81 lines
2.9 KiB
Python
81 lines
2.9 KiB
Python
import os
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import sys
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import time
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import cv2
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import random
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import numpy as np
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import tensorflow as tf
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from dataset import DatasetFactory, StaticDataset
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from custom_utils.custom_utils import batch_to_dict, UV2Mesh, _maskFaces
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import plotly.graph_objects as go
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import plotly.express as ex
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import cmapy as cm
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if __name__ == '__main__':
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os.environ["CUDA_VISIBLE_DEVICES"] = "6"
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uv2mesh = UV2Mesh()
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F = np.load("custom_utils/smpl_faces.npy")
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factory = DatasetFactory()
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signature_dynamic = { 'id': (),
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# 'pose_shape': (72 + 11,),
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# 'uv_posed': (3, 512, 256,),
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# 'uv_body_posed': (3, 512, 256,),
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# 'mesh_body_posed': (14475, 3,),
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# 'mesh_posed': (14475, 3,),
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'mesh_unposed': (14475, 3,),
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'uv_unposed': (3, 512, 256,),
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# 'uv_curvature': (512, 256),
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# 'mesh_curvature': (14475)
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}
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signature_static = { #'uv_static': (3, 512, 256,),
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# 'mesh_static': (14475, 3,),
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'mesh_mask': (14475,),
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'uv_mask': (512, 256,),
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# 'uv_shaped_body': (3, 512, 256,),
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}
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dataset = factory.get_dataset(folder='/home/workspace/local-data/jumpsuit_20/train',
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batch_size=1,
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signature=signature_dynamic)
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static_dataset = StaticDataset(folder='/home/workspace/local-data/jumpsuit_20/train',
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signature=signature_static)
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for i, batch in enumerate(dataset):
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print(i)
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batch = static_dataset.expand_batch(batch_to_dict(batch, signature_dynamic))
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uv_unposed = np.squeeze(batch['uv_unposed'].numpy())
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mesh_unposed = np.squeeze(batch['mesh_unposed'].numpy())
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mask = np.squeeze(batch['mesh_mask'].numpy()).astype(bool)
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_, faces = _maskFaces(np.ones((14475, 3)), F, mask)
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mesh_unposed[:,1] += (1 * i)
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fig = go.Figure(data=[
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go.Mesh3d(
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# 8 vertices of a cube
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x=mesh_unposed[mask,0],
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y=mesh_unposed[mask,2],
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z=mesh_unposed[mask,1],
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# i, j and k give the vertices of triangles
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i = faces[:,0],
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j = faces[:,1],
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k = faces[:,2],
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)
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])
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fig.update_layout(scene_aspectmode='manual', scene_aspectratio=dict(x=1, y=10, z=1))
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fig.update_layout(
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scene = dict(
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xaxis = dict(nticks=4, range=[-1,1],),
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yaxis = dict(nticks=4, range=[-1,19],),
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zaxis = dict(nticks=4, range=[-1,1],),)
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)
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fig.show()
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print() |