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generate curv with 100

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luni
2023-01-28 19:35:10 +00:00
parent a63a47d84e
commit b121ee25e1
2 changed files with 5 additions and 2 deletions
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aaa_helpers.txt
+2
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@@ -1,3 +1,5 @@
nohup python curvature_labels.py > nohup/curv_labels_train_skirt_15k_25k.out 2>&1 &
one final convolutional layer for smoothing, on the final coordinates one final convolutional layer for smoothing, on the final coordinates
skirts!!!! skirts!!!!
curvature_labels.py
+3 -2
View File
@@ -252,8 +252,8 @@ def read_raw_curvatures(folder, frames, neighbourhood):
if __name__ == '__main__': if __name__ == '__main__':
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument("-f", "--folder", help = "process the given folder", default=r'/home/workspace/data/dataset/local-cache/train_skirt') parser.add_argument("-f", "--folder", help = "process the given folder", default=r'/home/workspace/data/dataset/local-cache/train_skirt')
parser.add_argument("-s", "--start", help = "start of range", default=5000) parser.add_argument("-s", "--start", help = "start of range", default=15000)
parser.add_argument("-e", "--end", help = "end of range", default=15000) parser.add_argument("-e", "--end", help = "end of range", default=25000)
parser.add_argument("-n", "--name", help = "end of range", default="lhunor") parser.add_argument("-n", "--name", help = "end of range", default="lhunor")
args = parser.parse_args() args = parser.parse_args()
@@ -274,6 +274,7 @@ if __name__ == '__main__':
dist = np.load('custom_data/dijkstra_skirt.npy') dist = np.load('custom_data/dijkstra_skirt.npy')
print('SKIRT' if is_skirt else 'NOT SKIRT') print('SKIRT' if is_skirt else 'NOT SKIRT')
print(f'params: -f {args.folder} -s {args.start} -e {args.end} -n {args.name} -skirt {is_skirt} -neigh {neighbourhood}')
# frames = sorted(os.listdir(os.path.join(folder, 'mesh_posed')))[int(args.start):int(args.end)] # frames = sorted(os.listdir(os.path.join(folder, 'mesh_posed')))[int(args.start):int(args.end)]
# frames = [frame.split('.')[0] for frame in frames] # frames = [frame.split('.')[0] for frame in frames]