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import argparse |
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from datasets import load_dataset |
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import open3d as o3d |
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import numpy as np |
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import random |
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def vis_hit_sample(sample): |
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""" |
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:param sample: HIT dataset sample |
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:return: |
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""" |
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pc = np.asarray(sample['body_cont_pc']) |
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pcd = o3d.geometry.PointCloud() |
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pcd.points = o3d.utility.Vector3dVector(pc) |
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pcd.paint_uniform_color([0.6509803922, 0.2901960784, 0.2823529412]) |
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pcd_front = pcd.__copy__() |
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mesh_verts = np.asarray(sample['smpl_dict']['verts']) |
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mesh_verts_free = np.asarray(sample['smpl_dict']['verts_free']) |
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mesh_faces = np.asarray(sample['smpl_dict']['faces']) |
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mesh = o3d.geometry.TriangleMesh() |
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mesh.vertices = o3d.utility.Vector3dVector(mesh_verts) |
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mesh.triangles = o3d.utility.Vector3iVector(mesh_faces) |
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mesh.paint_uniform_color([0.737254902, 0.7960784314, 0.8196078431]) |
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mesh_free = o3d.geometry.TriangleMesh() |
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mesh_free.vertices = o3d.utility.Vector3dVector(mesh_verts_free) |
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mesh_free.triangles = o3d.utility.Vector3iVector(mesh_faces) |
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mesh_free.paint_uniform_color([0.737254902, 0.7960784314, 0.8196078431]) |
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vis = o3d.visualization.Visualizer() |
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vis.create_window() |
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xyz = (-np.pi / 2, 0, 0) |
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R1 = o3d.geometry.get_rotation_matrix_from_xyz(xyz) |
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vis.add_geometry(mesh.rotate(R1, center=(0, 0, 0))) |
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vis.add_geometry(pcd.rotate(R1, center=(0, 0, 0))) |
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vis.add_geometry(mesh_free.translate((1.2, 0, 0))) |
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vis.add_geometry(mesh_free.rotate(R1, center=(0, 0, 0))) |
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vis.add_geometry(pcd_front.translate((1.2, 0, 0))) |
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vis.add_geometry(pcd_front.rotate(R1, center=(0, 0, 0))) |
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vis.get_render_option().mesh_show_wireframe = True |
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vis.get_render_option().point_size = 2 |
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vis.poll_events() |
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vis.update_renderer() |
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vis.run() |
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return 0 |
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if __name__ == '__main__': |
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parser = argparse.ArgumentParser(description='HIT dataset visualization') |
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parser.add_argument('--gender', type=str, default='male') |
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parser.add_argument('--split', type=str, default='train') |
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parser.add_argument('--idx', type=int, default=None) |
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args = parser.parse_args() |
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assert args.gender in ['male', 'female'] |
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assert args.split in ['train', 'validation', 'test'] |
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hit_dataset = load_dataset("varora/hit", args.gender, split=args.split) |
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N_dataset = hit_dataset.__len__() |
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if not args.idx: |
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idx = random.randint(0, N_dataset) |
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else: |
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idx = args.idx |
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hit_sample = hit_dataset[idx] |
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print(f"Visualizing sample no. {idx} in {args.gender}:{args.split}.") |
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vis_hit_sample(hit_sample) |
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