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lee
2025-06-11 15:23:50 +08:00
commit 37ecef40f7
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'''
现场1:N测试确定阈值
'''
import os
import numpy as np
import matplotlib.pyplot as plt
def showHist(filtered_data):
Same = filtered_data[:, 1].astype(np.float32)
Cross = filtered_data[:, 2].astype(np.float32)
fig, axs = plt.subplots(2, 1)
axs[0].hist(Same, bins=50, edgecolor='black')
axs[0].set_xlim([-0.1, 1])
axs[0].set_title('first')
axs[1].hist(Cross, bins=50, edgecolor='black')
axs[1].set_xlim([-0.1, 1])
axs[1].set_title('second')
# plt.savefig('plot.png')
plt.show()
def get_tartget_list(nested_list):
filtered_list = np.array(list(filter(lambda x: len(x) >= 2, nested_list))) # 去除无轨迹的数据
filtered_correct = filtered_list[filtered_list[:, 0] != 'wrong'] # 获取比对正确的时项
filtered_wrong = filtered_list[filtered_list[:, 0] == 'wrong'] # 获取比对错误的时项
showHist(filtered_correct)
# showHist(filtered_wrong)
print(filtered_list)
def deal_process(file_pth):
flag = False
event = file_pth.split('\\')[-2]
target_barcode = file_pth.split('\\')[-2].split('_')[-1]
temp_list = []
with open(file_pth, 'r') as f:
for line in f:
if 'oneToOne' in line:
flag = True
continue
if flag:
line = line.replace('\n', '')
comparison_data = line.split(',')
forecast_barcode = comparison_data[0]
value = comparison_data[-1].split(':')[-1]
if value == '':
break
if len(temp_list) == 0:
if forecast_barcode == target_barcode:
temp_list.append('correct')
else:
temp_list.append('wrong')
temp_list.append(float(value))
temp_list.append(event)
return temp_list
def anaylze_scratch(scratch_pth):
purchase, back = [], []
for root, dirs, files in os.walk(scratch_pth):
if len(root) > 0:
if len(root.split('_')) == 4: # 加购
process = os.path.join(root, 'process.data')
if not os.path.exists(process):
continue
purchase.append(deal_process(process))
elif len(root.split('_')) == 3:
process = os.path.join(root, 'process.data')
if not os.path.exists(process):
continue
back.append(deal_process(process))
# get_tartget_list(purchase)
get_tartget_list(back)
print(purchase)
if __name__ == '__main__':
# scratch_pth = r'\\192.168.1.28\\share\\测试视频数据以及日志\\各模块测试记录\\展厅测试\\1108_展厅模型v800测试\\'
scratch_pth = r'\\192.168.1.28\\share\\测试视频数据以及日志\\各模块测试记录\\展厅测试\\1120_展厅模型v801测试\\扫A放A\\'
anaylze_scratch(scratch_pth)