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.
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PriorBoxClustered layer is not yet implemented #65
PINTO0309
commented
3 years ago
I want to convert the openvino model (vehicle-detection-0201.xml) to TFlite, but when I run the converting, it show that the PriorBoxClustered layer is not yet implemented. So How can I solve this issue? Thanks. vehicle-detection-0201.xml : https://github.com/openvinotoolkit/training_extensions/tree/develop/models/object_detection/model_templates/vehicle-detection