This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
Pad reduction cannot be addressed. There is no exact specification match between OpenVINO and TensorFlow.
Have you checked to see if the layers of Padding are really affecting performance?
This is an unfixable condition. If you are dissatisfied with the tool's specifications, use onnx-tf.
Issue Type
Performance
OS
Ubuntu
OS architecture
x86_64
Programming Language
Python
Framework
OpenVINO
Download URL for ONNX / OpenVINO IR
refer to https://github.com/PINTO0309/openvino2tensorflow/issues/112
Convert Script
refer to https://github.com/PINTO0309/openvino2tensorflow/issues/112
Description
Relevant Log Output
Source code for simple inference testing code
No response