Search - BEFORE TEXT MODIFY

Search - BEFORE TEXT MODIFY - List

[AI-NN-PR] utf8''Traffic-sign-recognition DL : 0: 项目基于Tensorflow进行实现。 #### 文件说明： --- * input_data.py: 图片的输入 * traffic_sign_cnn.py: 用cnn进行训练分类 * testDemo.py: 用于测试已经训练出来的模型，输入单个图片输出结果，并分类到文件夹 #### 数据集说明： --- * 这里是列表文本使用的是比利时的交通标志数据集，可以网上自己找，里面有62个分类。 #### 网络说明： --- * 这里是列表文本这里是列表文本CNN网络包含两个卷积层，两个全连接层。识别率大概在95% 左右，可以自己根据需要自己修改参数提高识别率另外，训练开始前需要先在项目目录下新建文件夹./log/train/,用来保存模型参数,数据集的目录结构大概是./data/train/00001（标签）/图片(The project is based on Tensorflow. #### File Description: --- * 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: --- * Here is a list of texts using the Belgian traffic sign data set, which can be found online, with 62 categories. #### Network Description: --- * 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)
Date : 2025-12-30 Size : 420kb User : lionkiss