[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 63 objects detected in the scene: Object 0 bbox: [114, 81, 168, 92]
Object 1 bbox: [172, 43, 82, 48]
Object 2 bbox: [446, 218, 53, 66]
Object 3 bbox: [379, 166, 56, 54]
Object 4 bbox: [379, 166, 56, 54]
Object 5 bbox: [241, 271, 55, 53]
Object 6 bbox: [429, 138, 67, 51]
Object 7 bbox: [333, 295, 67, 37]
Object 8 bbox: [433, 186, 58, 53]
Object 9 bbox: [66, 287, 69, 44]
Object 10 bbox: [305, 244, 194, 88]
Object 11 bbox: [169, 213, 46, 58]
Object 12 bbox: [393, 122, 50, 45]
Object 13 bbox: [125, 59, 73, 45]
Object 14 bbox: [235, 226, 47, 51]
Object 15 bbox: [304, 182, 44, 53]
Object 16 bbox: [390, 226, 44, 41]
Object 17 bbox: [125, 269, 42, 40]
Object 18 bbox: [272, 90, 50, 39]
Object 19 bbox: [196, 292, 49, 40]
Object 20 bbox: [346, 129, 42, 41]
Object 21 bbox: [346, 66, 37, 49]
Object 22 bbox: [267, 235, 40, 41]
Object 23 bbox: [201, 253, 38, 39]
Object 24 bbox: [0, 280, 85, 52]
Object 25 bbox: [458, 62, 39, 50]
Object 26 bbox: [164, 271, 46, 50]
Object 27 bbox: [422, 102, 49, 40]
Object 28 bbox: [379, 100, 46, 42]
Object 29 bbox: [316, 234, 39, 39]
Object 30 bbox: [236, 119, 47, 39]
Object 31 bbox: [303, 290, 38, 41]
Object 32 bbox: [335, 263, 40, 38]
Object 33 bbox: [376, 282, 42, 42]
Object 34 bbox: [74, 257, 41, 36]
Object 35 bbox: [246, 188, 36, 40]
Object 36 bbox: [276, 170, 38, 36]
Object 37 bbox: [147, 240, 37, 40]
Object 38 bbox: [150, 302, 42, 30]
Object 39 bbox: [345, 186, 39, 46]
Object 40 bbox: [97, 230, 37, 36]
Object 41 bbox: [13, 285, 36, 35]
Object 42 bbox: [38, 260, 37, 37]
Object 43 bbox: [397, 262, 43, 36]
Object 44 bbox: [355, 238, 37, 37]
Object 45 bbox: [469, 157, 30, 39]
Object 46 bbox: [280, 207, 38, 35]
Object 47 bbox: [291, 264, 38, 42]
Object 48 bbox: [465, 110, 34, 38]
Object 49 bbox: [469, 282, 28, 40]
Object 50 bbox: [318, 79, 38, 38]
Object 51 bbox: [359, 209, 39, 36]
Object 52 bbox: [315, 155, 37, 44]
Object 53 bbox: [436, 278, 42, 37]
Object 54 bbox: [61, 73, 38, 38]
Object 55 bbox: [309, 127, 36, 33]
Object 56 bbox: [104, 307, 47, 24]
Object 57 bbox: [384, 25, 33, 34]
Object 58 bbox: [427, 51, 35, 34]
Object 59 bbox: [374, 75, 37, 36]
Object 60 bbox: [213, 211, 32, 34]
Object 61 bbox: [459, 35, 37, 33]
Object 62 bbox: [239, 90, 36, 32]

[Assistant]
create("mesh/0.glb", loc=(0.156, -2.517, 0.154), rot=(0.603, 0.123, 2.247), scale=0.795, des="basket")
create("mesh/1.glb", loc=(0.112, -2.262, 0.327), rot=(0.552, 0.084, 0.154), scale=0.29, des="tag")
create("mesh/2.glb", loc=(-0.486, -1.368, -0.178), rot=(1.892, -0.751, 1.566), scale=0.169, des="lemon")
create("mesh/3.glb", loc=(-0.384, -1.645, -0.063), rot=(-1.35, 0.347, -0.405), scale=0.162, des="lemon")
create("mesh/4.glb", loc=(-0.383, -1.645, -0.063), rot=(-1.382, 0.442, -0.363), scale=0.163, des="lime")
create("mesh/5.glb", loc=(-0.046, -1.568, -0.298), rot=(0.299, -0.083, 0.942), scale=0.145, des="lemon")
create("mesh/6.glb", loc=(-0.541, -1.647, -0.01), rot=(3.024, 0.477, 0.131), scale=0.202, des="lemon")
create("mesh/7.glb", loc=(-0.234, -1.327, -0.317), rot=(0.462, -1.043, 2.851), scale=0.171, des="lemon")
create("mesh/8.glb", loc=(-0.485, -1.514, -0.106), rot=(0.291, 0.735, -0.58), scale=0.146, des="lemon")
create("mesh/9.glb", loc=(0.349, -1.644, -0.343), rot=(2.39, -1.985, -0.016), scale=0.175, des="lemon")
create("mesh/10.glb", loc=(-0.354, -1.562, -0.347), rot=(2.617, 0.597, -0.514), scale=0.46, des="basket")
create("mesh/11.glb", loc=(0.142, -1.714, -0.183), rot=(0.161, 0.271, -2.97), scale=0.154, des="lemon")
create("mesh/12.glb", loc=(-0.407, -1.63, 0.049), rot=(-2.941, -0.389, 0.347), scale=0.154, des="lemon")
create("mesh/13.glb", loc=(0.281, -2.316, 0.279), rot=(1.264, 2.286, -0.612), scale=0.358, des="tag")
create("mesh/14.glb", loc=(-0.032, -1.644, -0.209), rot=(2.939, -0.213, 0.467), scale=0.148, des="lemon")
create("mesh/15.glb", loc=(-0.199, -1.817, -0.109), rot=(-0.45, -0.171, 2.696), scale=0.152, des="lemon")
create("mesh/16.glb", loc=(-0.37, -1.543, -0.186), rot=(1.602, -2.473, -0.147), scale=0.112, des="lime")
create("mesh/17.glb", loc=(0.23, -1.549, -0.282), rot=(-1.918, -2.46, -0.269), scale=0.111, des="lime")
create("mesh/18.glb", loc=(-0.148, -2.182, 0.173), rot=(-1.94, 1.94, -0.615), scale=0.192, des="lemon")
create("mesh/19.glb", loc=(0.065, -1.564, -0.345), rot=(0.188, -0.37, 1.966), scale=0.133, des="lemon")
create("mesh/20.glb", loc=(-0.343, -1.994, 0.047), rot=(-2.212, -1.163, -0.405), scale=0.157, des="lemon")
create("mesh/21.glb", loc=(-0.362, -2.133, 0.236), rot=(-0.463, -2.281, -1.928), scale=0.163, des="lemon")
create("mesh/22.glb", loc=(-0.088, -1.569, -0.209), rot=(0.322, 1.927, 2.053), scale=0.112, des="lime")
create("mesh/23.glb", loc=(0.069, -1.621, -0.252), rot=(-0.027, 0.396, -3.093), scale=0.098, des="lime")
create("mesh/24.glb", loc=(0.519, -1.688, -0.35), rot=(-0.147, 0.076, -1.18), scale=0.234, des="basket")
create("mesh/25.glb", loc=(-0.631, -1.864, 0.211), rot=(1.888, 1.049, 0.674), scale=0.154, des="lemon")
create("mesh/26.glb", loc=(0.151, -1.613, -0.302), rot=(0.893, 0.432, -1.705), scale=0.14, des="lemon")
create("mesh/27.glb", loc=(-0.527, -1.815, 0.116), rot=(0.686, 0.157, 1.843), scale=0.155, des="lemon")
create("mesh/28.glb", loc=(-0.433, -1.915, 0.125), rot=(1.165, -0.863, 2.027), scale=0.138, des="lemon")
create("mesh/29.glb", loc=(-0.199, -1.56, -0.206), rot=(0.645, -1.899, 2.083), scale=0.113, des="lime")
create("mesh/30.glb", loc=(-0.044, -2.135, 0.083), rot=(-2.004, 2.267, -0.053), scale=0.176, des="lemon")
create("mesh/31.glb", loc=(-0.159, -1.47, -0.312), rot=(-0.029, -0.489, 2.975), scale=0.101, des="lime")
create("mesh/32.glb", loc=(-0.231, -1.474, -0.254), rot=(-0.058, -0.561, 3.057), scale=0.104, des="lime")
create("mesh/33.glb", loc=(-0.308, -1.411, -0.281), rot=(1.319, -2.784, -0.291), scale=0.094, des="lime")
create("mesh/34.glb", loc=(0.387, -1.722, -0.273), rot=(0.276, -0.325, 0.962), scale=0.105, des="lime")
create("mesh/35.glb", loc=(-0.036, -1.719, -0.104), rot=(0.081, 0.091, -1.006), scale=0.115, des="lime")
create("mesh/36.glb", loc=(-0.12, -1.771, -0.059), rot=(1.031, 0.217, 1.348), scale=0.122, des="lime")
create("mesh/37.glb", loc=(0.197, -1.613, -0.218), rot=(0.004, 0.125, -3.104), scale=0.093, des="lime")
create("mesh/38.glb", loc=(0.169, -1.492, -0.337), rot=(0.623, 1.211, 2.655), scale=0.095, des="lime")
create("mesh/39.glb", loc=(-0.312, -1.753, -0.122), rot=(2.541, -1.656, 0.259), scale=0.142, des="lemon")
create("mesh/40.glb", loc=(0.333, -1.708, -0.203), rot=(-0.099, 1.634, -2.66), scale=0.097, des="lime")
create("mesh/41.glb", loc=(0.52, -1.64, -0.33), rot=(-2.106, 2.289, 0.156), scale=0.093, des="lime")
create("mesh/42.glb", loc=(0.473, -1.689, -0.275), rot=(0.199, 0.775, -2.836), scale=0.1, des="lime")
create("mesh/43.glb", loc=(-0.37, -1.483, -0.252), rot=(2.187, 0.396, -0.103), scale=0.088, des="lime")
create("mesh/44.glb", loc=(-0.285, -1.563, -0.207), rot=(0.504, -1.099, 2.433), scale=0.101, des="lime")
create("mesh/45.glb", loc=(-0.534, -1.517, -0.023), rot=(0.013, -0.094, 1.662), scale=0.095, des="lime")
create("mesh/46.glb", loc=(-0.129, -1.74, -0.15), rot=(2.086, 0.64, -1.01), scale=0.115, des="lemon")
create("mesh/47.glb", loc=(-0.146, -1.585, -0.274), rot=(-0.16, -1.003, 2.701), scale=0.112, des="lime")
create("mesh/48.glb", loc=(-0.577, -1.653, 0.084), rot=(-2.888, -0.645, -0.246), scale=0.108, des="lime")
create("mesh/49.glb", loc=(-0.48, -1.353, -0.277), rot=(-3.103, 0.078, -0.034), scale=0.091, des="lime")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [90, 491, 200, 148]
Object 1 bbox: [192, 355, 149, 212]
Object 2 bbox: [152, 450, 207, 188]
Object 3 bbox: [194, 370, 69, 87]

[Assistant]
create("mesh/0.glb", loc=(0.042, -0.973, -0.352), rot=(-0.063, -0.037, 1.667), scale=0.345, des="jean")
create("mesh/1.glb", loc=(-0.104, -0.995, -0.197), rot=(-0.534, -0.421, 1.746), scale=0.32, des="tank_top_(clothing)")
create("mesh/2.glb", loc=(0.004, -1.256, -0.367), rot=(-0.003, -0.123, 1.817), scale=0.702, des="bench")
create("mesh/3.glb", loc=(-0.03, -0.994, -0.136), rot=(-0.959, 0.412, 1.854), scale=0.166, des="scarf")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [107, 33, 107, 220]

[Assistant] create("mesh/0.glb", loc=(0.033, -1.72, 0.221), rot=(-1.276, -0.464, -0.14), scale=0.322, des="baseball_bat")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [0, 296, 367, 125]
Object 1 bbox: [136, 237, 151, 257]

[Assistant]
create("mesh/0.glb", loc=(0.036, -1.186, -0.053), rot=(-0.88, 1.301, 0.852), scale=0.447, des="surfboard")
create("mesh/1.glb", loc=(-0.017, -1.151, -0.123), rot=(-0.045, -0.117, -2.728), scale=0.408, des="wet_suit")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 10 objects detected in the scene: Object 0 bbox: [113, 449, 140, 117]
Object 1 bbox: [319, 530, 120, 109]
Object 2 bbox: [248, 453, 122, 111]
Object 3 bbox: [220, 569, 110, 70]
Object 4 bbox: [0, 127, 62, 67]
Object 5 bbox: [367, 98, 72, 42]
Object 6 bbox: [141, 109, 111, 59]
Object 7 bbox: [186, 45, 62, 37]
Object 8 bbox: [411, 5, 28, 77]
Object 9 bbox: [388, 12, 32, 70]

[Assistant]
create("mesh/0.glb", loc=(0.073, -1.235, -0.378), rot=(0.309, -0.715, -2.892), scale=0.289, des="doughnut")
create("mesh/1.glb", loc=(-0.294, -1.035, -0.476), rot=(-0.092, -1.032, -2.935), scale=0.25, des="doughnut")
create("mesh/2.glb", loc=(-0.189, -1.255, -0.378), rot=(-0.016, -0.81, -3.012), scale=0.274, des="doughnut")
create("mesh/3.glb", loc=(-0.09, -0.949, -0.47), rot=(0.089, -0.65, -2.857), scale=0.205, des="doughnut")
create("mesh/4.glb", loc=(1.005, -3.245, 0.767), rot=(-0.107, -1.111, -2.173), scale=0.64, des="drawer")
create("mesh/5.glb", loc=(-1.396, -4.536, 1.434), rot=(-0.029, -0.842, -2.765), scale=0.521, des="drawer")
create("mesh/6.glb", loc=(0.172, -3.697, 0.751), rot=(-0.293, -1.657, -2.259), scale=0.724, des="drawer")
create("mesh/7.glb", loc=(-0.05, -2.898, 1.178), rot=(0.294, -0.708, -2.795), scale=0.478, des="bowl")
create("mesh/8.glb", loc=(-1.592, -4.356, 1.964), rot=(-0.251, -1.057, -2.617), scale=0.503, des="bottle")
create("mesh/9.glb", loc=(-0.496, -1.56, 0.701), rot=(-0.069, -1.388, -2.766), scale=0.241, des="bottle")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [23, 25, 323, 212]
Object 1 bbox: [92, 227, 210, 256]

[Assistant]
create("mesh/0.glb", loc=(0.001, -1.033, 0.127), rot=(-0.323, -0.544, -1.914), scale=0.487, des="flower_arrangement")
create("mesh/1.glb", loc=(-0.021, -1.019, -0.15), rot=(0.014, 0.283, -3.002), scale=0.378, des="vase")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [128, 152, 152, 449]
Object 1 bbox: [265, 277, 59, 83]

[Assistant]
create("mesh/0.glb", loc=(0.026, -1.775, -0.101), rot=(-1.245, -0.155, -0.138), scale=1.714, des="surfboard")
create("mesh/1.glb", loc=(-0.307, -2.104, -0.001), rot=(0.101, 2.898, 0.532), scale=0.29, des="poster")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 6 objects detected in the scene: Object 0 bbox: [89, 147, 293, 469]
Object 1 bbox: [330, 373, 52, 126]
Object 2 bbox: [0, 261, 61, 78]
Object 3 bbox: [338, 118, 44, 95]
Object 4 bbox: [120, 322, 44, 52]
Object 5 bbox: [148, 255, 34, 97]

[Assistant]
create("mesh/0.glb", loc=(-0.116, -1.627, -0.162), rot=(-0.281, 1.053, 2.381), scale=1.338, des="toilet")
create("mesh/1.glb", loc=(-0.61, -1.863, -0.397), rot=(0.037, 0.951, 2.717), scale=0.383, des="trash_can")
create("mesh/2.glb", loc=(0.459, -1.472, 0.045), rot=(-1.887, 0.091, 0.802), scale=0.234, des="toilet_tissue")
create("mesh/3.glb", loc=(-0.467, -1.351, 0.373), rot=(-0.043, 1.725, 1.937), scale=0.226, des="vase")
create("mesh/4.glb", loc=(0.172, -2.199, -0.113), rot=(2.032, 1.481, -0.561), scale=0.377, des="toilet_tissue")
create("mesh/5.glb", loc=(0.086, -2.551, 0.022), rot=(-0.167, -0.975, -2.725), scale=0.468, des="scrubbing_brush")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [78, 287, 131, 25]

[Assistant] create("mesh/0.glb", loc=(0.408, -1.643, -0.197), rot=(0.014, 0.03, -0.879), scale=0.337, des="boat")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 20 objects detected in the scene: Object 0 bbox: [411, 58, 172, 141]
Object 1 bbox: [241, 361, 148, 95]
Object 2 bbox: [256, 135, 133, 111]
Object 3 bbox: [62, 65, 79, 136]
Object 4 bbox: [129, 356, 88, 96]
Object 5 bbox: [49, 352, 82, 94]
Object 6 bbox: [415, 359, 181, 49]
Object 7 bbox: [246, 64, 158, 53]
Object 8 bbox: [414, 409, 131, 47]
Object 9 bbox: [501, 229, 89, 59]
Object 10 bbox: [416, 310, 72, 48]
Object 11 bbox: [228, 275, 181, 19]
Object 12 bbox: [45, 304, 63, 48]
Object 13 bbox: [487, 332, 111, 26]
Object 14 bbox: [108, 330, 105, 26]
Object 15 bbox: [488, 309, 111, 23]
Object 16 bbox: [435, 333, 36, 97]
Object 17 bbox: [49, 242, 55, 48]
Object 18 bbox: [109, 309, 103, 20]
Object 19 bbox: [607, 304, 32, 75]

[Assistant]
create("mesh/0.glb", loc=(-0.566, -1.823, 0.339), rot=(-0.005, 0.014, 3.119), scale=0.551, des="cupboard")
create("mesh/1.glb", loc=(0.009, -1.815, -0.524), rot=(0.005, -0.069, 3.11), scale=0.477, des="cupboard")
create("mesh/2.glb", loc=(-0.013, -2.005, 0.173), rot=(0.008, 0.076, 3.085), scale=0.487, des="curtain")
create("mesh/3.glb", loc=(0.701, -1.934, 0.339), rot=(0.046, -3.117, 0.081), scale=0.431, des="cupboard")
create("mesh/4.glb", loc=(0.438, -1.784, -0.503), rot=(0.002, -0.017, 2.994), scale=0.271, des="cupboard")
create("mesh/5.glb", loc=(0.706, -1.814, -0.499), rot=(-0.001, -0.021, 3.029), scale=0.273, des="cupboard")
create("mesh/6.glb", loc=(-0.555, -1.721, -0.424), rot=(0.007, -0.105, 3.126), scale=0.492, des="drawer")
create("mesh/7.glb", loc=(-0.016, -1.954, 0.493), rot=(-0.018, 0.028, 3.119), scale=0.524, des="curtain")
create("mesh/8.glb", loc=(-0.475, -1.712, -0.585), rot=(0.009, -0.13, 3.073), scale=0.372, des="drawer")
create("mesh/9.glb", loc=(-0.727, -1.825, -0.074), rot=(0.0, -0.015, 1.571), scale=0.331, des="microwave_oven")
create("mesh/10.glb", loc=(-0.39, -1.707, -0.28), rot=(-0.004, -0.087, 3.103), scale=0.213, des="drawer")
create("mesh/11.glb", loc=(-0.008, -1.831, -0.209), rot=(-0.02, -0.009, 3.107), scale=0.619, des="sink")
create("mesh/12.glb", loc=(0.741, -1.789, -0.281), rot=(-0.005, -0.063, 3.017), scale=0.187, des="drawer")
create("mesh/13.glb", loc=(-0.687, -1.787, -0.349), rot=(-0.326, -3.105, -0.096), scale=0.354, des="drawer")
create("mesh/14.glb", loc=(0.475, -1.846, -0.334), rot=(-0.104, -3.132, -0.055), scale=0.336, des="drawer")
create("mesh/15.glb", loc=(-0.687, -1.766, -0.279), rot=(-0.268, -3.117, -0.088), scale=0.328, des="drawer")
create("mesh/16.glb", loc=(-0.387, -1.658, -0.4), rot=(-0.095, -0.17, 1.062), scale=0.279, des="dishtowel")
create("mesh/17.glb", loc=(0.773, -1.857, -0.085), rot=(-0.01, -0.021, 1.507), scale=0.22, des="toaster")
create("mesh/18.glb", loc=(0.47, -1.851, -0.276), rot=(-0.053, -3.131, -0.025), scale=0.342, des="drawer")
create("mesh/19.glb", loc=(-0.815, -1.499, -0.277), rot=(-0.072, -0.05, 1.455), scale=0.205, des="dishtowel")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [147, 251, 227, 248]

[Assistant] create("mesh/0.glb", loc=(-0.167, -0.489, -0.16), rot=(-0.162, -0.111, 2.15), scale=0.315, des="laptop_computer")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [143, 9, 243, 256]
Object 1 bbox: [203, 539, 82, 47]

[Assistant]
create("mesh/0.glb", loc=(0.004, -1.131, 0.198), rot=(0.651, 2.208, -1.368), scale=0.443, des="baseball_bat")
create("mesh/1.glb", loc=(0.105, -1.299, -0.457), rot=(-0.295, 0.408, 1.809), scale=0.162, des="shoe")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 18 objects detected in the scene: Object 0 bbox: [95, 132, 185, 468]
Object 1 bbox: [254, 206, 143, 184]
Object 2 bbox: [215, 298, 175, 282]
Object 3 bbox: [97, 190, 142, 206]
Object 4 bbox: [356, 85, 69, 265]
Object 5 bbox: [153, 203, 86, 165]
Object 6 bbox: [25, 166, 62, 148]
Object 7 bbox: [346, 345, 78, 200]
Object 8 bbox: [0, 202, 88, 155]
Object 9 bbox: [339, 204, 71, 123]
Object 10 bbox: [340, 204, 70, 128]
Object 11 bbox: [75, 172, 74, 174]
Object 12 bbox: [214, 171, 48, 117]
Object 13 bbox: [24, 194, 62, 77]
Object 14 bbox: [333, 346, 61, 98]
Object 15 bbox: [75, 201, 74, 109]
Object 16 bbox: [218, 208, 41, 76]
Object 17 bbox: [161, 221, 27, 140]

[Assistant]
create("mesh/0.glb", loc=(0.007, -1.3, -0.043), rot=(-0.092, 0.16, -2.676), scale=0.338, des="person")
create("mesh/1.glb", loc=(-0.164, -2.63, 0.026), rot=(-0.043, -0.073, 2.471), scale=0.285, des="baby_buggy")
create("mesh/2.glb", loc=(-0.104, -1.338, -0.105), rot=(0.027, -0.067, -1.766), scale=0.177, des="chair")
create("mesh/3.glb", loc=(0.024, -1.291, 0.008), rot=(-0.252, -0.331, -2.592), scale=0.18, des="jacket")
create("mesh/4.glb", loc=(-0.292, -2.641, 0.149), rot=(-0.027, 0.066, 2.154), scale=0.403, des="person")
create("mesh/5.glb", loc=(0.011, -1.31, 0.022), rot=(-0.435, 0.047, -2.612), scale=0.128, des="tartan")
create("mesh/6.glb", loc=(0.263, -3.257, 0.161), rot=(0.065, -0.006, -2.686), scale=0.3, des="person")
create("mesh/7.glb", loc=(-0.175, -1.508, -0.11), rot=(-0.109, -0.04, -0.558), scale=0.174, des="chair")
create("mesh/8.glb", loc=(0.289, -3.101, 0.065), rot=(-0.088, 0.047, -1.46), scale=0.266, des="person")
create("mesh/9.glb", loc=(-0.259, -2.671, 0.075), rot=(-0.093, 0.108, -1.969), scale=0.181, des="blanket")
create("mesh/10.glb", loc=(-0.249, -2.682, 0.071), rot=(-0.244, -0.055, -1.06), scale=0.19, des="jacket")
create("mesh/11.glb", loc=(0.152, -3.113, 0.107), rot=(-0.375, 0.073, 0.236), scale=0.332, des="person")
create("mesh/12.glb", loc=(-0.049, -2.994, 0.145), rot=(-0.5, 0.422, 0.673), scale=0.283, des="person")
create("mesh/13.glb", loc=(0.278, -3.304, 0.169), rot=(0.435, 0.069, -2.554), scale=0.158, des="jacket")
create("mesh/14.glb", loc=(-0.129, -1.5, -0.062), rot=(-0.116, -0.105, -1.686), scale=0.093, des="plastic_bag")
create("mesh/15.glb", loc=(0.125, -3.138, 0.073), rot=(-0.33, 0.007, 0.019), scale=0.224, des="jacket")
create("mesh/16.glb", loc=(-0.053, -2.997, 0.119), rot=(-0.661, 0.314, 0.61), scale=0.242, des="jacket")
create("mesh/17.glb", loc=(0.019, -1.282, 0.009), rot=(-0.163, -0.382, 3.104), scale=0.097, des="necktie")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 9 objects detected in the scene: Object 0 bbox: [175, 111, 199, 224]
Object 1 bbox: [327, 245, 125, 180]
Object 2 bbox: [223, 303, 127, 122]
Object 3 bbox: [11, 298, 94, 94]
Object 4 bbox: [382, 341, 62, 57]
Object 5 bbox: [8, 94, 71, 84]
Object 6 bbox: [345, 343, 32, 80]
Object 7 bbox: [17, 160, 86, 42]
Object 8 bbox: [563, 134, 76, 37]

[Assistant]
create("mesh/0.glb", loc=(0.031, -1.4, -0.021), rot=(-0.044, -0.008, -2.526), scale=0.26, des="jersey")
create("mesh/1.glb", loc=(-0.115, -2.004, -0.204), rot=(0.033, 0.001, 0.746), scale=0.281, des="scoreboard")
create("mesh/2.glb", loc=(0.02, -1.404, -0.177), rot=(-0.118, 0.061, -2.404), scale=0.15, des="short_pants")
create("mesh/3.glb", loc=(0.211, -1.279, -0.136), rot=(-0.829, -0.856, -0.365), scale=0.186, des="tennis_racket")
create("mesh/4.glb", loc=(-0.155, -2.059, -0.242), rot=(0.008, 0.128, -2.314), scale=0.129, des="clock")
create("mesh/5.glb", loc=(0.546, -2.735, 0.157), rot=(0.05, 0.479, -2.6), scale=0.198, des="jersey")
create("mesh/6.glb", loc=(-0.056, -1.974, -0.261), rot=(-2.739, -1.411, 0.218), scale=0.127, des="clock")
create("mesh/7.glb", loc=(0.494, -2.64, 0.071), rot=(0.056, 0.256, -2.864), scale=0.173, des="short_pants")
create("mesh/8.glb", loc=(-0.597, -2.77, 0.123), rot=(0.107, -0.01, 2.957), scale=0.198, des="jersey")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [444, 0, 195, 426]
Object 1 bbox: [287, 83, 176, 169]
Object 2 bbox: [213, 213, 43, 112]

[Assistant]
create("mesh/0.glb", loc=(-0.327, -1.156, -0.02), rot=(0.037, -0.02, 1.486), scale=0.432, des="bus_(vehicle)")
create("mesh/1.glb", loc=(-0.142, -3.006, 0.046), rot=(-0.063, 0.02, 0.108), scale=0.742, des="bus_(vehicle)")
create("mesh/2.glb", loc=(0.147, -2.186, -0.09), rot=(0.032, -0.303, 2.853), scale=0.202, des="dress")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 8 objects detected in the scene: Object 0 bbox: [0, 176, 640, 303]
Object 1 bbox: [1, 176, 638, 302]
Object 2 bbox: [370, 103, 194, 212]
Object 3 bbox: [294, 0, 100, 155]
Object 4 bbox: [2, 1, 98, 180]
Object 5 bbox: [424, 93, 201, 64]
Object 6 bbox: [514, 41, 89, 40]
Object 7 bbox: [574, 157, 65, 59]

[Assistant]
create("mesh/0.glb", loc=(0.095, -1.241, -0.125), rot=(-0.122, -0.779, -2.765), scale=1.652, des="tray")
create("mesh/1.glb", loc=(0.101, -1.188, -0.113), rot=(-0.127, -0.793, -2.757), scale=1.627, des="plate")
create("mesh/2.glb", loc=(-0.352, -1.209, 0.085), rot=(-0.494, 0.058, 0.238), scale=0.571, des="jar")
create("mesh/3.glb", loc=(-0.113, -1.631, 0.466), rot=(-0.018, -1.074, -2.909), scale=0.618, des="glass_(drink_container)")
create("mesh/4.glb", loc=(1.022, -1.593, 0.565), rot=(-0.676, 0.328, 0.378), scale=0.708, des="glass_(drink_container)")
create("mesh/5.glb", loc=(-0.699, -1.908, 0.342), rot=(-0.174, -0.594, -2.682), scale=0.888, des="plate")
create("mesh/6.glb", loc=(-1.331, -2.829, 0.921), rot=(-0.126, 0.863, 2.448), scale=0.42, des="plate")
create("mesh/7.glb", loc=(-0.984, -1.569, 0.089), rot=(-0.596, 0.268, 1.792), scale=0.528, des="spoon")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [397, 229, 241, 249]
Object 1 bbox: [269, 203, 104, 243]
Object 2 bbox: [0, 239, 150, 132]
Object 3 bbox: [0, 3, 74, 176]

[Assistant]
create("mesh/0.glb", loc=(-0.606, -1.213, -0.469), rot=(-0.534, 0.56, 1.468), scale=1.182, des="bathtub")
create("mesh/1.glb", loc=(-0.024, -1.652, -0.298), rot=(-0.065, 1.223, 2.829), scale=0.768, des="toilet")
create("mesh/2.glb", loc=(0.629, -1.226, -0.183), rot=(-0.384, -0.931, -1.738), scale=0.456, des="sink")
create("mesh/3.glb", loc=(0.912, -1.474, 0.444), rot=(1.524, -2.238, 0.763), scale=0.492, des="mirror")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [317, 70, 292, 284]

[Assistant] create("mesh/0.glb", loc=(-0.213, -1.289, -0.003), rot=(0.143, 0.041, -1.939), scale=0.456, des="apple")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [167, 139, 472, 270]

[Assistant] create("mesh/0.glb", loc=(-0.31, -1.685, -0.069), rot=(0.066, -0.074, 2.404), scale=1.118, des="pillow")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [143, 5, 311, 370]
Object 1 bbox: [0, 273, 640, 153]
Object 2 bbox: [452, 243, 166, 113]

[Assistant]
create("mesh/0.glb", loc=(0.066, -1.787, 0.084), rot=(-0.194, 0.045, 0.073), scale=0.813, des="cake")
create("mesh/1.glb", loc=(0.026, -1.778, -0.387), rot=(-0.029, -0.337, -3.039), scale=2.51, des="table")
create("mesh/2.glb", loc=(-0.566, -1.781, -0.214), rot=(-0.256, -0.016, 1.579), scale=0.447, des="cake")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [354, 110, 36, 67]

[Assistant] create("mesh/0.glb", loc=(-0.477, -3.121, 0.516), rot=(0.018, 0.965, 2.985), scale=0.179, des="backpack")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 15 objects detected in the scene: Object 0 bbox: [11, 257, 628, 222]
Object 1 bbox: [423, 152, 114, 200]
Object 2 bbox: [249, 74, 72, 311]
Object 3 bbox: [532, 300, 88, 121]
Object 4 bbox: [170, 217, 65, 154]
Object 5 bbox: [170, 218, 65, 152]
Object 6 bbox: [577, 224, 62, 169]
Object 7 bbox: [0, 322, 106, 65]
Object 8 bbox: [577, 225, 62, 87]
Object 9 bbox: [320, 274, 184, 147]
Object 10 bbox: [396, 57, 81, 66]
Object 11 bbox: [377, 201, 40, 93]
Object 12 bbox: [378, 201, 40, 94]
Object 13 bbox: [0, 374, 40, 105]
Object 14 bbox: [176, 281, 53, 62]

[Assistant]
create("mesh/0.glb", loc=(0.024, -1.275, -0.275), rot=(-0.084, 0.221, 2.8), scale=1.311, des="dining_table")
create("mesh/1.glb", loc=(-0.452, -1.322, -0.031), rot=(-0.062, 0.017, 1.181), scale=0.538, des="pitcher_(vessel_for_liquid)")
create("mesh/2.glb", loc=(0.063, -0.953, -0.004), rot=(-0.216, 0.107, 0.908), scale=0.633, des="wine_bottle")
create("mesh/3.glb", loc=(-0.517, -0.992, -0.234), rot=(-0.03, 0.067, 2.818), scale=0.198, des="glass_(drink_container)")
create("mesh/4.glb", loc=(0.239, -1.028, -0.136), rot=(-0.022, -0.079, -3.065), scale=0.361, des="wineglass")
create("mesh/5.glb", loc=(0.233, -1.002, -0.141), rot=(-0.025, -0.058, -3.06), scale=0.345, des="glass_(drink_container)")
create("mesh/6.glb", loc=(-0.75, -1.165, -0.167), rot=(0.157, 3.135, -0.12), scale=0.353, des="wineglass")
create("mesh/7.glb", loc=(0.582, -1.059, -0.25), rot=(-0.06, -0.22, -2.32), scale=0.224, des="tray")
create("mesh/8.glb", loc=(-0.696, -1.156, -0.075), rot=(-0.081, -0.24, -3.031), scale=0.211, des="glass_(drink_container)")
create("mesh/9.glb", loc=(-0.163, -1.154, -0.214), rot=(-0.124, 0.326, 2.045), scale=0.738, des="tray")
create("mesh/10.glb", loc=(-1.392, -5.105, 1.39), rot=(-0.129, 0.153, 1.953), scale=1.147, des="microwave_oven")
create("mesh/11.glb", loc=(-0.729, -4.384, -0.156), rot=(-0.009, -0.095, -3.128), scale=0.807, des="glass_(drink_container)")
create("mesh/12.glb", loc=(-0.711, -4.416, -0.153), rot=(0.009, 0.083, 3.138), scale=0.831, des="wineglass")
create("mesh/13.glb", loc=(0.423, -0.706, -0.268), rot=(-0.407, 0.042, 0.515), scale=0.319, des="spoon")
create("mesh/14.glb", loc=(0.307, -1.355, -0.193), rot=(-0.009, 0.059, -3.076), scale=0.177, des="glass_(drink_container)")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [1, 135, 159, 341]
Object 1 bbox: [1, 42, 427, 69]
Object 2 bbox: [534, 0, 103, 56]

[Assistant]
create("mesh/0.glb", loc=(0.751, -1.451, -0.202), rot=(-0.918, -1.095, -0.813), scale=0.973, des="napkin")
create("mesh/1.glb", loc=(0.125, -1.537, 0.427), rot=(-1.022, -1.4, -0.68), scale=1.366, des="fork")
create("mesh/2.glb", loc=(-1.122, -2.044, 0.878), rot=(-0.288, -1.796, 2.227), scale=0.413, des="shirt")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [223, 45, 130, 256]

[Assistant] create("mesh/0.glb", loc=(-0.007, -1.108, 0.069), rot=(0.259, 0.576, -2.293), scale=0.147, des="traffic_light")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [56, 175, 53, 106]

[Assistant] create("mesh/0.glb", loc=(0.591, -2.353, -0.044), rot=(0.001, -1.404, -2.418), scale=0.328, des="statue_(sculpture)")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [154, 82, 55, 190]
Object 1 bbox: [197, 144, 302, 177]
Object 2 bbox: [313, 233, 57, 141]

[Assistant]
create("mesh/0.glb", loc=(0.135, -2.618, 0.016), rot=(-0.054, -0.02, -0.542), scale=0.432, des="fireplug")
create("mesh/1.glb", loc=(-0.243, -2.442, -0.126), rot=(0.246, -0.148, -1.557), scale=0.783, des="fire_hose")
create("mesh/2.glb", loc=(-0.116, -1.69, -0.177), rot=(0.15, -0.522, 2.93), scale=0.205, des="cone")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 8 objects detected in the scene: Object 0 bbox: [491, 195, 110, 277]
Object 1 bbox: [402, 13, 93, 256]
Object 2 bbox: [182, 285, 267, 151]
Object 3 bbox: [182, 285, 267, 150]
Object 4 bbox: [293, 318, 209, 131]
Object 5 bbox: [293, 319, 210, 130]
Object 6 bbox: [176, 273, 203, 95]
Object 7 bbox: [179, 246, 194, 92]

[Assistant]
create("mesh/0.glb", loc=(-0.712, -1.645, -0.275), rot=(-0.093, -0.464, 3.09), scale=0.883, des="bottle")
create("mesh/1.glb", loc=(-0.407, -1.703, 0.312), rot=(-0.046, 0.417, -3.024), scale=0.817, des="bottle")
create("mesh/2.glb", loc=(0.004, -1.611, -0.369), rot=(-0.812, 1.298, 1.555), scale=0.793, des="box")
create("mesh/3.glb", loc=(0.005, -1.603, -0.368), rot=(-0.851, 1.336, 1.528), scale=0.799, des="toothpaste")
create("mesh/4.glb", loc=(-0.248, -1.6, -0.44), rot=(0.413, -2.158, 1.855), scale=0.646, des="box")
create("mesh/5.glb", loc=(-0.252, -1.6, -0.436), rot=(0.43, -2.182, 1.816), scale=0.629, des="toothpaste")
create("mesh/6.glb", loc=(0.096, -1.658, -0.249), rot=(2.188, -1.951, -0.688), scale=0.679, des="toothbrush")
create("mesh/7.glb", loc=(0.111, -1.67, -0.17), rot=(-0.606, 1.093, 1.662), scale=0.661, des="toothbrush")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [207, 184, 278, 158]

[Assistant] create("mesh/0.glb", loc=(0.074, -2.283, -0.131), rot=(-0.002, -0.069, 0.326), scale=3.09, des="train_(railroad_vehicle)")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [568, 0, 50, 117]

[Assistant] create("mesh/0.glb", loc=(-4.603, -10.084, 2.948), rot=(0.007, 0.077, 2.826), scale=2.201, des="clock_tower")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [285, 71, 51, 43]

[Assistant] create("mesh/0.glb", loc=(0.029, -4.906, 0.237), rot=(-0.23, -0.035, -0.319), scale=0.244, des="car_(automobile)")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 8 objects detected in the scene: Object 0 bbox: [152, 147, 187, 281]
Object 1 bbox: [180, 353, 226, 126]
Object 2 bbox: [153, 147, 178, 158]
Object 3 bbox: [198, 232, 136, 123]
Object 4 bbox: [153, 146, 168, 69]
Object 5 bbox: [322, 200, 67, 114]
Object 6 bbox: [449, 233, 69, 124]
Object 7 bbox: [322, 200, 67, 73]

[Assistant]
create("mesh/0.glb", loc=(0.242, -1.848, -0.183), rot=(-0.108, -1.298, -2.567), scale=0.932, des="toilet")
create("mesh/1.glb", loc=(0.098, -1.907, -0.685), rot=(0.4, -2.906, 1.086), scale=0.744, des="bath_mat")
create("mesh/2.glb", loc=(0.271, -2.029, 0.057), rot=(-0.189, -1.135, -2.665), scale=0.674, des="cistern")
create("mesh/3.glb", loc=(0.167, -1.676, -0.177), rot=(-0.111, -1.071, -2.643), scale=0.483, des="cover")
create("mesh/4.glb", loc=(0.254, -2.029, 0.188), rot=(0.031, -1.505, -2.419), scale=0.635, des="cover")
create("mesh/5.glb", loc=(-0.151, -2.793, -0.121), rot=(-0.658, 0.655, 1.637), scale=0.437, des="trash_can")
create("mesh/6.glb", loc=(-0.463, -1.504, -0.191), rot=(-0.718, -0.49, -1.216), scale=0.454, des="toilet_tissue")
create("mesh/7.glb", loc=(-0.166, -2.494, -0.046), rot=(-0.126, -1.497, -2.396), scale=0.331, des="plastic_bag")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [205, 36, 391, 443]
Object 1 bbox: [128, 279, 204, 200]

[Assistant]
create("mesh/0.glb", loc=(-0.118, -1.235, -0.146), rot=(-0.131, 0.079, 0.713), scale=1.074, des="giraffe")
create("mesh/1.glb", loc=(0.116, -1.153, -0.291), rot=(0.022, 0.186, -2.203), scale=0.466, des="giraffe")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 11 objects detected in the scene: Object 0 bbox: [35, 0, 603, 479]
Object 1 bbox: [373, 197, 110, 87]
Object 2 bbox: [253, 141, 93, 84]
Object 3 bbox: [219, 311, 57, 57]
Object 4 bbox: [73, 248, 61, 58]
Object 5 bbox: [344, 172, 56, 56]
Object 6 bbox: [484, 111, 46, 84]
Object 7 bbox: [313, 126, 50, 62]
Object 8 bbox: [108, 293, 57, 46]
Object 9 bbox: [398, 65, 52, 44]
Object 10 bbox: [466, 215, 67, 37]

[Assistant]
create("mesh/0.glb", loc=(0.083, -1.796, 0.325), rot=(-0.875, 0.015, 0.336), scale=2.272, des="table")
create("mesh/1.glb", loc=(-0.25, -1.364, -0.026), rot=(-0.645, 1.807, 1.801), scale=0.223, des="lettuce")
create("mesh/2.glb", loc=(0.043, -1.473, 0.128), rot=(-1.603, -1.713, -1.892), scale=0.32, des="lettuce")
create("mesh/3.glb", loc=(0.16, -1.308, -0.226), rot=(0.117, -2.198, -2.129), scale=0.142, des="raspberry")
create("mesh/4.glb", loc=(0.525, -1.435, -0.094), rot=(0.501, 1.85, -1.114), scale=0.171, des="raspberry")
create("mesh/5.glb", loc=(-0.133, -1.44, 0.091), rot=(-0.892, -2.799, 1.102), scale=0.175, des="tomato")
create("mesh/6.glb", loc=(-0.525, -1.596, 0.216), rot=(-0.596, -1.26, 1.934), scale=0.254, des="lettuce")
create("mesh/7.glb", loc=(-0.05, -1.498, 0.212), rot=(0.049, 1.788, -1.801), scale=0.179, des="tomato")
create("mesh/8.glb", loc=(0.42, -1.351, -0.178), rot=(-1.244, 1.184, 1.193), scale=0.142, des="raspberry")
create("mesh/9.glb", loc=(-0.307, -1.688, 0.437), rot=(0.53, -0.547, 2.011), scale=0.179, des="tomato")
create("mesh/10.glb", loc=(-0.442, -1.44, 0.009), rot=(-0.925, 1.153, 0.895), scale=0.17, des="lettuce")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [168, 183, 197, 144]
Object 1 bbox: [176, 187, 89, 88]

[Assistant]
create("mesh/0.glb", loc=(0.065, -1.438, -0.073), rot=(-0.079, 0.022, -0.955), scale=0.408, des="motorcycle")
create("mesh/1.glb", loc=(0.149, -1.387, -0.029), rot=(-0.016, -0.079, -1.004), scale=0.303, des="jean")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 16 objects detected in the scene: Object 0 bbox: [70, 60, 269, 153]
Object 1 bbox: [105, 246, 133, 179]
Object 2 bbox: [463, 156, 153, 76]
Object 3 bbox: [222, 324, 135, 101]
Object 4 bbox: [465, 338, 133, 63]
Object 5 bbox: [542, 284, 96, 61]
Object 6 bbox: [421, 149, 88, 73]
Object 7 bbox: [414, 57, 69, 63]
Object 8 bbox: [206, 178, 82, 41]
Object 9 bbox: [487, 218, 126, 40]
Object 10 bbox: [67, 356, 43, 66]
Object 11 bbox: [28, 335, 83, 69]
Object 12 bbox: [195, 219, 44, 78]
Object 13 bbox: [395, 304, 73, 44]
Object 14 bbox: [495, 405, 82, 20]
Object 15 bbox: [592, 346, 47, 37]

[Assistant]
create("mesh/0.glb", loc=(0.147, -1.38, 0.083), rot=(-0.725, 0.079, 1.159), scale=0.373, des="umbrella")
create("mesh/1.glb", loc=(0.188, -1.355, -0.144), rot=(-0.082, -0.015, 1.676), scale=0.305, des="skirt")
create("mesh/2.glb", loc=(-0.414, -1.91, 0.038), rot=(-0.145, 0.101, 0.607), scale=0.304, des="flower_arrangement")
create("mesh/3.glb", loc=(0.051, -1.588, -0.232), rot=(0.021, -0.062, -3.023), scale=0.311, des="flower_arrangement")
create("mesh/4.glb", loc=(-0.355, -1.699, -0.257), rot=(-0.073, 0.135, 1.528), scale=0.228, des="flower_arrangement")
create("mesh/5.glb", loc=(-0.518, -1.956, -0.18), rot=(-0.049, 0.047, 1.322), scale=0.193, des="flower_arrangement")
create("mesh/6.glb", loc=(-0.322, -2.24, 0.064), rot=(-0.179, 0.12, 0.924), scale=0.228, des="flower_arrangement")
create("mesh/7.glb", loc=(-0.341, -2.798, 0.345), rot=(-1.045, 0.471, 0.088), scale=0.202, des="flower_arrangement")
create("mesh/8.glb", loc=(0.165, -2.243, 0.05), rot=(-0.501, -0.097, 0.196), scale=0.247, des="flower_arrangement")
create("mesh/9.glb", loc=(-0.435, -1.947, -0.064), rot=(-0.055, -0.0, -1.476), scale=0.217, des="flowerpot")
create("mesh/10.glb", loc=(0.343, -1.574, -0.268), rot=(-0.13, 0.253, 2.949), scale=0.111, des="flower_arrangement")
create("mesh/11.glb", loc=(0.396, -1.623, -0.227), rot=(-0.081, 0.217, 1.738), scale=0.138, des="flower_arrangement")
create("mesh/12.glb", loc=(0.129, -1.34, -0.059), rot=(-0.529, 0.003, -2.605), scale=0.082, des="handbag")
create("mesh/13.glb", loc=(-0.229, -2.081, -0.22), rot=(-0.099, -0.011, -0.265), scale=0.158, des="flower_arrangement")
create("mesh/14.glb", loc=(-0.354, -1.682, -0.325), rot=(0.047, -0.043, 1.537), scale=0.116, des="flowerpot")
create("mesh/15.glb", loc=(-0.489, -1.705, -0.238), rot=(-0.028, -0.204, -3.066), scale=0.1, des="flower_arrangement")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [195, 165, 224, 107]

[Assistant] create("mesh/0.glb", loc=(-0.009, -1.703, 0.042), rot=(-0.13, -0.024, -0.759), scale=0.51, des="boat")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 6 objects detected in the scene: Object 0 bbox: [28, 163, 158, 106]
Object 1 bbox: [64, 86, 158, 70]
Object 2 bbox: [0, 147, 31, 134]
Object 3 bbox: [77, 142, 145, 35]
Object 4 bbox: [451, 98, 186, 93]
Object 5 bbox: [20, 142, 70, 72]

[Assistant]
create("mesh/0.glb", loc=(0.545, -1.14, 0.029), rot=(-0.152, 1.347, 2.108), scale=0.391, des="lettuce")
create("mesh/1.glb", loc=(0.561, -1.465, 0.39), rot=(-0.631, -0.667, -1.6), scale=0.614, des="prawn")
create("mesh/2.glb", loc=(0.882, -1.26, 0.058), rot=(-0.6, -1.548, 1.195), scale=0.475, des="prawn")
create("mesh/3.glb", loc=(0.496, -1.341, 0.227), rot=(-0.064, -0.085, -1.371), scale=0.492, des="prawn")
create("mesh/4.glb", loc=(-0.906, -1.644, 0.292), rot=(-1.052, 0.818, 0.706), scale=0.873, des="fork")
create("mesh/5.glb", loc=(0.839, -1.408, 0.16), rot=(-1.035, -0.603, 0.006), scale=0.239, des="lettuce")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 8 objects detected in the scene: Object 0 bbox: [366, 123, 137, 236]
Object 1 bbox: [0, 275, 280, 84]
Object 2 bbox: [494, 130, 145, 143]
Object 3 bbox: [0, 0, 270, 38]
Object 4 bbox: [218, 112, 204, 58]
Object 5 bbox: [489, 253, 150, 66]
Object 6 bbox: [310, 0, 212, 16]
Object 7 bbox: [370, 139, 58, 94]

[Assistant]
create("mesh/0.glb", loc=(-0.404, -2.127, -0.244), rot=(-0.282, -0.35, -1.884), scale=0.916, des="cabinet")
create("mesh/1.glb", loc=(0.309, -1.273, -0.588), rot=(-0.144, -0.226, -1.821), scale=0.664, des="cabinet")
create("mesh/2.glb", loc=(-1.069, -2.465, -0.124), rot=(-0.074, 0.294, 2.693), scale=1.17, des="oven")
create("mesh/3.glb", loc=(0.258, -1.187, 0.324), rot=(-0.171, -0.27, -1.847), scale=0.704, des="cabinet")
create("mesh/4.glb", loc=(-0.049, -2.193, 0.117), rot=(-0.236, -0.316, -1.895), scale=0.729, des="kitchen_sink")
create("mesh/5.glb", loc=(-1.083, -2.616, -0.433), rot=(-0.076, 0.183, 2.746), scale=0.601, des="drawer")
create("mesh/6.glb", loc=(-0.41, -2.511, 0.705), rot=(-0.281, -0.028, -0.153), scale=0.86, des="cabinet")
create("mesh/7.glb", loc=(-0.276, -1.969, -0.037), rot=(-0.358, -0.363, -1.944), scale=0.515, des="drawer")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 7 objects detected in the scene: Object 0 bbox: [0, 114, 154, 123]
Object 1 bbox: [211, 121, 191, 102]
Object 2 bbox: [493, 5, 114, 70]
Object 3 bbox: [483, 53, 109, 82]
Object 4 bbox: [0, 91, 157, 46]
Object 5 bbox: [0, 57, 164, 26]
Object 6 bbox: [0, 34, 156, 14]

[Assistant]
create("mesh/0.glb", loc=(0.446, -1.019, 0.068), rot=(-0.656, 0.017, 0.53), scale=0.294, des="pot")
create("mesh/1.glb", loc=(-0.003, -2.0, 0.195), rot=(-0.605, -0.476, -1.11), scale=0.775, des="cat")
create("mesh/2.glb", loc=(-1.368, -3.026, 0.944), rot=(-0.482, 0.552, 2.146), scale=0.594, des="drawer")
create("mesh/3.glb", loc=(-1.341, -3.114, 0.654), rot=(-0.559, 0.345, 2.156), scale=0.595, des="drawer")
create("mesh/4.glb", loc=(0.387, -0.92, 0.153), rot=(-0.022, -0.689, -2.828), scale=0.291, des="pot")
create("mesh/5.glb", loc=(0.37, -0.927, 0.213), rot=(-0.24, 0.199, 1.496), scale=0.246, des="plate")
create("mesh/6.glb", loc=(0.382, -0.908, 0.258), rot=(-0.158, -0.205, -1.699), scale=0.23, des="plate")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [383, 338, 93, 125]
Object 1 bbox: [305, 151, 27, 203]

[Assistant]
create("mesh/0.glb", loc=(-0.389, -1.794, -0.167), rot=(-0.102, -0.182, -2.264), scale=0.273, des="fireplug")
create("mesh/1.glb", loc=(-0.251, -2.496, 0.179), rot=(-0.034, -0.34, -2.983), scale=0.617, des="parking_meter")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 6 objects detected in the scene: Object 0 bbox: [202, 286, 206, 214]
Object 1 bbox: [432, 5, 101, 367]
Object 2 bbox: [196, 132, 141, 213]
Object 3 bbox: [23, 354, 92, 90]
Object 4 bbox: [365, 257, 92, 117]
Object 5 bbox: [220, 127, 79, 92]

[Assistant]
create("mesh/0.glb", loc=(0.005, -0.429, -0.102), rot=(0.154, -0.436, 2.247), scale=0.176, des="cow")
create("mesh/1.glb", loc=(-2.096, -9.428, 0.849), rot=(0.171, -0.24, 2.141), scale=5.344, des="clock_tower")
create("mesh/2.glb", loc=(0.027, -0.526, 0.012), rot=(0.103, 0.812, -2.418), scale=0.191, des="cow")
create("mesh/3.glb", loc=(0.993, -2.803, -0.597), rot=(0.073, 0.335, -2.488), scale=0.747, des="bus_(vehicle)")
create("mesh/4.glb", loc=(-0.398, -2.421, -0.365), rot=(0.02, 0.024, -0.489), scale=0.246, des="Ferris_wheel")
create("mesh/5.glb", loc=(0.03, -0.548, 0.061), rot=(0.102, 0.683, -2.635), scale=0.124, des="cow")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 5 objects detected in the scene: Object 0 bbox: [278, 307, 110, 171]
Object 1 bbox: [422, 302, 86, 175]
Object 2 bbox: [257, 196, 145, 114]
Object 3 bbox: [390, 204, 106, 124]
Object 4 bbox: [214, 370, 62, 59]

[Assistant]
create("mesh/0.glb", loc=(-0.034, -1.28, -0.339), rot=(0.097, 0.526, -2.873), scale=0.437, des="jean")
create("mesh/1.glb", loc=(-0.425, -1.784, -0.419), rot=(0.054, -0.437, 2.551), scale=0.596, des="jean")
create("mesh/2.glb", loc=(-0.036, -1.354, -0.024), rot=(0.085, 0.307, -2.913), scale=0.356, des="sweater")
create("mesh/3.glb", loc=(-0.331, -1.796, -0.073), rot=(0.56, 0.357, 2.042), scale=0.373, des="sweater")
create("mesh/4.glb", loc=(0.194, -1.519, -0.385), rot=(-0.286, 2.151, -1.87), scale=0.237, des="jean")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [212, 207, 86, 80]
Object 1 bbox: [113, 212, 116, 70]

[Assistant]
create("mesh/0.glb", loc=(0.072, -1.242, -0.061), rot=(-0.163, -0.1, 0.724), scale=0.128, des="wheelchair")
create("mesh/1.glb", loc=(0.185, -1.39, -0.071), rot=(-0.043, 0.011, -0.66), scale=0.199, des="bench")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 6 objects detected in the scene: Object 0 bbox: [153, 332, 486, 91]
Object 1 bbox: [348, 414, 291, 65]
Object 2 bbox: [57, 304, 126, 175]
Object 3 bbox: [511, 260, 72, 113]
Object 4 bbox: [247, 340, 103, 45]
Object 5 bbox: [445, 244, 76, 84]

[Assistant]
create("mesh/0.glb", loc=(-0.156, -1.43, -0.311), rot=(0.007, 0.099, 3.023), scale=1.074, des="desk")
create("mesh/1.glb", loc=(-0.214, -0.769, -0.259), rot=(0.053, 0.06, 2.862), scale=0.314, des="desk")
create("mesh/2.glb", loc=(0.46, -1.721, -0.411), rot=(-0.087, 0.558, 3.072), scale=0.801, des="trousers")
create("mesh/3.glb", loc=(-0.441, -1.402, -0.144), rot=(-2.811, -1.288, 0.009), scale=0.268, des="monitor_(computer_equipment) computer_monitor")
create("mesh/4.glb", loc=(0.041, -1.419, -0.224), rot=(0.018, -0.079, 2.646), scale=0.163, des="projector")
create("mesh/5.glb", loc=(-0.415, -1.834, -0.132), rot=(0.201, -0.071, -2.946), scale=0.25, des="trousers")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [47, 495, 116, 89]
Object 1 bbox: [368, 540, 106, 59]
Object 2 bbox: [238, 52, 64, 78]

[Assistant]
create("mesh/0.glb", loc=(0.402, -1.504, -0.473), rot=(0.32, 0.941, -2.902), scale=0.244, des="tissue_paper")
create("mesh/1.glb", loc=(-0.237, -1.5, -0.555), rot=(-0.62, -1.896, -1.926), scale=0.222, des="doughnut")
create("mesh/2.glb", loc=(0.133, -3.637, 0.964), rot=(0.164, -0.413, -2.69), scale=0.341, des="blackboard")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [315, 159, 254, 318]
Object 1 bbox: [257, 152, 133, 198]
Object 2 bbox: [140, 312, 184, 150]
Object 3 bbox: [555, 338, 40, 141]

[Assistant]
create("mesh/0.glb", loc=(-0.155, -1.395, -0.254), rot=(-0.068, 0.028, 0.847), scale=0.853, des="sweatshirt")
create("mesh/1.glb", loc=(0.006, -3.053, -0.176), rot=(-0.188, -0.062, -0.757), scale=0.988, des="sweatshirt")
create("mesh/2.glb", loc=(0.293, -2.014, -0.294), rot=(-0.109, -0.174, -2.629), scale=0.519, des="sweatshirt")
create("mesh/3.glb", loc=(-0.448, -1.776, -0.277), rot=(0.061, 0.114, -1.142), scale=0.301, des="sweatshirt")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 15 objects detected in the scene: Object 0 bbox: [243, 80, 61, 112]
Object 1 bbox: [511, 64, 60, 128]
Object 2 bbox: [2, 69, 55, 120]
Object 3 bbox: [250, 126, 52, 57]
Object 4 bbox: [474, 72, 31, 91]
Object 5 bbox: [519, 123, 39, 65]
Object 6 bbox: [334, 70, 25, 82]
Object 7 bbox: [50, 73, 21, 89]
Object 8 bbox: [114, 71, 24, 82]
Object 9 bbox: [553, 72, 24, 82]
Object 10 bbox: [2, 83, 42, 46]
Object 11 bbox: [2, 125, 26, 55]
Object 12 bbox: [260, 80, 33, 47]
Object 13 bbox: [513, 76, 30, 48]
Object 14 bbox: [484, 113, 18, 48]

[Assistant]
create("mesh/0.glb", loc=(0.083, -1.37, -0.05), rot=(-0.079, -0.07, -1.793), scale=0.222, des="person")
create("mesh/1.glb", loc=(-0.397, -1.332, -0.042), rot=(-0.043, 0.06, -1.674), scale=0.237, des="person")
create("mesh/2.glb", loc=(0.572, -1.418, -0.036), rot=(0.007, 0.024, -1.283), scale=0.226, des="person")
create("mesh/3.glb", loc=(0.08, -1.379, -0.083), rot=(0.003, 0.207, -2.24), scale=0.121, des="sweat_pants")
create("mesh/4.glb", loc=(-0.397, -1.679, -0.021), rot=(0.163, -0.336, 1.605), scale=0.192, des="person")
create("mesh/5.glb", loc=(-0.394, -1.333, -0.089), rot=(-0.134, 0.289, -1.698), scale=0.124, des="sweat_pants")
create("mesh/6.glb", loc=(-0.076, -1.974, -0.011), rot=(0.083, -0.183, 1.927), scale=0.211, des="person")
create("mesh/7.glb", loc=(0.65, -1.865, -0.016), rot=(0.101, -0.129, 1.877), scale=0.225, des="person")
create("mesh/8.glb", loc=(0.528, -2.028, -0.009), rot=(0.017, -0.069, 1.966), scale=0.217, des="person")
create("mesh/9.glb", loc=(-0.607, -1.793, -0.009), rot=(0.002, -0.071, 1.526), scale=0.18, des="person")
create("mesh/10.glb", loc=(0.561, -1.411, 0.009), rot=(0.003, -0.088, -1.347), scale=0.103, des="jacket")
create("mesh/11.glb", loc=(0.584, -1.413, -0.081), rot=(-0.109, -0.031, -1.238), scale=0.11, des="sweat_pants")
create("mesh/12.glb", loc=(0.078, -1.372, 0.006), rot=(0.006, 0.058, -1.902), scale=0.101, des="jacket")
create("mesh/13.glb", loc=(-0.386, -1.338, -0.001), rot=(-0.251, 0.006, -1.511), scale=0.121, des="jacket")
create("mesh/14.glb", loc=(-0.405, -1.686, -0.062), rot=(0.068, -0.996, 1.931), scale=0.124, des="sweat_pants")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [0, 25, 417, 349]
Object 1 bbox: [0, 31, 261, 330]
Object 2 bbox: [173, 0, 325, 192]
Object 3 bbox: [399, 138, 100, 42]

[Assistant]
create("mesh/0.glb", loc=(0.26, -1.83, 0.006), rot=(-0.28, -1.027, -2.311), scale=1.256, des="pan_(for_cooking)")
create("mesh/1.glb", loc=(0.346, -1.839, 0.158), rot=(-0.087, -1.245, -2.302), scale=1.186, des="tinfoil")
create("mesh/2.glb", loc=(-0.403, -2.528, 0.597), rot=(-0.297, -0.892, -2.26), scale=1.65, des="pan_(for_cooking)")
create("mesh/3.glb", loc=(-0.773, -2.089, 0.12), rot=(-0.522, -0.615, -2.486), scale=0.361, des="tinfoil")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 13 objects detected in the scene: Object 0 bbox: [0, 121, 273, 198]
Object 1 bbox: [278, 105, 258, 201]
Object 2 bbox: [1, 320, 633, 103]
Object 3 bbox: [233, 0, 111, 295]
Object 4 bbox: [0, 121, 268, 105]
Object 5 bbox: [346, 105, 176, 64]
Object 6 bbox: [359, 201, 178, 105]
Object 7 bbox: [11, 235, 198, 35]
Object 8 bbox: [316, 149, 111, 59]
Object 9 bbox: [5, 282, 108, 36]
Object 10 bbox: [325, 149, 176, 70]
Object 11 bbox: [151, 220, 102, 36]
Object 12 bbox: [161, 208, 95, 67]

[Assistant]
create("mesh/0.glb", loc=(0.307, -2.063, -0.013), rot=(0.362, -0.253, -2.216), scale=0.531, des="sandwich")
create("mesh/1.glb", loc=(-0.18, -1.868, 0.007), rot=(0.266, 1.093, -2.382), scale=0.468, des="sandwich")
create("mesh/2.glb", loc=(-0.026, -1.874, -0.218), rot=(0.013, -0.047, 2.197), scale=1.327, des="table")
create("mesh/3.glb", loc=(0.078, -3.26, 0.15), rot=(-0.066, 0.489, -3.075), scale=1.336, des="necktie")
create("mesh/4.glb", loc=(0.341, -2.006, 0.062), rot=(0.156, -0.239, -2.882), scale=0.497, des="bread")
create("mesh/5.glb", loc=(-0.204, -1.862, 0.126), rot=(-0.112, -0.159, 0.688), scale=0.38, des="bread")
create("mesh/6.glb", loc=(-0.181, -1.874, -0.054), rot=(-0.571, 0.263, -2.356), scale=0.211, des="bread")
create("mesh/7.glb", loc=(0.268, -1.949, -0.079), rot=(0.037, -0.104, -0.868), scale=0.232, des="lettuce")
create("mesh/8.glb", loc=(-0.097, -1.833, 0.064), rot=(-0.257, 0.243, -1.255), scale=0.196, des="lettuce")
create("mesh/9.glb", loc=(0.432, -1.983, -0.154), rot=(0.103, 0.167, -2.277), scale=0.216, des="bread")
create("mesh/10.glb", loc=(-0.167, -1.881, 0.045), rot=(-0.422, 0.202, -1.937), scale=0.256, des="lettuce")
create("mesh/11.glb", loc=(0.207, -2.169, -0.052), rot=(-0.026, 0.148, -2.62), scale=0.207, des="tomato")
create("mesh/12.glb", loc=(0.193, -2.124, -0.06), rot=(0.685, -0.403, -1.476), scale=0.201, des="onion")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [383, 212, 111, 45]

[Assistant] create("mesh/0.glb", loc=(-0.913, -4.591, -0.272), rot=(-0.039, 0.015, -1.005), scale=1.065, des="bus_(vehicle)")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [24, 230, 166, 69]
Object 1 bbox: [597, 279, 42, 114]
Object 2 bbox: [271, 202, 89, 70]
Object 3 bbox: [315, 247, 61, 110]

[Assistant]
create("mesh/0.glb", loc=(4.088, -7.67, -0.315), rot=(-0.368, -0.457, 3.081), scale=2.789, des="tarp")
create("mesh/1.glb", loc=(-1.128, -1.405, -0.375), rot=(0.158, -0.253, 1.575), scale=0.564, des="trousers")
create("mesh/2.glb", loc=(-0.025, -1.85, 0.001), rot=(-0.117, -0.058, -3.003), scale=0.548, des="shirt")
create("mesh/3.glb", loc=(-0.147, -1.815, -0.306), rot=(-0.213, 0.698, -1.364), scale=0.729, des="trousers")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [432, 292, 207, 134]
Object 1 bbox: [432, 292, 207, 134]
Object 2 bbox: [287, 192, 89, 95]

[Assistant]
create("mesh/0.glb", loc=(-0.845, -1.42, -0.449), rot=(-0.098, 0.174, 1.271), scale=0.793, des="bedspread")
create("mesh/1.glb", loc=(-0.875, -1.433, -0.46), rot=(-0.072, 0.125, 1.274), scale=0.902, des="bed")
create("mesh/2.glb", loc=(-0.051, -1.491, -0.055), rot=(-0.105, -0.089, -1.503), scale=0.256, des="television_set")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [0, 141, 478, 498]
Object 1 bbox: [123, 237, 62, 66]

[Assistant]
create("mesh/0.glb", loc=(0.023, -1.709, 0.145), rot=(0.002, 1.482, 2.716), scale=2.054, des="place_mat")
create("mesh/1.glb", loc=(0.252, -1.828, 0.159), rot=(0.091, 1.487, 2.697), scale=0.249, des="broccoli")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [222, 89, 219, 295]
Object 1 bbox: [441, 347, 109, 27]

[Assistant]
create("mesh/0.glb", loc=(-0.025, -1.804, -0.051), rot=(0.101, -0.121, 1.204), scale=0.573, des="giraffe")
create("mesh/1.glb", loc=(-0.438, -2.215, -0.361), rot=(0.975, -1.197, 0.903), scale=0.306, des="log")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [227, 266, 156, 138]
Object 1 bbox: [295, 509, 35, 130]

[Assistant]
create("mesh/0.glb", loc=(-0.149, -1.509, -0.022), rot=(-0.069, -0.964, 2.652), scale=0.334, des="clock")
create("mesh/1.glb", loc=(-0.143, -1.237, -0.428), rot=(0.114, 1.289, -2.825), scale=0.361, des="pole")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [198, 245, 88, 155]

[Assistant] create("mesh/0.glb", loc=(-0.008, -0.972, -0.006), rot=(-0.298, 0.111, 1.293), scale=0.3, des="fireplug")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [373, 34, 126, 297]

[Assistant] create("mesh/0.glb", loc=(-0.252, -1.067, 0.001), rot=(-0.145, 0.874, -2.849), scale=0.547, des="shovel")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 6 objects detected in the scene: Object 0 bbox: [219, 36, 232, 168]
Object 1 bbox: [26, 26, 195, 211]
Object 2 bbox: [438, 56, 171, 202]
Object 3 bbox: [232, 192, 203, 81]
Object 4 bbox: [224, 283, 219, 28]
Object 5 bbox: [56, 246, 37, 55]

[Assistant]
create("mesh/0.glb", loc=(-0.061, -1.466, 0.197), rot=(0.005, -0.094, -3.132), scale=0.709, des="monitor_(computer_equipment) computer_monitor")
create("mesh/1.glb", loc=(0.529, -1.408, 0.138), rot=(-0.013, -0.011, -2.907), scale=0.571, des="monitor_(computer_equipment) computer_monitor")
create("mesh/2.glb", loc=(-0.649, -1.553, 0.085), rot=(0.004, -0.013, 2.932), scale=0.618, des="monitor_(computer_equipment) computer_monitor")
create("mesh/3.glb", loc=(-0.05, -1.468, -0.138), rot=(-3.121, -0.102, 0.015), scale=0.584, des="speaker_(stero_equipment)")
create("mesh/4.glb", loc=(-0.054, -1.38, -0.282), rot=(0.022, -3.118, 0.136), scale=0.437, des="computer_keyboard")
create("mesh/5.glb", loc=(0.604, -1.206, -0.217), rot=(-0.307, 0.314, -2.574), scale=0.135, des="cellular_telephone")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 11 objects detected in the scene: Object 0 bbox: [277, 97, 140, 115]
Object 1 bbox: [277, 100, 139, 110]
Object 2 bbox: [55, 173, 97, 147]
Object 3 bbox: [55, 173, 97, 147]
Object 4 bbox: [148, 0, 26, 373]
Object 5 bbox: [310, 121, 181, 134]
Object 6 bbox: [310, 202, 183, 53]
Object 7 bbox: [109, 109, 101, 40]
Object 8 bbox: [75, 319, 66, 44]
Object 9 bbox: [29, 30, 10, 271]
Object 10 bbox: [288, 211, 90, 22]

[Assistant]
create("mesh/0.glb", loc=(-0.272, -3.423, 0.095), rot=(0.002, -0.113, 2.986), scale=0.41, des="signboard")
create("mesh/1.glb", loc=(-0.267, -3.411, 0.096), rot=(-0.011, -0.087, 2.98), scale=0.406, des="street_sign")
create("mesh/2.glb", loc=(0.131, -1.138, -0.081), rot=(0.57, -3.066, -0.194), scale=0.135, des="stop_sign")
create("mesh/3.glb", loc=(0.131, -1.14, -0.081), rot=(0.568, -3.066, -0.191), scale=0.134, des="street_sign")
create("mesh/4.glb", loc=(0.159, -2.315, -0.024), rot=(0.247, 3.121, 0.072), scale=0.892, des="pole")
create("mesh/5.glb", loc=(-0.457, -3.504, -0.032), rot=(-0.02, -0.023, 0.884), scale=0.649, des="signboard")
create("mesh/6.glb", loc=(-0.474, -3.541, -0.148), rot=(1.182, -2.869, 0.214), scale=0.629, des="street_sign")
create("mesh/7.glb", loc=(0.066, -1.2, 0.034), rot=(2.192, -2.223, -0.034), scale=0.115, des="street_sign")
create("mesh/8.glb", loc=(0.124, -1.121, -0.142), rot=(0.008, 0.126, -2.959), scale=0.065, des="street_sign")
create("mesh/9.glb", loc=(0.611, -3.598, 0.077), rot=(0.008, -3.121, -0.178), scale=0.864, des="pole")
create("mesh/10.glb", loc=(-0.234, -3.407, -0.113), rot=(-0.287, -3.113, 0.01), scale=0.23, des="street_sign")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [424, 4, 61, 65]
Object 1 bbox: [74, 23, 39, 44]
Object 2 bbox: [280, 128, 40, 44]

[Assistant]
create("mesh/0.glb", loc=(-0.156, -0.956, 0.14), rot=(-0.368, 0.015, 0.53), scale=0.079, des="mask")
create("mesh/1.glb", loc=(0.334, -1.269, 0.176), rot=(-0.697, -0.167, 0.323), scale=0.082, des="helmet")
create("mesh/2.glb", loc=(0.025, -1.139, 0.017), rot=(-0.374, -0.062, 0.432), scale=0.072, des="helmet")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 9 objects detected in the scene: Object 0 bbox: [0, 37, 475, 442]
Object 1 bbox: [305, 49, 334, 325]
Object 2 bbox: [0, 59, 443, 239]
Object 3 bbox: [313, 107, 326, 91]
Object 4 bbox: [229, 0, 105, 157]
Object 5 bbox: [157, 156, 271, 82]
Object 6 bbox: [200, 159, 181, 48]
Object 7 bbox: [499, 108, 140, 44]
Object 8 bbox: [472, 130, 151, 34]

[Assistant]
create("mesh/0.glb", loc=(0.387, -1.744, 0.08), rot=(-0.106, -0.587, -2.383), scale=1.864, des="bed")
create("mesh/1.glb", loc=(-0.536, -2.397, 0.278), rot=(-0.178, -0.588, -2.433), scale=1.638, des="bed")
create("mesh/2.glb", loc=(0.258, -1.604, 0.28), rot=(-0.15, -0.557, -2.403), scale=1.378, des="mattress")
create("mesh/3.glb", loc=(-0.557, -2.311, 0.364), rot=(-0.119, -0.439, -2.433), scale=1.277, des="mattress")
create("mesh/4.glb", loc=(0.126, -2.371, 0.604), rot=(-0.043, -0.518, -2.792), scale=0.744, des="dress")
create("mesh/5.glb", loc=(0.061, -1.334, 0.119), rot=(1.261, 2.564, -0.47), scale=0.463, des="blanket")
create("mesh/6.glb", loc=(0.063, -1.333, 0.144), rot=(-0.061, -0.458, -2.591), scale=0.334, des="blanket")
create("mesh/7.glb", loc=(-1.031, -2.551, 0.445), rot=(-0.118, -0.597, -2.47), scale=0.447, des="bed")
create("mesh/8.glb", loc=(-0.789, -1.963, 0.303), rot=(-0.126, -0.417, -2.404), scale=0.373, des="blanket")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [201, 121, 115, 186]

[Assistant] create("mesh/0.glb", loc=(-0.041, -3.634, 0.24), rot=(0.072, 0.112, -1.876), scale=0.404, des="clock_tower")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [21, 192, 272, 395]
Object 1 bbox: [87, 295, 189, 149]
Object 2 bbox: [22, 271, 96, 152]
Object 3 bbox: [351, 170, 50, 237]

[Assistant]
create("mesh/0.glb", loc=(0.151, -1.789, -0.201), rot=(-0.027, -0.111, -2.626), scale=1.208, des="bench")
create("mesh/1.glb", loc=(0.066, -1.906, -0.093), rot=(0.049, -0.063, -2.52), scale=0.466, des="dress")
create("mesh/2.glb", loc=(0.355, -1.845, -0.086), rot=(-0.091, -0.347, -2.502), scale=0.347, des="teddy_bear")
create("mesh/3.glb", loc=(-0.434, -1.88, 0.08), rot=(0.003, 0.021, 3.124), scale=0.632, des="dress")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 35 objects detected in the scene: Object 0 bbox: [0, 104, 421, 242]
Object 1 bbox: [357, 150, 281, 327]
Object 2 bbox: [0, 0, 357, 135]
Object 3 bbox: [96, 267, 136, 139]
Object 4 bbox: [504, 151, 134, 157]
Object 5 bbox: [472, 333, 167, 146]
Object 6 bbox: [231, 104, 142, 99]
Object 7 bbox: [488, 0, 84, 184]
Object 8 bbox: [112, 116, 135, 96]
Object 9 bbox: [98, 267, 127, 80]
Object 10 bbox: [145, 203, 147, 72]
Object 11 bbox: [257, 187, 164, 72]
Object 12 bbox: [10, 235, 155, 72]
Object 13 bbox: [444, 238, 149, 91]
Object 14 bbox: [487, 238, 104, 89]
Object 15 bbox: [38, 143, 117, 64]
Object 16 bbox: [8, 367, 102, 72]
Object 17 bbox: [516, 297, 123, 46]
Object 18 bbox: [391, 270, 124, 94]
Object 19 bbox: [39, 144, 116, 64]
Object 20 bbox: [515, 295, 107, 52]
Object 21 bbox: [0, 125, 113, 67]
Object 22 bbox: [373, 20, 84, 58]
Object 23 bbox: [559, 337, 80, 76]
Object 24 bbox: [560, 341, 79, 75]
Object 25 bbox: [1, 314, 46, 77]
Object 26 bbox: [41, 181, 111, 51]
Object 27 bbox: [40, 182, 111, 51]
Object 28 bbox: [0, 394, 108, 65]
Object 29 bbox: [78, 206, 78, 46]
Object 30 bbox: [78, 206, 78, 44]
Object 31 bbox: [0, 243, 81, 29]
Object 32 bbox: [0, 244, 82, 29]
Object 33 bbox: [0, 184, 67, 34]
Object 34 bbox: [0, 184, 67, 34]

[Assistant]
create("mesh/0.glb", loc=(0.332, -1.911, 0.089), rot=(-0.11, -0.57, -2.702), scale=1.854, des="sofa")
create("mesh/1.glb", loc=(-0.566, -1.536, -0.156), rot=(-0.335, 0.173, 1.688), scale=1.123, des="sofa")
create("mesh/2.glb", loc=(0.428, -2.051, 0.612), rot=(0.076, -0.472, -2.745), scale=1.277, des="curtain")
create("mesh/3.glb", loc=(0.415, -1.554, -0.233), rot=(-0.123, -0.699, -2.602), scale=0.598, des="ottoman")
create("mesh/4.glb", loc=(-0.68, -1.517, 0.044), rot=(-0.344, 0.596, 1.556), scale=0.617, des="cushion")
create("mesh/5.glb", loc=(-0.495, -1.167, -0.321), rot=(-0.201, 0.289, 1.808), scale=0.418, des="cushion")
create("mesh/6.glb", loc=(0.062, -2.166, 0.313), rot=(-0.096, -1.427, -2.588), scale=0.6, des="cushion")
create("mesh/7.glb", loc=(-0.686, -1.901, 0.41), rot=(-0.476, -0.318, -1.075), scale=0.82, des="curtain")
create("mesh/8.glb", loc=(0.467, -2.002, 0.244), rot=(0.256, -2.076, -1.845), scale=0.418, des="cushion")
create("mesh/9.glb", loc=(0.409, -1.535, -0.174), rot=(-0.079, -0.611, -2.599), scale=0.282, des="cushion")
create("mesh/10.glb", loc=(0.33, -1.878, 0.015), rot=(-0.319, -0.242, -1.203), scale=0.425, des="cushion")
create("mesh/11.glb", loc=(-0.046, -1.991, 0.069), rot=(-0.125, -0.563, -2.671), scale=0.431, des="cushion")
create("mesh/12.glb", loc=(0.646, -1.656, -0.091), rot=(-0.164, -0.421, -2.548), scale=0.41, des="cushion")
create("mesh/13.glb", loc=(-0.508, -1.431, -0.107), rot=(-0.181, 0.873, 1.779), scale=0.258, des="pillow")
create("mesh/14.glb", loc=(-0.522, -1.413, -0.106), rot=(-0.204, 1.17, 1.793), scale=0.248, des="cushion")
create("mesh/15.glb", loc=(0.672, -1.781, 0.207), rot=(0.093, -1.078, -2.064), scale=0.292, des="cushion")
create("mesh/16.glb", loc=(0.567, -1.274, -0.364), rot=(0.213, 3.002, -0.562), scale=0.185, des="book")
create("mesh/17.glb", loc=(-0.581, -1.256, -0.169), rot=(-0.135, 0.226, 1.314), scale=0.239, des="cushion")
create("mesh/18.glb", loc=(-0.438, -1.471, -0.219), rot=(2.51, -1.355, 0.369), scale=0.441, des="cushion")
create("mesh/19.glb", loc=(0.67, -1.779, 0.208), rot=(0.112, -1.094, -2.047), scale=0.286, des="pillow")
create("mesh/20.glb", loc=(-0.558, -1.256, -0.172), rot=(-0.134, 0.138, 1.238), scale=0.215, des="pillow")
create("mesh/21.glb", loc=(0.801, -1.822, 0.233), rot=(0.344, -1.716, -1.85), scale=0.349, des="cushion")
create("mesh/22.glb", loc=(-0.369, -2.234, 0.725), rot=(-0.292, -0.212, -1.156), scale=0.346, des="lampshade")
create("mesh/23.glb", loc=(-0.582, -1.123, -0.248), rot=(-0.123, 0.542, 2.038), scale=0.189, des="pillow")
create("mesh/24.glb", loc=(-0.599, -1.127, -0.262), rot=(-0.147, -0.366, -2.703), scale=0.196, des="cushion")
create("mesh/25.glb", loc=(0.683, -1.28, -0.264), rot=(-1.026, -1.494, 0.45), scale=0.184, des="cushion")
create("mesh/26.glb", loc=(0.678, -1.773, 0.105), rot=(-0.431, 0.69, 2.282), scale=0.284, des="cushion")
create("mesh/27.glb", loc=(0.69, -1.789, 0.107), rot=(-0.163, 0.539, 2.334), scale=0.304, des="pillow")
create("mesh/28.glb", loc=(0.574, -1.278, -0.398), rot=(-0.256, -0.055, -0.147), scale=0.202, des="book")
create("mesh/29.glb", loc=(0.608, -1.761, 0.044), rot=(-0.511, 0.029, -1.001), scale=0.219, des="pillow")
create("mesh/30.glb", loc=(0.609, -1.76, 0.042), rot=(-0.524, 0.038, -1.01), scale=0.215, des="cushion")
create("mesh/31.glb", loc=(0.772, -1.593, -0.048), rot=(-0.145, -0.08, -1.035), scale=0.209, des="pillow")
create("mesh/32.glb", loc=(0.771, -1.598, -0.048), rot=(-0.136, -0.09, -0.987), scale=0.217, des="cushion")
create("mesh/33.glb", loc=(0.834, -1.651, 0.101), rot=(0.339, -0.528, -2.085), scale=0.205, des="pillow")
create("mesh/34.glb", loc=(0.838, -1.654, 0.101), rot=(0.282, -0.468, -2.148), scale=0.21, des="cushion")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [194, 401, 214, 192]
Object 1 bbox: [71, 129, 250, 81]

[Assistant]
create("mesh/0.glb", loc=(-0.098, -1.498, -0.284), rot=(-0.867, -0.269, -0.267), scale=0.299, des="pizza")
create("mesh/1.glb", loc=(0.092, -1.262, 0.343), rot=(0.12, -0.506, -2.86), scale=0.53, des="spectacles")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [285, 225, 307, 80]

[Assistant] create("mesh/0.glb", loc=(-1.299, -4.503, -0.428), rot=(-0.007, -0.026, 2.645), scale=3.943, des="train_(railroad_vehicle)")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [29, 216, 75, 67]
Object 1 bbox: [0, 203, 58, 84]
Object 2 bbox: [78, 306, 83, 34]

[Assistant]
create("mesh/0.glb", loc=(0.536, -1.42, -0.024), rot=(-0.09, -0.992, -0.546), scale=0.162, des="cushion")
create("mesh/1.glb", loc=(0.599, -1.43, -0.025), rot=(2.011, -1.901, -0.027), scale=0.201, des="cushion")
create("mesh/2.glb", loc=(0.366, -1.255, -0.166), rot=(-0.157, 0.114, 1.46), scale=0.15, des="cushion")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [73, 151, 205, 73]
Object 1 bbox: [74, 151, 203, 73]
Object 2 bbox: [428, 180, 139, 66]
Object 3 bbox: [428, 179, 137, 66]

[Assistant]
create("mesh/0.glb", loc=(0.614, -3.18, 0.257), rot=(-0.012, -0.014, 2.218), scale=0.989, des="fire_engine")
create("mesh/1.glb", loc=(0.609, -3.179, 0.255), rot=(-0.022, -0.011, 2.221), scale=0.964, des="car_(automobile)")
create("mesh/2.glb", loc=(-0.793, -3.141, 0.128), rot=(-0.049, -0.08, -1.175), scale=0.814, des="fire_engine")
create("mesh/3.glb", loc=(-0.792, -3.143, 0.125), rot=(-0.051, -0.09, -1.186), scale=0.798, des="car_(automobile)")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [93, 0, 28, 214]
Object 1 bbox: [99, 310, 42, 64]

[Assistant]
create("mesh/0.glb", loc=(3.867, -12.419, 2.415), rot=(-0.035, -0.075, -2.135), scale=4.468, des="antenna")
create("mesh/1.glb", loc=(0.356, -1.216, -0.176), rot=(-0.02, 0.091, -3.019), scale=0.112, des="fireplug")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [1, 101, 636, 176]
Object 1 bbox: [268, 153, 104, 76]
Object 2 bbox: [0, 116, 104, 35]
Object 3 bbox: [525, 119, 114, 43]

[Assistant]
create("mesh/0.glb", loc=(-0.065, -0.91, 0.01), rot=(0.037, 0.015, -3.102), scale=0.962, des="bench")
create("mesh/1.glb", loc=(-0.025, -0.846, -0.027), rot=(0.007, 0.488, -0.401), scale=0.216, des="short_pants")
create("mesh/2.glb", loc=(1.648, -4.281, 0.183), rot=(-0.034, 0.027, 1.484), scale=0.727, des="bench")
create("mesh/3.glb", loc=(-1.228, -3.131, -0.022), rot=(-0.116, -0.007, 0.275), scale=0.657, des="bench")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [469, 76, 170, 100]
Object 1 bbox: [66, 40, 49, 107]
Object 2 bbox: [44, 32, 20, 151]

[Assistant]
create("mesh/0.glb", loc=(-0.897, -4.061, 0.29), rot=(0.004, -0.043, 1.578), scale=0.763, des="minivan")
create("mesh/1.glb", loc=(0.569, -2.979, 0.29), rot=(-0.002, -0.019, 0.496), scale=0.276, des="signboard")
create("mesh/2.glb", loc=(0.673, -2.995, 0.266), rot=(-0.033, -0.001, -1.472), scale=0.366, des="signboard")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [293, 196, 146, 184]
Object 1 bbox: [469, 250, 77, 80]

[Assistant]
create("mesh/0.glb", loc=(-0.091, -1.604, -0.143), rot=(0.189, -0.153, 1.178), scale=0.347, des="giraffe")
create("mesh/1.glb", loc=(-0.595, -2.694, -0.225), rot=(0.114, -0.252, 1.441), scale=0.307, des="giraffe")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [19, 276, 81, 34]

[Assistant] create("mesh/0.glb", loc=(0.56, -1.217, -0.323), rot=(0.117, -0.141, 1.353), scale=0.211, des="deck_chair")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 7 objects detected in the scene: Object 0 bbox: [58, 220, 188, 279]
Object 1 bbox: [188, 162, 146, 238]
Object 2 bbox: [189, 162, 145, 238]
Object 3 bbox: [43, 155, 274, 297]
Object 4 bbox: [89, 309, 93, 61]
Object 5 bbox: [105, 309, 61, 39]
Object 6 bbox: [45, 223, 38, 42]

[Assistant]
create("mesh/0.glb", loc=(0.06, -1.447, -0.339), rot=(-0.139, 0.218, 2.785), scale=1.289, des="dress")
create("mesh/1.glb", loc=(-0.233, -1.201, -0.079), rot=(-1.509, -0.641, -0.097), scale=0.605, des="plastic_bag")
create("mesh/2.glb", loc=(-0.248, -1.225, -0.078), rot=(-0.742, -0.011, 2.858), scale=0.63, des="bread")
create("mesh/3.glb", loc=(0.044, -1.148, -0.228), rot=(-0.323, -1.991, -2.244), scale=0.821, des="shawl")
create("mesh/4.glb", loc=(0.056, -1.062, -0.179), rot=(0.086, 0.611, 2.691), scale=0.186, des="bread")
create("mesh/5.glb", loc=(0.059, -1.062, -0.163), rot=(-0.119, 0.468, 1.766), scale=0.138, des="peanut_butter")
create("mesh/6.glb", loc=(0.277, -1.366, 0.011), rot=(0.3, -1.875, -2.083), scale=0.119, des="peanut_butter")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [181, 173, 322, 291]
Object 1 bbox: [12, 163, 249, 248]

[Assistant]
create("mesh/0.glb", loc=(-0.133, -1.476, -0.165), rot=(0.036, 0.116, 2.451), scale=1.185, des="cow")
create("mesh/1.glb", loc=(0.411, -1.854, -0.104), rot=(-0.002, 0.089, 2.891), scale=1.328, des="cow")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [16, 92, 171, 229]
Object 1 bbox: [25, 249, 144, 155]
Object 2 bbox: [46, 393, 102, 161]
Object 3 bbox: [74, 111, 26, 149]

[Assistant]
create("mesh/0.glb", loc=(-0.002, -1.597, 0.267), rot=(0.002, 0.378, 3.107), scale=0.572, des="jacket")
create("mesh/1.glb", loc=(0.007, -1.633, -0.009), rot=(0.005, 0.244, 3.053), scale=0.432, des="skirt")
create("mesh/2.glb", loc=(-0.016, -1.745, -0.412), rot=(0.029, 0.192, 3.133), scale=0.895, des="tights_(clothing)")
create("mesh/3.glb", loc=(0.022, -1.509, 0.319), rot=(0.114, 3.126, -0.207), scale=0.381, des="necktie")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [376, 142, 85, 172]
Object 1 bbox: [72, 167, 116, 77]
Object 2 bbox: [226, 162, 70, 111]

[Assistant]
create("mesh/0.glb", loc=(-0.286, -1.284, -0.064), rot=(0.018, -0.173, 2.724), scale=0.56, des="elephant")
create("mesh/1.glb", loc=(0.83, -2.504, -0.021), rot=(0.079, -0.091, 2.062), scale=0.595, des="elephant")
create("mesh/2.glb", loc=(0.196, -1.991, -0.007), rot=(-0.037, 0.319, -3.049), scale=0.569, des="elephant")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [164, 55, 474, 424]

[Assistant] create("mesh/0.glb", loc=(-0.31, -1.553, -0.101), rot=(-0.229, 1.35, 1.545), scale=2.481, des="blanket")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 8 objects detected in the scene: Object 0 bbox: [174, 189, 465, 190]
Object 1 bbox: [208, 107, 412, 148]
Object 2 bbox: [0, 60, 304, 163]
Object 3 bbox: [10, 210, 106, 78]
Object 4 bbox: [428, 331, 176, 148]
Object 5 bbox: [388, 335, 80, 144]
Object 6 bbox: [323, 353, 67, 126]
Object 7 bbox: [445, 77, 64, 40]

[Assistant]
create("mesh/0.glb", loc=(-0.187, -1.552, -0.07), rot=(-0.848, 0.138, -0.173), scale=1.287, des="omelet")
create("mesh/1.glb", loc=(-0.292, -1.839, 0.179), rot=(0.27, 0.871, 2.957), scale=1.261, des="potato")
create("mesh/2.glb", loc=(0.332, -1.945, 0.331), rot=(-0.595, 0.683, 1.693), scale=0.95, des="napkin")
create("mesh/3.glb", loc=(0.7, -1.81, -0.04), rot=(-0.601, -0.728, -1.771), scale=0.309, des="condiment")
create("mesh/4.glb", loc=(-0.358, -1.182, -0.303), rot=(-0.456, -0.345, -3.024), scale=0.731, des="knife")
create("mesh/5.glb", loc=(-0.217, -1.179, -0.306), rot=(0.253, 0.586, 2.88), scale=0.537, des="fork")
create("mesh/6.glb", loc=(-0.081, -1.184, -0.325), rot=(0.12, 0.498, 2.977), scale=0.559, des="fork")
create("mesh/7.glb", loc=(-0.509, -2.002, 0.417), rot=(-0.857, 0.177, -0.439), scale=0.198, des="condiment")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 8 objects detected in the scene: Object 0 bbox: [0, 8, 109, 526]
Object 1 bbox: [34, 135, 99, 158]
Object 2 bbox: [87, 160, 107, 160]
Object 3 bbox: [187, 250, 87, 86]
Object 4 bbox: [171, 0, 123, 65]
Object 5 bbox: [141, 118, 140, 46]
Object 6 bbox: [225, 219, 67, 85]
Object 7 bbox: [75, 150, 73, 154]

[Assistant]
create("mesh/0.glb", loc=(0.684, -2.31, -0.378), rot=(0.843, 2.818, -0.536), scale=2.021, des="refrigerator")
create("mesh/1.glb", loc=(0.247, -1.037, 0.176), rot=(-0.832, -1.177, -1.246), scale=0.316, des="banana")
create("mesh/2.glb", loc=(0.153, -1.002, 0.13), rot=(0.604, 2.077, -0.86), scale=0.297, des="banana")
create("mesh/3.glb", loc=(0.007, -0.923, 0.033), rot=(-0.117, -2.184, -2.093), scale=0.153, des="umbrella")
create("mesh/4.glb", loc=(-0.016, -1.788, 0.794), rot=(-0.022, 0.313, 2.862), scale=0.374, des="calendar")
create("mesh/5.glb", loc=(0.035, -1.053, 0.285), rot=(-0.18, 0.483, 2.968), scale=0.226, des="spectacles")
create("mesh/6.glb", loc=(-0.038, -0.996, 0.112), rot=(-0.141, -1.48, -1.794), scale=0.125, des="bow_(decorative_ribbons)")
create("mesh/7.glb", loc=(0.179, -1.06, 0.145), rot=(-1.501, -0.259, 0.511), scale=0.267, des="banana")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [283, 324, 42, 50]

[Assistant] create("mesh/0.glb", loc=(-0.092, -0.669, -0.279), rot=(1.776, 1.569, -0.962), scale=0.071, des="necktie")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [297, 66, 202, 220]
Object 1 bbox: [167, 245, 83, 86]
Object 2 bbox: [136, 155, 33, 105]
Object 3 bbox: [7, 195, 79, 30]

[Assistant]
create("mesh/0.glb", loc=(-0.331, -2.74, -0.005), rot=(0.031, -0.035, 2.474), scale=0.673, des="tarp")
create("mesh/1.glb", loc=(0.037, -1.222, -0.105), rot=(0.175, -0.562, 2.481), scale=0.1, des="short_pants")
create("mesh/2.glb", loc=(0.088, -1.246, -0.032), rot=(-0.216, -0.252, 0.786), scale=0.137, des="tennis_racket")
create("mesh/3.glb", loc=(0.635, -3.452, -0.082), rot=(0.049, 0.113, -2.141), scale=0.198, des="bench")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [252, 264, 98, 161]
Object 1 bbox: [262, 143, 92, 130]

[Assistant]
create("mesh/0.glb", loc=(0.037, -1.268, -0.35), rot=(0.092, 0.077, -3.107), scale=0.484, des="trousers")
create("mesh/1.glb", loc=(0.019, -1.287, 0.011), rot=(0.094, 0.029, -3.075), scale=0.322, des="vest")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [3, 29, 172, 255]
Object 1 bbox: [314, 158, 184, 193]
Object 2 bbox: [163, 57, 187, 127]
Object 3 bbox: [144, 266, 149, 170]

[Assistant]
create("mesh/0.glb", loc=(0.326, -2.11, 0.098), rot=(-0.926, -0.872, -1.45), scale=0.904, des="toothbrush")
create("mesh/1.glb", loc=(-0.338, -1.942, -0.018), rot=(-0.086, -2.217, -2.192), scale=0.631, des="toothbrush")
create("mesh/2.glb", loc=(-0.032, -1.943, 0.241), rot=(-0.54, 1.331, 0.376), scale=0.465, des="toothbrush")
create("mesh/3.glb", loc=(0.061, -1.848, -0.193), rot=(0.348, -0.927, -2.932), scale=0.315, des="toothbrush")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [211, 125, 180, 202]
Object 1 bbox: [76, 245, 73, 90]

[Assistant]
create("mesh/0.glb", loc=(0.019, -1.635, -0.014), rot=(0.239, -0.251, 2.88), scale=0.315, des="polo_shirt")
create("mesh/1.glb", loc=(0.262, -1.667, -0.115), rot=(-0.585, -0.938, -0.744), scale=0.216, des="racket")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [75, 31, 483, 384]
Object 1 bbox: [255, 59, 147, 82]
Object 2 bbox: [128, 62, 123, 87]

[Assistant]
create("mesh/0.glb", loc=(-0.223, -1.855, -0.025), rot=(-0.021, -0.013, -1.965), scale=1.97, des="bus_(vehicle)")
create("mesh/1.glb", loc=(-0.016, -1.12, 0.199), rot=(-0.045, -0.173, 2.979), scale=0.224, des="curtain")
create("mesh/2.glb", loc=(0.187, -1.166, 0.203), rot=(-0.007, -0.325, 2.773), scale=0.224, des="curtain")


[System] You are an expert in 3D scene reconstruction using the Blender Python API. Provide only the executable Python code block without any markdown formatting or explanation.

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 10 objects detected in the scene: Object 0 bbox: [17, 26, 338, 345]
Object 1 bbox: [342, 116, 227, 194]
Object 2 bbox: [86, 398, 160, 173]
Object 3 bbox: [33, 300, 449, 270]
Object 4 bbox: [402, 451, 86, 120]
Object 5 bbox: [54, 333, 134, 105]
Object 6 bbox: [339, 233, 120, 128]
Object 7 bbox: [407, 340, 57, 130]
Object 8 bbox: [464, 169, 91, 52]
Object 9 bbox: [55, 422, 61, 149]

[Assistant]
create("mesh/0.glb", loc=(0.144, -2.271, 0.022), rot=(-0.134, 0.179, 0.508), scale=0.712, des="bicycle")
create("mesh/1.glb", loc=(-0.118, -1.538, 0.059), rot=(-0.118, -0.466, -2.413), scale=0.221, des="dog")
create("mesh/2.glb", loc=(0.095, -1.409, -0.181), rot=(-0.193, 0.396, -0.076), scale=0.134, des="toy")
create("mesh/3.glb", loc=(0.028, -1.451, -0.168), rot=(1.253, -1.143, 0.994), scale=0.262, des="basket")
create("mesh/4.glb", loc=(-0.104, -1.451, -0.192), rot=(-0.571, 1.977, -2.016), scale=0.088, des="toy")
create("mesh/5.glb", loc=(0.13, -1.493, -0.103), rot=(0.026, 0.244, 0.464), scale=0.146, des="sweater")
create("mesh/6.glb", loc=(-0.088, -1.561, -0.044), rot=(-0.167, 0.195, 0.755), scale=0.109, des="sweater")
create("mesh/7.glb", loc=(-0.097, -1.438, -0.116), rot=(0.712, 1.514, -0.787), scale=0.103, des="toy")
create("mesh/8.glb", loc=(-0.153, -1.517, 0.052), rot=(-0.362, 0.079, -2.37), scale=0.079, des="goggles")
create("mesh/9.glb", loc=(0.168, -1.413, -0.16), rot=(-1.358, -0.541, 0.98), scale=0.137, des="toy")