import numpy as np
import os
import glob
if __name__ == '__main__':
for i in range(10,59):
path66 = r'C:\Users\320133514\Desktop\new-centwe-line-all\dataset' + str(f'{i:02d}') + '\\'
txt_files = glob.glob(os.path.join(path66, '*.txt'))
# for filename in txt_files:
for j in range(len(txt_files)):
# print("The length of the file name is:", len(filename))
# print(filename)
F1 = txt_files[j]
for k in range(j+1,len(txt_files)):
F2 = txt_files[k]
print("F1",F1)
print("F2",F2)
txt_data1 = np.loadtxt(F1, dtype=np.float32)
txt_data2 = np.loadtxt(F2, dtype=np.float32)
center1 = txt_data1[..., 0:3]
center2 = txt_data2[..., 0:3]
th1 = center1
th2 = center2
# filename = path66 + "3.txt"
for p in range(len(th1) - 1, -1, -1):
for t in range(len(th2) - 1, -1, -1):
v0 = th1[p]
v1 = th2[t]
dist = np.linalg.norm(v1 - v0).astype(np.float16)
gap = 5
if dist < gap:
print("p", p, v0)
print("j", t, v1)
break
if dist < gap:
filename = F2
print(filename)
with open(filename, 'r') as f:
lines = f.readlines()[t + gap:]
with open(filename, 'w') as f:
f.writelines(lines)
break
print("--------距离-------ok--------------")
对比文件,通过距离删掉相近重复点
于 2023-06-26 15:13:53 首次发布