A guide showing how to train TensorFlow Lite object detection models and run them on Android, the Raspberry Pi, and more!IntroductionTensorFlow Lite is an optimized framework for deploying lightweight deep learning models on resource-constrained edge devices. TensorFlow Lite models have faster inference...
最后将输入的顺序进行了调整(根据官方文档进行输入:https://fossies.org/linux/tensorflow/tensorflow/contrib/lite/README.md) bazel-bin/tensorflow/contrib/lite/toco/toco --input_file=zhunbei/frozen_graph.pb --input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE --output_file=/tmp/mobilenet_v1_1....
https://storage.googleapis.com/download.tensorflow.org/models/stylize_v1.zip https://storage.googleapis.com/download.tensorflow.org/models/speech_commands_conv_actions.zip 全部下载之后,在android下新建gradleBuild文件夹,方法如下图所示: 然后在gradleBuild文件夹下,新建downloads文件夹,然后把我们下载好的4个...
利用bazel生成tflite文件 bazel-bin/tensorflow/contrib/lite/toco/toco \ --input_file=tflite_graph.pb \ --output_file=detect.tflite \ --input_shapes=1,300,300,3 \ --input_arrays=normalized_input_image_tensor \ --output_arrays='TFLite_Detection_PostProcess','TFLite_Detection_PostProcess:1'...
首先,我们需要将下载的TensorFlow Lite模型导入到Android项目中。将.tflite文件复制到项目的assets目录中。 接下来,我们需要在Java代码中加载模型。以下是一个示例代码: importorg.tensorflow.lite.Interpreter;publicclassObjectDetectionModel{privateInterpreterinterpreter;publicObjectDetectionModel(Activityactivity){try{interpret...
您参考的tensorflow lite文件以及标签可以在tensorflow的github上找到。标签的路径为: https://github.com/tensorflow/examples/blob/master/lite/examples/object_detection/android/app/src/main/assets/labelmap.txt 这是模型所针对的标签。 将h5转化为tflite...
Tensorflow及Object detection API相关环境的搭建安装 https://www.jianshu.com/p/286b8163da29 Bazel安装 以上步骤用于Tensorflow物体检测模型的训练及Tensorflow到Tensorflow lite的模型转换,具体步骤后面再讲。 下载Android Studio 导入Tensorflow目录下tflite Android demo。具体目录在Tensorflow/contrib/lite/example下 ...
谷歌近期更新了Tensorflow Object-DetectionAPI里面的detection_model_zoo,模型都是非常前沿的,其性能都处于该领域的领先水平,如下图所示: 引用谷歌官方对这几个模型的介绍: MobileDets outperform MobileNetV3+SSDLite by 1.7 mAP at comparable mobile CPU inference latencies. MobileDets also outperform MobileNetV2+SSD...
model zoom :https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md output 就默认吧。 1. 2. 3. 4. 5. 6. 7. 8. 我们从一个检查点开始,获得一个TensorFlow冻结图,其中包含我们可以与TensorFlow Lite一起使用的兼容操作。
安装tflite-model-maker: pip install tflite-model-maker 创建训练脚本train.py: # https://www.tensorflow.org/lite/tutorials/model_maker_object_detectionfromtflite_model_maker.configimportQuantizationConfigfromtflite_model_maker.configimportExportFormatfromtflite_model_makerimportmodel_specfromtflite_model...