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import trimesh |
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import json |
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import numpy as np |
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PI = np.pi |
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red_color = [1.0, 0.0, 0.0, 0.5] |
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green_color = [0.0, 1.0, 0.0, 0.5] |
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blue_color = [0.0, 0.0, 1.0, 0.5] |
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def create_model_data(id): |
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file_path = f"./base{id}.glb" |
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save_path = f"./model_data{id}.json" |
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with open(save_path, 'r') as json_file: |
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data = json.load(json_file) |
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with open(file_path, 'rb') as file_obj: |
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mesh = trimesh.load(file_obj, file_type='glb') |
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scene = trimesh.Scene(mesh) |
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oriented_bounding_box = mesh.bounding_box_oriented |
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scale = [0.145, 0.145, 0.145] if id == 7 else [0.12,0.12,0.12] |
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target_sphere = trimesh.creation.icosphere(subdivisions=2, radius=0.15) |
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target_trans_matrix_sphere = trimesh.transformations.translation_matrix([0,-oriented_bounding_box.extents[1]/2*0.7,0]) |
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target_sphere.apply_transform(target_trans_matrix_sphere) |
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target_sphere.visual.vertex_colors = np.array([red_color] * len(target_sphere.vertices)) |
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target_points_list = [target_trans_matrix_sphere.tolist()] |
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contact_points_list = [] |
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contact_point_discription_list = [] |
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def add_contact_point(point_radius, pose:list, euler:list, discription: str): |
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contact_sphere = trimesh.creation.icosphere(subdivisions=2, radius=point_radius) |
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contact_trans_matrix_sphere = trimesh.transformations.translation_matrix(pose) @ trimesh.transformations.euler_matrix(euler[0], euler[1], euler[2]) |
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contact_sphere.apply_transform(contact_trans_matrix_sphere) |
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contact_sphere.visual.vertex_colors = np.array([red_color] * len(contact_sphere.vertices)) |
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contact_points_list.append(contact_trans_matrix_sphere.tolist()) |
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axis = trimesh.creation.axis(axis_length=1.5) |
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axis.apply_transform(contact_trans_matrix_sphere) |
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scene.add_geometry(axis) |
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scene.add_geometry(contact_sphere) |
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contact_point_discription_list.append(discription) |
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add_contact_point(0.3, [0, 0, 0], [0, -PI/2, 0], "Grab the shoes from top to bottom") |
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add_contact_point(0.3, [0, 0, 0], [0, PI/2, 0], "Grab the shoes from top to bottom") |
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transform_matrix = trimesh.transformations.euler_matrix(0,0,0) |
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transform_matrix = transform_matrix.tolist() |
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orientation_point = trimesh.creation.icosphere(subdivisions=2, radius=0.1) |
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orientation_point_sphere = trimesh.transformations.translation_matrix([0,0,oriented_bounding_box.extents[2]/2]) |
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orientation_point.apply_transform(orientation_point_sphere) |
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orientation_point.visual.vertex_colors = np.array([green_color] * len(orientation_point.vertices)) |
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orientation_point_list = orientation_point_sphere.tolist() |
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scene.add_geometry(orientation_point) |
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axis1 = trimesh.creation.axis(axis_length=1.5) |
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axis1.apply_transform(transform_matrix) |
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functional_sphere = trimesh.creation.icosphere(subdivisions=2, radius=0.15) |
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functional_trans_matrix_sphere = trimesh.transformations.translation_matrix(target_trans_matrix_sphere[:3,3]) @ trimesh.transformations.euler_matrix(PI/2,0,0) |
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functional_sphere.apply_transform(functional_trans_matrix_sphere) |
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functional_sphere.visual.vertex_colors = np.array([blue_color] * len(functional_sphere.vertices)) |
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functional_matrix = functional_trans_matrix_sphere.tolist() |
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axis = trimesh.creation.axis(axis_length=1.5) |
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axis.apply_transform(functional_trans_matrix_sphere) |
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scene.add_geometry(axis) |
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scene.add_geometry(functional_sphere) |
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data = { |
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'center': oriented_bounding_box.centroid.tolist(), |
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'extents': oriented_bounding_box.extents.tolist(), |
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'scale': scale, |
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'target_pose': target_points_list, |
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'contact_points_pose' : contact_points_list, |
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'transform_matrix': transform_matrix, |
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"functional_matrix": [functional_matrix], |
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'orientation_point': orientation_point_list, |
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'contact_points_group': [[0,1]], |
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'contact_points_mask': [True], |
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'contact_points_discription': contact_point_discription_list, |
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'target_point_discription': ["The center point on the bottom of the shoes."], |
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'functional_point_discription': ["Point0: The center point on the bottom of the shoes, and functional direction is the down side."], |
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'orientation_point_discription': ["The point is on the head of shoe."] |
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} |
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with open(save_path, 'w') as json_file: |
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json.dump(data, json_file, indent=4, separators=(',', ': ')) |
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axis = trimesh.creation.axis(axis_length=1.5,origin_size= 0.05) |
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scene.show() |
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if __name__ == "__main__": |
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for i in range(10): |
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create_model_data(i) |
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