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 Error while converting Vehicle-Detection-0200 #70
Thanks on the great work,
I'm trying to convert the openvino model "vehicle-detection-0200" to .pb, saved_model or h5 format but I get this error:
The PriorBoxClustered layer is not yet implemented.
Are there any plans to support this layer in the future as well?
PINTO0309
commented
2 years ago
Thanks on the great work, I'm trying to convert the openvino model "vehicle-detection-0200" to .pb, saved_model or h5 format but I get this error:
The PriorBoxClustered layer is not yet implemented.Are there any plans to support this layer in the future as well?