(还是写一下吧,找到对应python环境。例如前面创建的python是tensorflowAPI ,那就找到anaconda的安装路径,envs文件夹,进入tensorflowAPI\Lib\site-packages,将前面的object_detection文件夹复制进去) 测试环境 python object_detection/builders/model_builder_test.py 1. 出现上图,环境正常 我配置好的环境 下载地址:https...
当然也还有现有的lite模型文件,如果你想直接拿此lite模型到移动端上测试(这部分我接下来会完成,可能之后会更新相关操作以及碰到的问题),可从此地址下载:https://fossies.org/linux/tensorflow/tensorflow/contrib/lite/g3doc/models.md 重点内容:模型转换器的一些重要的命令的应用可查看链接:https://github.com/tensorf...
at org.tensorflow.lite.task.vision.detector.ObjectDetector.createFromBufferAndOptions(ObjectDetector.java:219) at org.tensorflow.lite.examples.detection.tflite.TFLiteObjectDetectionAPIModel.<init>(TFLiteObjectDetectionAPIModel.java:88) at org.tensorflow.lite.examples.detection.tflite.TFLiteObjectDetectionAPIM...
Part 1 - How to Train, Convert, and Run Custom TensorFlow Lite Object Detection Models on Windows 10 Part 1 of this guide gives instructions for training and deploying your own custom TensorFlow Lite object detection model on a Windows 10 PC. The guide is based off thetutorial in the Tensor...
bazel build tensorflow/contrib/lite/toco:toco 生成tflite_graph.pb文件 cdmodels/research/object_detection python export_tflite_ssd_graph.py \ --pipeline_config_path=data/ssd_mobilenet_v1_coco.config \ --trained_checkpoint_prefix=data/training/model.ckpt-28189 \ ...
Tensorflow object_detection API源码——mobileDet 接上https://www.cnblogs.com/shines87/p/15140744.html 一、代码整理 项目执行命令: object_detection>python model_main.py \--logtostderr \--model_dir=../image/\--pipeline_config_path=../image/ssdlite_mobiledet_cpu_320x320_coco_sync_4x4....
$ make dl-model 目录结构如下: └── test └── pre-trained-models └── ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8 ├── checkpoint ├── pipeline.config └── saved_model 配置训练 Pipeline 在models 目录创建对应的模型文件夹,比如:ssd_mobilenet_v2_fpnlite_320x320,并拷贝 pre-tr...
at org.tensorflow.lite.examples.detection.tflite.TFLiteObjectDetectionAPIModel.create(TFLiteObjectDetectionAPIModel.java:126) at org.tensorflow.lite.examples.detection.DetectorActivity.onPreviewSizeChosen(DetectorActivity.java:99) at org.tensorflow.lite.examples.detection.CameraActivity.onPreviewFrame(CameraActivi...
树莓派安装Tensorflow并利用SSDLite-MobileNet实现object detection小白教程 简介 对象检测是机器视觉领域最常用的功能之一,即对探测的目标分辨出是何物,本教程使用当前最常用的单片机树莓派3B+,设置安装tensorflow并实现利用较小的神经网络SSDLite-MobileNet进行识物。
Interpreter.Options tfliteOptions = new Interpreter.Options(); nnApiDelegate = new NnApiDelegate(); tfliteOptions.addDelegate(nnApiDelegate); tfLite = new Interpreter(loadModelFile(assetManager, modelFilename),tfliteOptions); 此处 https://tensorflow.google.cn/lite/models/object_detection/overview ...