Closed Gavin-zsr closed 2 years ago
当我用自己的数据训练模型时，模型会在训练之后的验证过程中卡住导致程序无法继续运行，请问这是什么原因呢，有无解决办法？ print("The validation mode is: detection and recognition.") Tp = 0 Tn_1 = 0 Tn_2 = 0 pdb.set_trace() # 调试时运行到这下一步就执行不下去了 for step, (images, point_label_list, lpchar_label_list, lpchar_length_list, name_list) in enumerate(loader_val): step += 1 #卡住 start_time = time.time()
print("The validation mode is: detection and recognition.") Tp = 0 Tn_1 = 0 Tn_2 = 0 pdb.set_trace() # 调试时运行到这下一步就执行不下去了 for step, (images, point_label_list, lpchar_label_list, lpchar_length_list, name_list) in enumerate(loader_val): step += 1 #卡住 start_time = time.time()
当我用自己的数据训练模型时，模型会在训练之后的验证过程中卡住导致程序无法继续运行，请问这是什么原因呢，有无解决办法？
print("The validation mode is: detection and recognition.") Tp = 0 Tn_1 = 0 Tn_2 = 0 pdb.set_trace() # 调试时运行到这下一步就执行不下去了 for step, (images, point_label_list, lpchar_label_list, lpchar_length_list, name_list) in enumerate(loader_val): step += 1 #卡住 start_time = time.time()