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keras-image-classifer-framework's Issues

Error in running the predict.py

when I run the predict.py as you said in your blog: python predict.py --model traffic_sign.model -i ../2.png -s
But it turn out this error:
TypeError: init() takes at least 4 arguments (3 given)
How can I to solve it?

你确定你的代码没有错吗

Traceback (most recent call last):
File "./traffic-sign-code/train.py", line 20, in
from net.lenet import LeNet
ModuleNotFoundError: No module named 'net'

the following arguments are required

Using TensorFlow backend.
usage: train.py [-h] -dtest DATASET_TEST -dtrain DATASET_TRAIN -m MODEL
                [-p PLOT]
train.py: error: the following arguments are required: -dtest/--dataset_test, -dtrain/--dataset_train, -m/--model

Input arrays should have the same number of samples as target arrays.

ValueError: Input arrays should have the same number of samples as target arrays. Found 2520 input samples and 4575 target samples.

trainX, trainY = (4575, 32, 32, 3) (4575, 62)
testX, TestY = (2520, 32, 32, 3) (2520, 62)

训练样本向量化得到的数组是(4575,62),而验证集向量化得到的数组只有(2520,62),无法进行像素一一对比。

请问,这是哪一步出了问题呢?

关于发票数据问题

请问下, 在发票分类项目里面, 数据可能比较隐私. 所以我想问下,发票每个类别的数量大概是多少?方便我去收集
谢谢

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