基于TensorFlow实现的花卉识别项目代码+使用说明.zip

上传者: 55305220 | 上传时间: 2022-12-19 18:26:09 | 文件大小: 13.27MB | 文件类型: ZIP
基于TensorFlow实现的花卉识别项目代码+使用说明.zip打开项目 选择TFLClassify/build.gradle生成整个项目。项目包含两个module:finish 和 start,finish模块是已经完成的项目,start是本项目实践的模块。 第一次编译项目时,弹出“Gradle Sync”,下载相应的gradle wrapper。 手机连接电脑,设置开发者模式,开发相关权限。 输入图片说明 向应用中添加TensorFlow Lite 1.选择“start”模块,右键“start”模块,或者选择File,然后New>Other>TensorFlow Lite Model 输入图片说明 2.选择已经下载的自定义的训练模型。本教程模型训练任务以后完成,这里选择finish模块中ml文件下的FlowerModel.tflite。 输入图片说明 3.导入成功后,查看摘要信息 输入图片说明 检查代码中的TODO项 默认情况下了列出项目所有的TODO项,进一步按照模块分组(Group By) 查看视图: 输入图片说明 添加代码使APP运行成功 定位“sta

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