基于TensorFlow实现图片鉴黄

java

图片鉴黄主要思路是通过nsfw.tflite模型文件生成Interpreter，然后通过Interpreter获取python中定义的入口ByteBuffer的张量（Tensor），然后把要鉴别的文件做归一化处理，输入到ByteBuffer中，通过运行Interpreter获取结果即可，其流程如下图所示： image 2.2 实现步骤 2.2.1 添加依赖在build.gradle中添加TensorFlow依赖： implementation 'org.tensorflow:tensorflow-lite:0.0.0-nightly' implementation 'org.tensorflow:tensorflow-lite-gpu:0.0.0-nightly' 2.2.2 拷贝训练模型文件将resources目录下的nsfw.tflite文件拷贝到手机SD存储卡上。 2.2.3 加载训练模型文件 public void init() { File file = new File(Environment.getExternalStorageDirectory() +

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