将object_detection目录下的object_detection_tutorial.ipynb打开,或者转成object_detection_tutorial.py的python文件,更改一下就可以测试。 # coding: utf-8 # # Object Detection Demo # Welcome to the object detection inference walkthrough! This notebook will walk you step by step through the process of ...
# # Object Detection Demo # Welcome to the object detection inference walkthrough! This notebook will walk you step by step through the process of using a pre-trained model to detect objects in an image. Make sure to follow the [installation instructions](https:///tensorflow/models/blob/mast...
在虚拟设备上会生成4个软件,自己想测试哪给点哪个,我测试了Classify和Detect,两个功能都正常。 8.想在自己的安卓手机上运行这个demo 我自己在手机上运行时,安装时总是遇到错误 Session ‘android’: Installation did not succeed. The application could not be installed: INSTALL_FAILED_TEST_ONLY Retry 我找了很...
bazel run -c opt tensorflow/contrib/lite/toco:toco --\--input_file=$OUTPUT_DIR/tflite_graph.pb \--output_file=$OUTPUT_DIR/detect.tflite \--input_shapes=1,300,300,3\--input_arrays=normalized_input_image_tensor \--output_arrays='TFLite_Detection_PostProcess','TFLite_Detection_PostProces...
环境 安装 bazel (0.18.1) 如果tensorflow是1.12.0,那么必须安装指定版本0.18.1的bazel,不然会出现很多的错误无法解决。 下载tensorflow工程代码 编译转换工具 生成tflite_graph.pb文件 利用bazel生成tflite文件 在Android
bazel build -c opt --copt=-msse4 //tensorflow/contrib/lite/toco:toco 1. 问题解决。 2.想要查看.pb文件的输入输出节点名称时,输入: bazel-bin/tensorflow/tools/graph_transforms/summarize_graph --in_graph=mobilenet_v1_1.0_224_frozen.pb
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...
A guide showing how to train TensorFlow Lite object detection models and run them on Android, the Raspberry Pi, and more! Introduction TensorFlow Lite is an optimized framework for deploying lightweight deep learning models on resource-constrained edge devices. TensorFlow Lite models have faster infer...
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...
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...