[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: [75, 155, 202, 174]
Object 1 bbox: [292, 110, 117, 104]
Object 2 bbox: [418, 112, 124, 70]
Object 3 bbox: [277, 337, 36, 68]

[Assistant]
create("mesh/0.glb", loc=(0.14, -1.345, -0.033), rot=(-0.993, -0.129, 0.068), scale=0.208, des="jersey")
create("mesh/1.glb", loc=(-0.064, -2.235, 0.044), rot=(-0.594, 0.344, -0.462), scale=0.296, des="jersey")
create("mesh/2.glb", loc=(-0.255, -2.082, 0.094), rot=(-0.716, 0.244, -0.412), scale=0.256, des="jersey")
create("mesh/3.glb", loc=(0.022, -1.4, -0.169), rot=(-0.344, 0.727, 2.992), scale=0.1, des="glove")


[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: [89, 48, 336, 401]
Object 1 bbox: [7, 415, 418, 163]
Object 2 bbox: [135, 251, 290, 192]

[Assistant]
create("mesh/0.glb", loc=(-0.165, -2.639, 0.07), rot=(0.004, -0.025, 1.321), scale=1.123, des="elephant")
create("mesh/1.glb", loc=(-0.044, -1.533, -0.304), rot=(0.49, -0.513, 1.489), scale=0.719, des="elephant")
create("mesh/2.glb", loc=(-0.178, -2.3, -0.093), rot=(-0.024, -0.009, 1.247), scale=0.722, 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 2 objects detected in the scene: Object 0 bbox: [78, 34, 276, 393]
Object 1 bbox: [429, 0, 210, 216]

[Assistant]
create("mesh/0.glb", loc=(0.22, -0.763, -0.012), rot=(-0.288, 0.044, -1.382), scale=0.949, des="backpack")
create("mesh/1.glb", loc=(-2.883, -2.897, 1.047), rot=(-0.145, 0.007, 1.199), scale=6.023, 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 6 objects detected in the scene: Object 0 bbox: [194, 375, 74, 171]
Object 1 bbox: [330, 356, 65, 165]
Object 2 bbox: [102, 359, 66, 154]
Object 3 bbox: [198, 312, 82, 99]
Object 4 bbox: [373, 266, 53, 142]
Object 5 bbox: [373, 267, 53, 141]

[Assistant]
create("mesh/0.glb", loc=(0.019, -1.424, -0.172), rot=(-0.278, -0.01, -0.051), scale=0.25, des="jean")
create("mesh/1.glb", loc=(-0.162, -1.488, -0.16), rot=(-0.102, 0.024, 0.561), scale=0.245, des="jean")
create("mesh/2.glb", loc=(0.147, -1.491, -0.153), rot=(0.006, 0.302, -2.653), scale=0.258, des="jean")
create("mesh/3.glb", loc=(0.007, -1.392, -0.046), rot=(0.222, -0.494, -2.123), scale=0.119, des="backpack")
create("mesh/4.glb", loc=(-0.202, -1.471, -0.018), rot=(-0.343, -0.383, -1.808), scale=0.196, des="backpack")
create("mesh/5.glb", loc=(-0.201, -1.467, -0.033), rot=(0.129, -0.355, -1.862), scale=0.156, des="handbag")


[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: [207, 395, 139, 220]
Object 1 bbox: [334, 37, 59, 602]
Object 2 bbox: [15, 194, 24, 345]

[Assistant]
create("mesh/0.glb", loc=(-0.097, -0.765, -0.288), rot=(0.019, -0.055, 1.419), scale=0.342, des="vase")
create("mesh/1.glb", loc=(-0.236, -0.691, -0.06), rot=(0.42, 3.09, 0.001), scale=1.267, des="pole")
create("mesh/2.glb", loc=(0.358, -0.917, -0.105), rot=(-0.749, -3.044, -0.048), scale=0.767, 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 2 objects detected in the scene: Object 0 bbox: [180, 82, 224, 265]
Object 1 bbox: [165, 289, 50, 63]

[Assistant]
create("mesh/0.glb", loc=(0.009, -1.164, -0.007), rot=(-0.428, -0.412, -2.463), scale=0.482, des="coat")
create("mesh/1.glb", loc=(0.193, -1.087, -0.159), rot=(0.091, -0.012, -2.181), scale=0.087, des="bucket")


[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: [151, 53, 487, 425]
Object 1 bbox: [155, 156, 247, 273]
Object 2 bbox: [389, 263, 177, 124]
Object 3 bbox: [386, 229, 126, 96]
Object 4 bbox: [374, 255, 165, 110]
Object 5 bbox: [381, 244, 144, 104]
Object 6 bbox: [0, 0, 154, 116]
Object 7 bbox: [86, 0, 119, 87]

[Assistant]
create("mesh/0.glb", loc=(-0.199, -1.875, 0.053), rot=(-0.768, -0.895, -1.649), scale=1.597, des="plate")
create("mesh/1.glb", loc=(0.144, -1.652, -0.048), rot=(-0.438, -1.376, -2.141), scale=0.794, des="waffle")
create("mesh/2.glb", loc=(-0.369, -1.613, -0.197), rot=(-0.822, -0.06, -0.803), scale=0.466, des="pineapple")
create("mesh/3.glb", loc=(-0.327, -1.631, -0.082), rot=(-0.619, 0.311, -0.344), scale=0.376, des="pineapple")
create("mesh/4.glb", loc=(-0.323, -1.65, -0.166), rot=(-0.895, -0.135, -1.054), scale=0.456, des="pineapple")
create("mesh/5.glb", loc=(-0.333, -1.613, -0.16), rot=(-0.711, 0.437, 0.195), scale=0.454, des="pineapple")
create("mesh/6.glb", loc=(0.687, -2.228, 0.527), rot=(-0.75, 1.459, 1.972), scale=0.519, des="spoon")
create("mesh/7.glb", loc=(0.603, -2.344, 0.635), rot=(-1.076, -0.662, -0.385), scale=0.616, des="fork")


[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: [455, 323, 184, 127]
Object 1 bbox: [0, 273, 32, 204]

[Assistant]
create("mesh/0.glb", loc=(-0.388, -1.004, -0.239), rot=(-0.32, -0.02, -0.66), scale=0.332, des="trailer_truck")
create("mesh/1.glb", loc=(0.345, -0.668, -0.142), rot=(-0.088, -0.123, -2.879), scale=0.292, 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 2 objects detected in the scene: Object 0 bbox: [173, 7, 285, 352]
Object 1 bbox: [405, 220, 42, 139]

[Assistant]
create("mesh/0.glb", loc=(0.002, -1.03, -0.001), rot=(0.0, -0.091, -3.09), scale=0.346, des="parking_meter")
create("mesh/1.glb", loc=(-0.123, -1.172, -0.108), rot=(-0.226, -0.042, -0.237), scale=0.174, des="taillight")


[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: [172, 11, 163, 485]
Object 1 bbox: [206, 60, 108, 106]
Object 2 bbox: [172, 15, 163, 47]
Object 3 bbox: [257, 167, 23, 329]
Object 4 bbox: [300, 157, 74, 29]
Object 5 bbox: [300, 158, 74, 29]
Object 6 bbox: [233, 155, 68, 37]
Object 7 bbox: [133, 211, 40, 38]
Object 8 bbox: [133, 211, 39, 38]

[Assistant]
create("mesh/0.glb", loc=(-0.084, -0.487, -0.047), rot=(-0.014, 0.118, -3.019), scale=0.582, des="signboard")
create("mesh/1.glb", loc=(-0.071, -0.5, 0.115), rot=(0.152, -3.122, 0.051), scale=0.108, des="street_sign")
create("mesh/2.glb", loc=(-0.103, -0.793, 0.297), rot=(-0.085, -0.134, 2.735), scale=0.313, des="street_sign")
create("mesh/3.glb", loc=(-0.075, -0.491, -0.07), rot=(-2.164, -2.155, -0.043), scale=0.316, des="pole")
create("mesh/4.glb", loc=(-0.879, -3.27, 0.42), rot=(-3.105, -0.393, 0.001), scale=0.441, des="signboard")
create("mesh/5.glb", loc=(-0.883, -3.28, 0.433), rot=(-0.076, -0.03, 0.192), scale=0.449, des="street_sign")
create("mesh/6.glb", loc=(-0.467, -3.304, 0.381), rot=(-0.02, -0.026, -2.532), scale=0.419, des="signboard")
create("mesh/7.glb", loc=(0.279, -5.063, 0.161), rot=(-0.111, -0.016, 0.097), scale=0.807, des="pickup_truck")
create("mesh/8.glb", loc=(0.282, -5.052, 0.164), rot=(-0.115, -0.012, 0.098), scale=0.802, 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: [55, 63, 279, 324]
Object 1 bbox: [85, 82, 212, 305]

[Assistant]
create("mesh/0.glb", loc=(0.192, -1.147, -0.166), rot=(0.136, -0.347, 3.097), scale=1.007, des="giraffe")
create("mesh/1.glb", loc=(0.249, -1.267, -0.156), rot=(0.129, 0.443, -2.28), scale=0.769, 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 2 objects detected in the scene: Object 0 bbox: [105, 381, 51, 54]
Object 1 bbox: [85, 329, 47, 57]

[Assistant]
create("mesh/0.glb", loc=(0.098, -2.816, -0.308), rot=(-0.171, 1.038, 2.447), scale=0.152, des="shoe")
create("mesh/1.glb", loc=(0.152, -2.966, -0.216), rot=(0.336, 0.868, 2.069), scale=0.163, 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 7 objects detected in the scene: Object 0 bbox: [489, 155, 91, 171]
Object 1 bbox: [132, 81, 80, 176]
Object 2 bbox: [47, 233, 142, 142]
Object 3 bbox: [163, 0, 63, 235]
Object 4 bbox: [587, 218, 44, 60]
Object 5 bbox: [446, 76, 88, 86]
Object 6 bbox: [363, 338, 102, 30]

[Assistant]
create("mesh/0.glb", loc=(-0.536, -1.496, -0.001), rot=(-0.028, 0.029, 2.792), scale=0.422, des="pop_(soda)")
create("mesh/1.glb", loc=(0.416, -1.779, 0.158), rot=(-0.051, 0.039, 2.097), scale=0.642, des="glass_(drink_container)")
create("mesh/2.glb", loc=(0.29, -1.146, -0.116), rot=(-0.024, 0.116, 2.559), scale=0.329, des="gravy_boat")
create("mesh/3.glb", loc=(0.344, -1.63, 0.263), rot=(-0.097, -0.355, -1.171), scale=0.881, des="straw_(for_drinking)")
create("mesh/4.glb", loc=(-0.852, -1.764, -0.023), rot=(-0.03, 0.071, 3.104), scale=0.191, des="saltshaker")
create("mesh/5.glb", loc=(-0.463, -1.514, 0.272), rot=(-0.079, -3.075, -0.412), scale=0.32, des="straw_(for_drinking)")
create("mesh/6.glb", loc=(-0.178, -1.081, -0.21), rot=(2.094, 2.31, 0.165), scale=0.18, des="tomato")


[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: [282, 85, 63, 94]

[Assistant] create("mesh/0.glb", loc=(0.043, -2.099, 0.366), rot=(-0.175, -0.644, 2.994), scale=0.542, des="person")


[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, 0, 255, 252]
Object 1 bbox: [94, 90, 405, 201]
Object 2 bbox: [15, 0, 202, 119]
Object 3 bbox: [248, 17, 110, 84]
Object 4 bbox: [427, 210, 72, 164]
Object 5 bbox: [1, 56, 44, 77]
Object 6 bbox: [426, 269, 60, 41]
Object 7 bbox: [439, 347, 60, 27]

[Assistant]
create("mesh/0.glb", loc=(0.55, -2.281, 0.7), rot=(-0.533, -0.685, -1.951), scale=3.037, des="sofa")
create("mesh/1.glb", loc=(-0.448, -1.767, 0.153), rot=(-0.104, 0.273, 2.202), scale=2.128, des="dog")
create("mesh/2.glb", loc=(0.465, -1.911, 0.462), rot=(-0.623, -0.168, -0.97), scale=0.705, des="cushion")
create("mesh/3.glb", loc=(-0.195, -2.241, 0.457), rot=(-0.581, -0.619, -1.945), scale=0.71, des="dog")
create("mesh/4.glb", loc=(-0.591, -1.018, -0.264), rot=(-0.816, 0.212, -0.189), scale=0.654, des="person")
create("mesh/5.glb", loc=(0.63, -1.529, 0.225), rot=(0.249, -1.127, -2.914), scale=0.19, des="cushion")
create("mesh/6.glb", loc=(-0.595, -1.558, -0.278), rot=(-0.733, 1.233, 1.027), scale=0.22, des="flip-flop_(sandal)")
create("mesh/7.glb", loc=(-0.528, -1.259, -0.409), rot=(-0.475, -2.055, 1.468), scale=0.118, des="flip-flop_(sandal)")


[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: [90, 323, 389, 316]
Object 1 bbox: [291, 2, 186, 237]
Object 2 bbox: [220, 0, 114, 337]
Object 3 bbox: [0, 238, 213, 183]
Object 4 bbox: [116, 0, 66, 193]
Object 5 bbox: [0, 74, 115, 32]

[Assistant]
create("mesh/0.glb", loc=(-0.161, -1.189, -0.245), rot=(-0.29, 0.581, 2.311), scale=0.976, des="pizza")
create("mesh/1.glb", loc=(-0.674, -2.749, 0.685), rot=(-0.689, 0.093, -0.865), scale=4.47, des="cushion")
create("mesh/2.glb", loc=(-0.104, -1.661, 0.382), rot=(0.079, 0.848, 2.776), scale=1.506, des="wine_bottle")
create("mesh/3.glb", loc=(0.424, -1.746, -0.0), rot=(-0.572, -0.359, -0.752), scale=0.791, des="salad")
create("mesh/4.glb", loc=(0.474, -3.25, 1.153), rot=(-0.684, -0.426, -0.986), scale=1.02, des="shopping_bag")
create("mesh/5.glb", loc=(1.359, -4.955, 1.678), rot=(-0.331, -2.939, 0.49), scale=0.815, 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 3 objects detected in the scene: Object 0 bbox: [447, 341, 48, 65]
Object 1 bbox: [446, 343, 48, 63]
Object 2 bbox: [395, 342, 52, 62]

[Assistant]
create("mesh/0.glb", loc=(-0.67, -1.773, -0.154), rot=(-0.021, -0.155, 3.118), scale=0.171, des="bucket")
create("mesh/1.glb", loc=(-0.667, -1.769, -0.153), rot=(0.018, 0.16, -3.12), scale=0.169, des="can")
create("mesh/2.glb", loc=(-0.516, -1.785, -0.15), rot=(0.04, 0.029, -1.556), scale=0.173, des="can")


[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: [531, 128, 108, 118]
Object 1 bbox: [29, 188, 161, 74]

[Assistant]
create("mesh/0.glb", loc=(-1.129, -4.468, 0.041), rot=(0.271, -0.495, 2.915), scale=0.988, des="umbrella")
create("mesh/1.glb", loc=(1.243, -7.993, -0.108), rot=(-0.2, 0.082, -3.072), scale=1.142, des="umbrella")


[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, 57, 589, 369]
Object 1 bbox: [532, 78, 107, 348]

[Assistant]
create("mesh/0.glb", loc=(0.043, -0.919, -0.082), rot=(0.055, 0.124, -1.537), scale=1.088, des="elephant")
create("mesh/1.glb", loc=(-0.237, -1.216, -0.05), rot=(-0.22, 0.474, -1.406), scale=1.16, 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 2 objects detected in the scene: Object 0 bbox: [73, 491, 203, 120]
Object 1 bbox: [502, 479, 109, 55]

[Assistant]
create("mesh/0.glb", loc=(0.139, -0.909, -0.272), rot=(2.377, 1.598, -0.026), scale=0.321, des="pizza")
create("mesh/1.glb", loc=(-0.247, -0.68, -0.181), rot=(-2.866, 1.265, -0.12), scale=0.128, des="pizza")


[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: [39, 98, 428, 286]
Object 1 bbox: [353, 277, 176, 149]
Object 2 bbox: [342, 46, 123, 108]
Object 3 bbox: [172, 53, 139, 121]
Object 4 bbox: [461, 160, 152, 61]
Object 5 bbox: [252, 375, 133, 48]
Object 6 bbox: [374, 80, 90, 126]
Object 7 bbox: [485, 229, 63, 84]
Object 8 bbox: [217, 0, 376, 36]
Object 9 bbox: [212, 12, 427, 49]
Object 10 bbox: [557, 144, 51, 106]
Object 11 bbox: [132, 389, 74, 37]
Object 12 bbox: [492, 56, 52, 69]
Object 13 bbox: [1, 186, 89, 37]
Object 14 bbox: [532, 90, 46, 68]

[Assistant]
create("mesh/0.glb", loc=(0.147, -1.343, -0.033), rot=(-0.628, -0.617, -1.394), scale=1.165, des="beef_(food)")
create("mesh/1.glb", loc=(-0.232, -1.132, -0.282), rot=(-0.114, 0.462, -1.32), scale=0.455, des="broccoli")
create("mesh/2.glb", loc=(-0.175, -1.658, 0.22), rot=(-0.988, -0.3, -1.232), scale=0.346, des="broccoli")
create("mesh/3.glb", loc=(0.161, -1.564, 0.225), rot=(-0.737, 1.164, 2.184), scale=0.462, des="broccoli")
create("mesh/4.glb", loc=(-0.571, -1.444, 0.042), rot=(-1.247, -1.526, -1.352), scale=0.408, des="broccoli")
create("mesh/5.glb", loc=(-0.006, -1.024, -0.386), rot=(1.044, -1.422, 1.271), scale=0.286, des="broccoli")
create("mesh/6.glb", loc=(-0.287, -1.548, 0.178), rot=(-0.367, 1.236, 2.342), scale=0.594, des="broccoli")
create("mesh/7.glb", loc=(-0.48, -1.368, -0.144), rot=(-0.149, -2.701, 1.455), scale=0.256, des="broccoli")
create("mesh/8.glb", loc=(-0.241, -2.429, 0.651), rot=(-0.341, -0.248, -1.645), scale=1.749, des="chopstick")
create("mesh/9.glb", loc=(-0.326, -2.28, 0.569), rot=(-0.348, 0.532, 1.426), scale=1.602, des="chopstick")
create("mesh/10.glb", loc=(-0.717, -1.523, 0.03), rot=(0.548, 2.698, -1.179), scale=0.337, des="broccoli")
create("mesh/11.glb", loc=(0.27, -1.056, -0.393), rot=(-0.272, -0.835, -2.06), scale=0.133, des="broccoli")
create("mesh/12.glb", loc=(-0.604, -1.708, 0.363), rot=(0.068, -2.024, 2.002), scale=0.228, des="beef_(food)")
create("mesh/13.glb", loc=(0.669, -1.49, 0.002), rot=(-0.669, -0.784, -0.811), scale=0.23, des="broccoli")
create("mesh/14.glb", loc=(-0.721, -1.689, 0.243), rot=(1.328, -1.958, 1.683), scale=0.225, 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 3 objects detected in the scene: Object 0 bbox: [1, 419, 475, 217]
Object 1 bbox: [73, 322, 61, 127]
Object 2 bbox: [196, 357, 45, 80]

[Assistant]
create("mesh/0.glb", loc=(-0.017, -0.945, -0.377), rot=(-0.038, -0.607, -3.023), scale=1.028, des="table")
create("mesh/1.glb", loc=(0.578, -3.049, -0.393), rot=(-1.419, -0.958, 0.805), scale=0.753, des="backpack")
create("mesh/2.glb", loc=(0.038, -1.315, -0.187), rot=(0.434, -1.14, -2.866), scale=0.221, des="violin")


[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: [96, 215, 324, 346]
Object 1 bbox: [0, 568, 478, 70]
Object 2 bbox: [73, 360, 33, 120]

[Assistant]
create("mesh/0.glb", loc=(-0.053, -1.399, -0.119), rot=(0.077, -0.492, 2.568), scale=0.516, des="sweater")
create("mesh/1.glb", loc=(-0.193, -1.993, -0.788), rot=(0.105, 0.599, -2.803), scale=0.877, des="sofa")
create("mesh/2.glb", loc=(0.182, -1.292, -0.111), rot=(-0.049, 0.038, -1.319), scale=0.154, des="control")


[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, 0, 127, 368]
Object 1 bbox: [69, 106, 140, 214]
Object 2 bbox: [260, 192, 161, 131]
Object 3 bbox: [329, 90, 134, 199]

[Assistant]
create("mesh/0.glb", loc=(0.452, -0.957, 0.025), rot=(-0.068, -0.214, -1.33), scale=0.913, des="car_(automobile)")
create("mesh/1.glb", loc=(0.273, -1.076, -0.032), rot=(-0.79, -0.199, 1.198), scale=0.354, des="bear")
create("mesh/2.glb", loc=(-0.048, -1.122, -0.11), rot=(0.033, 0.078, 1.744), scale=0.277, des="bear")
create("mesh/3.glb", loc=(-0.145, -1.321, -0.01), rot=(-0.175, -0.153, 2.139), scale=0.35, des="bear")


[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: [100, 112, 138, 318]

[Assistant] create("mesh/0.glb", loc=(0.005, -1.752, -0.107), rot=(1.559, -0.082, 0.478), scale=0.553, des="tennis_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 1 objects detected in the scene: Object 0 bbox: [371, 152, 43, 67]

[Assistant] create("mesh/0.glb", loc=(-0.153, -2.077, 0.063), rot=(-0.018, -0.782, -1.952), scale=0.163, 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 7 objects detected in the scene: Object 0 bbox: [399, 190, 212, 326]
Object 1 bbox: [324, 0, 240, 423]
Object 2 bbox: [323, 5, 240, 418]
Object 3 bbox: [183, 467, 221, 124]
Object 4 bbox: [62, 162, 209, 92]
Object 5 bbox: [0, 140, 103, 148]
Object 6 bbox: [73, 260, 204, 81]

[Assistant]
create("mesh/0.glb", loc=(-0.394, -1.164, -0.089), rot=(-0.054, 0.229, 2.911), scale=0.56, des="basket")
create("mesh/1.glb", loc=(-0.24, -1.452, 0.169), rot=(-0.15, 0.128, 1.724), scale=0.882, des="condiment")
create("mesh/2.glb", loc=(-0.223, -1.361, 0.122), rot=(-0.119, 0.091, 1.492), scale=0.865, des="bottle")
create("mesh/3.glb", loc=(0.012, -1.161, -0.292), rot=(-0.073, -0.173, -1.819), scale=0.347, des="condiment")
create("mesh/4.glb", loc=(0.32, -1.864, 0.26), rot=(-0.223, -0.293, -2.258), scale=0.508, des="bread")
create("mesh/5.glb", loc=(0.686, -2.259, 0.228), rot=(-0.196, -0.057, -0.378), scale=0.42, des="basket")
create("mesh/6.glb", loc=(0.263, -1.925, 0.045), rot=(-0.017, -0.182, -2.284), scale=0.463, des="bread")


[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: [214, 21, 196, 196]
Object 1 bbox: [128, 165, 186, 144]
Object 2 bbox: [36, 257, 81, 37]
Object 3 bbox: [377, 21, 68, 86]

[Assistant]
create("mesh/0.glb", loc=(-0.023, -1.505, 0.047), rot=(-0.219, 0.195, -3.007), scale=0.155, des="stop_sign")
create("mesh/1.glb", loc=(0.124, -2.78, -0.079), rot=(-3.103, 0.004, 0.001), scale=0.28, des="grill")
create("mesh/2.glb", loc=(0.355, -2.841, -0.124), rot=(0.124, -0.021, 1.736), scale=0.121, des="headlight")
create("mesh/3.glb", loc=(-0.136, -2.378, 0.188), rot=(0.034, -0.002, 1.461), scale=0.127, des="rearview_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 4 objects detected in the scene: Object 0 bbox: [0, 94, 364, 385]
Object 1 bbox: [321, 120, 265, 335]
Object 2 bbox: [427, 334, 98, 50]
Object 3 bbox: [198, 146, 73, 51]

[Assistant]
create("mesh/0.glb", loc=(0.574, -1.19, -0.181), rot=(-0.001, 0.012, -1.933), scale=1.459, des="horse")
create("mesh/1.glb", loc=(-0.278, -1.9, -0.144), rot=(-0.015, 0.069, -2.604), scale=1.389, des="horse")
create("mesh/2.glb", loc=(-0.192, -0.76, -0.142), rot=(-0.056, 0.211, 2.711), scale=0.12, des="cake")
create("mesh/3.glb", loc=(0.102, -0.749, 0.088), rot=(-0.628, -0.623, -2.279), scale=0.105, des="baseball_cap")


[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: [126, 15, 117, 215]
Object 1 bbox: [237, 73, 74, 71]
Object 2 bbox: [256, 191, 62, 63]
Object 3 bbox: [302, 133, 52, 56]
Object 4 bbox: [235, 217, 56, 63]
Object 5 bbox: [40, 158, 195, 182]
Object 6 bbox: [26, 170, 198, 176]
Object 7 bbox: [274, 173, 55, 45]

[Assistant]
create("mesh/0.glb", loc=(0.159, -1.562, 0.179), rot=(-0.649, -1.721, -1.023), scale=0.726, des="banana")
create("mesh/1.glb", loc=(-0.083, -1.537, 0.221), rot=(-1.759, -0.055, -0.197), scale=0.228, des="condiment")
create("mesh/2.glb", loc=(-0.121, -1.581, -0.108), rot=(1.201, 1.554, -1.681), scale=0.181, des="sushi")
create("mesh/3.glb", loc=(-0.247, -1.628, 0.084), rot=(-0.183, -1.977, 2.335), scale=0.181, des="sushi")
create("mesh/4.glb", loc=(-0.054, -1.696, -0.195), rot=(-0.613, -1.681, -1.617), scale=0.175, des="sushi")
create("mesh/5.glb", loc=(0.237, -1.732, -0.229), rot=(-0.345, -1.404, -1.702), scale=0.813, des="chopstick")
create("mesh/6.glb", loc=(0.331, -1.619, -0.221), rot=(0.386, -0.882, -1.379), scale=0.858, des="chopstick")
create("mesh/7.glb", loc=(-0.157, -1.632, -0.035), rot=(0.632, -2.069, 1.497), scale=0.176, des="sushi")


[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: [337, 52, 162, 163]
Object 1 bbox: [337, 52, 162, 163]
Object 2 bbox: [0, 105, 140, 132]
Object 3 bbox: [26, 269, 135, 105]
Object 4 bbox: [372, 114, 127, 55]
Object 5 bbox: [422, 53, 77, 73]
Object 6 bbox: [248, 47, 87, 81]
Object 7 bbox: [205, 321, 78, 40]
Object 8 bbox: [280, 302, 53, 46]

[Assistant]
create("mesh/0.glb", loc=(-1.271, -3.679, 0.321), rot=(-0.175, 0.417, 2.397), scale=2.203, des="bench")
create("mesh/1.glb", loc=(-1.251, -3.543, 0.334), rot=(-0.155, 0.398, 2.436), scale=2.153, des="sofa")
create("mesh/2.glb", loc=(0.648, -2.539, 0.038), rot=(-0.001, -0.763, -1.989), scale=0.641, des="television_set")
create("mesh/3.glb", loc=(0.304, -1.267, -0.421), rot=(-0.812, 0.009, 0.622), scale=0.477, des="bench")
create("mesh/4.glb", loc=(-1.215, -3.225, 0.241), rot=(-0.34, -0.064, -0.691), scale=0.83, des="cushion")
create("mesh/5.glb", loc=(-1.47, -3.7, 0.575), rot=(-0.12, 0.392, 2.455), scale=1.088, des="cushion")
create("mesh/6.glb", loc=(-0.139, -1.456, 0.223), rot=(2.391, -1.31, -0.166), scale=0.266, des="hat")
create("mesh/7.glb", loc=(-0.001, -0.969, -0.262), rot=(-0.042, -0.094, -1.675), scale=0.133, des="sandwich")
create("mesh/8.glb", loc=(-0.117, -1.013, -0.24), rot=(-0.28, -0.177, -2.033), scale=0.121, des="sandwich")


[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: [486, 266, 153, 159]
Object 1 bbox: [288, 170, 141, 220]
Object 2 bbox: [374, 134, 143, 61]

[Assistant]
create("mesh/0.glb", loc=(-0.101, -0.388, -0.06), rot=(-0.025, -0.57, 3.067), scale=0.072, des="mirror")
create("mesh/1.glb", loc=(-0.055, -1.105, -0.078), rot=(0.067, -0.286, 2.403), scale=0.278, des="horse")
create("mesh/2.glb", loc=(-0.176, -1.243, 0.047), rot=(0.084, -0.37, 2.722), scale=0.203, des="awning")


[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: [141, 13, 268, 213]
Object 1 bbox: [79, 10, 150, 273]
Object 2 bbox: [306, 156, 29, 70]
Object 3 bbox: [363, 142, 22, 62]

[Assistant]
create("mesh/0.glb", loc=(-0.309, -2.203, 0.116), rot=(-0.017, -0.019, 2.538), scale=1.543, des="wagon")
create("mesh/1.glb", loc=(0.092, -1.605, 0.041), rot=(0.032, -0.068, 2.669), scale=0.76, des="horse")
create("mesh/2.glb", loc=(-0.335, -1.969, -0.098), rot=(1.562, -2.618, 0.2), scale=0.205, des="wagon_wheel")
create("mesh/3.glb", loc=(-0.586, -2.358, -0.056), rot=(1.589, -2.622, 0.171), scale=0.216, des="wagon_wheel")


[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: [131, 108, 370, 293]
Object 1 bbox: [560, 183, 79, 178]

[Assistant]
create("mesh/0.glb", loc=(0.006, -1.572, -0.124), rot=(-0.15, 1.438, 2.414), scale=0.771, des="napkin")
create("mesh/1.glb", loc=(-0.586, -1.492, -0.136), rot=(0.803, 1.974, 0.632), scale=0.436, des="sweater")


[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: [85, 376, 182, 204]
Object 1 bbox: [145, 241, 128, 135]
Object 2 bbox: [146, 241, 127, 135]
Object 3 bbox: [127, 326, 118, 126]
Object 4 bbox: [129, 368, 119, 84]
Object 5 bbox: [0, 315, 88, 66]
Object 6 bbox: [1, 315, 88, 65]
Object 7 bbox: [245, 387, 66, 168]
Object 8 bbox: [108, 250, 39, 98]
Object 9 bbox: [16, 247, 68, 35]
Object 10 bbox: [15, 247, 69, 36]

[Assistant]
create("mesh/0.glb", loc=(0.108, -1.17, -0.327), rot=(-0.091, -0.272, 1.551), scale=0.827, des="suitcase")
create("mesh/1.glb", loc=(0.048, -1.012, 0.008), rot=(-2.964, -0.241, -0.207), scale=0.238, des="suitcase")
create("mesh/2.glb", loc=(0.045, -1.025, 0.006), rot=(-2.678, 1.523, -0.219), scale=0.245, des="duffel_bag")
create("mesh/3.glb", loc=(0.085, -1.042, -0.123), rot=(-0.168, -2.193, 2.191), scale=0.286, des="duffel_bag")
create("mesh/4.glb", loc=(0.081, -1.02, -0.155), rot=(1.043, -1.151, 1.207), scale=0.237, des="suitcase")
create("mesh/5.glb", loc=(0.797, -2.411, -0.107), rot=(-0.018, 0.118, 0.235), scale=0.385, des="suitcase")
create("mesh/6.glb", loc=(0.794, -2.415, -0.108), rot=(-0.063, 0.083, 0.231), scale=0.382, des="duffel_bag")
create("mesh/7.glb", loc=(-0.069, -1.111, -0.249), rot=(0.009, -0.047, -3.026), scale=0.325, des="suitcase")
create("mesh/8.glb", loc=(0.482, -2.525, 0.068), rot=(-0.509, 0.578, 2.145), scale=0.453, des="trousers")
create("mesh/9.glb", loc=(1.043, -3.297, 0.298), rot=(-0.246, -0.266, -1.485), scale=0.386, des="duffel_bag")
create("mesh/10.glb", loc=(1.048, -3.29, 0.31), rot=(-0.261, -0.298, -1.491), scale=0.385, des="suitcase")


[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: [253, 118, 95, 128]

[Assistant] create("mesh/0.glb", loc=(0.022, -0.88, -0.025), rot=(-0.24, 0.212, -0.705), scale=0.592, 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 1 objects detected in the scene: Object 0 bbox: [224, 70, 412, 408]

[Assistant] create("mesh/0.glb", loc=(-0.297, -0.952, -0.089), rot=(-0.058, -0.655, 2.154), scale=1.187, des="dog")


[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: [1, 396, 377, 242]
Object 1 bbox: [80, 222, 232, 137]
Object 2 bbox: [0, 224, 99, 216]
Object 3 bbox: [89, 223, 230, 146]
Object 4 bbox: [27, 161, 161, 75]
Object 5 bbox: [0, 425, 43, 90]
Object 6 bbox: [71, 151, 77, 64]
Object 7 bbox: [0, 138, 28, 92]
Object 8 bbox: [328, 87, 49, 135]

[Assistant]
create("mesh/0.glb", loc=(-0.022, -1.021, -0.365), rot=(0.052, 0.853, 3.0), scale=0.755, des="plate")
create("mesh/1.glb", loc=(0.032, -1.705, 0.109), rot=(-0.542, -0.248, -0.888), scale=0.78, des="pizza")
create("mesh/2.glb", loc=(0.289, -1.265, -0.033), rot=(-0.11, -0.73, -2.783), scale=0.419, des="glass_(drink_container)")
create("mesh/3.glb", loc=(0.007, -1.714, 0.051), rot=(0.089, 0.892, 3.009), scale=0.778, des="plate")
create("mesh/4.glb", loc=(0.313, -2.298, 0.433), rot=(-0.652, -0.353, -1.052), scale=0.69, des="plate")
create("mesh/5.glb", loc=(0.307, -1.054, -0.249), rot=(-0.197, 0.779, 2.983), scale=0.2, des="napkin")
create("mesh/6.glb", loc=(0.246, -2.277, 0.438), rot=(1.389, -1.919, -1.883), scale=0.259, des="pizza")
create("mesh/7.glb", loc=(0.526, -1.851, 0.33), rot=(-0.01, -1.388, -2.373), scale=0.482, des="glass_(drink_container)")
create("mesh/8.glb", loc=(-0.476, -1.743, 0.44), rot=(-0.551, -1.587, -2.395), scale=0.524, 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 2 objects detected in the scene: Object 0 bbox: [0, 297, 357, 76]
Object 1 bbox: [404, 90, 71, 264]

[Assistant]
create("mesh/0.glb", loc=(0.261, -1.126, -0.419), rot=(-0.805, -0.14, -0.129), scale=1.275, des="book")
create("mesh/1.glb", loc=(-0.555, -1.438, -0.026), rot=(-0.177, -2.918, 1.06), scale=1.214, des="napkin")


[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, 103, 215, 232]
Object 1 bbox: [477, 0, 45, 427]
Object 2 bbox: [429, 137, 210, 142]
Object 3 bbox: [403, 206, 55, 93]

[Assistant]
create("mesh/0.glb", loc=(0.729, -1.622, -0.01), rot=(-0.005, -0.049, 2.974), scale=1.618, des="train_(railroad_vehicle)")
create("mesh/1.glb", loc=(-0.237, -0.53, -0.018), rot=(2.088, -2.268, 0.059), scale=0.637, des="pole")
create("mesh/2.glb", loc=(-1.299, -2.685, 0.049), rot=(-0.095, 0.004, 0.075), scale=2.435, des="train_(railroad_vehicle)")
create("mesh/3.glb", loc=(-0.34, -1.384, -0.114), rot=(0.002, 0.067, -3.077), scale=0.285, des="trash_can")


[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: [38, 40, 601, 384]
Object 1 bbox: [50, 149, 422, 275]
Object 2 bbox: [296, 356, 95, 68]

[Assistant]
create("mesh/0.glb", loc=(-0.305, -1.578, -0.148), rot=(-0.217, -0.66, -2.247), scale=2.08, des="scissors")
create("mesh/1.glb", loc=(0.094, -1.838, -0.223), rot=(-0.758, -0.131, 0.021), scale=0.97, des="bobbin")
create("mesh/2.glb", loc=(-0.054, -1.538, -0.337), rot=(-0.86, 0.148, -2.029), scale=0.196, des="bobbin")


[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: [19, 0, 460, 424]
Object 1 bbox: [1, 203, 451, 435]
Object 2 bbox: [1, 247, 353, 273]
Object 3 bbox: [0, 155, 480, 484]
Object 4 bbox: [0, 88, 58, 90]
Object 5 bbox: [0, 87, 57, 91]

[Assistant]
create("mesh/0.glb", loc=(-0.548, -2.477, 1.285), rot=(-0.091, -0.935, -2.358), scale=4.772, des="tissue_paper")
create("mesh/1.glb", loc=(0.276, -1.427, -0.146), rot=(-0.686, 0.41, 0.772), scale=1.707, des="bread")
create("mesh/2.glb", loc=(0.221, -1.383, -0.08), rot=(-0.055, -0.367, -2.692), scale=1.423, des="condiment")
create("mesh/3.glb", loc=(0.224, -1.675, 0.223), rot=(-0.458, -1.081, -2.432), scale=3.611, des="table")
create("mesh/4.glb", loc=(0.939, -2.525, 0.961), rot=(-0.168, -1.137, -2.517), scale=0.781, des="cup")
create("mesh/5.glb", loc=(1.066, -2.518, 0.964), rot=(-0.155, -1.181, -2.547), scale=0.773, 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 1 objects detected in the scene: Object 0 bbox: [274, 154, 29, 64]

[Assistant] create("mesh/0.glb", loc=(0.034, -0.821, 0.059), rot=(-0.036, 3.117, 0.011), scale=0.074, des="rearview_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: [146, 156, 158, 172]

[Assistant] create("mesh/0.glb", loc=(0.256, -3.168, -0.094), rot=(-0.865, -0.32, -1.996), scale=0.872, des="airplane")


[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: [299, 386, 184, 93]
Object 1 bbox: [332, 227, 76, 41]

[Assistant]
create("mesh/0.glb", loc=(-0.126, -0.433, -0.216), rot=(0.058, 0.077, -1.973), scale=0.275, des="bench")
create("mesh/1.glb", loc=(-0.438, -4.046, -0.087), rot=(0.07, -0.03, 2.523), scale=1.139, 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 6 objects detected in the scene: Object 0 bbox: [121, 238, 104, 192]
Object 1 bbox: [12, 250, 37, 128]
Object 2 bbox: [10, 168, 36, 83]
Object 3 bbox: [15, 365, 38, 99]
Object 4 bbox: [1, 301, 13, 162]
Object 5 bbox: [0, 163, 13, 139]

[Assistant]
create("mesh/0.glb", loc=(-0.033, -2.361, -0.422), rot=(-0.001, 0.03, 2.935), scale=0.989, des="refrigerator")
create("mesh/1.glb", loc=(0.838, -2.043, -0.342), rot=(-0.009, -0.003, 1.45), scale=0.617, des="box")
create("mesh/2.glb", loc=(0.68, -1.962, 0.172), rot=(-0.041, -0.091, -1.705), scale=0.376, des="box")
create("mesh/3.glb", loc=(0.691, -2.005, -0.788), rot=(1.913, -2.434, 0.152), scale=0.392, des="box")
create("mesh/4.glb", loc=(0.917, -1.858, -0.61), rot=(2.159, -2.269, 0.039), scale=0.734, des="box")
create("mesh/5.glb", loc=(0.85, -1.763, 0.025), rot=(-2.155, -2.257, 0.013), scale=0.655, des="box")


[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: [326, 582, 67, 56]
Object 1 bbox: [111, 324, 82, 27]

[Assistant]
create("mesh/0.glb", loc=(-0.124, -0.586, -0.218), rot=(-0.043, 0.016, -1.543), scale=0.056, des="fireplug")
create("mesh/1.glb", loc=(0.179, -2.836, -0.059), rot=(0.051, 0.005, 0.072), scale=0.3, des="umbrella")


[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: [47, 39, 532, 394]
Object 1 bbox: [14, 43, 123, 133]
Object 2 bbox: [454, 350, 55, 69]
Object 3 bbox: [343, 232, 63, 57]
Object 4 bbox: [172, 267, 61, 47]
Object 5 bbox: [309, 158, 85, 60]
Object 6 bbox: [361, 330, 47, 54]
Object 7 bbox: [46, 304, 50, 70]
Object 8 bbox: [414, 370, 43, 64]

[Assistant]
create("mesh/0.glb", loc=(-0.011, -1.488, -0.023), rot=(-0.6, 1.357, 2.126), scale=1.555, des="pizza")
create("mesh/1.glb", loc=(0.875, -2.081, 0.477), rot=(-0.201, -1.473, -2.244), scale=0.502, des="receipt")
create("mesh/2.glb", loc=(-0.431, -1.448, -0.37), rot=(-0.924, -0.315, -0.583), scale=0.214, des="mushroom")
create("mesh/3.glb", loc=(-0.147, -1.43, -0.048), rot=(-0.402, -1.333, -2.088), scale=0.176, des="mushroom")
create("mesh/4.glb", loc=(0.262, -1.323, -0.125), rot=(-0.658, -0.872, -1.295), scale=0.143, des="mushroom")
create("mesh/5.glb", loc=(-0.09, -1.55, 0.136), rot=(0.258, -0.967, -1.997), scale=0.276, des="mushroom")
create("mesh/6.glb", loc=(-0.165, -1.397, -0.299), rot=(-0.316, 1.964, 2.382), scale=0.133, des="mushroom")
create("mesh/7.glb", loc=(0.573, -1.319, -0.229), rot=(-0.056, 1.636, 2.58), scale=0.149, des="mushroom")
create("mesh/8.glb", loc=(-0.3, -1.441, -0.417), rot=(-0.149, -1.801, -2.552), scale=0.151, des="mushroom")


[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: [33, 156, 292, 250]
Object 1 bbox: [311, 352, 114, 287]
Object 2 bbox: [143, 336, 148, 271]
Object 3 bbox: [144, 408, 147, 199]
Object 4 bbox: [314, 506, 111, 132]
Object 5 bbox: [0, 373, 74, 175]
Object 6 bbox: [170, 545, 153, 94]
Object 7 bbox: [171, 545, 153, 94]
Object 8 bbox: [218, 256, 109, 87]
Object 9 bbox: [0, 433, 73, 115]
Object 10 bbox: [221, 277, 104, 66]
Object 11 bbox: [0, 35, 25, 282]
Object 12 bbox: [295, 342, 125, 167]
Object 13 bbox: [104, 381, 50, 132]
Object 14 bbox: [266, 335, 56, 164]
Object 15 bbox: [291, 426, 44, 88]
Object 16 bbox: [65, 388, 44, 76]
Object 17 bbox: [109, 427, 37, 85]
Object 18 bbox: [25, 222, 72, 96]
Object 19 bbox: [0, 317, 46, 56]

[Assistant]
create("mesh/0.glb", loc=(0.081, -1.655, 0.118), rot=(0.113, 0.183, 2.608), scale=0.715, des="teddy_bear")
create("mesh/1.glb", loc=(-0.266, -1.077, -0.288), rot=(-0.009, -0.019, -0.182), scale=0.492, des="jar")
create("mesh/2.glb", loc=(-0.013, -1.321, -0.289), rot=(-0.013, -0.002, 2.128), scale=0.53, des="jar")
create("mesh/3.glb", loc=(-0.015, -1.294, -0.369), rot=(0.012, -0.03, 1.509), scale=0.452, des="honey")
create("mesh/4.glb", loc=(-0.26, -1.034, -0.397), rot=(0.085, -0.145, 1.869), scale=0.275, des="honey")
create("mesh/5.glb", loc=(0.428, -1.538, -0.318), rot=(0.004, 0.186, -3.108), scale=0.388, des="jar")
create("mesh/6.glb", loc=(-0.064, -1.073, -0.432), rot=(0.016, 0.087, -3.14), scale=0.272, des="honey")
create("mesh/7.glb", loc=(-0.059, -1.07, -0.459), rot=(0.015, 0.084, -3.087), scale=0.57, des="jar")
create("mesh/8.glb", loc=(-0.148, -1.613, 0.055), rot=(-0.028, -0.026, -1.204), scale=0.289, des="jar")
create("mesh/9.glb", loc=(0.428, -1.546, -0.379), rot=(0.029, 0.042, -2.196), scale=0.257, des="honey")
create("mesh/10.glb", loc=(-0.152, -1.647, 0.03), rot=(-0.068, -0.007, -0.198), scale=0.293, des="honey")
create("mesh/11.glb", loc=(0.868, -2.843, 0.593), rot=(-0.087, -0.07, -1.654), scale=1.408, des="log")
create("mesh/12.glb", loc=(-0.331, -1.374, -0.26), rot=(-0.031, -0.012, -0.321), scale=0.374, des="jar")
create("mesh/13.glb", loc=(0.171, -1.746, -0.312), rot=(-0.057, 0.029, 1.624), scale=0.331, des="jar")
create("mesh/14.glb", loc=(-0.185, -1.528, -0.216), rot=(-0.029, 0.018, -2.612), scale=0.381, des="jar")
create("mesh/15.glb", loc=(-0.204, -1.289, -0.342), rot=(0.097, -0.175, 3.048), scale=0.463, des="honey")
create("mesh/16.glb", loc=(0.383, -2.065, -0.315), rot=(-0.043, -0.022, -1.145), scale=0.221, des="honey")
create("mesh/17.glb", loc=(0.18, -1.75, -0.379), rot=(-0.068, -0.01, 0.107), scale=0.209, des="honey")
create("mesh/18.glb", loc=(0.647, -2.967, 0.206), rot=(-1.889, -0.994, 0.354), scale=0.538, des="log")
create("mesh/19.glb", loc=(0.579, -2.075, -0.062), rot=(-0.141, 0.042, 1.069), scale=0.348, des="jar")


[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: [156, 362, 240, 274]
Object 1 bbox: [157, 363, 239, 273]
Object 2 bbox: [143, 287, 126, 150]
Object 3 bbox: [63, 4, 74, 171]
Object 4 bbox: [119, 314, 45, 190]
Object 5 bbox: [71, 176, 47, 52]

[Assistant]
create("mesh/0.glb", loc=(-0.309, -2.25, -0.793), rot=(-0.197, -0.226, -1.243), scale=2.437, des="bed")
create("mesh/1.glb", loc=(-0.347, -2.205, -0.801), rot=(0.022, -0.519, -2.73), scale=2.669, des="blanket")
create("mesh/2.glb", loc=(0.082, -2.514, -0.135), rot=(-0.005, -0.449, -1.816), scale=1.412, des="sweatshirt")
create("mesh/3.glb", loc=(0.233, -0.78, 0.432), rot=(-0.951, -1.277, -0.241), scale=0.249, des="blanket")
create("mesh/4.glb", loc=(0.395, -2.429, -0.518), rot=(-0.159, 0.045, -1.168), scale=1.192, des="trousers")
create("mesh/5.glb", loc=(0.925, -3.049, 0.858), rot=(0.175, -2.16, -1.927), scale=0.389, des="hat")


[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: [503, 195, 85, 174]
Object 1 bbox: [264, 233, 52, 173]

[Assistant]
create("mesh/0.glb", loc=(-0.344, -2.483, -0.057), rot=(-0.05, 0.024, -0.306), scale=0.354, des="dress")
create("mesh/1.glb", loc=(0.024, -1.616, -0.062), rot=(-0.361, 2.311, -1.964), scale=0.169, 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 12 objects detected in the scene: Object 0 bbox: [89, 53, 310, 283]
Object 1 bbox: [387, 0, 112, 119]
Object 2 bbox: [5, 211, 494, 47]
Object 3 bbox: [51, 111, 18, 263]
Object 4 bbox: [115, 127, 37, 246]
Object 5 bbox: [312, 158, 36, 216]
Object 6 bbox: [227, 123, 51, 250]
Object 7 bbox: [6, 122, 45, 182]
Object 8 bbox: [430, 205, 33, 167]
Object 9 bbox: [324, 151, 63, 187]
Object 10 bbox: [278, 193, 44, 181]
Object 11 bbox: [151, 168, 53, 168]

[Assistant]
create("mesh/0.glb", loc=(0.075, -1.725, -0.095), rot=(-0.135, 0.326, -1.606), scale=1.416, des="giraffe")
create("mesh/1.glb", loc=(-0.666, -1.388, 0.371), rot=(-2.246, 1.357, -0.783), scale=0.499, des="manger")
create("mesh/2.glb", loc=(-0.024, -0.877, -0.118), rot=(0.094, -0.108, 1.603), scale=1.015, des="pole")
create("mesh/3.glb", loc=(0.336, -0.841, -0.104), rot=(0.028, 0.018, -0.212), scale=0.474, des="pole")
create("mesh/4.glb", loc=(0.205, -0.859, -0.122), rot=(0.005, -0.014, 2.166), scale=0.452, des="pole")
create("mesh/5.glb", loc=(-0.163, -0.894, -0.155), rot=(0.016, 0.01, -0.73), scale=0.42, des="pole")
create("mesh/6.glb", loc=(-0.008, -0.864, -0.131), rot=(0.204, -0.066, -0.948), scale=0.516, des="pole")
create("mesh/7.glb", loc=(1.785, -3.882, -0.249), rot=(0.079, 0.13, -2.407), scale=1.491, des="giraffe")
create("mesh/8.glb", loc=(-0.387, -0.907, -0.21), rot=(-0.047, 0.029, -1.266), scale=0.353, des="pole")
create("mesh/9.glb", loc=(-0.212, -0.949, -0.109), rot=(0.284, -2.195, 1.976), scale=0.384, des="pole")
create("mesh/10.glb", loc=(-0.096, -0.865, -0.183), rot=(-0.092, -0.039, -1.108), scale=0.368, des="pole")
create("mesh/11.glb", loc=(0.136, -0.872, -0.114), rot=(-1.432, -0.023, -0.43), scale=0.331, 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 4 objects detected in the scene: Object 0 bbox: [66, 0, 291, 176]
Object 1 bbox: [274, 442, 73, 195]
Object 2 bbox: [91, 194, 162, 63]
Object 3 bbox: [320, 432, 49, 207]

[Assistant]
create("mesh/0.glb", loc=(0.103, -1.678, 0.706), rot=(0.065, -0.784, -2.979), scale=0.922, des="mirror")
create("mesh/1.glb", loc=(-0.239, -1.81, -0.747), rot=(0.845, -0.768, 1.216), scale=1.028, des="pipe")
create("mesh/2.glb", loc=(0.182, -1.652, 0.255), rot=(-0.277, -0.368, -1.556), scale=0.486, des="basket")
create("mesh/3.glb", loc=(-0.306, -1.71, -0.634), rot=(-0.033, -2.523, 0.65), scale=0.764, des="pipe")


[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: [69, 164, 120, 55]
Object 1 bbox: [140, 192, 60, 58]

[Assistant]
create("mesh/0.glb", loc=(0.694, -5.82, 0.282), rot=(-0.117, 0.026, 0.819), scale=0.694, des="pickup_truck")
create("mesh/1.glb", loc=(0.126, -1.216, 0.03), rot=(-0.507, 0.166, -1.484), scale=0.096, des="pigeon")


[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: [225, 0, 363, 172]
Object 1 bbox: [207, 245, 182, 46]
Object 2 bbox: [472, 243, 72, 60]
Object 3 bbox: [91, 378, 63, 47]
Object 4 bbox: [441, 231, 68, 56]
Object 5 bbox: [314, 191, 65, 50]
Object 6 bbox: [398, 30, 26, 83]
Object 7 bbox: [379, 25, 23, 91]

[Assistant]
create("mesh/0.glb", loc=(-0.153, -1.862, 0.447), rot=(-0.079, 0.175, 2.393), scale=1.359, des="mirror")
create("mesh/1.glb", loc=(0.041, -1.501, -0.231), rot=(-0.056, 0.191, 2.724), scale=0.603, des="sink")
create("mesh/2.glb", loc=(-0.418, -1.304, -0.134), rot=(-0.405, -0.158, -1.237), scale=0.165, des="cup")
create("mesh/3.glb", loc=(0.658, -1.958, -0.64), rot=(0.971, 2.393, 1.184), scale=0.202, des="toilet_tissue")
create("mesh/4.glb", loc=(-0.378, -1.405, -0.113), rot=(-0.11, 0.038, -2.345), scale=0.18, des="cup")
create("mesh/5.glb", loc=(-0.094, -1.889, 0.001), rot=(-0.245, 0.073, 0.983), scale=0.252, des="faucet")
create("mesh/6.glb", loc=(-0.285, -1.816, 0.442), rot=(-0.042, 0.106, 2.065), scale=0.243, des="towel")
create("mesh/7.glb", loc=(-0.229, -1.861, 0.453), rot=(-0.263, -0.113, -0.913), scale=0.284, des="towel")


[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: [74, 118, 25, 162]

[Assistant] create("mesh/0.glb", loc=(0.69, -1.645, 0.036), rot=(-0.177, -3.111, 0.176), scale=0.508, 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 2 objects detected in the scene: Object 0 bbox: [157, 149, 345, 409]
Object 1 bbox: [529, 94, 56, 450]

[Assistant]
create("mesh/0.glb", loc=(-0.144, -1.693, -0.09), rot=(-0.021, -0.185, 2.772), scale=1.04, des="bus_(vehicle)")
create("mesh/1.glb", loc=(-0.392, -1.578, 0.022), rot=(0.053, 0.277, -3.123), scale=0.677, des="streetlight")


[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, 188, 480, 310]
Object 1 bbox: [0, 255, 92, 59]

[Assistant]
create("mesh/0.glb", loc=(-0.245, -1.759, -0.112), rot=(-0.035, 0.01, 2.126), scale=2.677, des="airplane")
create("mesh/1.glb", loc=(0.341, -0.899, 0.069), rot=(-1.968, -1.518, -0.063), scale=0.243, des="propeller")


[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: [74, 154, 308, 213]
Object 1 bbox: [249, 263, 220, 111]
Object 2 bbox: [113, 114, 51, 94]

[Assistant]
create("mesh/0.glb", loc=(-0.053, -1.687, -0.265), rot=(-0.171, -0.754, -2.562), scale=1.327, des="desk")
create("mesh/1.glb", loc=(-0.301, -1.314, -0.407), rot=(-0.73, 0.11, 0.585), scale=0.736, des="chair")
create("mesh/2.glb", loc=(0.383, -1.541, 0.101), rot=(-1.121, -0.01, -0.158), scale=0.492, des="cat")


[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: [32, 281, 162, 76]
Object 1 bbox: [85, 296, 82, 86]
Object 2 bbox: [1, 188, 58, 75]
Object 3 bbox: [0, 276, 27, 101]
Object 4 bbox: [70, 219, 54, 44]
Object 5 bbox: [169, 379, 47, 52]

[Assistant]
create("mesh/0.glb", loc=(0.222, -2.073, -0.008), rot=(0.008, -0.349, -2.964), scale=0.392, des="flowerpot")
create("mesh/1.glb", loc=(0.194, -1.947, -0.048), rot=(-0.227, 0.34, 2.425), scale=0.197, des="flowerpot")
create("mesh/2.glb", loc=(0.458, -2.167, 0.213), rot=(-0.12, 0.398, 3.023), scale=0.192, des="flowerpot")
create("mesh/3.glb", loc=(0.495, -1.986, -0.025), rot=(-0.14, -0.234, -1.505), scale=0.23, des="flowerpot")
create("mesh/4.glb", loc=(0.289, -2.208, 0.19), rot=(-0.028, 0.266, 3.103), scale=0.153, des="flowerpot")
create("mesh/5.glb", loc=(0.031, -1.267, -0.123), rot=(0.5, -0.542, -2.591), scale=0.08, des="knee_pad")


[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: [110, 101, 462, 207]
Object 1 bbox: [1, 83, 135, 248]

[Assistant]
create("mesh/0.glb", loc=(-0.138, -2.52, -0.036), rot=(0.012, -0.013, 2.471), scale=1.827, des="train_(railroad_vehicle)")
create("mesh/1.glb", loc=(0.464, -1.594, -0.059), rot=(0.053, -0.041, 2.969), scale=0.601, 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: [309, 141, 58, 70]

[Assistant] create("mesh/0.glb", loc=(-0.033, -1.283, 0.063), rot=(-0.025, 0.045, 2.773), scale=0.113, des="teddy_bear")


[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: [164, 19, 262, 492]
Object 1 bbox: [252, 162, 30, 96]

[Assistant]
create("mesh/0.glb", loc=(-0.329, -1.534, 0.203), rot=(-0.031, 0.038, 2.942), scale=1.47, des="refrigerator")
create("mesh/1.glb", loc=(-0.141, -1.923, 0.269), rot=(-0.002, -0.07, 3.135), scale=0.282, 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 2 objects detected in the scene: Object 0 bbox: [500, 424, 51, 55]
Object 1 bbox: [297, 412, 37, 64]

[Assistant]
create("mesh/0.glb", loc=(-0.102, -0.581, -0.109), rot=(0.054, -3.119, -0.065), scale=0.034, des="sweatshirt")
create("mesh/1.glb", loc=(0.003, -0.692, -0.119), rot=(-0.094, -0.461, 2.626), scale=0.038, 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 2 objects detected in the scene: Object 0 bbox: [0, 3, 354, 329]
Object 1 bbox: [262, 44, 237, 288]

[Assistant]
create("mesh/0.glb", loc=(0.276, -1.962, -0.031), rot=(-0.465, 0.208, 2.303), scale=1.31, des="teddy_bear")
create("mesh/1.glb", loc=(-0.425, -1.556, -0.127), rot=(0.011, -0.0, 2.374), scale=0.942, des="teddy_bear")


[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: [300, 110, 118, 40]

[Assistant] create("mesh/0.glb", loc=(-0.045, -1.46, 0.079), rot=(-1.138, 1.6, -2.083), scale=0.174, des="tennis_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 4 objects detected in the scene: Object 0 bbox: [108, 298, 267, 341]
Object 1 bbox: [283, 601, 127, 37]
Object 2 bbox: [170, 40, 74, 39]
Object 3 bbox: [103, 282, 62, 357]

[Assistant]
create("mesh/0.glb", loc=(-0.026, -0.702, -0.171), rot=(0.082, 0.12, -1.483), scale=0.916, des="trousers")
create("mesh/1.glb", loc=(-0.171, -0.724, -0.488), rot=(-0.164, 0.048, -1.567), scale=0.185, des="ski_boot")
create("mesh/2.glb", loc=(0.043, -0.778, 0.407), rot=(-0.057, 0.553, -3.075), scale=0.14, des="goggles")
create("mesh/3.glb", loc=(0.131, -0.605, -0.195), rot=(0.079, 2.302, -1.894), scale=0.689, des="ski_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 6 objects detected in the scene: Object 0 bbox: [342, 7, 297, 367]
Object 1 bbox: [138, 11, 113, 153]
Object 2 bbox: [256, 8, 92, 132]
Object 3 bbox: [230, 156, 62, 162]
Object 4 bbox: [1, 292, 92, 75]
Object 5 bbox: [289, 289, 78, 108]

[Assistant]
create("mesh/0.glb", loc=(-0.551, -1.489, 0.03), rot=(0.064, 2.044, 2.36), scale=1.155, des="backpack")
create("mesh/1.glb", loc=(0.428, -1.697, 0.371), rot=(0.13, -2.448, 1.894), scale=0.52, des="book")
create("mesh/2.glb", loc=(0.06, -1.734, 0.416), rot=(0.033, -2.469, 1.837), scale=0.453, des="book")
create("mesh/3.glb", loc=(0.184, -1.678, -0.136), rot=(-0.127, 0.414, -3.047), scale=0.545, des="receipt")
create("mesh/4.glb", loc=(0.854, -1.554, -0.416), rot=(-1.237, 1.036, 1.378), scale=0.299, des="wallet")
create("mesh/5.glb", loc=(-0.039, -1.603, -0.493), rot=(-1.052, -0.886, -1.184), scale=0.45, des="receipt")


[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: [0, 160, 640, 264]
Object 1 bbox: [0, 99, 526, 260]
Object 2 bbox: [443, 31, 155, 167]
Object 3 bbox: [0, 59, 187, 64]
Object 4 bbox: [466, 68, 55, 69]

[Assistant]
create("mesh/0.glb", loc=(-0.155, -1.93, -0.25), rot=(-0.111, -0.898, -2.738), scale=2.43, des="bed")
create("mesh/1.glb", loc=(0.162, -2.156, 0.071), rot=(-0.519, -0.626, -1.153), scale=1.701, des="pillow")
create("mesh/2.glb", loc=(-0.571, -2.353, 0.257), rot=(-0.562, 1.093, 2.651), scale=0.409, des="teddy_bear")
create("mesh/3.glb", loc=(0.7, -2.402, 0.31), rot=(-0.431, 0.525, 1.856), scale=0.623, des="pillow")
create("mesh/4.glb", loc=(-0.486, -2.358, 0.295), rot=(-0.857, -1.514, -1.961), scale=0.207, des="bow_(decorative_ribbons)")


[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: [312, 269, 209, 71]
Object 1 bbox: [0, 306, 207, 63]

[Assistant]
create("mesh/0.glb", loc=(-0.288, -1.704, -0.178), rot=(-0.071, -0.016, -2.804), scale=0.559, des="stove")
create("mesh/1.glb", loc=(0.556, -1.445, -0.325), rot=(-0.034, -0.167, -2.784), scale=0.57, des="kitchen_sink")


[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: [3, 409, 91, 82]

[Assistant] create("mesh/0.glb", loc=(0.834, -2.692, -0.619), rot=(-0.068, -1.07, -2.682), scale=0.492, des="vent")


[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: [389, 182, 106, 76]
Object 1 bbox: [312, 0, 93, 77]
Object 2 bbox: [418, 366, 139, 59]
Object 3 bbox: [193, 8, 64, 101]
Object 4 bbox: [33, 30, 95, 99]
Object 5 bbox: [562, 373, 77, 53]
Object 6 bbox: [139, 42, 51, 82]
Object 7 bbox: [326, 341, 114, 39]
Object 8 bbox: [387, 358, 86, 33]
Object 9 bbox: [290, 326, 105, 35]

[Assistant]
create("mesh/0.glb", loc=(-0.47, -1.917, -0.042), rot=(0.029, -0.158, 2.169), scale=0.448, des="oven")
create("mesh/1.glb", loc=(-0.079, -1.059, 0.395), rot=(0.021, 0.175, -3.088), scale=0.247, des="lamp")
create("mesh/2.glb", loc=(-0.26, -0.733, -0.258), rot=(-0.147, -0.046, -2.464), scale=0.191, des="pizza")
create("mesh/3.glb", loc=(0.26, -1.462, 0.442), rot=(-0.014, 0.019, 2.459), scale=0.283, des="lamp")
create("mesh/4.glb", loc=(1.49, -3.172, 0.801), rot=(-0.08, 0.071, -0.492), scale=0.737, des="lamp")
create("mesh/5.glb", loc=(-0.371, -0.648, -0.223), rot=(-0.133, 0.048, 0.08), scale=0.128, des="pizza")
create("mesh/6.glb", loc=(0.532, -1.801, 0.465), rot=(-0.162, -0.084, -0.828), scale=0.295, des="lamp")
create("mesh/7.glb", loc=(-0.129, -1.013, -0.265), rot=(-0.091, -0.035, -2.499), scale=0.205, des="pizza")
create("mesh/8.glb", loc=(-0.198, -0.937, -0.277), rot=(0.035, 0.019, 2.227), scale=0.12, des="pizza")
create("mesh/9.glb", loc=(-0.056, -1.082, -0.262), rot=(0.901, -2.94, 0.152), scale=0.187, des="pizza")


[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: [101, 88, 304, 223]
Object 1 bbox: [399, 0, 230, 277]
Object 2 bbox: [9, 382, 176, 42]
Object 3 bbox: [356, 332, 153, 38]
Object 4 bbox: [558, 342, 81, 33]
Object 5 bbox: [492, 317, 84, 40]

[Assistant]
create("mesh/0.glb", loc=(0.128, -2.823, -0.001), rot=(0.041, -0.175, 2.523), scale=1.01, des="boat")
create("mesh/1.glb", loc=(-0.684, -4.133, 0.18), rot=(-0.002, 0.068, -2.078), scale=1.048, des="boat")
create("mesh/2.glb", loc=(0.207, -1.293, -0.175), rot=(-0.035, -0.235, -0.75), scale=0.195, des="boat")
create("mesh/3.glb", loc=(-0.213, -2.319, -0.259), rot=(0.078, -0.129, 1.897), scale=0.282, des="boat")
create("mesh/4.glb", loc=(-0.521, -2.296, -0.255), rot=(0.047, 0.031, -1.085), scale=0.201, des="boat")
create("mesh/5.glb", loc=(-0.47, -2.744, -0.261), rot=(0.072, -0.141, 1.549), scale=0.221, 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 3 objects detected in the scene: Object 0 bbox: [70, 108, 412, 390]
Object 1 bbox: [21, 111, 416, 303]
Object 2 bbox: [27, 86, 367, 218]

[Assistant]
create("mesh/0.glb", loc=(-0.03, -0.747, 0.074), rot=(-1.33, -0.941, -0.414), scale=1.243, des="tennis_racket")
create("mesh/1.glb", loc=(-0.13, -0.813, 0.064), rot=(-1.279, -1.111, -0.474), scale=0.889, des="tennis_racket")
create("mesh/2.glb", loc=(-0.029, -1.029, 0.144), rot=(0.73, 1.36, -1.541), scale=0.787, des="tennis_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 11 objects detected in the scene: Object 0 bbox: [328, 277, 142, 117]
Object 1 bbox: [290, 161, 83, 134]
Object 2 bbox: [252, 301, 101, 83]
Object 3 bbox: [541, 240, 97, 87]
Object 4 bbox: [433, 167, 92, 89]
Object 5 bbox: [157, 119, 84, 85]
Object 6 bbox: [360, 61, 134, 107]
Object 7 bbox: [406, 404, 103, 55]
Object 8 bbox: [527, 287, 79, 60]
Object 9 bbox: [328, 111, 68, 77]
Object 10 bbox: [434, 67, 72, 42]

[Assistant]
create("mesh/0.glb", loc=(-0.182, -1.511, -0.212), rot=(-0.701, -1.593, -1.683), scale=0.388, des="broccoli")
create("mesh/1.glb", loc=(-0.03, -1.607, 0.021), rot=(-0.024, 2.26, -1.557), scale=0.334, des="broccoli")
create("mesh/2.glb", loc=(0.039, -1.477, -0.24), rot=(-0.68, -1.661, -2.053), scale=0.205, des="broccoli")
create("mesh/3.glb", loc=(-0.739, -1.79, -0.11), rot=(-0.181, 1.052, 1.721), scale=0.209, des="broccoli")
create("mesh/4.glb", loc=(-0.423, -1.69, 0.048), rot=(-1.597, 0.943, 0.521), scale=0.215, des="broccoli")
create("mesh/5.glb", loc=(0.318, -1.792, 0.21), rot=(-1.342, 0.202, 0.827), scale=0.289, des="broccoli")
create("mesh/6.glb", loc=(-0.311, -1.976, 0.371), rot=(1.311, -0.106, -1.232), scale=0.603, des="broccoli")
create("mesh/7.glb", loc=(-0.3, -1.412, -0.416), rot=(1.785, -1.325, 0.841), scale=0.229, des="broccoli")
create("mesh/8.glb", loc=(-0.648, -1.689, -0.22), rot=(-1.593, 0.788, 0.737), scale=0.21, des="broccoli")
create("mesh/9.glb", loc=(-0.118, -1.879, 0.26), rot=(0.479, 1.863, 1.678), scale=0.256, des="broccoli")
create("mesh/10.glb", loc=(-0.532, -2.265, 0.523), rot=(-2.42, -1.928, -0.065), scale=0.273, 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: [92, 68, 367, 302]
Object 1 bbox: [21, 0, 127, 92]

[Assistant]
create("mesh/0.glb", loc=(-0.238, -1.847, 0.085), rot=(0.077, -0.996, 1.392), scale=2.15, des="cat")
create("mesh/1.glb", loc=(0.797, -2.673, 0.73), rot=(-0.955, -0.432, -0.845), scale=0.673, 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 3 objects detected in the scene: Object 0 bbox: [223, 132, 63, 69]
Object 1 bbox: [204, 275, 220, 53]
Object 2 bbox: [54, 253, 317, 69]

[Assistant]
create("mesh/0.glb", loc=(0.117, -1.842, 0.081), rot=(0.756, -0.485, -1.304), scale=0.172, des="vest")
create("mesh/1.glb", loc=(-0.001, -1.696, -0.176), rot=(0.771, 0.45, -1.464), scale=0.461, des="ski")
create("mesh/2.glb", loc=(0.146, -1.722, -0.161), rot=(0.557, 0.28, -1.502), scale=0.514, des="ski")


[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, 442, 628, 71]
Object 1 bbox: [20, 442, 599, 51]
Object 2 bbox: [525, 269, 93, 75]
Object 3 bbox: [61, 431, 134, 21]

[Assistant]
create("mesh/0.glb", loc=(0.001, -1.109, -0.382), rot=(0.007, -0.318, 3.042), scale=0.928, des="bed")
create("mesh/1.glb", loc=(0.007, -1.372, -0.489), rot=(0.098, -0.108, 1.465), scale=1.221, des="blanket")
create("mesh/2.glb", loc=(-0.767, -1.977, -0.203), rot=(-0.133, 0.51, -3.088), scale=0.344, des="lampshade")
create("mesh/3.glb", loc=(0.445, -1.652, -0.444), rot=(0.123, 0.178, -2.111), scale=0.295, 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: [63, 136, 388, 460]

[Assistant] create("mesh/0.glb", loc=(0.179, -1.486, -0.219), rot=(-1.858, -0.246, -0.52), scale=1.759, des="cat")


[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: [1, 178, 464, 195]
Object 1 bbox: [0, 308, 142, 66]
Object 2 bbox: [309, 198, 98, 41]
Object 3 bbox: [163, 172, 63, 44]
Object 4 bbox: [211, 143, 32, 52]

[Assistant]
create("mesh/0.glb", loc=(-0.186, -1.938, -0.365), rot=(-0.162, -0.479, -2.448), scale=1.922, des="desk")
create("mesh/1.glb", loc=(0.461, -1.33, -0.432), rot=(-0.063, -0.334, -2.679), scale=0.342, des="drawer")
create("mesh/2.glb", loc=(-0.34, -1.72, -0.074), rot=(-0.02, -0.905, -2.483), scale=0.257, des="computer_keyboard")
create("mesh/3.glb", loc=(0.184, -1.851, -0.007), rot=(0.009, -0.52, -2.717), scale=0.258, des="telephone")
create("mesh/4.glb", loc=(0.077, -1.967, 0.082), rot=(-0.123, -0.397, -2.482), scale=0.185, des="speaker_(stero_equipment)")


[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: [92, 188, 332, 451]
Object 1 bbox: [175, 186, 229, 331]
Object 2 bbox: [200, 186, 94, 134]

[Assistant]
create("mesh/0.glb", loc=(-0.167, -1.596, -0.214), rot=(0.036, 0.195, -3.024), scale=1.223, des="dress_suit")
create("mesh/1.glb", loc=(-0.157, -1.49, -0.054), rot=(-0.217, 0.524, -1.627), scale=0.543, des="shirt")
create("mesh/2.glb", loc=(-0.092, -1.357, 0.09), rot=(-0.755, 0.465, -1.589), scale=0.222, des="gun")


[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: [4, 1, 342, 218]
Object 1 bbox: [231, 325, 176, 64]
Object 2 bbox: [57, 304, 180, 96]

[Assistant]
create("mesh/0.glb", loc=(0.198, -2.226, 0.381), rot=(0.037, -0.434, -2.952), scale=0.968, des="television_set")
create("mesh/1.glb", loc=(-0.188, -2.335, -0.327), rot=(-0.166, 0.018, 0.323), scale=0.45, des="binder")
create("mesh/2.glb", loc=(0.321, -2.311, -0.337), rot=(0.121, -3.094, 0.133), scale=0.612, des="binder")


[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: [58, 90, 300, 230]
Object 1 bbox: [0, 148, 34, 127]

[Assistant]
create("mesh/0.glb", loc=(0.205, -2.034, 0.005), rot=(-0.009, -0.001, -0.248), scale=1.377, des="bus_(vehicle)")
create("mesh/1.glb", loc=(0.884, -2.11, 0.003), rot=(0.057, -0.003, -0.521), scale=0.405, 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 6 objects detected in the scene: Object 0 bbox: [94, 364, 153, 212]
Object 1 bbox: [68, 408, 103, 127]
Object 2 bbox: [360, 532, 89, 88]
Object 3 bbox: [357, 582, 87, 57]
Object 4 bbox: [369, 261, 39, 90]
Object 5 bbox: [409, 417, 43, 64]

[Assistant]
create("mesh/0.glb", loc=(0.285, -2.041, -0.619), rot=(-0.111, 0.081, 2.4), scale=0.731, des="toilet")
create("mesh/1.glb", loc=(0.653, -2.333, -0.874), rot=(-0.079, -0.11, -2.524), scale=0.717, des="bathtub")
create("mesh/2.glb", loc=(-0.429, -1.244, -0.643), rot=(-0.223, 0.078, 2.305), scale=0.227, des="drawer")
create("mesh/3.glb", loc=(-0.414, -1.266, -0.77), rot=(-0.178, 0.08, 2.205), scale=0.202, des="drawer")
create("mesh/4.glb", loc=(-0.509, -1.683, 0.049), rot=(-0.085, 0.133, 2.351), scale=0.307, des="towel")
create("mesh/5.glb", loc=(-0.569, -1.474, -0.376), rot=(-0.111, -0.014, 0.124), scale=0.183, 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 9 objects detected in the scene: Object 0 bbox: [0, 26, 640, 323]
Object 1 bbox: [0, 25, 448, 290]
Object 2 bbox: [289, 68, 350, 228]
Object 3 bbox: [194, 272, 300, 139]
Object 4 bbox: [294, 290, 87, 128]
Object 5 bbox: [294, 291, 86, 129]
Object 6 bbox: [471, 260, 168, 53]
Object 7 bbox: [368, 344, 54, 54]
Object 8 bbox: [0, 222, 50, 61]

[Assistant]
create("mesh/0.glb", loc=(-0.061, -1.915, 0.255), rot=(-0.735, 0.501, 1.113), scale=2.759, des="bed")
create("mesh/1.glb", loc=(0.22, -2.018, 0.374), rot=(-0.252, 0.988, 2.495), scale=1.506, des="quilt")
create("mesh/2.glb", loc=(-0.49, -1.59, 0.165), rot=(-0.498, 0.479, 1.057), scale=1.053, des="quilt")
create("mesh/3.glb", loc=(-0.006, -1.825, -0.241), rot=(-0.385, -0.154, -0.489), scale=0.82, des="trunk")
create("mesh/4.glb", loc=(-0.045, -1.523, -0.307), rot=(0.951, 2.771, -0.104), scale=0.304, des="poster")
create("mesh/5.glb", loc=(-0.045, -1.524, -0.308), rot=(0.961, 2.781, -0.073), scale=0.301, des="tag")
create("mesh/6.glb", loc=(-0.673, -1.331, -0.093), rot=(-0.27, -0.097, -0.553), scale=0.429, des="mattress")
create("mesh/7.glb", loc=(-0.207, -1.537, -0.356), rot=(-1.789, 0.142, -0.541), scale=0.151, des="tag")
create("mesh/8.glb", loc=(1.167, -2.255, -0.069), rot=(-0.164, 0.463, 3.017), scale=0.283, des="trunk")


[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: [297, 332, 132, 146]
Object 1 bbox: [443, 191, 160, 101]
Object 2 bbox: [7, 287, 152, 113]
Object 3 bbox: [125, 255, 137, 118]
Object 4 bbox: [28, 241, 110, 77]
Object 5 bbox: [330, 193, 88, 57]
Object 6 bbox: [253, 243, 88, 68]
Object 7 bbox: [67, 217, 85, 46]
Object 8 bbox: [337, 173, 98, 63]
Object 9 bbox: [233, 274, 81, 78]
Object 10 bbox: [322, 134, 87, 41]
Object 11 bbox: [198, 210, 71, 45]
Object 12 bbox: [542, 175, 81, 37]
Object 13 bbox: [293, 154, 73, 40]
Object 14 bbox: [425, 155, 96, 83]

[Assistant]
create("mesh/0.glb", loc=(-0.092, -1.052, -0.272), rot=(-0.462, -0.125, 0.732), scale=0.4, des="goat")
create("mesh/1.glb", loc=(-0.592, -1.575, 0.014), rot=(-0.336, 0.267, 0.849), scale=0.427, des="goat")
create("mesh/2.glb", loc=(0.486, -1.25, -0.233), rot=(0.462, 0.591, 2.123), scale=0.405, des="goat")
create("mesh/3.glb", loc=(0.269, -1.343, -0.168), rot=(-0.088, -0.226, 1.622), scale=0.352, des="goat")
create("mesh/4.glb", loc=(0.653, -1.588, -0.116), rot=(-0.036, 0.098, 1.971), scale=0.343, des="goat")
create("mesh/5.glb", loc=(-0.191, -1.93, 0.072), rot=(-0.001, -0.032, 1.698), scale=0.333, des="goat")
create("mesh/6.glb", loc=(0.054, -1.6, -0.087), rot=(0.155, -0.348, 1.528), scale=0.309, des="goat")
create("mesh/7.glb", loc=(0.602, -1.802, -0.03), rot=(-0.103, 0.096, 1.407), scale=0.274, des="goat")
create("mesh/8.glb", loc=(-0.268, -2.05, 0.13), rot=(-0.005, -0.1, 1.414), scale=0.408, des="goat")
create("mesh/9.glb", loc=(0.096, -1.394, -0.154), rot=(-0.179, -0.18, 1.506), scale=0.27, des="goat")
create("mesh/10.glb", loc=(-0.266, -2.683, 0.394), rot=(-0.152, 0.097, 1.523), scale=0.456, des="goat")
create("mesh/11.glb", loc=(0.327, -2.099, 0.021), rot=(-0.105, -0.128, 1.495), scale=0.274, des="goat")
create("mesh/12.glb", loc=(-0.92, -1.959, 0.138), rot=(0.241, 0.003, -1.528), scale=0.291, des="goat")
create("mesh/13.glb", loc=(-0.059, -2.403, 0.284), rot=(-0.03, 0.184, 1.96), scale=0.357, des="goat")
create("mesh/14.glb", loc=(-0.577, -1.995, 0.178), rot=(0.29, 0.075, 2.048), scale=0.45, des="goat")


[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: [104, 202, 107, 127]
Object 1 bbox: [231, 224, 103, 114]
Object 2 bbox: [0, 205, 82, 111]
Object 3 bbox: [401, 235, 99, 103]
Object 4 bbox: [588, 230, 44, 102]

[Assistant]
create("mesh/0.glb", loc=(0.292, -1.786, -0.185), rot=(1.07, 2.406, 1.139), scale=0.262, des="wheel")
create("mesh/1.glb", loc=(0.053, -1.512, -0.199), rot=(-2.039, 0.953, -0.543), scale=0.231, des="wheel")
create("mesh/2.glb", loc=(0.594, -1.968, -0.201), rot=(1.481, -2.748, -0.018), scale=0.247, des="wheel")
create("mesh/3.glb", loc=(-0.197, -1.335, -0.201), rot=(1.083, -2.345, 0.461), scale=0.211, des="wheel")
create("mesh/4.glb", loc=(-0.574, -1.833, -0.221), rot=(-1.169, 0.838, -0.959), scale=0.255, des="wheel")


[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: [147, 219, 492, 200]
Object 1 bbox: [1, 0, 479, 251]
Object 2 bbox: [362, 45, 66, 176]
Object 3 bbox: [493, 271, 142, 147]

[Assistant]
create("mesh/0.glb", loc=(-0.174, -2.832, -0.244), rot=(0.426, 0.278, -0.969), scale=1.344, des="airplane")
create("mesh/1.glb", loc=(0.147, -2.655, 0.131), rot=(-0.013, 0.323, -0.802), scale=1.336, des="airplane")
create("mesh/2.glb", loc=(-0.09, -2.781, 0.104), rot=(-0.818, -1.271, 1.537), scale=0.634, des="propeller")
create("mesh/3.glb", loc=(-0.441, -3.106, -0.311), rot=(1.2, 0.354, -0.89), scale=0.564, des="propeller")


[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: [236, 92, 139, 179]

[Assistant] create("mesh/0.glb", loc=(0.002, -1.537, 0.06), rot=(-0.031, -0.104, -2.866), scale=0.399, des="polar_bear")


[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: [72, 167, 160, 422]
Object 1 bbox: [125, 129, 64, 57]
Object 2 bbox: [131, 162, 25, 75]
Object 3 bbox: [5, 13, 143, 10]

[Assistant]
create("mesh/0.glb", loc=(-0.022, -2.024, -0.198), rot=(0.016, 0.147, 3.067), scale=1.092, des="dress")
create("mesh/1.glb", loc=(-0.031, -1.959, 0.25), rot=(-0.12, -2.167, 2.265), scale=0.138, des="choker")
create("mesh/2.glb", loc=(-0.001, -1.96, 0.172), rot=(-0.028, -0.569, 2.99), scale=0.15, des="necktie")
create("mesh/3.glb", loc=(0.194, -3.5, 0.904), rot=(0.723, 0.835, -1.337), scale=0.459, des="crossbar")


[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: [118, 236, 88, 102]
Object 1 bbox: [256, 582, 153, 57]
Object 2 bbox: [80, 427, 85, 210]
Object 3 bbox: [260, 582, 135, 55]
Object 4 bbox: [131, 575, 46, 64]
Object 5 bbox: [331, 417, 38, 77]

[Assistant]
create("mesh/0.glb", loc=(0.302, -2.463, 0.12), rot=(3.003, -0.478, 0.078), scale=0.423, des="mirror")
create("mesh/1.glb", loc=(-0.321, -2.025, -0.988), rot=(0.003, -0.012, 1.377), scale=0.525, des="toilet")
create("mesh/2.glb", loc=(0.429, -2.271, -0.851), rot=(-0.076, -0.121, -1.808), scale=0.836, des="sink")
create("mesh/3.glb", loc=(-0.305, -2.025, -0.969), rot=(-0.025, -0.004, 1.369), scale=0.424, des="cover")
create("mesh/4.glb", loc=(0.329, -2.492, -1.139), rot=(-0.018, -0.001, 2.506), scale=0.22, des="trash_can")
create("mesh/5.glb", loc=(-0.41, -2.286, -0.503), rot=(-0.094, -0.028, 2.868), scale=0.274, des="dispenser")


[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: [52, 240, 146, 158]
Object 1 bbox: [194, 240, 137, 155]
Object 2 bbox: [217, 241, 82, 72]
Object 3 bbox: [216, 308, 94, 43]
Object 4 bbox: [72, 313, 95, 37]

[Assistant]
create("mesh/0.glb", loc=(0.506, -1.618, -0.267), rot=(-0.015, -0.091, 3.14), scale=0.406, des="armchair")
create("mesh/1.glb", loc=(0.166, -1.664, -0.265), rot=(-0.004, 0.119, -3.031), scale=0.414, des="armchair")
create("mesh/2.glb", loc=(0.175, -1.748, -0.183), rot=(0.0, 0.354, -3.028), scale=0.252, des="cushion")
create("mesh/3.glb", loc=(0.151, -1.593, -0.308), rot=(-0.193, -0.025, 0.089), scale=0.23, des="cushion")
create("mesh/4.glb", loc=(0.502, -1.555, -0.311), rot=(0.19, 3.125, -0.108), scale=0.229, 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 3 objects detected in the scene: Object 0 bbox: [133, 153, 227, 455]
Object 1 bbox: [348, 359, 53, 73]
Object 2 bbox: [0, 343, 121, 20]

[Assistant]
create("mesh/0.glb", loc=(-0.005, -1.76, -0.117), rot=(0.003, -0.161, -2.996), scale=1.203, des="refrigerator")
create("mesh/1.glb", loc=(-0.374, -1.863, -0.241), rot=(-0.054, -0.056, -1.544), scale=0.29, des="box")
create("mesh/2.glb", loc=(0.536, -1.89, -0.139), rot=(0.041, -0.1, -3.044), scale=0.405, des="kitchen_sink")


[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: [118, 111, 170, 265]
Object 1 bbox: [247, 54, 130, 246]
Object 2 bbox: [281, 0, 66, 62]
Object 3 bbox: [50, 142, 58, 59]

[Assistant]
create("mesh/0.glb", loc=(0.011, -2.347, -0.002), rot=(0.092, 0.616, -3.028), scale=0.35, des="tank_top_(clothing)")
create("mesh/1.glb", loc=(-0.131, -2.298, 0.093), rot=(-0.502, 2.041, 1.805), scale=0.296, des="tennis_racket")
create("mesh/2.glb", loc=(-0.297, -5.045, 0.581), rot=(0.046, -0.0, -2.825), scale=0.233, des="tank_top_(clothing)")
create("mesh/3.glb", loc=(0.266, -4.172, 0.177), rot=(-0.003, 0.855, -2.872), scale=0.149, des="tank_top_(clothing)")


[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: [119, 154, 78, 46]
Object 1 bbox: [40, 156, 80, 42]
Object 2 bbox: [0, 161, 51, 46]

[Assistant]
create("mesh/0.glb", loc=(0.634, -4.812, 0.135), rot=(-0.107, 0.002, -0.297), scale=0.468, des="car_(automobile)")
create("mesh/1.glb", loc=(0.984, -4.934, 0.144), rot=(-0.082, -0.007, -0.413), scale=0.478, des="car_(automobile)")
create("mesh/2.glb", loc=(1.031, -3.998, 0.074), rot=(-0.068, -0.02, -0.625), scale=0.366, 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 6 objects detected in the scene: Object 0 bbox: [0, 0, 443, 272]
Object 1 bbox: [225, 145, 159, 131]
Object 2 bbox: [367, 74, 115, 194]
Object 3 bbox: [263, 166, 162, 110]
Object 4 bbox: [0, 191, 79, 89]
Object 5 bbox: [370, 120, 129, 80]

[Assistant]
create("mesh/0.glb", loc=(0.085, -1.841, 0.056), rot=(-0.142, -0.091, -1.52), scale=0.744, des="elephant")
create("mesh/1.glb", loc=(-0.104, -2.519, -0.081), rot=(-0.068, 0.021, -1.474), scale=0.26, des="zebra")
create("mesh/2.glb", loc=(-0.233, -2.048, -0.02), rot=(0.071, -0.256, 2.368), scale=0.259, des="gazelle")
create("mesh/3.glb", loc=(-0.165, -2.551, -0.099), rot=(0.221, -0.274, 1.617), scale=0.303, des="zebra")
create("mesh/4.glb", loc=(0.295, -2.46, -0.117), rot=(0.041, 0.084, -1.893), scale=0.268, des="zebra")
create("mesh/5.glb", loc=(-0.313, -2.477, 0.002), rot=(0.083, 0.09, 1.803), scale=0.256, des="zebra")


[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: [375, 262, 40, 85]

[Assistant] create("mesh/0.glb", loc=(-0.133, -0.979, -0.144), rot=(-0.141, -1.87, 2.419), scale=0.197, des="suitcase")


[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: [91, 87, 548, 386]
Object 1 bbox: [347, 253, 98, 108]

[Assistant]
create("mesh/0.glb", loc=(0.388, -2.21, -0.048), rot=(-0.157, 1.355, -2.777), scale=2.977, des="sofa")
create("mesh/1.glb", loc=(-0.148, -1.74, -0.128), rot=(-0.178, 0.292, -3.099), scale=0.235, des="short_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 9 objects detected in the scene: Object 0 bbox: [179, 62, 167, 158]
Object 1 bbox: [237, 82, 53, 77]
Object 2 bbox: [95, 159, 37, 57]
Object 3 bbox: [431, 175, 30, 57]
Object 4 bbox: [180, 128, 37, 48]
Object 5 bbox: [382, 133, 37, 41]
Object 6 bbox: [148, 139, 33, 42]
Object 7 bbox: [33, 120, 31, 49]
Object 8 bbox: [456, 162, 31, 39]

[Assistant]
create("mesh/0.glb", loc=(-0.022, -1.133, 0.012), rot=(2.142, -0.338, 0.394), scale=0.372, des="kite")
create("mesh/1.glb", loc=(-0.024, -1.147, 0.029), rot=(0.072, -0.092, -0.135), scale=0.135, des="jacket")
create("mesh/2.glb", loc=(0.406, -2.059, -0.14), rot=(-0.026, 0.652, -2.988), scale=0.205, des="baby_buggy")
create("mesh/3.glb", loc=(-0.55, -1.922, -0.173), rot=(0.101, 0.004, -0.562), scale=0.171, des="baby_buggy")
create("mesh/4.glb", loc=(0.111, -1.609, -0.023), rot=(-0.0, -0.265, 2.464), scale=0.123, des="jacket")
create("mesh/5.glb", loc=(-0.344, -1.563, -0.022), rot=(0.037, -0.441, 2.009), scale=0.111, des="jacket")
create("mesh/6.glb", loc=(0.274, -2.322, -0.066), rot=(-0.042, -0.088, 0.989), scale=0.174, des="jacket")
create("mesh/7.glb", loc=(0.548, -1.905, -0.025), rot=(-0.135, 0.64, -2.062), scale=0.174, des="jacket")
create("mesh/8.glb", loc=(-0.606, -1.859, -0.119), rot=(0.053, -0.067, -0.222), scale=0.187, des="jacket")


[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, 43, 164, 194]

[Assistant] create("mesh/0.glb", loc=(0.193, -2.263, 0.608), rot=(-1.168, -0.114, 0.084), scale=0.79, des="suitcase")


[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: [175, 243, 65, 77]

[Assistant] create("mesh/0.glb", loc=(0.067, -0.944, -0.185), rot=(0.035, 0.655, -2.978), scale=0.146, 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 9 objects detected in the scene: Object 0 bbox: [58, 322, 197, 79]
Object 1 bbox: [470, 347, 94, 68]
Object 2 bbox: [10, 191, 44, 208]
Object 3 bbox: [68, 125, 31, 216]
Object 4 bbox: [313, 260, 48, 114]
Object 5 bbox: [99, 388, 158, 33]
Object 6 bbox: [312, 259, 49, 50]
Object 7 bbox: [408, 397, 129, 38]
Object 8 bbox: [558, 235, 28, 72]

[Assistant]
create("mesh/0.glb", loc=(0.435, -2.406, -0.287), rot=(0.003, 0.019, -2.781), scale=0.51, des="bathtub")
create("mesh/1.glb", loc=(-0.502, -2.227, -0.307), rot=(-0.018, -0.034, 2.084), scale=0.244, des="bathtub")
create("mesh/2.glb", loc=(0.768, -2.403, -0.125), rot=(-0.028, 0.054, -2.677), scale=0.593, des="scale_(measuring_instrument)")
create("mesh/3.glb", loc=(0.625, -2.331, 0.05), rot=(-0.031, 0.007, -1.21), scale=0.614, des="shower_curtain")
create("mesh/4.glb", loc=(-0.078, -2.609, -0.177), rot=(0.022, -0.015, 1.601), scale=0.332, des="toilet")
create("mesh/5.glb", loc=(0.347, -2.22, -0.373), rot=(0.432, -3.102, 0.028), scale=0.355, des="bath_mat")
create("mesh/6.glb", loc=(-0.054, -2.554, -0.084), rot=(0.157, -2.214, -1.983), scale=0.149, des="cistern")
create("mesh/7.glb", loc=(-0.351, -2.089, -0.376), rot=(-0.021, -0.001, -1.271), scale=0.35, des="bath_mat")
create("mesh/8.glb", loc=(-0.604, -2.139, -0.033), rot=(-0.002, -0.014, 1.988), scale=0.168, des="bath_towel")