Introduction - If you have any usage issues, please Google them yourself
The project is based on Tensorflow.
#### File Description:
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* input_data.py: input of the picture
* traffic_sign_cnn.py: Training classification with cnn
* testDemo.py: Used to test the trained model, enter the result of a single image output, and categorize it into a folder
#### Data Set Description:
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* Here is a list of texts using the Belgian traffic sign data set, which can be found online, with 62 categories.
#### Network Description:
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* Here is the list text Here is the list text The CNN network consists of two convolutional layers, two fully connected layers. The recognition rate is about 95%, you can modify the parameters by yourself to improve the recognition rate
In addition, before the start of training, you need to create a new folder in the project directory. / Log / train /, used to save the model parameters, the directory structure of the data set is probably ./data/train/00001 (tag) / picture