waitingfordark / Four_flower
Licence: mit
使用tensorflow和cnn做的图像识别，对四种花进行了分类。
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four-flower
这是一个图像识别项目，基于 tensorflow，现有的 CNN 网络可以识别四种花的种类。适合新手对使用 tensorflow 进行一个完整的图像识别过程有一个大致轮廓。项目包括对数据集的处理，从硬盘读取数据，CNN 网络的定义，训练过程，还实现了一个 GUI 界面用于使用训练好的网络。
Require
- 安装 Anaconda
- 导入环境 environment.yaml
conda env update -f=environment.yaml
Quick start
- git clone 这个项目
- 解压 input_data.rar 到你喜欢的目录。
- 修改 train.py 中
train_dir = 'D:/ML/flower/input_data' # 训练样本的读入路径
logs_train_dir = 'D:/ML/flower/save' # logs存储路径
为你本机的目录。
- 运行 train.py 开始训练。
- 训练完成后，修改 test.py 中的
logs_train_dir = 'D:/ML/flower/save/'为你的目录。 - 运行 test.py 或者 gui.py 查看结果。
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