./test.sh error about lstm_ctc_ocr HOT 7 OPEN

@ilovin 训练集精度上去了，测试集精度为0，能帮忙说一下原因吗？而且训练的时候验证集每次用的都是一样的数字。也不是我验证集里面的数据。

from lstm_ctc_ocr.

测试的时候输出是啥

from lstm_ctc_ocr.

4_31,759.jpg 15,2
6_3.jpg 78
7_996.jpg 7899
9_732.jpg 7,9
12_40,986.jpg 180,8
16_38,854.jpg 1,8606
26_0.jpg 740
36_0.jpg 780
37_0.jpg 780
43_367.jpg 7,6
45_7.jpg 74
47_10.jpg 780
49_0.jpg 70
55_14,950.jpg 149,8
56_0.jpg 7,0
60_0.jpg 7,0
65_0.jpg 747
67_0.jpg 746
这是部分输出结果，下划线后面是标签，我训练的是十个数字加一个逗号，共11个字符，图片尺寸(160,60)时一直不收敛（迭代十几万次），调整到(120,45)很快收敛了，信息如下：
iter: 100 / 1000000, total loss: 13.0400743, lr: 0.0001000
speed: 0.102s / iter
iter: 200 / 1000000, total loss: 10.5619059, lr: 0.0001000
speed: 0.117s / iter
iter: 300 / 1000000, total loss: 7.7125740, lr: 0.0001000
speed: 0.119s / iter
iter: 400 / 1000000, total loss: 2.0175159, lr: 0.0001000
speed: 0.111s / iter
iter: 500 / 1000000, total loss: 0.5158803, lr: 0.0001000
speed: 0.118s / iter
iter: 600 / 1000000, total loss: 0.3201181, lr: 0.0001000
speed: 0.115s / iter
iter: 700 / 1000000, total loss: 0.1470777, lr: 0.0001000
speed: 0.113s / iter
iter: 800 / 1000000, total loss: 0.4072588, lr: 0.0001000
speed: 0.115s / iter
iter: 900 / 1000000, total loss: 0.2619937, lr: 0.0001000
speed: 0.117s / iter
seq 0: origin: [8, 1, 6, 11] decoded:[8, 1, 6, 11]
seq 1: origin: [8, 7, 1, 10, 3, 4, 10, 5] decoded:[8, 7, 1, 10, 3, 4, 10, 5]
seq 2: origin: [2, 2, 4, 2, 3] decoded:[2, 2, 4, 2, 3]
seq 3: origin: [4, 11] decoded:[4, 11]
seq 4: origin: [3] decoded:[3]
accuracy: 0.98438
iter: 1000 / 1000000, total loss: 0.0657427, lr: 0.0001000
speed: 0.127s / iter
iter: 1100 / 1000000, total loss: 0.0259138, lr: 0.0001000
speed: 0.119s / iter
iter: 1200 / 1000000, total loss: 0.0610742, lr: 0.0001000
speed: 0.113s / iter
iter: 1300 / 1000000, total loss: 0.0725027, lr: 0.0001000
speed: 0.109s / iter
('loss: ', 0.014755567)
Wrote snapshot to: /home/liu/lstm_ctc_ocr-beta/output/lstm_ctc/lstm_ctc_iter_2.ckpt
seq 0: origin: [8, 1, 6, 11] decoded:[8, 1, 6, 11]
seq 1: origin: [8, 7, 1, 10, 3, 4, 10, 5] decoded:[8, 7, 1, 10, 3, 4, 10, 5]
seq 2: origin: [2, 2, 4, 2, 3] decoded:[2, 2, 4, 2, 3]
seq 3: origin: [4, 11] decoded:[4, 11]
seq 4: origin: [3] decoded:[3]
accuracy: 1.00000
iter: 1400 / 1000000, total loss: 0.1878222, lr: 0.0001000
speed: 0.113s / iter
iter: 1500 / 1000000, total loss: 0.0301566, lr: 0.0001000
speed: 0.117s / iter
('loss: ', 0.0140728075)
Wrote snapshot to: /home/liu/lstm_ctc_ocr-beta/output/lstm_ctc/lstm_ctc_iter_2.ckpt
seq 0: origin: [8, 1, 6, 11] decoded:[8, 1, 6, 11]
seq 1: origin: [8, 7, 1, 10, 3, 4, 10, 5] decoded:[8, 7, 1, 10, 3, 4, 10, 5]
seq 2: origin: [2, 2, 4, 2, 3] decoded:[2, 2, 4, 2, 3]
seq 3: origin: [4, 11] decoded:[4, 11]
seq 4: origin: [3] decoded:[3]
accuracy: 1.00000
iter: 1600 / 1000000, total loss: 0.2451135, lr: 0.0001000
speed: 0.113s / iter
('loss: ', 0.01386846)
但是测试结果就如上所示了，所以麻烦问一下是什么情况，万分感谢。
PS：
seq 0: origin: [8, 1, 6, 11] decoded:[8, 1, 6, 11]
seq 1: origin: [8, 7, 1, 10, 3, 4, 10, 5] decoded:[8, 7, 1, 10, 3, 4, 10, 5]
seq 2: origin: [2, 2, 4, 2, 3] decoded:[2, 2, 4, 2, 3]
seq 3: origin: [4, 11] decoded:[4, 11]
seq 4: origin: [3] decoded:[3]
这些数据不是我val里面的数据标签，不知道读的哪里的。

from lstm_ctc_ocr.

你测试数据和训练数据是同分布吗，都是reptcha生成的？

from lstm_ctc_ocr.

数据不是生成的，是我自己的数据，一批数据随机挑出2000测试集，剩下30000多是训练集和验证集。

from lstm_ctc_ocr.

我觉得有可能是你测试的config没够改 测试时的图像和训练没有同分布

from lstm_ctc_ocr.

测试集数据跟训练集分布是一样的，用另外的代码跑这些数据集都正常。我觉得还是图片尺寸和网络之间的问题，（160，60）迭代十几万次都不收敛，改成(120，45）的迭代几轮就收敛了可能不是正常收敛，我再仔细研究一下，找到错误原因后再来给大家分享吧。有遇到类似情况的朋友希望分享下解决方案。

from lstm_ctc_ocr.