We have released MobileNetEdgeTPU SSDLite model. SSDLite with MobileNetEdgeTPU backbone, which achieves 10% mAP higher than MobileNetV2 SSDLite (24.3 mAP vs 22 mAP) on a Google Pixel4 at comparable latency (6.6ms vs 6.8ms). Along with the model definition, we are also releasing model chec...
TensorFlow is a powerful tool that help us to integrate python in Mobile app. I already wrote a blog about the TensorFlow implementation
tflite_convert是一个命令行工具,用于将TensorFlow模型转换为TensorFlow Lite模型。TensorFlow Lite是一种用于在移动、嵌入式和物联网设备上部署机器学习模型的轻量级解决方案。 使用tflite_convert命令行工具,可以将训练好的TensorFlow模型转换为适用于移动设备的TensorFlow Lite模型。以下是一个tflite_convert命令行工作示例...
将生成的facenet.pb转化为tflite格式: tflite_convert --output_file model_mobile_eval/facenet.tflite --graph_def_file facenet.pb --input_arrays "input" --input_shapes "1,160,160,3" --output_arrays output --output_format TFLITE 祝贺你,你会在文件夹model_mobile_eval中找到facenet.tflite文件。
Hello, I'm trying to run the exported model on a mobile device. After some research I found Tensorflow Lite. Is there a way to convert the exported model to Tensorflow Lite? If there is, how would I go about doing just that?
System information Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes OS Platform and Distribution (e.g., Linux Ubuntu 16.04): macOS High Sierra 10.13.2 TensorFlow installed from (source o...
convert_model 功能说明 根据用户自己计算得到的量化因子以及TensorFlow模型,适配成既可以在昇腾AI处理器上部署的模型又可以在TensorFlow环境下进行精度仿真的量化模型。 约束说明 用户模型需要保证和量化因子记录文件配套,例如用户对Conv+BN结构先进行融合再计算得到融合
tflite_convert --output_file=model.tflite --saved_model_dir=/path/to/saved_model ``` 在这个示例中,我们使用tflite_convert将指定路径下的TensorFlow SavedModel转换为一个名为model.tflite的.tflite文件。 4. 总结 tflite_convert是一个非常有用的工具,它使得将TensorFlow模型转换为TensorFlow Lite模型变得...
Converted a TensorFlow* custom model into IR format: mo --data_type FP16 --saved_model_dir <MODEL_PATH> --input_shape (1,150,150,3) Received error: [ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID" (<class 'openvino.tools.mo.front.user_data_repack.UserDataRepack&...
def convert_to_tensor( value, dtype=None, name=None, preferred_dtype=None, ): """Converts the given value to a Tensor. Parameters --- value : number, sequence or numpy.ndarray The value to convert. dtype : dragon.vm.tensorflow.dtypes.DType, optional The optional data type. name : str...