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Issues list

您好，为什么我跑自己的数据集准确度为零呢
#107 by jun214384468 was closed Jan 3, 2020
1
有没有方法在不用pytorch0.3.1的情况下运行版本，比如0.4.1
#106 by xo123 was closed Nov 20, 2019
3
resume training with My own dataset acc problem
#105 by johnSmith1990 was closed Nov 1, 2019
8
Replacement of - for $ cause problem
#104 by johnSmith1990 was closed Oct 26, 2019
resume training
#103 by johnSmith1990 was closed Oct 25, 2019
5
Is there any rectified methods processing arbitrary length samples without fixed input(e.g. 32x100) in a batch
#102 by liangzimei was closed Oct 22, 2019
6
The performance is low
#101 by kewin1807 was closed Oct 25, 2019
4
How to config params or code for the 1st, 2nd, 3rd stage of training respectively?
#100 by Cuongvn08 was closed Oct 10, 2019
1
Difficult to recognition 'L' and 'AA' in a well aligned random sequence.
#99 by huntkao was closed Oct 10, 2019
1
confused in lmdb format
#98 by johnSmith1990 was closed Oct 10, 2019
3
Do you compare the performance under different calibration network?
#97 by Muran337287 was closed Oct 10, 2019
1
Difference between : left to right , right to left
#96 by xadxxadx was closed Oct 10, 2019
1
How to train custom data??
#95 by kewin1807 was closed Oct 10, 2019
1
Low accuracy on different datasets
#94 by GRIGORR was closed Oct 10, 2019
2
关于moran网络输入图片尺寸
#93 by yourblinggirl was closed Oct 10, 2019
1
权值初始化
#92 by JingLiJJ was closed Oct 10, 2019
1
中文文本行识别预测输出都是固定长度吗？
#91 by kUhNCwlVbsWXClUR was closed Jul 24, 2019
5
train
#88 by yuzhouzhili was closed Jul 30, 2019
MIT License
#87 by YacobBY was closed Jul 22, 2019
2
different accuracy under different batchsize in inference
#86 by Muran337287 was closed Oct 10, 2019
3
lmdb中data.mdb 大小不一致问题
#85 by jiaying96 was closed Oct 10, 2019
3
关于大小写敏感问题
#84 by jiaying96 was closed Oct 10, 2019
2
为什么测试集真实标注里有大写和小写字母，但是 main.py中for pred, target in zip(sim_preds, cpu_texts)里target（个人理解为label）全部为小写字母
#83 by jiaying96 was closed Jul 11, 2019
训练出来的模型不能使用
#82 by wuxiaolianggit was closed Oct 10, 2019
3
训练出问题
#81 by wuxiaolianggit was closed Oct 10, 2019
1
ProTip! Exclude everything labeled bug with -label:bug.