Added normals to prediction DataObject
This commit is contained in:
Si11ium
200
predict/clusters.txt
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predict/clusters.txt
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|
||||
1 6
|
||||
1.199843327204386384e-01 2.147723388671875178e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
3.000000000000000000e+00
|
||||
1 6
|
||||
1.199843327204386384e-01 1.347723388671874911e+00 5.645600001017252456e-01 -9.993677590519846055e-01 -4.875568776990416931e-04 -3.555059008941406640e-02
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
7.199833552042643747e-01 1.614390055338541741e+00 6.312266667683918975e-01 -3.555141376242736823e-02 1.702250673669388707e-03 9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
7.199833552042643747e-01 2.281056722005208481e+00 6.312266667683918975e-01 -4.267321706433224227e-04 9.999984323090402860e-01 -1.718510726318397703e-03
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
5.866500218709309600e-01 1.881056722005208348e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
1.199843327204386384e-01 1.547723388671875089e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
1.866510073343912723e-01 1.747723388671875044e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
2.533176740010579242e-01 2.081056722005208304e+00 6.312266667683918975e-01 -3.555141376242736823e-02 1.702250673669388707e-03 9.993663989359141686e-01
|
||||
3.000000000000000000e+00
|
||||
1 6
|
||||
7.199833552042643747e-01 1.281056722005208259e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
7.199833552042643747e-01 1.881056722005208348e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
1.199843327204386384e-01 1.747723388671875044e+00 6.312266667683918975e-01 -3.555141376242736823e-02 1.702250673669388707e-03 9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
6.533166885375976118e-01 2.014390055338541874e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
1.199843327204386384e-01 1.481056722005208437e+00 5.645600001017252456e-01 -9.993677590519846055e-01 -4.875568776990416931e-04 -3.555059008941406640e-02
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
1.199843327204386384e-01 1.414390055338541563e+00 4.978933334350585938e-01 3.555141376242736823e-02 -1.702250673669388707e-03 -9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
2.533176740010579242e-01 1.747723388671875044e+00 6.312266667683918975e-01 -3.555141376242736823e-02 1.702250673669388707e-03 9.993663989359141686e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
5.866500218709309600e-01 2.281056722005208481e+00 6.312266667683918975e-01 -2.872351790370336957e-02 6.003545025065727403e-01 7.992180120838876523e-01
|
||||
1.000000000000000000e+00
|
||||
1 6
|
||||
3.866499900817871316e-01 2.281056722005208481e+00 5.645600001017252456e-01 -4.267321706433224227e-04 9.999984323090402860e-01 -1.718510726318397703e-03
|
||||
File diff suppressed because it is too large
Load Diff
101251
predict/pointclouds/1_pc.xyz
Normal file
101251
predict/pointclouds/1_pc.xyz
Normal file
File diff suppressed because it is too large
Load Diff
@ -227,7 +227,7 @@ def draw_clusters(clusters):
|
||||
def draw_sample_data(sample_data, colored_normals = False):
|
||||
|
||||
cloud = o3d.PointCloud()
|
||||
cloud.points = o3d.Vector3dVector(sample_data[:,:3])
|
||||
cloud.points = o3d.Vector3dVector(sample_data[:, :3])
|
||||
cloud.colors = \
|
||||
o3d.Vector3dVector(label2color(sample_data[:, 6].astype(int)) if not colored_normals else sample_data[:, 3:6])
|
||||
|
||||
@ -243,7 +243,7 @@ sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/../') # add proj
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument('--npoints', type=int, default=2048, help='resample points number')
|
||||
parser.add_argument('--model', type=str, default='./checkpoint/seg_model_custom_30.pth', help='model path')
|
||||
parser.add_argument('--model', type=str, default='./checkpoint/seg_model_custom_3.pth', help='model path')
|
||||
parser.add_argument('--sample_idx', type=int, default=0, help='select a sample to segment and view result')
|
||||
parser.add_argument('--headers', type=strtobool, default=True, help='if raw files come with headers')
|
||||
parser.add_argument('--collate_per_segment', type=strtobool, default=True, help='whether to look at pointclouds or sub')
|
||||
@ -260,7 +260,7 @@ if __name__ == '__main__':
|
||||
print('Create data set ..')
|
||||
|
||||
dataset_folder = './data/raw/predict/'
|
||||
pointcloud_file = './pointclouds/0_pc.xyz'
|
||||
pointcloud_file = './pointclouds/1_pc.xyz'
|
||||
|
||||
# Load and pre-process point cloud
|
||||
pcloud = pc.read_pointcloud(pointcloud_file)
|
||||
@ -304,7 +304,7 @@ if __name__ == '__main__':
|
||||
mode='predict',
|
||||
root_dir='data',
|
||||
npoints=opt.npoints,
|
||||
refresh=False,
|
||||
refresh=True,
|
||||
collate_per_segment=opt.collate_per_segment,
|
||||
has_variations=opt.has_variations,
|
||||
headers=opt.headers
|
||||
|
||||
Reference in New Issue
Block a user