[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: [0, 0, 640, 495]
Object 1 bbox: [0, 2, 638, 490]
Object 2 bbox: [2, 11, 599, 481]
Object 3 bbox: [325, 127, 169, 187]
Object 4 bbox: [167, 190, 174, 151]
Object 5 bbox: [167, 192, 174, 151]
Object 6 bbox: [230, 81, 110, 119]
Object 7 bbox: [229, 81, 111, 118]
Object 8 bbox: [245, 81, 79, 81]
Object 9 bbox: [30, 256, 64, 65]
Object 10 bbox: [30, 256, 64, 64]

[Assistant]
create("mesh/0.glb", loc=(0.293, -1.857, -0.076), rot=(-0.672, -1.226, -2.134), scale=2.415, des="table")
create("mesh/1.glb", loc=(0.257, -1.945, -0.047), rot=(-0.991, -0.282, -0.674), scale=2.396, des="tray")
create("mesh/2.glb", loc=(0.174, -1.86, -0.037), rot=(-1.132, -0.481, -0.736), scale=1.856, des="tray")
create("mesh/3.glb", loc=(-0.212, -1.56, 0.03), rot=(-0.618, -1.884, 1.348), scale=0.463, des="cake")
create("mesh/4.glb", loc=(0.141, -1.591, -0.033), rot=(-0.06, -2.679, 1.544), scale=0.421, des="cupcake")
create("mesh/5.glb", loc=(0.142, -1.593, -0.037), rot=(-0.097, -2.719, 1.474), scale=0.424, des="cookie")
create("mesh/6.glb", loc=(0.066, -1.704, 0.27), rot=(-1.139, -0.235, -0.32), scale=0.609, des="cupcake")
create("mesh/7.glb", loc=(0.068, -1.711, 0.276), rot=(-1.121, -0.115, -0.252), scale=0.313, des="cake")
create("mesh/8.glb", loc=(0.07, -1.637, 0.298), rot=(-1.579, -0.082, -0.127), scale=0.204, des="cookie")
create("mesh/9.glb", loc=(0.618, -1.735, -0.108), rot=(-0.408, -1.199, -1.838), scale=0.178, des="cookie")
create("mesh/10.glb", loc=(0.625, -1.737, -0.107), rot=(-0.434, -1.275, -2.005), scale=0.173, des="heart")


[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: [419, 257, 138, 84]

[Assistant] create("mesh/0.glb", loc=(-0.297, -1.9, -0.151), rot=(-0.012, -0.009, 0.393), scale=0.391, 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 2 objects detected in the scene: Object 0 bbox: [138, 285, 146, 109]
Object 1 bbox: [13, 321, 103, 105]

[Assistant]
create("mesh/0.glb", loc=(0.403, -1.182, -0.427), rot=(-0.012, 0.055, 2.592), scale=0.503, des="coffee_table")
create("mesh/1.glb", loc=(0.414, -0.556, -0.272), rot=(2.961, -0.659, -0.051), scale=0.248, des="pillow")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [218, 117, 205, 201]
Object 1 bbox: [89, 43, 287, 207]

[Assistant]
create("mesh/0.glb", loc=(-0.197, -1.839, -0.055), rot=(-0.969, 1.016, 2.154), scale=0.619, des="handbag")
create("mesh/1.glb", loc=(0.005, -2.318, 0.208), rot=(-0.481, 0.839, 2.033), scale=1.062, 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 4 objects detected in the scene: Object 0 bbox: [23, 227, 394, 193]
Object 1 bbox: [50, 368, 358, 200]
Object 2 bbox: [271, 164, 202, 90]
Object 3 bbox: [408, 244, 65, 93]

[Assistant]
create("mesh/0.glb", loc=(0.041, -1.247, 0.023), rot=(0.002, -0.425, -2.969), scale=0.911, des="bread")
create("mesh/1.glb", loc=(0.004, -1.401, -0.199), rot=(-0.052, -0.578, -2.959), scale=0.872, des="bread")
create("mesh/2.glb", loc=(-0.578, -2.39, 0.398), rot=(0.049, -0.517, -2.964), scale=0.845, des="bread")
create("mesh/3.glb", loc=(-0.783, -2.327, 0.122), rot=(0.608, 0.744, 2.941), scale=0.51, 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 5 objects detected in the scene: Object 0 bbox: [0, 73, 425, 348]
Object 1 bbox: [106, 3, 319, 79]
Object 2 bbox: [89, 205, 188, 248]
Object 3 bbox: [1, 50, 256, 91]
Object 4 bbox: [0, 346, 37, 85]

[Assistant]
create("mesh/0.glb", loc=(0.04, -4.235, 0.115), rot=(-0.086, -0.051, 1.05), scale=1.591, des="car_(automobile)")
create("mesh/1.glb", loc=(-0.279, -7.091, 0.785), rot=(-0.047, -0.034, -1.549), scale=1.167, des="car_(automobile)")
create("mesh/2.glb", loc=(0.045, -2.29, -0.022), rot=(0.069, -0.094, 1.638), scale=0.454, des="dress")
create("mesh/3.glb", loc=(0.055, -5.907, 0.481), rot=(-0.073, 0.046, -1.3), scale=0.899, des="car_(automobile)")
create("mesh/4.glb", loc=(0.198, -2.27, -0.07), rot=(0.07, -0.369, 2.987), scale=0.093, 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 7 objects detected in the scene: Object 0 bbox: [517, 321, 122, 158]
Object 1 bbox: [143, 254, 215, 100]
Object 2 bbox: [298, 228, 150, 63]
Object 3 bbox: [32, 95, 50, 98]
Object 4 bbox: [343, 111, 76, 51]
Object 5 bbox: [517, 228, 88, 95]
Object 6 bbox: [562, 268, 77, 55]

[Assistant]
create("mesh/0.glb", loc=(-0.424, -1.018, -0.252), rot=(0.002, 0.179, 2.796), scale=0.191, des="desk")
create("mesh/1.glb", loc=(0.246, -1.904, -0.211), rot=(-0.095, -0.006, -0.372), scale=0.688, des="sofa")
create("mesh/2.glb", loc=(-0.214, -2.68, -0.097), rot=(-0.019, 0.046, 2.684), scale=0.59, des="sofa")
create("mesh/3.glb", loc=(0.793, -1.989, 0.284), rot=(-0.148, 0.043, 1.15), scale=0.305, des="poster")
create("mesh/4.glb", loc=(-0.262, -2.772, 0.428), rot=(0.019, 0.234, 2.718), scale=0.335, des="monitor_(computer_equipment) computer_monitor")
create("mesh/5.glb", loc=(-0.766, -1.942, -0.142), rot=(-0.082, 0.051, 1.196), scale=0.392, des="desk")
create("mesh/6.glb", loc=(-0.663, -1.522, -0.146), rot=(-0.011, 0.054, 2.639), scale=0.176, des="desk")


[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: [1, 134, 575, 378]
Object 1 bbox: [562, 231, 63, 81]

[Assistant]
create("mesh/0.glb", loc=(-0.575, -1.909, -0.079), rot=(0.028, 0.001, 1.027), scale=4.068, des="train_(railroad_vehicle)")
create("mesh/1.glb", loc=(-2.059, -4.079, -0.115), rot=(-0.117, 0.058, -0.646), scale=1.507, 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: [213, 0, 28, 53]

[Assistant] create("mesh/0.glb", loc=(0.21, -2.427, 0.429), rot=(-0.022, 0.001, 1.583), scale=0.13, 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 1 objects detected in the scene: Object 0 bbox: [10, 118, 34, 97]

[Assistant] create("mesh/0.glb", loc=(0.197, -0.956, 0.02), rot=(-0.009, 0.21, -2.816), scale=0.102, des="traffic_light")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [0, 0, 311, 334]
Object 1 bbox: [250, 0, 249, 334]
Object 2 bbox: [237, 213, 62, 78]
Object 3 bbox: [8, 71, 38, 72]

[Assistant]
create("mesh/0.glb", loc=(-0.76, -2.556, 0.295), rot=(-0.618, -0.332, -0.504), scale=2.603, des="car_(automobile)")
create("mesh/1.glb", loc=(-0.111, -0.637, 0.001), rot=(-0.28, -0.361, -2.499), scale=0.254, des="parking_meter")
create("mesh/2.glb", loc=(-0.055, -1.804, -0.197), rot=(1.425, 1.601, -2.175), scale=0.15, des="taillight")
create("mesh/3.glb", loc=(0.556, -2.471, 0.136), rot=(-1.541, 1.788, -2.003), scale=0.333, 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 1 objects detected in the scene: Object 0 bbox: [225, 389, 201, 130]

[Assistant] create("mesh/0.glb", loc=(-0.664, -2.812, -0.723), rot=(-0.002, 0.022, 3.023), scale=1.274, des="bathtub")


[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: [44, 1, 297, 374]
Object 1 bbox: [361, 249, 56, 104]
Object 2 bbox: [428, 247, 47, 103]

[Assistant]
create("mesh/0.glb", loc=(0.222, -0.975, 0.09), rot=(0.043, -0.044, 1.681), scale=0.747, des="blender")
create("mesh/1.glb", loc=(-0.157, -1.1, -0.191), rot=(-0.007, 0.046, -3.088), scale=0.223, des="glass_(drink_container)")
create("mesh/2.glb", loc=(-0.299, -1.126, -0.191), rot=(-0.008, 0.075, -3.106), scale=0.233, des="glass_(drink_container)")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [0, 201, 139, 16]
Object 1 bbox: [211, 209, 49, 62]
Object 2 bbox: [341, 202, 51, 63]

[Assistant]
create("mesh/0.glb", loc=(0.935, -2.291, -0.121), rot=(0.045, -0.046, 1.626), scale=0.529, des="dumpster")
create("mesh/1.glb", loc=(0.086, -0.695, -0.064), rot=(-0.066, -0.022, -2.791), scale=0.087, des="person")
create("mesh/2.glb", loc=(-0.06, -0.714, -0.053), rot=(-0.032, -0.064, 3.029), scale=0.075, 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 3 objects detected in the scene: Object 0 bbox: [252, 132, 343, 199]
Object 1 bbox: [260, 233, 72, 77]
Object 2 bbox: [501, 237, 94, 94]

[Assistant]
create("mesh/0.glb", loc=(-0.088, -0.969, 0.002), rot=(-0.169, -0.123, -1.861), scale=0.307, des="motorcycle")
create("mesh/1.glb", loc=(0.016, -1.02, -0.031), rot=(-0.023, -0.041, -1.928), scale=0.073, des="wheel")
create("mesh/2.glb", loc=(-0.202, -0.928, -0.04), rot=(-1.288, -2.498, 0.18), scale=0.083, 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 13 objects detected in the scene: Object 0 bbox: [241, 92, 392, 305]
Object 1 bbox: [248, 162, 386, 237]
Object 2 bbox: [460, 123, 178, 107]
Object 3 bbox: [2, 83, 139, 84]
Object 4 bbox: [2, 83, 140, 84]
Object 5 bbox: [257, 103, 122, 37]
Object 6 bbox: [257, 103, 122, 38]
Object 7 bbox: [0, 72, 107, 50]
Object 8 bbox: [467, 99, 110, 39]
Object 9 bbox: [122, 59, 62, 38]
Object 10 bbox: [118, 86, 64, 37]
Object 11 bbox: [461, 331, 80, 28]
Object 12 bbox: [118, 86, 64, 37]

[Assistant]
create("mesh/0.glb", loc=(-0.148, -1.085, 0.068), rot=(-0.149, -0.499, -2.513), scale=0.878, des="police_cruiser")
create("mesh/1.glb", loc=(-0.162, -1.117, 0.009), rot=(-0.074, -0.498, -2.541), scale=0.848, des="car_(automobile)")
create("mesh/2.glb", loc=(-0.733, -1.953, 0.194), rot=(-0.378, -0.163, -0.813), scale=0.603, des="car_(automobile)")
create("mesh/3.glb", loc=(1.024, -2.745, 0.484), rot=(-0.127, -0.314, -2.277), scale=0.707, des="police_cruiser")
create("mesh/4.glb", loc=(1.022, -2.755, 0.488), rot=(-0.127, -0.305, -2.287), scale=0.717, des="car_(automobile)")
create("mesh/5.glb", loc=(-0.038, -3.683, 0.636), rot=(-0.202, 0.139, 1.483), scale=0.685, des="car_(automobile)")
create("mesh/6.glb", loc=(-0.041, -3.681, 0.647), rot=(-0.188, 0.117, 1.471), scale=0.669, des="police_cruiser")
create("mesh/7.glb", loc=(1.545, -3.904, 0.801), rot=(-0.129, -0.261, -2.137), scale=0.732, des="car_(automobile)")
create("mesh/8.glb", loc=(-1.238, -3.761, 0.628), rot=(-0.345, 0.051, 0.725), scale=0.668, des="car_(automobile)")
create("mesh/9.glb", loc=(1.458, -6.01, 1.477), rot=(-0.244, 0.069, 0.794), scale=0.664, des="car_(automobile)")
create("mesh/10.glb", loc=(1.131, -4.607, 0.957), rot=(-0.091, -0.332, -2.514), scale=0.629, des="car_(automobile)")
create("mesh/11.glb", loc=(-0.224, -0.792, -0.138), rot=(0.112, -0.072, -2.346), scale=0.088, des="headlight")
create("mesh/12.glb", loc=(1.134, -4.595, 0.95), rot=(-0.092, -0.367, -2.518), scale=0.61, des="pickup_truck")


[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: [183, 259, 284, 43]

[Assistant] create("mesh/0.glb", loc=(-0.023, -1.378, -0.201), rot=(-0.032, 0.003, 1.524), scale=0.75, 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: [238, 397, 86, 71]
Object 1 bbox: [333, 388, 85, 49]
Object 2 bbox: [382, 283, 55, 96]

[Assistant]
create("mesh/0.glb", loc=(0.014, -0.522, -0.088), rot=(0.039, -0.03, -3.042), scale=0.047, des="skirt")
create("mesh/1.glb", loc=(-0.038, -0.538, -0.09), rot=(0.036, 0.051, -3.119), scale=0.049, des="skirt")
create("mesh/2.glb", loc=(-0.053, -0.522, -0.049), rot=(-0.164, 0.279, -2.263), scale=0.043, 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: [55, 88, 335, 550]
Object 1 bbox: [54, 96, 336, 331]
Object 2 bbox: [230, 15, 128, 53]

[Assistant]
create("mesh/0.glb", loc=(-0.006, -0.684, -0.115), rot=(0.022, -0.616, 3.044), scale=0.511, des="street_sign")
create("mesh/1.glb", loc=(-0.014, -0.713, 0.026), rot=(-2.997, 0.04, -0.03), scale=0.207, des="stop_sign")
create("mesh/2.glb", loc=(-0.055, -0.782, 0.177), rot=(-0.031, -1.242, -2.8), scale=0.078, des="solar_array")


[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: [90, 399, 44, 77]
Object 1 bbox: [163, 348, 44, 57]

[Assistant]
create("mesh/0.glb", loc=(0.173, -1.171, -0.234), rot=(0.38, 1.335, 1.44), scale=0.181, des="short_pants")
create("mesh/1.glb", loc=(0.06, -1.168, -0.111), rot=(0.306, 1.749, -2.083), scale=0.16, 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 4 objects detected in the scene: Object 0 bbox: [396, 525, 103, 86]
Object 1 bbox: [282, 389, 287, 222]
Object 2 bbox: [292, 512, 43, 99]
Object 3 bbox: [349, 507, 49, 84]

[Assistant]
create("mesh/0.glb", loc=(-0.24, -1.186, -0.447), rot=(0.01, 0.122, -3.092), scale=0.184, des="bucket")
create("mesh/1.glb", loc=(-0.198, -1.81, -0.391), rot=(-0.041, -0.525, -2.96), scale=0.768, des="hose")
create("mesh/2.glb", loc=(-0.016, -1.216, -0.441), rot=(0.072, -0.389, 2.649), scale=0.166, des="boot")
create("mesh/3.glb", loc=(-0.131, -1.31, -0.441), rot=(0.017, -0.003, 2.57), scale=0.134, des="boot")


[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, 0, 72, 29]
Object 1 bbox: [27, 0, 74, 32]
Object 2 bbox: [62, 7, 62, 26]
Object 3 bbox: [125, 81, 17, 20]
Object 4 bbox: [65, 62, 18, 13]

[Assistant]
create("mesh/0.glb", loc=(0.578, -3.269, 0.601), rot=(-0.149, 0.128, 2.636), scale=1.337, des="awning")
create("mesh/1.glb", loc=(0.103, -4.101, 0.734), rot=(-0.129, -0.32, -0.773), scale=1.202, des="awning")
create("mesh/2.glb", loc=(-0.493, -7.46, 0.88), rot=(0.32, -0.555, -1.797), scale=3.324, des="awning")
create("mesh/3.glb", loc=(-0.39, -1.88, -0.212), rot=(-0.053, -0.128, 3.056), scale=0.281, des="short_pants")
create("mesh/4.glb", loc=(0.014, -0.644, -0.027), rot=(-0.873, 0.318, 2.932), scale=0.044, des="doughnut")


[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: [89, 175, 236, 139]

[Assistant] create("mesh/0.glb", loc=(0.28, -2.147, -0.118), rot=(-0.015, -0.024, 1.638), scale=0.727, des="bicycle")


[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: [119, 279, 227, 119]
Object 1 bbox: [511, 145, 65, 43]

[Assistant]
create("mesh/0.glb", loc=(0.104, -1.613, -0.277), rot=(-0.029, -0.127, 3.035), scale=0.505, des="elephant")
create("mesh/1.glb", loc=(-0.427, -2.481, 0.04), rot=(-0.518, 1.314, -2.779), scale=0.144, des="goggles")


[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: [105, 37, 467, 340]

[Assistant] create("mesh/0.glb", loc=(-0.65, -2.638, 0.145), rot=(0.083, -0.262, 2.393), scale=3.79, 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: [39, 240, 168, 152]
Object 1 bbox: [115, 419, 141, 80]
Object 2 bbox: [283, 228, 40, 37]

[Assistant]
create("mesh/0.glb", loc=(0.067, -0.827, -0.068), rot=(-0.0, 0.803, 3.034), scale=0.238, des="baseball_glove")
create("mesh/1.glb", loc=(-0.0, -0.953, -0.275), rot=(0.027, -0.067, 2.948), scale=0.17, des="short_pants")
create("mesh/2.glb", loc=(-0.606, -3.661, 0.001), rot=(-0.015, -0.049, -3.105), scale=0.191, 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 3 objects detected in the scene: Object 0 bbox: [390, 512, 45, 99]
Object 1 bbox: [233, 414, 40, 87]
Object 2 bbox: [98, 442, 37, 82]

[Assistant]
create("mesh/0.glb", loc=(-0.187, -1.718, -0.255), rot=(0.189, -0.173, 1.395), scale=0.111, des="traffic_light")
create("mesh/1.glb", loc=(-0.015, -1.97, -0.161), rot=(0.027, -0.054, 2.008), scale=0.11, des="traffic_light")
create("mesh/2.glb", loc=(0.167, -2.221, -0.217), rot=(0.123, -0.169, 1.991), scale=0.121, des="traffic_light")


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

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [337, 282, 48, 92]

[Assistant] create("mesh/0.glb", loc=(-0.268, -1.18, -0.03), rot=(1.912, 0.05, 1.566), scale=0.213, des="skateboard")


[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: [3, 86, 265, 269]
Object 1 bbox: [333, 63, 197, 282]

[Assistant]
create("mesh/0.glb", loc=(0.171, -1.601, -0.011), rot=(-0.066, -0.124, -1.349), scale=0.269, des="person")
create("mesh/1.glb", loc=(-0.107, -1.742, 0.009), rot=(0.007, -0.138, 3.05), scale=0.28, 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 4 objects detected in the scene: Object 0 bbox: [157, 151, 327, 274]
Object 1 bbox: [445, 202, 99, 181]
Object 2 bbox: [137, 140, 98, 263]
Object 3 bbox: [384, 156, 119, 270]

[Assistant]
create("mesh/0.glb", loc=(-0.004, -1.58, -0.051), rot=(0.068, 0.398, -2.945), scale=0.217, des="sweatshirt")
create("mesh/1.glb", loc=(-0.179, -2.687, -0.093), rot=(0.025, -0.015, 1.312), scale=0.195, des="sweatshirt")
create("mesh/2.glb", loc=(0.102, -2.384, -0.082), rot=(-0.061, -0.114, -0.369), scale=0.283, des="sweatshirt")
create("mesh/3.glb", loc=(-0.08, -1.603, -0.056), rot=(-0.262, 0.308, -1.375), scale=0.18, 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 2 objects detected in the scene: Object 0 bbox: [68, 179, 217, 129]
Object 1 bbox: [280, 172, 201, 142]

[Assistant]
create("mesh/0.glb", loc=(0.454, -4.166, 0.005), rot=(0.053, 0.047, -1.735), scale=0.871, des="zebra")
create("mesh/1.glb", loc=(-0.211, -3.644, -0.013), rot=(0.099, -0.046, 1.161), scale=0.728, 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 4 objects detected in the scene: Object 0 bbox: [22, 7, 462, 305]
Object 1 bbox: [313, 220, 242, 161]
Object 2 bbox: [323, 7, 174, 62]
Object 3 bbox: [194, 317, 154, 95]

[Assistant]
create("mesh/0.glb", loc=(0.077, -1.942, 0.048), rot=(0.529, 0.061, 2.851), scale=0.663, des="umbrella")
create("mesh/1.glb", loc=(-0.138, -1.855, -0.078), rot=(0.018, -0.466, 3.075), scale=0.283, des="dress")
create("mesh/2.glb", loc=(-0.412, -6.062, 0.693), rot=(0.037, -0.106, -1.24), scale=0.709, des="trousers")
create("mesh/3.glb", loc=(0.045, -1.763, -0.177), rot=(0.08, 0.201, -2.339), scale=0.257, 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 4 objects detected in the scene: Object 0 bbox: [27, 0, 304, 456]
Object 1 bbox: [0, 358, 478, 280]
Object 2 bbox: [0, 421, 235, 218]
Object 3 bbox: [275, 407, 130, 137]

[Assistant]
create("mesh/0.glb", loc=(0.138, -1.742, 0.249), rot=(-0.016, 0.499, 2.978), scale=1.384, des="lamp")
create("mesh/1.glb", loc=(0.207, -1.723, -0.464), rot=(-0.096, -0.658, -2.6), scale=1.361, des="table")
create("mesh/2.glb", loc=(0.295, -1.274, -0.555), rot=(0.218, -2.894, 0.661), scale=0.72, des="book")
create("mesh/3.glb", loc=(-0.242, -1.456, -0.367), rot=(0.045, 0.29, 3.115), scale=0.321, des="clock")


[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: [54, 155, 255, 259]
Object 1 bbox: [288, 225, 209, 254]
Object 2 bbox: [155, 157, 93, 118]

[Assistant]
create("mesh/0.glb", loc=(0.213, -1.134, -0.128), rot=(-0.041, -0.084, -2.737), scale=0.637, des="sweater")
create("mesh/1.glb", loc=(-0.122, -0.954, -0.255), rot=(0.128, 0.131, -2.827), scale=0.566, des="raincoat")
create("mesh/2.glb", loc=(0.199, -1.153, 0.034), rot=(-1.868, -0.069, -0.102), scale=0.218, des="scarf")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 5 objects detected in the scene: Object 0 bbox: [135, 159, 154, 190]
Object 1 bbox: [445, 48, 34, 352]
Object 2 bbox: [299, 69, 71, 57]
Object 3 bbox: [183, 269, 39, 281]
Object 4 bbox: [114, 41, 37, 58]

[Assistant]
create("mesh/0.glb", loc=(0.027, -0.946, 0.077), rot=(-0.132, -0.429, -2.534), scale=0.329, des="ski_parka")
create("mesh/1.glb", loc=(-0.362, -0.899, 0.136), rot=(-0.341, 0.323, 1.217), scale=0.492, des="ski_parka")
create("mesh/2.glb", loc=(-0.474, -2.905, 1.029), rot=(-0.481, 0.743, 0.897), scale=0.387, des="ski_parka")
create("mesh/3.glb", loc=(0.052, -0.874, -0.129), rot=(0.345, -1.786, -2.164), scale=0.406, des="ski_pole")
create("mesh/4.glb", loc=(0.653, -4.013, 1.604), rot=(-0.621, -0.014, 0.274), scale=0.394, des="ski_parka")


[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: [289, 168, 61, 119]

[Assistant] create("mesh/0.glb", loc=(-0.07, -0.553, 0.08), rot=(0.222, 0.228, -1.317), scale=0.094, des="traffic_light")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 5 objects detected in the scene: Object 0 bbox: [0, 124, 333, 346]
Object 1 bbox: [38, 377, 258, 122]
Object 2 bbox: [213, 217, 116, 148]
Object 3 bbox: [20, 233, 119, 116]
Object 4 bbox: [127, 82, 51, 54]

[Assistant]
create("mesh/0.glb", loc=(0.141, -1.779, -0.175), rot=(0.029, 0.797, 3.011), scale=1.549, des="stove")
create("mesh/1.glb", loc=(-0.019, -1.316, -0.497), rot=(0.007, 0.642, 3.046), scale=0.646, des="pizza")
create("mesh/2.glb", loc=(-0.308, -1.564, -0.109), rot=(-0.435, 0.326, 1.074), scale=0.477, des="kettle")
create("mesh/3.glb", loc=(0.256, -1.657, -0.131), rot=(-0.132, -0.732, -2.61), scale=0.425, des="kettle")
create("mesh/4.glb", loc=(0.042, -1.789, 0.482), rot=(2.786, 0.414, -0.058), scale=0.198, des="timer")


[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: [45, 75, 419, 452]
Object 1 bbox: [8, 305, 499, 272]

[Assistant]
create("mesh/0.glb", loc=(0.004, -1.888, 0.093), rot=(-0.271, -1.004, -2.234), scale=0.855, des="birthday_cake")
create("mesh/1.glb", loc=(-0.018, -2.282, -0.143), rot=(-0.051, 1.031, 2.912), scale=1.326, des="plate")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 8 objects detected in the scene: Object 0 bbox: [15, 256, 231, 383]
Object 1 bbox: [223, 252, 199, 232]
Object 2 bbox: [0, 492, 252, 146]
Object 3 bbox: [48, 164, 250, 236]
Object 4 bbox: [48, 164, 249, 237]
Object 5 bbox: [215, 392, 116, 83]
Object 6 bbox: [0, 283, 103, 78]
Object 7 bbox: [6, 379, 80, 38]

[Assistant]
create("mesh/0.glb", loc=(0.126, -1.737, -0.176), rot=(-0.001, -0.198, 2.571), scale=0.77, des="pajamas")
create("mesh/1.glb", loc=(-0.171, -1.558, -0.082), rot=(-0.085, 0.467, 2.507), scale=0.353, des="shirt")
create("mesh/2.glb", loc=(0.195, -1.938, -0.416), rot=(0.034, -0.057, 2.47), scale=0.506, des="stool")
create("mesh/3.glb", loc=(0.045, -1.853, 0.035), rot=(-0.469, 0.192, 2.29), scale=0.501, des="shirt")
create("mesh/4.glb", loc=(0.048, -1.849, 0.038), rot=(-0.386, 0.077, 2.261), scale=0.513, des="pajamas")
create("mesh/5.glb", loc=(-0.078, -1.42, -0.156), rot=(-1.027, -0.185, -0.425), scale=0.191, des="steering_wheel")
create("mesh/6.glb", loc=(0.454, -3.17, -0.057), rot=(0.041, -0.05, 1.268), scale=0.471, des="box")
create("mesh/7.glb", loc=(0.273, -1.763, -0.129), rot=(0.424, -0.004, -2.885), scale=0.152, des="steering_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 3 objects detected in the scene: Object 0 bbox: [384, 308, 86, 55]
Object 1 bbox: [434, 303, 70, 57]
Object 2 bbox: [126, 288, 64, 50]

[Assistant]
create("mesh/0.glb", loc=(-0.215, -1.145, -0.177), rot=(-0.034, -0.005, -1.471), scale=0.171, des="cow")
create("mesh/1.glb", loc=(-0.302, -1.158, -0.161), rot=(0.058, -0.063, 1.172), scale=0.166, des="cow")
create("mesh/2.glb", loc=(0.421, -1.651, -0.186), rot=(0.096, -0.212, 2.263), scale=0.216, des="cow")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [244, 0, 49, 420]
Object 1 bbox: [15, 342, 136, 59]
Object 2 bbox: [291, 181, 48, 93]

[Assistant]
create("mesh/0.glb", loc=(0.046, -0.854, 0.021), rot=(0.123, 0.172, -1.221), scale=0.485, des="telephone_pole")
create("mesh/1.glb", loc=(0.701, -2.485, -0.503), rot=(0.144, -0.073, 1.073), scale=0.488, des="car_(automobile)")
create("mesh/2.glb", loc=(-0.001, -2.115, -0.064), rot=(0.212, -0.335, 3.023), scale=0.246, des="signboard")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [31, 337, 248, 193]
Object 1 bbox: [169, 275, 189, 157]
Object 2 bbox: [0, 402, 118, 179]
Object 3 bbox: [323, 304, 49, 82]

[Assistant]
create("mesh/0.glb", loc=(0.134, -0.995, -0.161), rot=(-1.449, 0.375, -0.599), scale=0.278, des="laptop_computer")
create("mesh/1.glb", loc=(-0.035, -1.344, -0.039), rot=(-0.228, -0.116, -0.375), scale=0.376, des="sweater")
create("mesh/2.glb", loc=(0.175, -0.665, -0.15), rot=(-0.164, -0.127, -0.686), scale=0.171, des="sweater")
create("mesh/3.glb", loc=(-0.276, -1.641, -0.123), rot=(-0.051, -0.006, -0.534), scale=0.246, des="laptop_computer")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [527, 283, 112, 196]
Object 1 bbox: [523, 223, 79, 76]
Object 2 bbox: [140, 12, 163, 71]

[Assistant]
create("mesh/0.glb", loc=(-0.631, -1.292, -0.365), rot=(-0.031, -0.057, -1.698), scale=0.509, des="television_set")
create("mesh/1.glb", loc=(-0.751, -1.645, -0.072), rot=(-1.503, 0.112, -0.7), scale=0.246, des="fan")
create("mesh/2.glb", loc=(0.229, -1.381, 0.473), rot=(-0.029, -0.023, 1.882), scale=0.494, des="fan")


[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: [269, 85, 140, 188]
Object 1 bbox: [283, 24, 99, 71]
Object 2 bbox: [29, 280, 120, 176]
Object 3 bbox: [60, 24, 58, 75]
Object 4 bbox: [332, 0, 76, 62]

[Assistant]
create("mesh/0.glb", loc=(-0.109, -1.42, 0.03), rot=(-0.393, 0.369, 1.536), scale=0.181, des="jersey")
create("mesh/1.glb", loc=(-0.109, -1.4, 0.152), rot=(-0.296, 0.289, 1.77), scale=0.085, des="helmet")
create("mesh/2.glb", loc=(0.087, -1.349, -0.094), rot=(-1.189, -0.583, -0.309), scale=0.174, des="baseball_bat")
create("mesh/3.glb", loc=(0.306, -5.179, 0.504), rot=(-0.063, -0.015, 2.986), scale=0.228, des="tripod")
create("mesh/4.glb", loc=(-0.461, -4.601, 0.576), rot=(0.161, -1.604, 2.343), scale=0.466, des="jersey")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 2 objects detected in the scene: Object 0 bbox: [110, 202, 387, 171]
Object 1 bbox: [326, 91, 157, 112]

[Assistant]
create("mesh/0.glb", loc=(-0.195, -1.447, -0.407), rot=(-1.865, 2.243, -0.701), scale=1.681, des="cushion")
create("mesh/1.glb", loc=(-0.407, -1.467, 0.122), rot=(-1.528, -1.42, -1.982), scale=0.551, des="remote_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 2 objects detected in the scene: Object 0 bbox: [126, 281, 279, 198]
Object 1 bbox: [283, 269, 169, 157]

[Assistant]
create("mesh/0.glb", loc=(0.026, -0.588, -0.096), rot=(-0.025, -0.043, -1.794), scale=0.23, des="motor_scooter")
create("mesh/1.glb", loc=(-0.06, -0.758, -0.112), rot=(-0.032, 0.077, -2.01), scale=0.221, des="motor_scooter")


[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, 640, 350]
Object 1 bbox: [49, 249, 235, 139]
Object 2 bbox: [271, 249, 149, 131]
Object 3 bbox: [0, 284, 68, 104]

[Assistant]
create("mesh/0.glb", loc=(-0.026, -1.939, 0.09), rot=(0.009, 0.027, 3.141), scale=2.125, des="headboard")
create("mesh/1.glb", loc=(0.368, -1.832, -0.251), rot=(0.125, -1.409, -2.681), scale=0.595, des="pillow")
create("mesh/2.glb", loc=(-0.127, -1.771, -0.271), rot=(-1.173, 0.928, 2.044), scale=0.454, des="pillow")
create("mesh/3.glb", loc=(0.645, -1.788, -0.303), rot=(-0.954, -0.128, 0.069), scale=0.317, des="pillow")


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

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [114, 210, 148, 139]

[Assistant] create("mesh/0.glb", loc=(0.258, -2.539, -0.401), rot=(-0.837, -1.021, -2.141), scale=0.61, des="toilet")


[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: [176, 206, 98, 151]
Object 1 bbox: [163, 373, 101, 126]
Object 2 bbox: [26, 45, 71, 122]
Object 3 bbox: [256, 404, 57, 95]
Object 4 bbox: [255, 404, 59, 95]
Object 5 bbox: [238, 155, 94, 80]
Object 6 bbox: [139, 204, 44, 73]
Object 7 bbox: [79, 70, 40, 108]
Object 8 bbox: [283, 90, 49, 52]
Object 9 bbox: [185, 381, 63, 93]
Object 10 bbox: [255, 49, 34, 47]

[Assistant]
create("mesh/0.glb", loc=(-0.115, -1.01, -0.06), rot=(1.739, 2.008, -0.513), scale=0.353, des="suitcase")
create("mesh/1.glb", loc=(-0.069, -0.785, -0.298), rot=(-0.071, 1.169, -2.856), scale=0.266, des="tote_bag")
create("mesh/2.glb", loc=(0.417, -1.929, 0.53), rot=(-0.44, -0.99, -1.726), scale=0.661, des="coat")
create("mesh/3.glb", loc=(-0.202, -0.825, -0.346), rot=(-0.386, -0.101, -1.499), scale=0.189, des="plastic_bag")
create("mesh/4.glb", loc=(-0.203, -0.819, -0.347), rot=(-0.51, -0.15, -1.489), scale=0.182, des="tote_bag")
create("mesh/5.glb", loc=(-0.316, -1.185, 0.156), rot=(-0.306, -0.325, 0.277), scale=0.7, des="coat")
create("mesh/6.glb", loc=(-0.005, -1.292, 0.033), rot=(-0.344, 0.22, 1.834), scale=0.216, des="suitcase")
create("mesh/7.glb", loc=(0.328, -2.371, 0.641), rot=(-0.394, -0.646, -1.37), scale=0.663, des="coat")
create("mesh/8.glb", loc=(-0.94, -2.902, 0.851), rot=(0.557, -0.761, -2.915), scale=0.372, des="coat")
create("mesh/9.glb", loc=(-0.078, -0.758, -0.273), rot=(-0.149, 0.266, -3.053), scale=0.153, des="strap")
create("mesh/10.glb", loc=(-1.661, -6.993, 2.719), rot=(-0.925, 1.036, 1.344), scale=0.873, des="signboard")


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

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [366, 278, 65, 52]

[Assistant] create("mesh/0.glb", loc=(-0.117, -0.732, -0.127), rot=(0.055, -0.011, 2.534), scale=0.099, des="generator")


[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: [292, 211, 143, 215]
Object 1 bbox: [292, 212, 108, 115]
Object 2 bbox: [250, 0, 99, 55]
Object 3 bbox: [465, 249, 59, 101]

[Assistant]
create("mesh/0.glb", loc=(-0.177, -1.827, -0.463), rot=(-0.121, -0.544, -2.852), scale=0.841, des="toilet")
create("mesh/1.glb", loc=(-0.1, -1.99, -0.237), rot=(-0.471, 0.076, 0.215), scale=0.445, des="cistern")
create("mesh/2.glb", loc=(0.06, -1.71, 0.599), rot=(0.238, -3.026, 0.435), scale=0.291, des="mirror")
create("mesh/3.glb", loc=(-0.552, -1.683, -0.319), rot=(-0.418, -0.41, -1.255), scale=0.364, des="toilet_tissue")


[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: [208, 41, 273, 290]

[Assistant] create("mesh/0.glb", loc=(-0.04, -1.54, 0.035), rot=(-0.046, 0.039, 0.413), scale=0.476, des="bull")


[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: [114, 444, 193, 134]

[Assistant] create("mesh/0.glb", loc=(-0.012, -2.022, -0.262), rot=(-0.052, 0.121, 3.054), scale=0.28, 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 1 objects detected in the scene: Object 0 bbox: [0, 272, 265, 118]

[Assistant] create("mesh/0.glb", loc=(0.503, -1.433, -0.284), rot=(0.056, -1.928, -2.365), scale=0.741, des="computer_keyboard")


[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: [299, 151, 93, 111]

[Assistant] create("mesh/0.glb", loc=(-0.032, -1.962, 0.008), rot=(0.02, 0.502, 1.194), scale=0.199, 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 3 objects detected in the scene: Object 0 bbox: [78, 14, 80, 78]
Object 1 bbox: [277, 14, 92, 82]
Object 2 bbox: [24, 158, 179, 141]

[Assistant]
create("mesh/0.glb", loc=(0.143, -1.962, 0.132), rot=(0.15, -0.304, 2.876), scale=0.118, des="helmet")
create("mesh/1.glb", loc=(-0.099, -2.148, 0.148), rot=(0.439, -0.509, 1.833), scale=0.127, des="helmet")
create("mesh/2.glb", loc=(0.079, -1.846, -0.11), rot=(0.941, 1.092, 2.45), scale=0.337, des="baseball_bat")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [103, 85, 291, 215]
Object 1 bbox: [309, 20, 134, 220]
Object 2 bbox: [208, 168, 52, 42]

[Assistant]
create("mesh/0.glb", loc=(0.007, -1.316, -0.015), rot=(-0.086, -0.013, 0.628), scale=0.403, des="cab_(taxi)")
create("mesh/1.glb", loc=(-0.123, -1.171, 0.036), rot=(0.158, -0.067, -2.718), scale=0.217, des="box")
create("mesh/2.glb", loc=(0.012, -1.259, -0.035), rot=(-0.102, -0.07, -1.218), scale=0.061, 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: [0, 209, 158, 388]
Object 1 bbox: [236, 272, 46, 220]

[Assistant]
create("mesh/0.glb", loc=(0.189, -1.646, -0.399), rot=(0.08, -2.708, -0.302), scale=1.234, des="necktie")
create("mesh/1.glb", loc=(-0.176, -2.788, -0.304), rot=(0.899, -2.977, -0.297), scale=0.513, 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 1 objects detected in the scene: Object 0 bbox: [405, 119, 15, 205]

[Assistant] create("mesh/0.glb", loc=(-0.249, -3.127, -0.04), rot=(0.009, 0.355, -3.005), scale=0.504, 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 7 objects detected in the scene: Object 0 bbox: [120, 0, 92, 322]
Object 1 bbox: [208, 5, 120, 322]
Object 2 bbox: [214, 376, 106, 122]
Object 3 bbox: [0, 38, 24, 98]
Object 4 bbox: [201, 0, 16, 350]
Object 5 bbox: [24, 57, 38, 81]
Object 6 bbox: [76, 22, 31, 90]

[Assistant]
create("mesh/0.glb", loc=(0.01, -1.867, 0.123), rot=(0.029, -0.143, -2.946), scale=0.537, des="sail")
create("mesh/1.glb", loc=(-0.09, -1.861, 0.101), rot=(0.28, -1.927, 2.374), scale=0.522, des="sail")
create("mesh/2.glb", loc=(-0.132, -1.734, -0.222), rot=(1.482, -0.065, -0.149), scale=0.743, des="sail")
create("mesh/3.glb", loc=(0.476, -3.839, 0.447), rot=(0.021, -0.109, -2.813), scale=0.289, des="sail")
create("mesh/4.glb", loc=(-0.036, -1.872, 0.11), rot=(-0.08, 0.021, -0.247), scale=0.527, des="mast")
create("mesh/5.glb", loc=(0.398, -3.875, 0.399), rot=(-0.442, -0.065, -0.077), scale=0.237, des="sail")
create("mesh/6.glb", loc=(0.263, -4.454, 0.567), rot=(0.255, -0.184, -2.993), scale=0.309, des="sail")


[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: [196, 194, 210, 100]
Object 1 bbox: [3, 101, 634, 19]
Object 2 bbox: [233, 151, 137, 65]
Object 3 bbox: [283, 242, 67, 41]
Object 4 bbox: [451, 79, 51, 54]
Object 5 bbox: [458, 130, 47, 57]

[Assistant]
create("mesh/0.glb", loc=(0.022, -1.232, -0.067), rot=(-0.02, 0.14, -3.084), scale=0.257, des="trousers")
create("mesh/1.glb", loc=(-0.091, -2.867, 0.362), rot=(0.013, 0.119, 3.06), scale=2.219, des="crossbar")
create("mesh/2.glb", loc=(0.006, -1.228, 0.009), rot=(0.028, 0.127, 3.134), scale=0.198, des="jersey")
create("mesh/3.glb", loc=(0.004, -1.161, -0.074), rot=(0.797, 0.554, -1.748), scale=0.085, des="baseball_glove")
create("mesh/4.glb", loc=(-0.688, -3.726, 0.448), rot=(0.001, 0.042, -3.096), scale=0.275, des="jersey")
create("mesh/5.glb", loc=(-0.566, -2.978, 0.187), rot=(-0.22, -0.961, 2.907), scale=0.217, 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 2 objects detected in the scene: Object 0 bbox: [293, 114, 245, 178]
Object 1 bbox: [283, 39, 197, 192]

[Assistant]
create("mesh/0.glb", loc=(-0.185, -1.694, 0.087), rot=(2.157, 0.71, -0.819), scale=1.169, des="surfboard")
create("mesh/1.glb", loc=(-0.222, -1.642, 0.219), rot=(-0.282, 1.537, 1.755), scale=0.999, 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 3 objects detected in the scene: Object 0 bbox: [0, 449, 40, 190]
Object 1 bbox: [138, 286, 60, 145]
Object 2 bbox: [144, 336, 22, 101]

[Assistant]
create("mesh/0.glb", loc=(0.522, -1.232, -0.491), rot=(-0.038, -0.034, -1.549), scale=0.484, des="trash_can")
create("mesh/1.glb", loc=(0.278, -2.238, -0.16), rot=(-0.054, -0.021, -1.559), scale=0.596, des="jacket")
create("mesh/2.glb", loc=(0.251, -1.515, -0.197), rot=(-0.02, -0.024, -1.554), scale=0.266, des="microwave_oven")


[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: [59, 0, 110, 441]
Object 1 bbox: [208, 448, 371, 30]

[Assistant]
create("mesh/0.glb", loc=(1.384, -4.963, 0.205), rot=(0.121, 0.429, -2.402), scale=3.584, des="clock_tower")
create("mesh/1.glb", loc=(-0.054, -0.299, -0.109), rot=(0.035, 0.206, -0.743), scale=0.165, 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 3 objects detected in the scene: Object 0 bbox: [226, 44, 52, 48]
Object 1 bbox: [50, 81, 41, 37]
Object 2 bbox: [9, 86, 35, 28]

[Assistant]
create("mesh/0.glb", loc=(-0.009, -1.071, 0.039), rot=(-0.172, 0.119, 0.355), scale=0.085, des="jersey")
create("mesh/1.glb", loc=(0.214, -1.163, 0.01), rot=(-0.012, 0.053, -2.464), scale=0.064, des="jersey")
create("mesh/2.glb", loc=(0.403, -1.725, 0.011), rot=(0.029, 0.198, -2.947), scale=0.074, des="jersey")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [266, 271, 136, 152]
Object 1 bbox: [385, 333, 41, 107]
Object 2 bbox: [107, 254, 208, 290]
Object 3 bbox: [295, 159, 58, 86]

[Assistant]
create("mesh/0.glb", loc=(-0.546, -3.283, -0.09), rot=(-0.143, 0.008, -1.037), scale=0.937, des="motorcycle")
create("mesh/1.glb", loc=(-0.612, -2.936, -0.197), rot=(-0.127, -0.009, -0.358), scale=0.506, des="motorcycle")
create("mesh/2.glb", loc=(-0.045, -1.369, -0.115), rot=(-1.321, -0.376, -0.641), scale=0.535, des="strap")
create("mesh/3.glb", loc=(-0.434, -3.864, 0.349), rot=(-0.673, 0.411, 2.929), scale=0.481, des="motorcycle")


[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: [6, 175, 145, 121]
Object 1 bbox: [378, 157, 137, 114]
Object 2 bbox: [148, 51, 102, 349]
Object 3 bbox: [345, 95, 91, 153]
Object 4 bbox: [268, 131, 79, 120]

[Assistant]
create("mesh/0.glb", loc=(0.434, -2.234, 0.016), rot=(-0.092, 0.165, -3.083), scale=0.474, des="truck")
create("mesh/1.glb", loc=(-0.288, -2.507, 0.018), rot=(-0.047, -0.019, 0.038), scale=0.49, des="truck")
create("mesh/2.glb", loc=(0.065, -0.849, 0.009), rot=(-0.158, 0.444, -2.871), scale=0.25, des="stop_sign")
create("mesh/3.glb", loc=(-0.187, -2.815, 0.151), rot=(-0.066, 0.01, -0.029), scale=0.696, des="truck")
create("mesh/4.glb", loc=(-0.002, -0.835, 0.027), rot=(0.001, 0.203, -3.029), scale=0.085, des="vest")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 16 objects detected in the scene: Object 0 bbox: [219, 89, 131, 294]
Object 1 bbox: [3, 352, 117, 188]
Object 2 bbox: [323, 480, 112, 101]
Object 3 bbox: [323, 558, 108, 81]
Object 4 bbox: [327, 437, 111, 60]
Object 5 bbox: [81, 435, 70, 79]
Object 6 bbox: [82, 499, 69, 80]
Object 7 bbox: [349, 324, 98, 45]
Object 8 bbox: [348, 366, 97, 46]
Object 9 bbox: [198, 383, 121, 30]
Object 10 bbox: [349, 297, 98, 30]
Object 11 bbox: [79, 401, 71, 45]
Object 12 bbox: [120, 315, 66, 37]
Object 13 bbox: [120, 347, 66, 38]
Object 14 bbox: [300, 332, 48, 68]
Object 15 bbox: [63, 351, 59, 71]

[Assistant]
create("mesh/0.glb", loc=(-0.138, -1.64, 0.194), rot=(3.003, -0.316, 0.029), scale=0.929, des="mirror")
create("mesh/1.glb", loc=(0.575, -1.747, -0.408), rot=(-0.035, 0.038, 2.686), scale=0.532, des="toilet")
create("mesh/2.glb", loc=(-0.337, -1.28, -0.471), rot=(-0.032, -0.095, 2.605), scale=0.25, des="drawer")
create("mesh/3.glb", loc=(-0.328, -1.279, -0.655), rot=(-0.005, -0.208, 2.546), scale=0.434, des="drawer")
create("mesh/4.glb", loc=(-0.333, -1.237, -0.333), rot=(-0.033, 0.002, 2.695), scale=0.227, des="drawer")
create("mesh/5.glb", loc=(0.33, -1.518, -0.436), rot=(-0.038, 0.052, 2.6), scale=0.24, des="drawer")
create("mesh/6.glb", loc=(0.326, -1.538, -0.616), rot=(-0.023, 0.02, 2.593), scale=0.244, des="drawer")
create("mesh/7.glb", loc=(-0.403, -1.371, -0.073), rot=(-0.027, 0.055, 2.707), scale=0.234, des="drawer")
create("mesh/8.glb", loc=(-0.403, -1.373, -0.177), rot=(-0.014, -0.049, 2.684), scale=0.227, des="drawer")
create("mesh/9.glb", loc=(-0.057, -1.448, -0.231), rot=(-0.043, 0.048, 2.909), scale=0.34, des="sink")
create("mesh/10.glb", loc=(-0.416, -1.373, 0.013), rot=(-0.023, 0.095, 2.716), scale=0.233, des="drawer")
create("mesh/11.glb", loc=(0.333, -1.516, -0.299), rot=(-0.085, 0.053, 2.681), scale=0.202, des="drawer")
create("mesh/12.glb", loc=(0.256, -1.665, -0.042), rot=(-0.049, 0.095, 2.714), scale=0.215, des="drawer")
create("mesh/13.glb", loc=(0.255, -1.687, -0.145), rot=(-0.06, 0.013, 2.704), scale=0.218, des="drawer")
create("mesh/14.glb", loc=(-0.261, -1.517, -0.13), rot=(-0.048, -0.055, -2.339), scale=0.194, des="paper_towel")
create("mesh/15.glb", loc=(0.502, -1.987, -0.346), rot=(-0.095, -0.07, -1.499), scale=0.358, des="cistern")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 16 objects detected in the scene: Object 0 bbox: [393, 234, 191, 150]
Object 1 bbox: [413, 110, 170, 134]
Object 2 bbox: [235, 81, 151, 143]
Object 3 bbox: [239, 215, 158, 131]
Object 4 bbox: [394, 135, 244, 172]
Object 5 bbox: [70, 248, 95, 151]
Object 6 bbox: [387, 56, 90, 145]
Object 7 bbox: [79, 167, 72, 68]
Object 8 bbox: [5, 172, 78, 62]
Object 9 bbox: [71, 83, 74, 66]
Object 10 bbox: [594, 1, 45, 71]
Object 11 bbox: [13, 99, 63, 53]
Object 12 bbox: [39, 9, 52, 55]
Object 13 bbox: [87, 0, 51, 58]
Object 14 bbox: [0, 16, 42, 54]
Object 15 bbox: [539, 0, 85, 126]

[Assistant]
create("mesh/0.glb", loc=(-0.384, -1.085, -0.199), rot=(0.017, 0.15, 2.993), scale=0.386, des="television_set")
create("mesh/1.glb", loc=(-0.386, -1.042, 0.085), rot=(0.022, 0.006, 3.015), scale=0.345, des="television_set")
create("mesh/2.glb", loc=(0.007, -1.241, 0.151), rot=(0.032, 0.013, 2.973), scale=0.382, des="television_set")
create("mesh/3.glb", loc=(-0.011, -1.29, -0.167), rot=(0.021, 0.101, 3.043), scale=0.415, des="television_set")
create("mesh/4.glb", loc=(-0.639, -1.595, -0.013), rot=(0.003, 0.145, 2.997), scale=0.717, des="refrigerator")
create("mesh/5.glb", loc=(0.455, -1.083, -0.223), rot=(-0.07, -0.086, -2.38), scale=0.444, des="dog")
create("mesh/6.glb", loc=(-0.392, -1.52, 0.189), rot=(0.014, 0.104, 3.019), scale=0.495, des="refrigerator")
create("mesh/7.glb", loc=(0.967, -2.389, 0.06), rot=(0.032, 0.059, 2.892), scale=0.323, des="television_set")
create("mesh/8.glb", loc=(1.409, -2.531, 0.061), rot=(0.003, 0.087, 2.974), scale=0.376, des="television_set")
create("mesh/9.glb", loc=(1.027, -2.417, 0.476), rot=(-0.201, 0.012, -0.274), scale=0.667, des="television_set")
create("mesh/10.glb", loc=(-1.213, -1.913, 0.707), rot=(0.009, 0.082, 2.765), scale=0.257, des="television_set")
create("mesh/11.glb", loc=(1.388, -2.501, 0.446), rot=(-0.008, 0.107, 2.917), scale=0.297, des="television_set")
create("mesh/12.glb", loc=(1.237, -2.388, 0.872), rot=(-0.019, 0.061, 2.803), scale=0.245, des="television_set")
create("mesh/13.glb", loc=(0.961, -2.297, 0.862), rot=(0.034, 0.136, 2.819), scale=0.255, des="television_set")
create("mesh/14.glb", loc=(1.54, -2.496, 0.882), rot=(-0.045, 0.059, 2.677), scale=0.27, des="television_set")
create("mesh/15.glb", loc=(-1.123, -1.831, 0.513), rot=(-0.589, 0.153, 0.087), scale=0.548, des="mop")


[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: [99, 79, 173, 164]
Object 1 bbox: [216, 138, 152, 107]

[Assistant]
create("mesh/0.glb", loc=(0.082, -1.811, 0.009), rot=(-0.09, 0.014, 1.288), scale=0.255, des="zebra")
create("mesh/1.glb", loc=(-0.066, -1.798, -0.027), rot=(0.047, -0.029, 1.726), scale=0.191, 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 5 objects detected in the scene: Object 0 bbox: [332, 212, 216, 156]
Object 1 bbox: [473, 44, 105, 142]
Object 2 bbox: [355, 69, 74, 57]
Object 3 bbox: [335, 111, 38, 63]
Object 4 bbox: [397, 240, 52, 71]

[Assistant]
create("mesh/0.glb", loc=(-0.11, -1.169, -0.056), rot=(0.107, -0.194, 1.49), scale=0.169, des="jean")
create("mesh/1.glb", loc=(-0.28, -2.157, 0.126), rot=(-0.185, -0.082, 0.227), scale=0.21, des="jacket")
create("mesh/2.glb", loc=(-0.07, -1.147, 0.071), rot=(0.443, -0.47, -1.443), scale=0.062, des="pad")
create("mesh/3.glb", loc=(-0.122, -5.062, 0.194), rot=(0.277, -2.363, -1.917), scale=0.195, des="jacket")
create("mesh/4.glb", loc=(-0.088, -1.17, -0.047), rot=(-0.228, -0.064, -0.252), scale=0.047, des="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 8 objects detected in the scene: Object 0 bbox: [263, 117, 221, 270]
Object 1 bbox: [352, 0, 181, 280]
Object 2 bbox: [237, 365, 330, 108]
Object 3 bbox: [126, 300, 52, 84]
Object 4 bbox: [353, 421, 50, 53]
Object 5 bbox: [237, 417, 50, 52]
Object 6 bbox: [521, 418, 45, 49]
Object 7 bbox: [411, 414, 45, 48]

[Assistant]
create("mesh/0.glb", loc=(-0.048, -1.663, 0.012), rot=(0.042, -0.296, 2.345), scale=0.227, des="dog")
create("mesh/1.glb", loc=(-0.124, -1.795, 0.118), rot=(0.481, -0.194, 1.88), scale=0.529, des="jean")
create("mesh/2.glb", loc=(-0.087, -1.701, -0.121), rot=(0.057, -0.116, 2.055), scale=0.277, des="skateboard")
create("mesh/3.glb", loc=(0.37, -4.469, -0.162), rot=(0.104, -0.007, 2.981), scale=0.247, des="jean")
create("mesh/4.glb", loc=(-0.049, -1.619, -0.147), rot=(-0.083, -0.026, -1.99), scale=0.055, des="wheel")
create("mesh/5.glb", loc=(0.035, -1.67, -0.157), rot=(0.994, 2.962, -0.017), scale=0.052, des="wheel")
create("mesh/6.glb", loc=(-0.202, -1.763, -0.158), rot=(0.044, 0.036, -2.045), scale=0.056, des="wheel")
create("mesh/7.glb", loc=(-0.107, -1.833, -0.161), rot=(0.663, 0.235, -0.088), scale=0.061, 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 2 objects detected in the scene: Object 0 bbox: [560, 226, 48, 91]
Object 1 bbox: [465, 203, 41, 54]

[Assistant]
create("mesh/0.glb", loc=(-0.379, -1.68, -0.086), rot=(-0.084, 0.013, 0.459), scale=0.121, des="trash_can")
create("mesh/1.glb", loc=(-0.203, -1.454, -0.023), rot=(0.035, 0.018, -2.103), scale=0.077, des="backpack")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 4 objects detected in the scene: Object 0 bbox: [204, 299, 128, 62]
Object 1 bbox: [454, 330, 140, 52]
Object 2 bbox: [223, 267, 106, 56]
Object 3 bbox: [150, 271, 82, 56]

[Assistant]
create("mesh/0.glb", loc=(0.032, -0.455, -0.089), rot=(0.63, 0.105, -2.573), scale=0.112, des="umbrella")
create("mesh/1.glb", loc=(-0.172, -0.474, -0.117), rot=(0.419, 0.211, -3.071), scale=0.115, des="umbrella")
create("mesh/2.glb", loc=(0.103, -1.426, -0.215), rot=(0.054, 0.031, -0.649), scale=0.383, des="car_(automobile)")
create("mesh/3.glb", loc=(0.167, -0.748, -0.119), rot=(-0.523, -0.599, 2.564), scale=0.126, 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 8 objects detected in the scene: Object 0 bbox: [199, 437, 179, 81]
Object 1 bbox: [251, 334, 57, 72]
Object 2 bbox: [158, 181, 49, 66]
Object 3 bbox: [253, 404, 56, 54]
Object 4 bbox: [150, 359, 85, 35]
Object 5 bbox: [145, 326, 60, 33]
Object 6 bbox: [254, 458, 56, 35]
Object 7 bbox: [193, 299, 54, 25]

[Assistant]
create("mesh/0.glb", loc=(-0.261, -2.465, -0.392), rot=(0.003, 0.078, -0.984), scale=0.553, des="minivan")
create("mesh/1.glb", loc=(-0.101, -1.018, -0.059), rot=(-0.65, -3.048, 0.031), scale=0.075, des="street_sign")
create("mesh/2.glb", loc=(-0.01, -1.169, 0.108), rot=(-0.036, 0.131, -2.664), scale=0.078, des="street_sign")
create("mesh/3.glb", loc=(-0.095, -1.002, -0.122), rot=(0.013, -0.18, 2.701), scale=0.052, des="street_sign")
create("mesh/4.glb", loc=(-0.015, -1.149, -0.071), rot=(-0.3, -3.096, 0.083), scale=0.093, des="street_sign")
create("mesh/5.glb", loc=(0.005, -1.162, -0.04), rot=(-0.487, -3.088, 0.031), scale=0.071, des="street_sign")
create("mesh/6.glb", loc=(-0.094, -1.005, -0.153), rot=(0.024, -0.135, 2.856), scale=0.056, des="street_sign")
create("mesh/7.glb", loc=(-0.043, -1.147, 0.004), rot=(-0.011, -0.083, 2.632), scale=0.06, des="street_sign")


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

[User] Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 1 objects detected in the scene: Object 0 bbox: [455, 178, 74, 161]

[Assistant] create("mesh/0.glb", loc=(-0.442, -0.642, -0.155), rot=(-0.956, -2.668, -0.263), scale=0.487, des="banner")


[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: [100, 179, 195, 145]
Object 1 bbox: [290, 192, 162, 149]
Object 2 bbox: [29, 350, 468, 34]
Object 3 bbox: [326, 127, 134, 89]
Object 4 bbox: [86, 0, 78, 83]
Object 5 bbox: [372, 46, 93, 55]
Object 6 bbox: [433, 195, 92, 170]
Object 7 bbox: [432, 195, 90, 169]
Object 8 bbox: [539, 120, 97, 75]
Object 9 bbox: [268, 36, 119, 136]

[Assistant]
create("mesh/0.glb", loc=(0.324, -1.308, 0.004), rot=(0.009, -1.021, -2.871), scale=0.61, des="bun")
create("mesh/1.glb", loc=(-0.148, -1.214, -0.097), rot=(-0.036, -1.232, -2.888), scale=0.46, des="bowl")
create("mesh/2.glb", loc=(0.079, -1.024, -0.288), rot=(-0.496, -0.042, 0.019), scale=0.824, des="basket")
create("mesh/3.glb", loc=(-0.261, -1.47, 0.205), rot=(-0.7, 0.034, 0.0), scale=0.5, des="bowl")
create("mesh/4.glb", loc=(0.78, -1.868, 0.883), rot=(0.016, -1.332, -2.251), scale=1.043, des="root_beer")
create("mesh/5.glb", loc=(-0.436, -1.76, 0.64), rot=(-0.122, -1.218, -2.824), scale=0.419, des="bowl")
create("mesh/6.glb", loc=(-0.399, -1.243, -0.044), rot=(-0.092, -1.01, -2.846), scale=0.665, des="spoon")
create("mesh/7.glb", loc=(-0.407, -1.225, -0.061), rot=(0.869, 0.998, 2.751), scale=0.67, des="fork")
create("mesh/8.glb", loc=(-1.028, -1.495, 0.25), rot=(-0.0, 3.04, -0.754), scale=0.516, des="basket")
create("mesh/9.glb", loc=(-0.062, -1.477, 0.402), rot=(1.251, 2.429, 1.508), scale=0.653, des="spoon")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 5 objects detected in the scene: Object 0 bbox: [0, 19, 468, 255]
Object 1 bbox: [106, 96, 75, 86]
Object 2 bbox: [206, 0, 72, 33]
Object 3 bbox: [253, 21, 64, 40]
Object 4 bbox: [170, 54, 44, 36]

[Assistant]
create("mesh/0.glb", loc=(-0.006, -1.829, 0.011), rot=(0.147, 0.215, -1.482), scale=0.654, des="motorcycle")
create("mesh/1.glb", loc=(0.092, -1.773, 0.026), rot=(0.727, -0.218, -1.267), scale=0.093, des="boot")
create("mesh/2.glb", loc=(-0.005, -1.908, 0.162), rot=(-0.451, -0.617, -1.213), scale=0.087, des="helmet")
create("mesh/3.glb", loc=(-0.054, -1.846, 0.131), rot=(2.17, 2.154, -0.483), scale=0.075, des="glove")
create("mesh/4.glb", loc=(0.044, -1.781, 0.092), rot=(-1.07, -1.196, -1.255), scale=0.047, 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 1 objects detected in the scene: Object 0 bbox: [83, 136, 352, 343]

[Assistant] create("mesh/0.glb", loc=(0.174, -1.937, -0.182), rot=(0.047, 0.032, -1.32), scale=0.825, 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 16 objects detected in the scene: Object 0 bbox: [0, 172, 318, 270]
Object 1 bbox: [0, 172, 318, 269]
Object 2 bbox: [2, 126, 268, 74]
Object 3 bbox: [2, 123, 266, 76]
Object 4 bbox: [353, 57, 117, 143]
Object 5 bbox: [353, 58, 116, 145]
Object 6 bbox: [548, 27, 82, 114]
Object 7 bbox: [548, 27, 82, 116]
Object 8 bbox: [204, 0, 95, 97]
Object 9 bbox: [203, 0, 50, 91]
Object 10 bbox: [382, 0, 72, 71]
Object 11 bbox: [383, 0, 71, 70]
Object 12 bbox: [0, 236, 44, 93]
Object 13 bbox: [0, 236, 43, 93]
Object 14 bbox: [598, 92, 41, 115]
Object 15 bbox: [599, 92, 40, 115]

[Assistant]
create("mesh/0.glb", loc=(0.234, -1.25, -0.082), rot=(-0.123, -0.114, -0.86), scale=0.625, des="sheep")
create("mesh/1.glb", loc=(0.231, -1.263, -0.078), rot=(-0.124, -0.098, -0.848), scale=0.628, des="lamb_(animal)")
create("mesh/2.glb", loc=(0.344, -1.742, 0.112), rot=(-0.003, 0.159, 2.164), scale=0.641, des="lamb_(animal)")
create("mesh/3.glb", loc=(0.352, -1.737, 0.113), rot=(-0.003, 0.162, 2.144), scale=0.651, des="sheep")
create("mesh/4.glb", loc=(-0.308, -2.747, 0.39), rot=(-0.074, 0.208, 2.46), scale=0.675, des="lamb_(animal)")
create("mesh/5.glb", loc=(-0.308, -2.771, 0.389), rot=(-0.083, 0.259, 2.454), scale=0.67, des="sheep")
create("mesh/6.glb", loc=(-1.196, -3.773, 0.697), rot=(-0.033, -0.156, -2.734), scale=0.576, des="sheep")
create("mesh/7.glb", loc=(-1.199, -3.777, 0.697), rot=(-0.044, -0.198, -2.75), scale=0.56, des="lamb_(animal)")
create("mesh/8.glb", loc=(0.373, -4.924, 1.147), rot=(-0.687, 0.024, 0.285), scale=0.921, des="sheep")
create("mesh/9.glb", loc=(0.472, -4.924, 1.179), rot=(-0.822, 0.037, 0.141), scale=0.833, des="lamb_(animal)")
create("mesh/10.glb", loc=(-0.634, -4.997, 1.154), rot=(-0.145, 0.066, 1.471), scale=0.811, des="sheep")
create("mesh/11.glb", loc=(-0.636, -4.951, 1.153), rot=(-0.122, 0.097, 1.99), scale=0.788, des="lamb_(animal)")
create("mesh/12.glb", loc=(0.375, -1.03, -0.055), rot=(0.018, -0.173, -2.231), scale=0.181, des="sheep")
create("mesh/13.glb", loc=(0.369, -1.027, -0.054), rot=(0.011, -0.388, -2.194), scale=0.176, des="lamb_(animal)")
create("mesh/14.glb", loc=(-1.037, -2.785, 0.299), rot=(-0.028, 0.267, 2.911), scale=0.551, des="lamb_(animal)")
create("mesh/15.glb", loc=(-1.036, -2.768, 0.291), rot=(-0.047, 0.388, 2.882), scale=0.545, des="sheep")


[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: [316, 289, 294, 275]

[Assistant] create("mesh/0.glb", loc=(-0.189, -1.117, -0.104), rot=(-0.289, 0.897, 2.149), scale=0.405, des="jean")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [431, 193, 82, 234]
Object 1 bbox: [388, 178, 76, 90]
Object 2 bbox: [386, 248, 52, 109]

[Assistant]
create("mesh/0.glb", loc=(-0.351, -1.159, -0.165), rot=(0.089, 1.082, 2.597), scale=0.727, des="pickle")
create("mesh/1.glb", loc=(-0.265, -1.25, -0.031), rot=(-0.749, -0.357, -0.022), scale=0.258, des="tomato")
create("mesh/2.glb", loc=(-0.211, -1.162, -0.186), rot=(-0.49, 0.593, 1.361), scale=0.297, 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 2 objects detected in the scene: Object 0 bbox: [118, 268, 123, 193]
Object 1 bbox: [252, 103, 40, 309]

[Assistant]
create("mesh/0.glb", loc=(0.044, -2.036, -0.062), rot=(-1.076, -2.799, -0.451), scale=0.229, des="clock")
create("mesh/1.glb", loc=(-0.092, -2.002, 0.074), rot=(0.176, 0.377, -2.202), scale=0.403, 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 9 objects detected in the scene: Object 0 bbox: [94, 110, 155, 118]
Object 1 bbox: [103, 111, 131, 84]
Object 2 bbox: [73, 432, 168, 89]
Object 3 bbox: [351, 97, 74, 139]
Object 4 bbox: [0, 283, 425, 49]
Object 5 bbox: [0, 521, 75, 117]
Object 6 bbox: [333, 406, 92, 181]
Object 7 bbox: [81, 259, 207, 21]
Object 8 bbox: [344, 344, 49, 126]

[Assistant]
create("mesh/0.glb", loc=(0.11, -1.727, 0.455), rot=(0.009, -0.737, -2.963), scale=0.44, des="laptop_computer")
create("mesh/1.glb", loc=(0.123, -1.798, 0.531), rot=(-0.073, 3.131, -0.162), scale=0.434, des="monitor_(computer_equipment) computer_monitor")
create("mesh/2.glb", loc=(0.158, -1.777, -0.457), rot=(0.043, -0.116, 2.143), scale=0.544, des="dog")
create("mesh/3.glb", loc=(-0.598, -1.719, 0.434), rot=(-0.002, 0.101, 2.065), scale=0.461, des="monitor_(computer_equipment) computer_monitor")
create("mesh/4.glb", loc=(-0.013, -1.449, 0.028), rot=(0.008, -0.427, -3.066), scale=0.908, des="desk")
create("mesh/5.glb", loc=(0.587, -1.573, -0.764), rot=(-0.211, -0.214, -0.681), scale=0.478, des="box")
create("mesh/6.glb", loc=(-0.542, -1.795, -0.538), rot=(-0.33, -0.263, -1.401), scale=0.437, des="box")
create("mesh/7.glb", loc=(0.055, -1.538, 0.144), rot=(0.032, -0.395, -3.058), scale=0.533, des="computer_keyboard")
create("mesh/8.glb", loc=(-0.521, -1.756, -0.269), rot=(-0.39, 0.354, 1.548), scale=0.456, 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 9 objects detected in the scene: Object 0 bbox: [108, 331, 136, 80]
Object 1 bbox: [107, 331, 137, 81]
Object 2 bbox: [287, 330, 128, 62]
Object 3 bbox: [289, 330, 127, 63]
Object 4 bbox: [262, 363, 157, 51]
Object 5 bbox: [213, 341, 85, 59]
Object 6 bbox: [212, 341, 86, 58]
Object 7 bbox: [269, 305, 64, 57]
Object 8 bbox: [269, 305, 64, 57]

[Assistant]
create("mesh/0.glb", loc=(0.372, -1.419, -0.35), rot=(-0.119, -0.746, -1.955), scale=0.285, des="pillow")
create("mesh/1.glb", loc=(0.375, -1.427, -0.348), rot=(-0.012, -0.663, -1.949), scale=0.291, des="cushion")
create("mesh/2.glb", loc=(-0.119, -1.777, -0.392), rot=(-0.031, 0.183, 2.482), scale=0.386, des="cushion")
create("mesh/3.glb", loc=(-0.122, -1.779, -0.394), rot=(-0.002, 0.159, 2.468), scale=0.383, des="pillow")
create("mesh/4.glb", loc=(-0.069, -1.584, -0.464), rot=(-0.039, 0.04, 2.443), scale=0.446, des="cushion")
create("mesh/5.glb", loc=(0.207, -1.55, -0.388), rot=(1.768, -2.543, 0.483), scale=0.251, des="cushion")
create("mesh/6.glb", loc=(0.205, -1.551, -0.387), rot=(-1.783, 2.521, -0.465), scale=0.25, des="pillow")
create("mesh/7.glb", loc=(0.061, -1.888, -0.322), rot=(0.555, -1.242, -2.031), scale=0.263, des="pillow")
create("mesh/8.glb", loc=(0.061, -1.887, -0.322), rot=(0.557, -1.287, -2.09), scale=0.261, 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 15 objects detected in the scene: Object 0 bbox: [1, 33, 287, 294]
Object 1 bbox: [336, 163, 210, 145]
Object 2 bbox: [1, 343, 124, 134]
Object 3 bbox: [3, 304, 249, 82]
Object 4 bbox: [392, 90, 202, 83]
Object 5 bbox: [321, 363, 165, 101]
Object 6 bbox: [163, 300, 177, 151]
Object 7 bbox: [48, 325, 248, 115]
Object 8 bbox: [403, 29, 164, 52]
Object 9 bbox: [141, 226, 172, 117]
Object 10 bbox: [226, 23, 139, 86]
Object 11 bbox: [260, 121, 137, 119]
Object 12 bbox: [289, 215, 73, 79]
Object 13 bbox: [274, 108, 109, 65]
Object 14 bbox: [610, 163, 29, 81]

[Assistant]
create("mesh/0.glb", loc=(0.422, -1.374, 0.165), rot=(-0.8, -0.488, -1.976), scale=0.789, des="suitcase")
create("mesh/1.glb", loc=(-0.372, -1.575, 0.007), rot=(0.523, 0.414, 2.593), scale=0.582, des="suitcase")
create("mesh/2.glb", loc=(0.819, -1.447, -0.567), rot=(-1.501, 2.482, -1.017), scale=0.613, des="suitcase")
create("mesh/3.glb", loc=(0.437, -1.633, -0.254), rot=(-0.177, -0.285, -1.859), scale=0.615, des="suitcase")
create("mesh/4.glb", loc=(-0.736, -2.221, 0.443), rot=(-0.359, -0.388, -1.901), scale=0.735, des="suitcase")
create("mesh/5.glb", loc=(-0.308, -1.671, -0.511), rot=(1.902, 1.95, -0.058), scale=0.459, des="suitcase")
create("mesh/6.glb", loc=(0.218, -1.639, -0.377), rot=(-0.025, 0.792, 2.662), scale=0.515, des="suitcase")
create("mesh/7.glb", loc=(0.411, -1.636, -0.354), rot=(0.266, 0.741, 2.453), scale=0.582, des="suitcase")
create("mesh/8.glb", loc=(-0.629, -2.075, 0.677), rot=(-0.436, 0.41, 0.961), scale=0.575, des="suitcase")
create("mesh/9.glb", loc=(0.246, -1.451, -0.102), rot=(0.426, 0.614, 2.629), scale=0.403, des="suitcase")
create("mesh/10.glb", loc=(0.092, -1.797, 0.537), rot=(2.482, -0.242, 0.307), scale=0.536, des="suitcase")
create("mesh/11.glb", loc=(-0.012, -1.967, 0.245), rot=(-0.438, -0.666, -2.094), scale=0.594, des="suitcase")
create("mesh/12.glb", loc=(0.005, -1.829, -0.052), rot=(-0.69, -2.873, 0.881), scale=0.457, des="suitcase")
create("mesh/13.glb", loc=(-0.015, -1.87, 0.315), rot=(0.151, 0.782, 2.266), scale=0.348, des="suitcase")
create("mesh/14.glb", loc=(-1.365, -2.399, 0.141), rot=(-0.201, 1.676, 2.191), scale=0.387, 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 6 objects detected in the scene: Object 0 bbox: [0, 247, 249, 323]
Object 1 bbox: [9, 305, 215, 122]
Object 2 bbox: [262, 432, 71, 107]
Object 3 bbox: [0, 557, 184, 72]
Object 4 bbox: [28, 440, 58, 57]
Object 5 bbox: [142, 428, 47, 55]

[Assistant]
create("mesh/0.glb", loc=(0.119, -0.819, -0.138), rot=(0.162, 1.476, -2.349), scale=0.591, des="person")
create("mesh/1.glb", loc=(0.106, -0.862, -0.09), rot=(-0.17, 0.653, -2.353), scale=0.432, des="sweatshirt")
create("mesh/2.glb", loc=(-0.345, -2.681, -0.674), rot=(0.234, 0.964, -2.414), scale=0.638, des="person")
create("mesh/3.glb", loc=(0.152, -0.713, -0.305), rot=(0.065, -0.647, 2.964), scale=0.26, des="skateboard")
create("mesh/4.glb", loc=(0.179, -0.733, -0.173), rot=(-1.288, -1.144, -1.02), scale=0.08, des="knee_pad")
create("mesh/5.glb", loc=(0.057, -0.822, -0.176), rot=(0.322, 1.955, -2.136), scale=0.084, 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 4 objects detected in the scene: Object 0 bbox: [41, 96, 62, 543]
Object 1 bbox: [95, 553, 134, 85]
Object 2 bbox: [327, 471, 87, 129]
Object 3 bbox: [213, 1, 120, 63]

[Assistant]
create("mesh/0.glb", loc=(0.458, -2.082, -0.112), rot=(0.023, 0.018, 1.444), scale=2.234, des="shower_curtain")
create("mesh/1.glb", loc=(0.18, -2.214, -1.126), rot=(-0.082, -0.127, -1.471), scale=0.875, des="bath_mat")
create("mesh/2.glb", loc=(-0.594, -1.259, -0.694), rot=(-0.205, -0.188, -1.458), scale=0.696, des="sink")
create("mesh/3.glb", loc=(-0.163, -1.368, 0.681), rot=(-0.066, -0.082, -1.578), scale=0.306, des="lamp")


[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: [80, 52, 235, 228]
Object 1 bbox: [392, 198, 145, 125]
Object 2 bbox: [450, 217, 176, 85]
Object 3 bbox: [339, 240, 77, 119]
Object 4 bbox: [436, 192, 155, 48]
Object 5 bbox: [496, 275, 116, 48]

[Assistant]
create("mesh/0.glb", loc=(0.291, -1.723, 0.098), rot=(-0.01, 0.048, -2.489), scale=0.783, des="cat")
create("mesh/1.glb", loc=(-0.243, -1.224, -0.088), rot=(0.23, -0.517, -2.477), scale=0.418, des="carrot")
create("mesh/2.glb", loc=(-0.317, -1.156, -0.089), rot=(-0.05, -0.275, 0.65), scale=0.364, des="carrot")
create("mesh/3.glb", loc=(-0.112, -1.175, -0.139), rot=(0.448, -0.413, -3.034), scale=0.449, des="carrot")
create("mesh/4.glb", loc=(-0.272, -1.136, -0.041), rot=(0.052, -0.072, -2.466), scale=0.269, des="carrot")
create("mesh/5.glb", loc=(-0.349, -1.163, -0.158), rot=(0.758, 0.155, -1.759), scale=0.193, des="carrot")


[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: [518, 314, 77, 40]

[Assistant] create("mesh/0.glb", loc=(-1.162, -2.805, -0.598), rot=(0.117, -0.324, 2.239), scale=0.617, 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 11 objects detected in the scene: Object 0 bbox: [74, 95, 91, 213]
Object 1 bbox: [418, 344, 71, 134]
Object 2 bbox: [419, 344, 69, 135]
Object 3 bbox: [334, 264, 134, 123]
Object 4 bbox: [334, 264, 134, 122]
Object 5 bbox: [451, 244, 115, 87]
Object 6 bbox: [450, 244, 115, 88]
Object 7 bbox: [295, 261, 53, 106]
Object 8 bbox: [295, 261, 53, 106]
Object 9 bbox: [594, 219, 45, 82]
Object 10 bbox: [593, 219, 46, 81]

[Assistant]
create("mesh/0.glb", loc=(0.261, -2.306, 0.037), rot=(0.03, 0.168, -1.999), scale=0.286, des="bird")
create("mesh/1.glb", loc=(-0.113, -1.477, -0.141), rot=(-0.087, 0.241, -3.086), scale=0.111, des="bird")
create("mesh/2.glb", loc=(-0.114, -1.481, -0.143), rot=(-0.073, 0.271, -3.066), scale=0.115, des="vulture")
create("mesh/3.glb", loc=(-0.089, -1.831, -0.091), rot=(0.146, -0.297, 1.552), scale=0.159, des="vulture")
create("mesh/4.glb", loc=(-0.082, -1.835, -0.083), rot=(0.13, -0.269, 1.543), scale=0.157, des="bird")
create("mesh/5.glb", loc=(-0.219, -1.998, -0.059), rot=(0.057, 0.056, -1.786), scale=0.148, des="vulture")
create("mesh/6.glb", loc=(-0.224, -2.003, -0.053), rot=(-0.152, 0.282, -1.785), scale=0.168, des="bird")
create("mesh/7.glb", loc=(-0.008, -1.893, -0.076), rot=(0.041, 0.31, -2.773), scale=0.115, des="bird")
create("mesh/8.glb", loc=(-0.008, -1.892, -0.075), rot=(0.03, 0.261, -2.749), scale=0.114, des="vulture")
create("mesh/9.glb", loc=(-0.362, -2.04, -0.031), rot=(-0.035, 0.075, -3.116), scale=0.134, des="bird")
create("mesh/10.glb", loc=(-0.361, -2.041, -0.03), rot=(-0.027, -0.479, 3.064), scale=0.133, des="vulture")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 13 objects detected in the scene: Object 0 bbox: [131, 16, 307, 216]
Object 1 bbox: [0, 0, 106, 133]
Object 2 bbox: [208, 134, 158, 89]
Object 3 bbox: [1, 147, 92, 228]
Object 4 bbox: [3, 249, 52, 159]
Object 5 bbox: [324, 351, 66, 84]
Object 6 bbox: [324, 351, 67, 84]
Object 7 bbox: [433, 334, 65, 91]
Object 8 bbox: [433, 334, 66, 90]
Object 9 bbox: [287, 268, 91, 86]
Object 10 bbox: [38, 364, 46, 84]
Object 11 bbox: [0, 364, 39, 81]
Object 12 bbox: [44, 280, 112, 142]

[Assistant]
create("mesh/0.glb", loc=(0.129, -2.929, 0.43), rot=(-0.005, 0.099, -3.056), scale=1.184, des="cabinet")
create("mesh/1.glb", loc=(0.942, -2.607, 0.583), rot=(0.003, -0.001, -3.078), scale=0.545, des="cabinet")
create("mesh/2.glb", loc=(0.131, -2.976, 0.253), rot=(-0.006, 0.097, -3.07), scale=0.624, des="microwave_oven")
create("mesh/3.glb", loc=(0.943, -2.551, -0.114), rot=(-0.015, 0.05, -2.954), scale=0.724, des="refrigerator")
create("mesh/4.glb", loc=(0.305, -0.794, -0.108), rot=(0.002, -0.011, -0.851), scale=0.169, des="paper_towel")
create("mesh/5.glb", loc=(-0.057, -0.762, -0.174), rot=(0.052, -0.084, 1.507), scale=0.082, des="cup")
create("mesh/6.glb", loc=(-0.056, -0.762, -0.17), rot=(0.059, -0.096, 1.55), scale=0.081, des="glass_(drink_container)")
create("mesh/7.glb", loc=(-0.173, -0.801, -0.179), rot=(-0.004, 0.257, -2.962), scale=0.087, des="glass_(drink_container)")
create("mesh/8.glb", loc=(-0.169, -0.796, -0.179), rot=(0.012, -0.393, 3.099), scale=0.084, des="cup")
create("mesh/9.glb", loc=(-0.004, -2.677, -0.291), rot=(-0.002, 0.054, -3.101), scale=0.713, des="stove")
create("mesh/10.glb", loc=(0.265, -0.789, -0.189), rot=(-0.019, 0.012, -1.321), scale=0.072, des="glass_(drink_container)")
create("mesh/11.glb", loc=(0.298, -0.773, -0.182), rot=(0.026, -0.041, 0.841), scale=0.068, des="glass_(drink_container)")
create("mesh/12.glb", loc=(0.203, -0.716, -0.124), rot=(-1.484, -0.064, 1.151), scale=0.184, des="spoon")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 9 objects detected in the scene: Object 0 bbox: [230, 13, 150, 234]
Object 1 bbox: [41, 169, 245, 132]
Object 2 bbox: [5, 300, 109, 126]
Object 3 bbox: [452, 72, 91, 64]
Object 4 bbox: [149, 373, 162, 53]
Object 5 bbox: [43, 179, 118, 55]
Object 6 bbox: [161, 222, 105, 36]
Object 7 bbox: [154, 169, 88, 63]
Object 8 bbox: [94, 234, 97, 45]

[Assistant]
create("mesh/0.glb", loc=(0.053, -2.292, 0.391), rot=(-0.248, -0.013, -0.131), scale=1.109, des="Christmas_tree")
create("mesh/1.glb", loc=(0.588, -2.053, -0.064), rot=(-0.099, -0.339, -2.397), scale=0.965, des="sofa")
create("mesh/2.glb", loc=(0.386, -0.74, -0.227), rot=(-0.247, -0.089, -0.927), scale=0.406, des="cushion")
create("mesh/3.glb", loc=(-0.715, -1.957, 0.434), rot=(-0.122, 0.4, 2.291), scale=0.418, des="television_set")
create("mesh/4.glb", loc=(0.14, -0.906, -0.399), rot=(-0.206, -0.149, -0.578), scale=0.23, des="cushion")
create("mesh/5.glb", loc=(0.847, -1.97, 0.006), rot=(0.309, -1.524, -1.934), scale=0.382, des="cushion")
create("mesh/6.glb", loc=(0.453, -2.107, -0.106), rot=(-0.069, -0.223, -2.408), scale=0.419, des="cushion")
create("mesh/7.glb", loc=(0.534, -2.197, 0.071), rot=(-1.003, -1.279, -0.673), scale=0.443, des="cushion")
create("mesh/8.glb", loc=(0.674, -1.857, -0.16), rot=(-0.251, 0.088, 0.733), scale=0.332, 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 1 objects detected in the scene: Object 0 bbox: [267, 188, 103, 30]

[Assistant] create("mesh/0.glb", loc=(-0.057, -0.602, -0.009), rot=(-0.05, 0.005, -0.142), scale=0.069, des="street_sign")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 3 objects detected in the scene: Object 0 bbox: [56, 299, 249, 275]
Object 1 bbox: [225, 12, 183, 190]
Object 2 bbox: [0, 353, 65, 120]

[Assistant]
create("mesh/0.glb", loc=(0.028, -2.653, -0.309), rot=(0.017, -0.063, 3.023), scale=1.743, des="train_(railroad_vehicle)")
create("mesh/1.glb", loc=(-0.074, -0.718, 0.182), rot=(-0.286, -3.074, 0.004), scale=0.168, des="clock")
create("mesh/2.glb", loc=(1.422, -5.334, -0.593), rot=(0.039, -0.116, 3.052), scale=1.975, 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 5 objects detected in the scene: Object 0 bbox: [349, 164, 180, 225]
Object 1 bbox: [166, 224, 110, 216]
Object 2 bbox: [359, 178, 99, 192]
Object 3 bbox: [263, 260, 43, 115]
Object 4 bbox: [361, 240, 132, 144]

[Assistant]
create("mesh/0.glb", loc=(-0.285, -1.592, -0.109), rot=(0.075, -0.122, 1.516), scale=0.487, des="giraffe")
create("mesh/1.glb", loc=(0.179, -1.378, -0.173), rot=(-0.182, -0.057, -0.358), scale=0.379, des="giraffe")
create("mesh/2.glb", loc=(-0.238, -1.849, -0.099), rot=(-0.099, -0.054, -1.0), scale=0.464, des="giraffe")
create("mesh/3.glb", loc=(0.08, -1.907, -0.191), rot=(-0.024, 0.222, -2.709), scale=0.352, des="giraffe")
create("mesh/4.glb", loc=(-0.28, -1.673, -0.161), rot=(0.091, -0.14, 1.569), scale=0.358, des="giraffe")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 11 objects detected in the scene: Object 0 bbox: [1, 22, 556, 211]
Object 1 bbox: [82, 286, 200, 119]
Object 2 bbox: [147, 0, 157, 86]
Object 3 bbox: [75, 255, 163, 68]
Object 4 bbox: [401, 183, 132, 37]
Object 5 bbox: [441, 158, 114, 31]
Object 6 bbox: [259, 5, 113, 44]
Object 7 bbox: [0, 208, 23, 145]
Object 8 bbox: [504, 80, 84, 46]
Object 9 bbox: [520, 280, 75, 57]
Object 10 bbox: [418, 79, 94, 51]

[Assistant]
create("mesh/0.glb", loc=(-0.048, -2.444, 0.274), rot=(-0.04, -0.794, -2.258), scale=1.866, des="bread")
create("mesh/1.glb", loc=(0.192, -1.438, -0.213), rot=(-0.147, -0.635, -2.549), scale=0.257, des="napkin")
create("mesh/2.glb", loc=(0.281, -3.268, 0.516), rot=(0.01, 0.443, 2.892), scale=0.614, des="basket")
create("mesh/3.glb", loc=(0.262, -1.646, -0.151), rot=(0.06, -0.355, -3.04), scale=0.309, des="paper_plate")
create("mesh/4.glb", loc=(-0.305, -2.073, -0.008), rot=(-0.029, -0.3, -3.085), scale=0.278, des="paper_plate")
create("mesh/5.glb", loc=(-0.41, -2.369, 0.055), rot=(-0.122, -0.136, -1.331), scale=0.23, des="napkin")
create("mesh/6.glb", loc=(-0.001, -3.206, 0.511), rot=(-0.374, 0.713, 2.173), scale=0.256, des="napkin")
create("mesh/7.glb", loc=(0.465, -1.389, -0.111), rot=(-0.011, -0.938, -2.702), scale=0.249, des="basket")
create("mesh/8.glb", loc=(-0.616, -2.773, 0.263), rot=(-0.349, 0.241, 1.855), scale=0.213, des="edible_corn")
create("mesh/9.glb", loc=(-0.362, -1.572, -0.156), rot=(0.316, 0.499, 1.926), scale=0.134, des="lettuce")
create("mesh/10.glb", loc=(-0.372, -2.651, 0.233), rot=(2.431, -1.405, -0.295), scale=0.284, des="lettuce")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 11 objects detected in the scene: Object 0 bbox: [207, 129, 89, 232]
Object 1 bbox: [129, 214, 65, 174]
Object 2 bbox: [378, 328, 61, 95]
Object 3 bbox: [362, 132, 67, 129]
Object 4 bbox: [297, 378, 61, 54]
Object 5 bbox: [335, 351, 67, 81]
Object 6 bbox: [321, 208, 114, 85]
Object 7 bbox: [445, 322, 34, 86]
Object 8 bbox: [307, 314, 63, 81]
Object 9 bbox: [270, 340, 53, 90]
Object 10 bbox: [418, 319, 31, 85]

[Assistant]
create("mesh/0.glb", loc=(0.234, -2.141, -0.103), rot=(-0.174, -0.076, -0.902), scale=0.827, des="dress")
create("mesh/1.glb", loc=(0.425, -1.704, -0.257), rot=(-0.36, -0.431, -1.598), scale=0.595, des="dress")
create("mesh/2.glb", loc=(-0.14, -1.061, -0.271), rot=(-0.057, -0.059, 2.299), scale=0.149, des="pitcher_(vessel_for_liquid)")
create("mesh/3.glb", loc=(-0.308, -2.549, 0.059), rot=(-0.068, 0.102, 2.119), scale=0.559, des="dress")
create("mesh/4.glb", loc=(-0.015, -0.843, -0.274), rot=(0.059, 0.08, -2.312), scale=0.109, des="pitcher_(vessel_for_liquid)")
create("mesh/5.glb", loc=(-0.078, -0.944, -0.274), rot=(-0.099, -0.034, 2.293), scale=0.114, des="pitcher_(vessel_for_liquid)")
create("mesh/6.glb", loc=(-0.133, -1.056, -0.063), rot=(-0.744, -0.897, 1.137), scale=0.265, des="wine_bottle")
create("mesh/7.glb", loc=(-0.252, -1.112, -0.261), rot=(-0.289, -0.286, -1.682), scale=0.184, des="wine_bottle")
create("mesh/8.glb", loc=(-0.028, -0.987, -0.232), rot=(-0.042, -0.055, 1.954), scale=0.11, des="pitcher_(vessel_for_liquid)")
create("mesh/9.glb", loc=(0.028, -0.89, -0.255), rot=(-0.034, 0.016, 1.485), scale=0.112, des="pitcher_(vessel_for_liquid)")
create("mesh/10.glb", loc=(-0.204, -1.11, -0.261), rot=(-0.189, -0.114, -1.607), scale=0.175, des="wine_bottle")


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

[User]
Analyze the input image <image> and generate the corresponding Blender Python layout code. Use the data below to position the 6 objects detected in the scene: Object 0 bbox: [299, 286, 340, 114]
Object 1 bbox: [261, 204, 152, 85]
Object 2 bbox: [308, 283, 69, 136]
Object 3 bbox: [514, 171, 53, 107]
Object 4 bbox: [46, 9, 30, 106]
Object 5 bbox: [0, 12, 27, 104]

[Assistant]
create("mesh/0.glb", loc=(-0.255, -1.03, -0.181), rot=(-0.084, -0.249, -2.522), scale=0.609, des="place_mat")
create("mesh/1.glb", loc=(-0.044, -0.852, -0.06), rot=(-0.007, -0.084, 2.047), scale=0.185, des="flower_arrangement")
create("mesh/2.glb", loc=(-0.043, -0.839, -0.154), rot=(-0.074, -0.065, -2.326), scale=0.14, des="wineglass")
create("mesh/3.glb", loc=(-0.407, -1.242, -0.043), rot=(-0.168, -0.161, -2.129), scale=0.211, des="wineglass")
create("mesh/4.glb", loc=(0.854, -2.359, 0.495), rot=(-0.149, -0.093, -1.324), scale=0.36, des="wine_bottle")
create("mesh/5.glb", loc=(1.016, -2.321, 0.479), rot=(-0.034, 0.0, -3.1), scale=0.345, des="wine_bottle")