy
├── 64.npy
├── 65.npy
├── 66.npy
├── 67.npy
├── 68.npy
├── 69.npy
├── 70.npy
├── 71.npy
├── 72.npy
├── 73.npy
├── 74.npy
├── 75.npy
├── 76.npy
├── 77.npy
├── 78.npy
├── 79.npy
├── 80.npy
├── 81.npy
├── 82.npy
├── 83.npy
├── 84.npy
├── 85.npy
├── 86.npy
├── 87.npy
├── 88.npy
├── 89.npy
├── 90.npy
├── 91.npy
├── 92.npy
├── 93.npy
├── 94.npy
├── 95.npy
├── 96.npy
├── 97.npy
├── 98.npy
├── 99.npy
└── useBert.py
├── configs
├── init
│ ├── q.npy
│ ├── dq.npy
│ ├── orn.npy
│ ├── pos.npy
│ ├── pose.npy
│ └── gripper.npy
├── camera_parameters
│ ├── params.npy
│ ├── calibration.pckl
│ ├── cameraExPar.npy
│ ├── handeye.txt
│ └── results.txt
└── classification
│ ├── pretrained
│ ├── config_model1.json
│ ├── config_model1_224.json
│ └── config_model1_left_right.json
│ └── config_model1.json
├── resources
├── textures
│ ├── text1.jpg
│ ├── text2.jpg
│ ├── text3.jpg
│ ├── text4.jpg
│ ├── text5.jpg
│ ├── text6.jpg
│ ├── text7.jpg
│ ├── text8.jpg
│ ├── backup
│ │ ├── 1.jpg
│ │ ├── 2.jpg
│ │ ├── 3.jpg
│ │ ├── bg2.jpg
│ │ ├── bg3.jpg
│ │ ├── bg3.png
│ │ ├── bg1.jpeg
│ │ ├── tex256.png
│ │ ├── resizeimg.jpg
│ │ └── real_textures (copy)
│ │ │ ├── 0.jpg
│ │ │ ├── 1.jpg
│ │ │ ├── 2.jpg
│ │ │ └── table_texture.jpg
│ ├── texture1.jpg
│ ├── real_textures
│ │ ├── 1.jpg
│ │ └── .nfs00000000001064da00000057
│ ├── sun_textures
│ │ ├── 0.jpg
│ │ ├── 1.jpg
│ │ ├── 10.jpg
│ │ ├── 11.jpg
│ │ ├── 12.jpg
│ │ ├── 13.jpg
│ │ ├── 14.jpg
│ │ ├── 15.jpg
│ │ ├── 16.jpg
│ │ ├── 17.jpg
│ │ ├── 18.jpg
│ │ ├── 19.jpg
│ │ ├── 2.jpg
│ │ ├── 20.jpg
│ │ ├── 21.jpg
│ │ ├── 22.jpg
│ │ ├── 23.jpg
│ │ ├── 24.jpg
│ │ ├── 25.jpg
│ │ ├── 26.jpg
│ │ ├── 27.jpg
│ │ ├── 28.jpg
│ │ ├── 29.jpg
│ │ ├── 3.jpg
│ │ ├── 30.jpg
│ │ ├── 31.jpg
│ │ ├── 32.jpg
│ │ ├── 33.jpg
│ │ ├── 34.jpg
│ │ ├── 35.jpg
│ │ ├── 36.jpg
│ │ ├── 37.jpg
│ │ ├── 38.jpg
│ │ ├── 39.jpg
│ │ ├── 4.jpg
│ │ ├── 40.jpg
│ │ ├── 41.jpg
│ │ ├── 42.jpg
│ │ ├── 43.jpg
│ │ ├── 44.jpg
│ │ ├── 45.jpg
│ │ ├── 46.jpg
│ │ ├── 47.jpg
│ │ ├── 48.jpg
│ │ ├── 49.jpg
│ │ ├── 5.jpg
│ │ ├── 50.jpg
│ │ ├── 51.jpg
│ │ ├── 52.jpg
│ │ ├── 53.jpg
│ │ ├── 54.jpg
│ │ ├── 55.jpg
│ │ ├── 56.jpg
│ │ ├── 57.jpg
│ │ ├── 58.jpg
│ │ ├── 59.jpg
│ │ ├── 6.jpg
│ │ ├── 60.jpg
│ │ ├── 61.jpg
│ │ ├── 62.jpg
│ │ ├── 63.jpg
│ │ ├── 64.jpg
│ │ ├── 65.jpg
│ │ ├── 66.jpg
│ │ ├── 67.jpg
│ │ ├── 68.jpg
│ │ ├── 69.jpg
│ │ ├── 7.jpg
│ │ ├── 70.jpg
│ │ ├── 71.jpg
│ │ ├── 72.jpg
│ │ ├── 73.jpg
│ │ ├── 74.jpg
│ │ ├── 75.jpg
│ │ ├── 76.jpg
│ │ ├── 77.jpg
│ │ ├── 78.jpg
│ │ ├── 79.jpg
│ │ ├── 8.jpg
│ │ ├── 80.jpg
│ │ ├── 81.jpg
│ │ ├── 82.jpg
│ │ ├── 83.jpg
│ │ ├── 84.jpg
│ │ ├── 85.jpg
│ │ ├── 86.jpg
│ │ ├── 87.jpg
│ │ ├── 88.jpg
│ │ ├── 89.jpg
│ │ ├── 9.jpg
│ │ ├── 90.jpg
│ │ ├── 91.jpg
│ │ ├── 92.jpg
│ │ ├── 93.jpg
│ │ ├── 94.jpg
│ │ ├── 95.jpg
│ │ ├── 96.jpg
│ │ ├── 97.jpg
│ │ ├── 98.jpg
│ │ ├── 99.jpg
│ │ ├── 100.jpg
│ │ ├── 101.jpg
│ │ ├── 102.jpg
│ │ ├── 103.jpg
│ │ ├── 104.jpg
│ │ ├── 105.jpg
│ │ ├── 106.jpg
│ │ ├── 107.jpg
│ │ ├── 108.jpg
│ │ ├── 109.jpg
│ │ ├── 110.jpg
│ │ ├── 111.jpg
│ │ ├── 112.jpg
│ │ ├── 113.jpg
│ │ ├── 114.jpg
│ │ ├── 115.jpg
│ │ ├── 116.jpg
│ │ ├── 117.jpg
│ │ ├── 118.jpg
│ │ ├── 119.jpg
│ │ ├── 120.jpg
│ │ ├── 121.jpg
│ │ ├── 122.jpg
│ │ ├── 123.jpg
│ │ ├── 124.jpg
│ │ ├── 125.jpg
│ │ ├── 126.jpg
│ │ ├── 127.jpg
│ │ ├── 128.jpg
│ │ ├── 129.jpg
│ │ ├── 130.jpg
│ │ ├── 131.jpg
│ │ ├── 132.jpg
│ │ ├── 133.jpg
│ │ ├── 134.jpg
│ │ ├── 135.jpg
│ │ ├── 136.jpg
│ │ ├── 137.jpg
│ │ ├── 138.jpg
│ │ ├── 139.jpg
│ │ ├── 140.jpg
│ │ ├── 141.jpg
│ │ ├── 142.jpg
│ │ ├── 143.jpg
│ │ ├── 144.jpg
│ │ ├── 145.jpg
│ │ ├── 146.jpg
│ │ ├── 147.jpg
│ │ ├── 148.jpg
│ │ ├── 149.jpg
│ │ ├── 150.jpg
│ │ ├── 151.jpg
│ │ ├── 152.jpg
│ │ ├── 153.jpg
│ │ ├── 154.jpg
│ │ ├── 155.jpg
│ │ ├── 156.jpg
│ │ ├── 157.jpg
│ │ ├── 158.jpg
│ │ ├── 159.jpg
│ │ ├── 160.jpg
│ │ ├── 161.jpg
│ │ ├── 162.jpg
│ │ ├── 163.jpg
│ │ ├── 164.jpg
│ │ ├── 165.jpg
│ │ ├── 166.jpg
│ │ ├── 167.jpg
│ │ ├── 168.jpg
│ │ ├── 169.jpg
│ │ ├── 170.jpg
│ │ ├── 171.jpg
│ │ ├── 172.jpg
│ │ ├── 173.jpg
│ │ ├── 174.jpg
│ │ ├── 175.jpg
│ │ ├── 176.jpg
│ │ ├── 177.jpg
│ │ ├── 178.jpg
│ │ ├── 179.jpg
│ │ ├── 180.jpg
│ │ ├── 181.jpg
│ │ ├── 182.jpg
│ │ ├── 183.jpg
│ │ ├── 184.jpg
│ │ ├── 185.jpg
│ │ ├── 186.jpg
│ │ ├── 187.jpg
│ │ ├── 188.jpg
│ │ ├── 189.jpg
│ │ ├── 190.jpg
│ │ ├── 191.jpg
│ │ ├── 192.jpg
│ │ ├── 193.jpg
│ │ ├── 194.jpg
│ │ ├── 195.jpg
│ │ ├── 196.jpg
│ │ ├── 197.jpg
│ │ ├── 198.jpg
│ │ ├── 199.jpg
│ │ └── 200.jpg
│ ├── table_textures
│ │ ├── table_texture.jpg
│ │ └── .nfs0000000000106d8400000056
│ └── get_texture.py
└── urdf
│ ├── table
│ ├── table.png
│ ├── tabletop.jpg
│ ├── table2.mtl
│ ├── table.mtl
│ ├── table2.urdf
│ └── table.obj
│ ├── book
│ ├── meshes
│ │ ├── book_top01.jpg
│ │ └── book_bottom01.jpg
│ ├── configuration_2017-06-01
│ │ ├── book.launch
│ │ ├── book_in.yaml
│ │ └── book.urdf
│ ├── configuration_2017-07-30
│ │ ├── book.launch
│ │ ├── book_in.yaml
│ │ └── book.urdf
│ ├── configuration_2017-07-31
│ │ ├── book.launch
│ │ ├── book_in.yaml
│ │ └── book.urdf
│ └── configuration_2017-08-01
│ │ ├── book.launch
│ │ ├── book_in.yaml
│ │ └── book.urdf
│ ├── openbox5
│ └── .openbox.urdf.swp
│ ├── robotiq
│ ├── visual
│ │ ├── test_grid.png
│ │ ├── robotiq_base_link.stl
│ │ ├── robotiq_85_base_link.stl
│ │ ├── robotiq_85_finger_tip.stl
│ │ ├── robotiq_85_finger_link.stl
│ │ ├── robotiq_85_knuckle_link.stl
│ │ └── robotiq_85_inner_knuckle_link.stl
│ └── collision
│ │ ├── robotiq_85_base_link.stl
│ │ ├── robotiq_85_finger_link.stl
│ │ ├── robotiq_85_knuckle_link.stl
│ │ ├── robotiq_85_finger_tip_link.stl
│ │ └── robotiq_85_inner_knuckle_link.stl
│ ├── obj_libs
│ ├── books
│ │ └── b1
│ │ │ └── .b1.urdf.swp
│ ├── cups
│ │ └── c1
│ │ │ └── .cup.obj.swp
│ ├── bevels
│ │ ├── b2
│ │ │ ├── .b1.urdf.swp
│ │ │ └── b2.urdf
│ │ └── b1
│ │ │ └── b1.urdf
│ ├── bottles
│ │ ├── b5
│ │ │ ├── .b4.urdf.swp
│ │ │ └── b5.urdf
│ │ ├── b1
│ │ │ ├── b1.urdf
│ │ │ └── cube.obj
│ │ ├── b3
│ │ │ ├── b3.urdf
│ │ │ └── cube.obj
│ │ ├── b4
│ │ │ ├── b4.urdf
│ │ │ └── cube.obj
│ │ ├── b7
│ │ │ ├── b7.urdf
│ │ │ └── cube.obj
│ │ ├── b8
│ │ │ ├── b8.urdf
│ │ │ └── cube.obj
│ │ ├── b2
│ │ │ ├── b2.urdf
│ │ │ └── cube.obj
│ │ └── b6
│ │ │ ├── b6.urdf
│ │ │ └── cube.obj
│ ├── drawers
│ │ ├── d4
│ │ │ └── .d4.urdf.swp
│ │ ├── d5
│ │ │ └── .d5.urdf.swp
│ │ ├── d6
│ │ │ └── .d4.urdf.swp
│ │ ├── d7
│ │ │ └── .d5.urdf.swp
│ │ ├── d2
│ │ │ └── d2.urdf
│ │ └── d3
│ │ │ └── d3.urdf
│ ├── cubes
│ │ ├── c1
│ │ │ ├── cube.mtl
│ │ │ ├── cube_small.urdf
│ │ │ └── cube.obj
│ │ ├── c4
│ │ │ └── c4.urdf
│ │ ├── c3
│ │ │ └── c3.urdf
│ │ └── c2
│ │ │ └── c2.urdf
│ ├── boxes
│ │ └── boxHole
│ │ │ └── b1.urdf
│ ├── bottle_caps
│ │ └── c1
│ │ │ └── c1.urdf
│ ├── marbles
│ │ └── m1
│ │ │ └── m1.urdf
│ └── cylinders
│ │ └── c1
│ │ └── c1.urdf
│ ├── robotiq_2f_85
│ └── visual
│ │ ├── robotiq_3f.jpg
│ │ └── robotiq_arg2f_85_finger_tip.obj
│ ├── openbox
│ ├── model.config
│ ├── openbox_convex_piece_15.obj
│ ├── openbox_convex_piece_14.obj
│ ├── openbox_convex_piece_8.obj
│ ├── openbox_convex_piece_11.obj
│ ├── openbox_convex_piece_2.obj
│ ├── openbox_convex_piece_12.obj
│ ├── openbox_convex_piece_0.obj
│ ├── openbox_convex_piece_10.obj
│ ├── openbox_convex_piece_17.obj
│ ├── openbox_convex_piece_19.obj
│ ├── openbox_convex_piece_5.obj
│ ├── openbox_convex_piece_6.obj
│ ├── openbox_convex_piece_7.obj
│ ├── openbox_convex_piece_1.obj
│ ├── openbox_convex_piece_13.obj
│ ├── openbox_convex_piece_16.obj
│ ├── openbox_convex_piece_3.obj
│ ├── openbox_convex_piece_4.obj
│ ├── openbox_convex_piece_9.obj
│ └── openbox_convex_piece_18.obj
│ ├── openbox2
│ ├── model.config
│ ├── openbox_convex_piece_15.obj
│ ├── openbox_convex_piece_14.obj
│ ├── openbox_convex_piece_8.obj
│ ├── openbox_convex_piece_11.obj
│ ├── openbox_convex_piece_2.obj
│ ├── openbox_convex_piece_12.obj
│ ├── openbox_convex_piece_0.obj
│ ├── openbox_convex_piece_19.obj
│ ├── openbox_convex_piece_6.obj
│ ├── openbox_convex_piece_7.obj
│ ├── openbox_convex_piece_1.obj
│ ├── openbox_convex_piece_10.obj
│ ├── openbox_convex_piece_13.obj
│ ├── openbox_convex_piece_16.obj
│ ├── openbox_convex_piece_17.obj
│ ├── openbox_convex_piece_5.obj
│ ├── openbox_convex_piece_3.obj
│ ├── openbox_convex_piece_4.obj
│ ├── openbox_convex_piece_9.obj
│ └── openbox_convex_piece_18.obj
│ ├── objmodels
│ ├── nut.mtl
│ └── nut.urdf
│ ├── plane.mtl
│ ├── plane.obj
│ └── plane.urdf
├── .gitmodules
├── rl
└── train_5.sh
├── simulation
├── env_122.py
├── env_160.py
├── env_171.py
├── env_158.py
├── env_45.py
├── env_42.py
├── env_157.py
├── env_99.py
├── env_56.py
└── env_44.py
├── environment.yml
└── LICENSE
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1 | -0.068767 -0.779319 0.622843 -0.091203
2 | -0.996817 0.078917 -0.011315 0.042279
3 | -0.040335 -0.621638 -0.782265 0.893680
4 | 0.000000 0.000000 0.000000 1.000000
5 |
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1 | openbox1.0openbox.urdftrimesh 3.0.14blank@blank.blankopenbox
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1 | openbox1.0openbox.urdftrimesh 3.0.14blank@blank.blankopenbox
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1 | # Blender MTL File: 'table1.blend'
2 | # Material Count: 1
3 |
4 | newmtl None
5 | Ns 0
6 | Ka 0.000000 0.000000 0.000000
7 | Kd 0.8 0.8 0.8
8 | Ks 0.8 0.8 0.8
9 | d 1
10 | illum 2
11 | map_Kd tabletop.jpg
12 |
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1 | 0.0262219511134,-0.998748411402,0.042591313698,0.112854459111
2 | -0.999207841381,-0.0249105470725,0.0310347284044,0.0338917729224
3 | -0.0299349127674,-0.0433713657528,-0.998610447387,-0.0132999444584
4 | 0.0,0.0,0.0,1.0
5 |
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5 | f 1 4 2
6 | f 4 1 2
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8 | f 1 3 4
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/resources/urdf/objmodels/nut.mtl:
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1 | #
2 | ## Alias OBJ Material File
3 | # Exported from SketchUp, (c) 2000-2012 Trimble Navigation Limited
4 |
5 | newmtl Color_001
6 | Ka 0.000000 0.000000 0.000000
7 | Kd 0.886275 0.886275 0.886275
8 | Ks 0.330000 0.330000 0.330000
9 |
10 |
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/.gitmodules:
--------------------------------------------------------------------------------
1 | [submodule "external/something-something-v2-baseline.git"]
2 | path = external/something-something-v2-baseline.git
3 | url = https://github.com/TwentyBN/something-something-v2-baseline.git
4 | [submodule "external/bullet3"]
5 | path = external/bullet3
6 | url = https://github.com/linsats/bullet3.git
7 |
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/rl/train_5.sh:
--------------------------------------------------------------------------------
1 | python3 run.py\
2 | --task_id 5\
3 | --exp_name "without_force_goal_only"\
4 | --gui \
5 | --stage train\
6 | --batch_size 64\
7 | --action_penalty 0.2\
8 | --start_learning_episode 1000\
9 | --comment "action_penalty_0.2_critic_goal_only"
10 |
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1 | newmtl Material
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3 | Ni 1.5000
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10 | Ks 0.0000 0.0000 0.0000
11 | Ke 0.0000 0.0000 0.0000
12 | map_Ka cube.tga
13 | map_Kd checker_blue.png
14 |
15 |
16 |
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1 | newmtl table
2 | Ns 10.0000
3 | Ni 1.5000
4 | d 1.0000
5 | Tr 0.0000
6 | Tf 1.0000 1.0000 1.0000
7 | illum 2
8 | Ka 0.0000 0.0000 0.0000
9 | Kd 0.5880 0.5880 0.5880
10 | Ks 0.0000 0.0000 0.0000
11 | Ke 0.0000 0.0000 0.0000
12 | map_Ka table.tga
13 | map_Kd table.png
14 |
15 |
16 |
17 |
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1 | newmtl cube
2 | Ns 10.0000
3 | Ni 1.5000
4 | d 1.0000
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9 | Kd 0.5880 0.5880 0.5880
10 | Ks 0.0000 0.0000 0.0000
11 | Ke 0.0000 0.0000 0.0000
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13 | map_Kd cube.png
14 |
15 |
16 |
17 |
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2 | # www.blender.org
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--------------------------------------------------------------------------------
1 | name: book
2 | base_marker: "/CreditCardWith4Markers"
3 | link_name_prefix: "rb"
4 | link_ids: {4: "0", 2: "1"}
5 | joints:
6 | - {rb1_id: 4, rb2_id: 2, type: REVOLUTE}
7 | meshes: {"rb0": "book/meshes/book_bottom.dae", "rb1": "book/meshes/book_top.dae"}
8 | mesh_poses: {"rb0": "", "rb1": ""}
9 |
--------------------------------------------------------------------------------
/resources/urdf/book/configuration_2017-07-30/book_in.yaml:
--------------------------------------------------------------------------------
1 | name: book
2 | base_marker: "/CreditCardWith4Markers"
3 | link_name_prefix: "rb"
4 | link_ids: {4: "0", 2: "1"}
5 | joints:
6 | - {rb1_id: 4, rb2_id: 2, type: REVOLUTE}
7 | meshes: {"rb0": "book/meshes/book_bottom.dae", "rb1": "book/meshes/book_top.dae"}
8 | mesh_poses: {"rb0": "", "rb1": ""}
9 |
--------------------------------------------------------------------------------
/resources/urdf/book/configuration_2017-07-31/book_in.yaml:
--------------------------------------------------------------------------------
1 | name: book
2 | base_marker: "/CreditCardWith4Markers"
3 | link_name_prefix: "rb"
4 | link_ids: {4: "0", 2: "1"}
5 | joints:
6 | - {rb1_id: 4, rb2_id: 2, type: REVOLUTE}
7 | meshes: {"rb0": "book/meshes/book_bottom.dae", "rb1": "book/meshes/book_top.dae"}
8 | mesh_poses: {"rb0": "", "rb1": ""}
9 |
--------------------------------------------------------------------------------
/resources/urdf/book/configuration_2017-08-01/book_in.yaml:
--------------------------------------------------------------------------------
1 | name: book
2 | base_marker: "/CreditCardWith4Markers"
3 | link_name_prefix: "rb"
4 | link_ids: {4: "0", 2: "1"}
5 | joints:
6 | - {rb1_id: 4, rb2_id: 2, type: REVOLUTE}
7 | meshes: {"rb0": "book/meshes/book_bottom.dae", "rb1": "book/meshes/book_top.dae"}
8 | mesh_poses: {"rb0": "", "rb1": ""}
9 |
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/simulation/env_122.py:
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1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | import sys
14 | sys.path.append('./')
15 |
16 | from env_22 import Engine22
17 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
18 |
19 |
20 | class Engine122(Engine22):
21 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
22 | super(Engine122,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
23 | self.opti = opti
24 |
25 |
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/resources/urdf/obj_libs/cubes/c4/c4.urdf:
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
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10 |
11 |
12 |
13 |
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17 |
18 |
19 |
20 |
21 |
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24 |
25 |
26 |
27 |
28 |
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/simulation/env_160.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | import sys
14 | sys.path.append('./Eval')
15 | sys.path.append('./')
16 |
17 | from env_56 import Engine56
18 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
19 |
20 | class Engine160(Engine56):
21 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
22 | super(Engine160,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
23 | self.opti = opti
24 |
25 |
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/resources/urdf/obj_libs/cubes/c3/c3.urdf:
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1 |
2 |
3 |
4 |
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6 |
7 |
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9 |
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11 |
12 |
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14 |
15 |
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17 |
18 |
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20 |
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27 |
28 |
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/environment.yml:
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1 | name: concept2robot
2 | channels:
3 | - defaults
4 | dependencies:
5 | - _libgcc_mutex=0.1=main
6 | - ca-certificates=2020.7.22=0
7 | - certifi=2020.6.20=py36_0
8 | - ld_impl_linux-64=2.33.1=h53a641e_7
9 | - libedit=3.1.20191231=h14c3975_1
10 | - libffi=3.3=he6710b0_2
11 | - libgcc-ng=9.1.0=hdf63c60_0
12 | - libstdcxx-ng=9.1.0=hdf63c60_0
13 | - ncurses=6.2=he6710b0_1
14 | - openssl=1.1.1g=h7b6447c_0
15 | - pip=20.2.2=py36_0
16 | - python=3.6.12=hcff3b4d_2
17 | - readline=8.0=h7b6447c_0
18 | - setuptools=49.6.0=py36_0
19 | - sqlite=3.33.0=h62c20be_0
20 | - tk=8.6.10=hbc83047_0
21 | - wheel=0.35.1=py_0
22 | - xz=5.2.5=h7b6447c_0
23 | - zlib=1.2.11=h7b6447c_3
24 | prefix: /juno/u/lins2/anaconda3/envs/concept2robot
25 |
26 |
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/resources/urdf/obj_libs/cubes/c2/c2.urdf:
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/resources/urdf/obj_libs/cubes/c1/cube_small.urdf:
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/simulation/env_171.py:
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1 | #!/usr/bin/env python3
2 |
3 | import pybullet as p
4 | import time
5 | import math
6 | from datetime import datetime
7 | from time import sleep
8 | import numpy as np
9 | import random
10 | import cv2
11 | import os
12 | import argparse
13 | import torch
14 |
15 | import sys
16 | sys.path.append('./Eval')
17 | sys.path.append('./')
18 |
19 | from env_121 import Engine121
20 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
21 |
22 |
23 | class Engine171(Engine121):
24 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
25 | super(Engine171,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
26 | self.opti = opti
27 |
28 |
29 |
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/simulation/env_158.py:
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1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | from scipy.spatial.transform import Rotation as R
14 |
15 | import sys
16 | sys.path.append('./Eval')
17 | sys.path.append('./')
18 |
19 | from env_57 import Engine57
20 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
21 |
22 |
23 | class Engine158(Engine57):
24 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
25 | super(Engine158,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
26 | self.opti = opti
27 |
28 |
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/resources/urdf/plane.urdf:
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/classification/video/configs/config_tsm_video.json:
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1 | {
2 | "model_name": "model_tsm_video",
3 | "output_dir": "../../models/tsm_video/TSM_somethingv2_RGB_resnet50_shift8_blockres_avg_segment8_e45/",
4 |
5 | "input_mode": "video",
6 |
7 | "num_workers": 5,
8 |
9 | "num_classes": 174,
10 | "batch_size": 30,
11 | "clip_size": 72,
12 |
13 | "nclips_train": 1,
14 | "nclips_val": 1,
15 |
16 | "upscale_factor_train": 1.0,
17 | "upscale_factor_eval": 1.0,
18 |
19 | "step_size_train": 1,
20 | "step_size_val": 1,
21 |
22 | "lr": 0.008,
23 | "last_lr": 0.00001,
24 | "momentum": 0.9,
25 | "weight_decay": 0.00001,
26 | "num_epochs": -1,
27 | "print_freq": 100,
28 |
29 | "input_spatial_size": 224,
30 |
31 | "column_units": 512,
32 | "save_features": true
33 | }
34 |
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/resources/textures/get_texture.py:
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1 | import cv2
2 | import glob
3 |
4 | sun_data_path = '/scr1/workspace/dataset/sun/SUN2012/Images'
5 |
6 | def resize(filename='bg3.png',output_name=None):
7 | W = 256.
8 | oriimg = cv2.imread(filename)
9 | height, width, depth = oriimg.shape
10 | imgScale = W/width
11 | newX,newY = oriimg.shape[1]*imgScale, oriimg.shape[0]*imgScale
12 | newimg = cv2.resize(oriimg,(int(newX),int(newX)))
13 | if output_name is not None:
14 | cv2.imwrite(output_name,newimg)
15 | else:
16 | cv2.imwrite (filename, newimg)
17 |
18 | if __name__ == '__main__':
19 | cut_ratio = 21
20 | for i,file in enumerate(glob.glob(sun_data_path+'/*/*/*.jpg')):
21 | if i%cut_ratio==1:
22 | output = './sun_textures/{}.jpg'.format (int(i/cut_ratio))
23 | resize(file,output)
24 | print(i)
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/resources/urdf/obj_libs/bottles/b1/b1.urdf:
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/resources/urdf/obj_libs/boxes/boxHole/b1.urdf:
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/resources/urdf/obj_libs/bottle_caps/c1/c1.urdf:
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/resources/urdf/obj_libs/drawers/d2/d2.urdf:
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/resources/urdf/table/table2.urdf:
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/simulation/env_45.py:
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1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | import sys
14 | sys.path.append('./Eval')
15 | sys.path.append('./')
16 |
17 | from env_43 import Engine43
18 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
19 |
20 | class Engine45(Engine43):
21 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
22 | super(Engine45,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
23 | self.opti = opti
24 |
25 | def get_success(self,seg=None):
26 | obj_pos = np.array(self.p.getBasePositionAndOrientation(self.obj_id)[0])
27 | if obj_pos[2] > self.height + 0.05:
28 | return True
29 | else:
30 | return False
31 |
32 |
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/simulation/env_42.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | import sys
14 | sys.path.append('./Eval')
15 | sys.path.append('./')
16 |
17 | from env_40 import Engine40
18 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
19 |
20 | class Engine42(Engine40):
21 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
22 | super(Engine42,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
23 | self.opti = opti
24 |
25 | def get_success(self,seg=None):
26 | cur_obj = np.array(self.p.getBasePositionAndOrientation(self.obj_id)[0])
27 | dist = np.linalg.norm(cur_obj - self.box_pos)
28 | if dist < self.dist - 0.05:
29 | return True
30 | else:
31 | return False
32 |
33 |
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/resources/urdf/table/table.obj:
--------------------------------------------------------------------------------
1 | # table.obj
2 | #
3 |
4 | o table
5 | mtllib table.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g table
29 | usemtl table
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/cubes/c1/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/bottles/b1/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/bottles/b2/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/bottles/b3/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/bottles/b4/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/bottles/b6/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/bottles/b7/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/obj_libs/bottles/b8/cube.obj:
--------------------------------------------------------------------------------
1 | # cube.obj
2 | #
3 |
4 | o cube
5 | mtllib cube.mtl
6 |
7 | v -0.500000 -0.500000 0.500000
8 | v 0.500000 -0.500000 0.500000
9 | v -0.500000 0.500000 0.500000
10 | v 0.500000 0.500000 0.500000
11 | v -0.500000 0.500000 -0.500000
12 | v 0.500000 0.500000 -0.500000
13 | v -0.500000 -0.500000 -0.500000
14 | v 0.500000 -0.500000 -0.500000
15 |
16 | vt 0.000000 0.000000
17 | vt 1.000000 0.000000
18 | vt 0.000000 1.000000
19 | vt 1.000000 1.000000
20 |
21 | vn 0.000000 0.000000 1.000000
22 | vn 0.000000 1.000000 0.000000
23 | vn 0.000000 0.000000 -1.000000
24 | vn 0.000000 -1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -1.000000 0.000000 0.000000
27 |
28 | g cube
29 | usemtl cube
30 | s 1
31 | f 1/1/1 2/2/1 3/3/1
32 | f 3/3/1 2/2/1 4/4/1
33 | s 2
34 | f 3/1/2 4/2/2 5/3/2
35 | f 5/3/2 4/2/2 6/4/2
36 | s 3
37 | f 5/4/3 6/3/3 7/2/3
38 | f 7/2/3 6/3/3 8/1/3
39 | s 4
40 | f 7/1/4 8/2/4 1/3/4
41 | f 1/3/4 8/2/4 2/4/4
42 | s 5
43 | f 2/1/5 8/2/5 4/3/5
44 | f 4/3/5 8/2/5 6/4/5
45 | s 6
46 | f 7/1/6 1/2/6 5/3/6
47 | f 5/3/6 1/2/6 3/4/6
48 |
49 |
--------------------------------------------------------------------------------
/resources/urdf/objmodels/nut.urdf:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
27 |
28 |
29 |
30 |
31 |
32 |
33 |
--------------------------------------------------------------------------------
/simulation/env_157.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python3
2 |
3 | import time
4 | import math
5 | from datetime import datetime
6 | from time import sleep
7 | import numpy as np
8 | import random
9 | import cv2
10 | import os
11 | import argparse
12 | import torch
13 |
14 | import sys
15 | sys.path.append('./Eval')
16 | sys.path.append('./')
17 |
18 | from env_156 import Engine156
19 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
20 |
21 | class Engine157(Engine156):
22 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
23 | super(Engine157,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=True)
24 | self.opti = opti
25 |
26 | def get_success(self,seg=None):
27 | box_AABB = self.p.getAABB(self.obj_id)
28 | obj_pos = self.p.getBasePositionAndOrientation(self.obj_id)[0]
29 | if obj_pos[0] > box_AABB[0][0] and obj_pos[0] < box_AABB[1][0] and obj_pos[1] > box_AABB[0][1] and obj_pos[1] < box_AABB[1][1]:
30 | return False
31 | else:
32 | return True
33 |
34 |
--------------------------------------------------------------------------------
/simulation/env_99.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | import sys
14 | sys.path.append('./')
15 |
16 | from env_98 import Engine98
17 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
18 |
19 | class Engine99(Engine98):
20 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
21 | super(Engine99,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
22 | self.opti = opti
23 |
24 | def get_success(self,seg=None):
25 | pos = self.p.getBasePositionAndOrientation(self.obj_id)[0][2]
26 | closet_info = self.p.getContactPoints (self.robotId, self.obj_id)
27 | if len(closet_info) > 0:
28 | self.contact = True
29 | if pos < self.pos - 0.04 and self.dmp.timestep >= self.dmp.timesteps and self.contact:
30 | return True
31 | else:
32 | return False
33 |
--------------------------------------------------------------------------------
/resources/urdf/robotiq_2f_85/visual/robotiq_arg2f_85_finger_tip.obj:
--------------------------------------------------------------------------------
1 | v 0.011 -0.003175 -0.01875
2 | v 0.011 -0.003175 0.01875
3 | v -0.011 -0.003175 0.01875
4 | v -0.011 -0.003175 -0.01875
5 | v 0.011 0.003175 -0.01875
6 | v 0.011 0.003175 0.01875
7 | v -0.011 0.003175 0.01875
8 | v -0.011 0.003175 -0.01875
9 | vt 1.000000 0.333333
10 | vt 1.000000 0.666667
11 | vt 0.666667 0.666667
12 | vt 0.666667 0.333333
13 | vt 0.666667 0.000000
14 | vt 0.000000 0.333333
15 | vt 0.000000 0.000000
16 | vt 0.333333 0.000000
17 | vt 0.333333 1.000000
18 | vt 0.000000 1.000000
19 | vt 0.000000 0.666667
20 | vt 0.333333 0.333333
21 | vt 0.333333 0.666667
22 | vt 1.000000 0.000000
23 | vn 0.000000 -1.000000 0.000000
24 | vn 0.000000 1.000000 0.000000
25 | vn 1.000000 0.000000 0.000000
26 | vn -0.000000 0.000000 1.000000
27 | vn -1.000000 -0.000000 -0.000000
28 | vn 0.000000 0.000000 -1.000000
29 | f 2/1/1 3/2/1 4/3/1
30 | f 8/1/2 7/4/2 6/5/2
31 | f 5/6/3 6/7/3 2/8/3
32 | f 6/8/4 7/5/4 3/4/4
33 | f 3/9/5 7/10/5 8/11/5
34 | f 1/12/6 4/13/6 8/11/6
35 | f 1/4/1 2/1/1 4/3/1
36 | f 5/14/2 8/1/2 6/5/2
37 | f 1/12/3 5/6/3 2/8/3
38 | f 2/12/4 6/8/4 3/4/4
39 | f 4/13/5 3/9/5 8/11/5
40 | f 5/6/6 1/12/6 8/11/6
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2020 Stanford Interactive Perception and Robot Learning Lab
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
--------------------------------------------------------------------------------
/simulation/env_56.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | import sys
14 | sys.path.append('./Eval')
15 | sys.path.append('./')
16 |
17 | from env_55 import Engine55
18 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
19 |
20 | class Engine56(Engine55):
21 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
22 | super(Engine56,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
23 | self.opti = opti
24 |
25 | def get_success(self,seg=None):
26 | pos = np.array(self.p.getBasePositionAndOrientation(self.obj_id)[0])
27 | dist = np.linalg.norm(pos-self.pos)
28 | contact_info = self.p.getContactPoints (self.robotId, self.obj_id)
29 | if len(contact_info) > 0:
30 | self.contact = True
31 | if dist < 0.05 and self.contact and self.dmp.timestep >= self.dmp.timesteps:
32 | return True
33 | else:
34 | return False
35 |
--------------------------------------------------------------------------------
/simulation/env_44.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python3
2 | import time
3 | import math
4 | from datetime import datetime
5 | from time import sleep
6 | import numpy as np
7 | import random
8 | import cv2
9 | import os
10 | import argparse
11 | import torch
12 |
13 | import sys
14 | sys.path.append('./')
15 |
16 | from env_41 import Engine41
17 | from utils_env import get_view,safe_path,cut_frame,point2traj,get_gripper_pos,backup_code
18 |
19 | class Engine44(Engine41):
20 | def __init__(self, worker_id, opti, p_id, taskId=5, maxSteps=15, n_dmps=3, cReward=True):
21 | super(Engine44,self).__init__(worker_id, opti, p_id, taskId=taskId, maxSteps=maxSteps, n_dmps=n_dmps, cReward=cReward)
22 | self.opti = opti
23 |
24 | def get_success(self,seg=None):
25 | obj_pos = self.p.getBasePositionAndOrientation(self.obj_id)[0]
26 | obj_pos = np.array(obj_pos)
27 | cam_pos = np.array([-0.09,0.04,0.89])
28 | dist_cam_obj = np.linalg.norm(cam_pos - obj_pos)
29 | #print("dist_cam_obj",dist_cam_obj,"dist",self.dist,"dist_cam_obj > self.dist + 0.1",dist_cam_obj > self.dist + 0.1)
30 | if dist_cam_obj < self.dist - 0.1:
31 | return True
32 | else:
33 | return False
34 |
35 |
--------------------------------------------------------------------------------
/Languages/useBert.py:
--------------------------------------------------------------------------------
1 | import torch
2 | from pytorch_transformers import *
3 | import numpy as np
4 | import json
5 |
6 | from collections import namedtuple
7 |
8 | ListData = namedtuple('ListData',['id','labels'])
9 |
10 | classes = [line.strip().split(":")[0] for line in open('labels.txt')]
11 | #with open("something-something-v2-labels.json") as jsonfile:
12 | # json_reader = json.load(jsonfile)
13 | # for elem in json_reader:
14 | # print(elem)
15 | # classes.append(elem)
16 | #sorted(classes)
17 | for i in range(len(classes)):
18 | print(i,classes[i])
19 |
20 | MODELS = [(BertModel, BertTokenizer, 'bert-large-uncased')]
21 |
22 | for model_class, tokenizer_class, pretrained_weights in MODELS:
23 | #Load pretrained model/tokenizer
24 | tokenizer = tokenizer_class.from_pretrained(pretrained_weights)
25 | model = model_class.from_pretrained(pretrained_weights)
26 |
27 | # Encode text
28 | for i in range(len(classes)):
29 | input_ids1 = torch.tensor([tokenizer.encode(classes[i])])
30 |
31 | with torch.no_grad():
32 | last_hidden_states = model(input_ids1)[0][0][-1]
33 | print(last_hidden_states.size())
34 | vec = last_hidden_states.numpy()
35 | print(np.sum(vec),i,classes[i])
36 | # np.save(str(i)+".npy",vec)
37 |
--------------------------------------------------------------------------------
/configs/classification/pretrained/config_model1.json:
--------------------------------------------------------------------------------
1 | {
2 | "model_name": "model3D_1",
3 | "output_dir": "trained_models/pretrained",
4 |
5 | "input_mode": "skvideo",
6 |
7 | "data_folder": "/scr-ssd/ConceptManipulation/Data/videos/",
8 |
9 | "json_data_train": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-train.json",
10 | "json_data_val": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-validation.json",
11 | "json_data_test": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-test.json",
12 |
13 | "json_file_labels": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-labels.json",
14 |
15 | "num_workers": 6,
16 |
17 | "num_classes": 174,
18 | "batch_size": 96,
19 | "clip_size": 48,
20 |
21 | "nclips_train": 1,
22 | "nclips_val": 1,
23 |
24 | "upscale_factor_train": 1.0,
25 | "upscale_factor_eval": 1.0,
26 |
27 | "step_size_train": 1,
28 | "step_size_val": 1,
29 |
30 | "lr": 0.008,
31 | "last_lr": 0.00001,
32 | "momentum": 0.9,
33 | "weight_decay": 0.00001,
34 | "num_epochs": -1,
35 | "print_freq": 100,
36 |
37 | "conv_model": "models.model3D_1",
38 | "input_spatial_size": 84,
39 |
40 | "column_units": 512,
41 | "save_features": false
42 | }
43 |
--------------------------------------------------------------------------------
/configs/classification/pretrained/config_model1_224.json:
--------------------------------------------------------------------------------
1 | {
2 | "model_name": "model3D_1_224",
3 | "output_dir": "trained_models/pretrained",
4 |
5 | "input_mode": "skivideo",
6 |
7 | "data_folder": "/scr-ssd/ConceptManipulation/Data/videos/",
8 |
9 | "json_data_train": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-train.json",
10 | "json_data_val": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-validation.json",
11 | "json_data_test": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-test.json",
12 |
13 | "json_file_labels": "/scr-ssd/ConceptManipulation/Data/captions/something-something-v2-labels.json",
14 |
15 | "num_workers": 12,
16 |
17 | "num_classes": 174,
18 | "batch_size": 100,
19 | "clip_size": 48,
20 |
21 | "nclips_train": 1,
22 | "nclips_val": 1,
23 |
24 | "upscale_factor_train": 1.0,
25 | "upscale_factor_eval": 1.0,
26 |
27 | "step_size_train": 1,
28 | "step_size_val": 1,
29 |
30 | "lr": 0.01,
31 | "last_lr": 0.00001,
32 | "momentum": 0.9,
33 | "weight_decay": 0.00001,
34 | "num_epochs": -1,
35 | "print_freq": 500,
36 |
37 | "conv_model": "models.model3D_1_224",
38 | "input_spatial_size": 224,
39 |
40 | "column_units": 512,
41 | "save_features": false
42 | }
43 |
--------------------------------------------------------------------------------
/classification/image/configs/config_resnet2.json:
--------------------------------------------------------------------------------
1 | {
2 | "model_name": "model_resnet2",
3 | "output_dir": "trained_models/",
4 |
5 | "input_mode": "image",
6 |
7 | "data_folder": "../../data/20bn-something-something-v2/dataset_raw/",
8 |
9 | "json_data_train": "../../data/20bn-something-something-v2/annotations/something-something-v2-train.json",
10 | "json_data_val": "../../data/20bn-something-something-v2/annotations/something-something-v2-validation.json",
11 | "json_data_test": "../../data/20bn-something-something-v2/annotations/something-something-v2-test.json",
12 | "json_file_labels": "../../data/20bn-something-something-v2/annotations/something-something-v2-labels.json",
13 |
14 | "num_workers": 5,
15 |
16 | "num_classes": 174,
17 | "batch_size": 30,
18 | "clip_size": 72,
19 |
20 | "nclips_train": 1,
21 | "nclips_val": 1,
22 |
23 | "upscale_factor_train": 1.0,
24 | "upscale_factor_eval": 1.0,
25 |
26 | "step_size_train": 1,
27 | "step_size_val": 1,
28 |
29 | "lr": 0.008,
30 | "last_lr": 0.00001,
31 | "momentum": 0.9,
32 | "weight_decay": 0.00001,
33 | "num_epochs": -1,
34 | "print_freq": 100,
35 |
36 | "conv_model": "models.model_resnet2",
37 | "input_spatial_size": 224,
38 |
39 | "column_units": 512,
40 | "save_features": true
41 | }
42 |
--------------------------------------------------------------------------------
/classification/image/configs/config_resnet.json:
--------------------------------------------------------------------------------
1 | {
2 | "model_name": "model_resnet",
3 | "output_dir": "../../models/classification/image/",
4 |
5 | "input_mode": "image",
6 |
7 | "data_folder": "../../data/20bn-something-something-v2/dataset_raw/",
8 |
9 | "json_data_train": "../../data/20bn-something-something-v2/annotations/something-something-v2-train.json",
10 | "json_data_val": "../../data/20bn-something-something-v2/annotations/something-something-v2-validation.json",
11 | "json_data_test": "../../data/20bn-something-something-v2/annotations/something-something-v2-test.json",
12 | "json_file_labels": "../../data/20bn-something-something-v2/annotations/something-something-v2-labels.json",
13 |
14 | "num_workers": 5,
15 |
16 | "num_classes": 174,
17 | "batch_size": 30,
18 | "clip_size": 72,
19 |
20 | "nclips_train": 1,
21 | "nclips_val": 1,
22 |
23 | "upscale_factor_train": 1.0,
24 | "upscale_factor_eval": 1.0,
25 |
26 | "step_size_train": 1,
27 | "step_size_val": 1,
28 |
29 | "lr": 0.008,
30 | "last_lr": 0.00001,
31 | "momentum": 0.9,
32 | "weight_decay": 0.00001,
33 | "num_epochs": -1,
34 | "print_freq": 100,
35 |
36 | "conv_model": "models.model_resnet",
37 | "input_spatial_size": 224,
38 |
39 | "column_units": 512,
40 | "save_features": true
41 | }
42 |
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1 | {
2 | "model_name": "model3D_1_scratch",
3 | "output_dir": "../models/classification/",
4 | "input_mode": "skvideo",
5 | "data_folder": "../data/20bn-something-something-v2/dataset_raw",
6 | "json_data_train": "../data/20bn-something-something-v2/labels/something-something-v2-train.json",
7 | "json_data_val": "../data/20bn-something-something-v2/labels/something-something-v2-validation.json",
8 | "json_data_test": "../data/20bn-something-something-v2/labels/something-something-v2-test.json",
9 |
10 | "json_file_labels": "../data/20bn-something-something-v2/labels/something-something-v2-labels.json",
11 |
12 | "num_workers": 2,
13 |
14 | "num_classes": 174,
15 | "batch_size": 40,
16 | "clip_size": 72,
17 |
18 | "nclips_train": 1,
19 | "nclips_val": 1,
20 |
21 | "upscale_factor_train": 1.4,
22 | "upscale_factor_eval": 1.0,
23 |
24 | "step_size_train": 1,
25 | "step_size_val": 1,
26 |
27 | "lr": 0.008,
28 | "last_lr": 0.00001,
29 | "momentum": 0.9,
30 | "weight_decay": 0.00001,
31 | "num_epochs": -1,
32 | "print_freq": 100,
33 |
34 | "conv_model": "models.model3D_1",
35 | "input_spatial_size": 84,
36 |
37 | "column_units": 512,
38 | "save_features": true
39 | }
40 |
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/configs/classification/pretrained/config_model1_left_right.json:
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1 | {
2 | "model_name": "model3D_1_left_right",
3 | "output_dir": "trained_models/pretrained",
4 |
5 | "input_mode": "av",
6 |
7 | "data_folder": "../data/20bn-something-something-v2/dataset_raw",
8 |
9 | "json_data_train": "../data/20bn-something-something-v2/labels/something-something-v2-train.json",
10 | "json_data_val": "../data/20bn-something-something-v2/labels/something-something-v2-validation.json",
11 | "json_data_test": "../data/20bn-something-something-v2/labels/something-something-v2-test.json",
12 |
13 | "json_file_labels": "../data/20bn-something-something-v2/labels/something-something-v2-labels.json",
14 |
15 | "num_workers": 8,
16 |
17 | "num_classes": 174,
18 | "batch_size": 40,
19 | "clip_size": 72,
20 |
21 | "nclips_train": 1,
22 | "nclips_val": 1,
23 |
24 | "upscale_factor_train": 1.4,
25 | "upscale_factor_eval": 1.0,
26 |
27 | "step_size_train": 1,
28 | "step_size_val": 1,
29 |
30 | "augmentation_mappings_json": "assets/augmentation_mappings.json",
31 | "augmentation_types_todo": ["left/right", "left/right agnostic", "jitter_fps"],
32 |
33 | "lr": 0.01,
34 | "last_lr": 0.00001,
35 | "momentum": 0.9,
36 | "weight_decay": 0.00001,
37 | "num_epochs": -1,
38 | "print_freq": 100,
39 |
40 | "conv_model": "models.model3D_1",
41 | "input_spatial_size": 84,
42 |
43 | "column_units": 512,
44 | "save_features": true
45 | }
46 |
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