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使用tensorflow和cnn做的图像识别，对四种花进行了分类。
| Date | Stars |
|---|---|
| 2026-07-24 | 668 |
| 2026-07-25 | 668 |
| 2026-07-28 | 668 |
| 2026-07-30 | 668 |
| 2026-08-06 | 668 |
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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 1. 安装 Anaconda 2. 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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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e2ba700a3c217f5c, topic:tensorflow