怎么预测出来的概率全是0 啊 about cps-ocr-engine

[hellobug-fei]

相同问题

[zhaojc001]

===============Eval a batch=======================
I0809 01:34:06.247253 139943277836096 Chinese_OCR.py:228] ===============Eval a batch=======================
the step 15901.0 test accuracy: 0.0
I0809 01:34:06.247759 139943277836096 Chinese_OCR.py:230] the step 15901.0 test accuracy: 0.0
===============Eval a batch=======================
I0809 01:34:06.247858 139943277836096 Chinese_OCR.py:231] ===============Eval a batch=======================
the step 15902.0 takes 2.14595580101 loss 0.472916126251
I0809 01:34:08.393987 139943277836096 Chinese_OCR.py:215] the step 15902.0 takes 2.14595580101 loss 0.472916126251
the step 15903.0 takes 2.17172503471 loss 0.442270755768
I0809 01:34:10.566279 139943277836096 Chinese_OCR.py:215] the step 15903.0 takes 2.17172503471 loss 0.442270755768
the step 15904.0 takes 2.13369894028 loss 0.459591686726
I0809 01:34:12.700567 139943277836096 Chinese_OCR.py:215] the step 15904.0 takes 2.13369894028 loss 0.459591686726
the step 15905.0 takes 2.14362502098 loss 0.452670156956
I0809 01:34:14.844719 139943277836096 Chinese_OCR.py:215] the step 15905.0 takes 2.14362502098 loss 0.452670156956
the step 15906.0 takes 2.18492293358 loss 0.407150357962
I0809 01:34:17.030210 139943277836096 Chinese_OCR.py:215] the step 15906.0 takes 2.18492293358 loss 0.407150357962
the step 15907.0 takes 2.17844486237 loss 0.439693808556
I0809 01:34:19.209281 139943277836096 Chinese_OCR.py:215] the step 15907.0 takes 2.17844486237 loss 0.439693808556
the step 15908.0 takes 2.28083300591 loss 0.459465205669
I0809 01:34:21.490731 139943277836096 Chinese_OCR.py:215] the step 15908.0 takes 2.28083300591 loss 0.459465205669
the step 15909.0 takes 2.06452488899 loss 0.453502476215
I0809 01:34:23.555757 139943277836096 Chinese_OCR.py:215] the step 15909.0 takes 2.06452488899 loss 0.453502476215
the step 15910.0 takes 2.10654902458 loss 0.529790282249
I0809 01:34:25.662868 139943277836096 Chinese_OCR.py:215] the step 15910.0 takes 2.10654902458 loss 0.529790282249
the step 15911.0 takes 2.06580090523 loss 0.42560890317
I0809 01:34:27.729223 139943277836096 Chinese_OCR.py:215] the step 15911.0 takes 2.06580090523 loss 0.42560890317
the step 15912.0 takes 2.1419570446 loss 0.420587509871
I0809 01:34:29.871709 139943277836096 Chinese_OCR.py:215] the step 15912.0 takes 2.1419570446 loss 0.420587509871
the step 15913.0 takes 2.15385508537 loss 0.482629299164
I0809 01:34:32.026139 139943277836096 Chinese_OCR.py:215] the step 15913.0 takes 2.15385508537 loss 0.482629299164
the step 15914.0 takes 2.1051170826 loss 0.447850853205
I0809 01:34:34.131865 139943277836096 Chinese_OCR.py:215] the step 15914.0 takes 2.1051170826 loss 0.447850853205
the step 15915.0 takes 2.1156938076 loss 0.467434614897
I0809 01:34:36.248105 139943277836096 Chinese_OCR.py:215] the step 15915.0 takes 2.1156938076 loss 0.467434614897
the step 15916.0 takes 2.11783099174 loss 0.542848229408
I0809 01:34:38.366605 139943277836096 Chinese_OCR.py:215] the step 15916.0 takes 2.11783099174 loss 0.542848229408
the step 15917.0 takes 2.13679885864 loss 0.398986518383
I0809 01:34:40.503909 139943277836096 Chinese_OCR.py:215] the step 15917.0 takes 2.13679885864 loss 0.398986518383
the step 15918.0 takes 2.12822794914 loss 0.517429947853
I0809 01:34:42.632627 139943277836096 Chinese_OCR.py:215] the step 15918.0 takes 2.12822794914 loss 0.517429947853
the step 15919.0 takes 2.14565396309 loss 0.430533587933
I0809 01:34:44.778858 139943277836096 Chinese_OCR.py:215] the step 15919.0 takes 2.14565396309 loss 0.430533587933
the step 15920.0 takes 2.1857509613 loss 0.451907962561
I0809 01:34:46.965162 139943277836096 Chinese_OCR.py:215] the step 15920.0 takes 2.1857509613 loss 0.451907962561
the step 15921.0 takes 2.15857505798 loss 0.44280141592
I0809 01:34:49.124353 139943277836096 Chinese_OCR.py:215] the step 15921.0 takes 2.15857505798 loss 0.44280141592
the step 15922.0 takes 2.15956687927 loss 0.51418286562
I0809 01:34:51.284455 139943277836096 Chinese_OCR.py:215] the step 15922.0 takes 2.15956687927 loss 0.51418286562
the step 15923.0 takes 2.12021303177 loss 0.505261421204
I0809 01:34:53.405194 139943277836096 Chinese_OCR.py:215] the step 15923.0 takes 2.12021303177 loss 0.505261421204
the step 15924.0 takes 2.20005011559 loss 0.48279723525
I0809 01:34:55.605818 139943277836096 Chinese_OCR.py:215] the step 15924.0 takes 2.20005011559 loss 0.48279723525
the step 15925.0 takes 2.11905312538 loss 0.411675512791

[knavezl]

参考#17 方法，重新训练可解决

[mHacks2021]

一样的