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import os
import random # 新增:导入 random 模块用于随机采样
from display_result import show_to_pr as sp
import numpy as np
def extract_process_data_from_subfolders(root_path, shuffle=False):
"""
从指定路径下的每个子文件夹中提取 process.data 文件的内容,并与子文件夹名称建立对应关系。
如果 shuffle 为 True则随机从 root_path 中选择 65 个子文件夹。
"""
# 存储子文件夹名称与 process.data 文件内容的对应关系
result = {}
# 获取所有子文件夹路径
subfolders = [folder for folder in os.listdir(root_path) if os.path.isdir(os.path.join(root_path, folder))]
# 如果 shuffle 为 True则随机选择 65 个子文件夹
if shuffle and len(subfolders) > 114:
subfolders = random.sample(subfolders, 114)
# 遍历指定路径下的所有子文件夹
for folder_name in subfolders:
folder_path = os.path.join(root_path, folder_name)
if "process.data" in os.listdir(folder_path):
file_path = os.path.join(folder_path, "process.data")
try:
# 读取 process.data 文件内容
with open(file_path, 'r', encoding='utf-8') as file:
full_content = file.read()
# 提取 "gift identify result:" 后的内容
if "gift identify result:" in full_content:
# content = full_content.split("gift identify result:", 1)[1].strip()
# content = content.replace('\n', '')
# content = content.split("select back tracking feats index:", 1)[0].strip()
# # 去掉 content 中的换行符
# content = content.replace('\n', '')
content = \
full_content.split('gift identify result:', 1)[1].split('select back tracking feats index:')[
0].replace('\n', '')
# 新增:去掉逗号后面的空格
content = content.replace(', ', ',')
# 新增:将 content 以逗号为分隔符分成若干组
groups = content.split(',')
# 修改:以空格为分隔符取每组的前一个字符,并转成列表,同时去掉空字符串并转换为整数
result_list = [float(group.split(' ')[0]) for group in groups if group.split(' ')[0]]
result_list = sorted(result_list, reverse=True)
# if shuffle and result_list and result_list[0] > 0.68:
# continue
# 将结果列表存入字典
result[os.path.basename(folder_path)] = result_list
else:
print(f"文件中未找到 'gift identify result:' 标记: {file_path}")
continue
except Exception as e:
print(f"读取文件失败: {file_path}, 错误信息: {e}")
if len(result) >= 113:
break
print(result)
return result
def estimate(data_list, type=None):
number = round(len(data_list) * 0.2)
if number > 0:
if type == 0:
result = round(sum(data_list[:number]) / number, 2) # 修改:使用 round() 函数保留小数点后两位
elif type == 1:
result = data_list
return result
else:
return 0
def deal_with_process_data(gift_data_dict, comm_data_dict):
targets = []
outputs = []
type = 1 # type 0:qu
for gift, comm, gift_evnt_name, comm_evnt_name in zip(gift_data_dict.values(), comm_data_dict.values(),
gift_data_dict.keys(), comm_data_dict.keys()):
outputs += [estimate(gift, type), estimate(comm, type)]
targets += [1, 0]
# print(outputs, targets)
if type == 0:
sp(np.array(targets), np.array(outputs), type)
elif type == 1:
sp(np.array(targets), outputs, type)
# 调用函数并打印结果
if __name__ == "__main__":
# 指定根路径
gift_path = "/testDataAndLogs/测试视频数据以及日志/全实时_YoloV10s/赠品测试/正样本"
comm_path = "/testDataAndLogs/测试视频数据以及日志/全实时_YoloV10s/赠品测试/负样本"
# 提取 process.data 文件内容
gift_data_dict = extract_process_data_from_subfolders(gift_path, shuffle=False) # 修改:新增 shuffle 参数
comm_data_dict = extract_process_data_from_subfolders(comm_path, shuffle=True) # 修改:新增 shuffle 参数
deal_with_process_data(gift_data_dict, comm_data_dict)