senlinuc / caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构
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ctcloss = 0 (* 1 = 0 loss) #133

Closed Ryansanity closed 3 years ago

Ryansanity commented 3 years ago

请问作者我在训练的时候出现如下情况: Test net output #0: acc = 0 I0806 15:36:56.926146 12768 solver.cpp:409] Test net output #1: acc = 0 I0806 15:36:56.926173 12768 solver.cpp:409] Test net output #2: ctcloss = 0 ( 1 = 0 loss) I0806 15:36:56.974421 12768 solver.cpp:231] Iteration 0, loss = 0 I0806 15:36:56.974463 12768 solver.cpp:249] Train net output #0: ctcloss = 0 ( 1 = 0 loss) I0806 15:36:56.974516 12768 sgd_solver.cpp:106] Iteration 0, lr = 0.0001 I0806 15:37:10.347798 12768 solver.cpp:231] Iteration 200, loss = 0 I0806 15:37:10.347848 12768 solver.cpp:249] Train net output #0: ctcloss = 0 ( 1 = 0 loss) I0806 15:37:10.347867 12768 sgd_solver.cpp:106] Iteration 200, lr = 0.0001 I0806 15:37:23.756043 12768 solver.cpp:231] Iteration 400, loss = 0 I0806 15:37:23.756104 12768 solver.cpp:249] Train net output #0: ctcloss = 0 ( 1 = 0 loss) I0806 15:37:23.756115 12768 sgd_solver.cpp:106] Iteration 400, lr = 0.0001 I0806 15:37:37.147478 12768 solver.cpp:231] Iteration 600, loss = 0 I0806 15:37:37.147550 12768 solver.cpp:249] Train net output #0: ctcloss = 0 ( 1 = 0 loss) I0806 15:37:37.147568 12768 sgd_solver.cpp:106] Iteration 600, lr = 0.0001 I0806 15:37:50.544185 12768 solver.cpp:231] Iteration 800, loss = 0 I0806 15:37:50.544235 12768 solver.cpp:249] Train net output #0: ctcloss = 0 ( 1 = 0 loss) I0806 15:37:50.544246 12768 sgd_solver.cpp:106] Iteration 800, lr = 0.0001 请问是我训练数据标签的错误嘛?我的标签是不定长的,短的用10000补齐成了统一长度。求大神回复,谢谢。