Converting an ONNX Mask R-CNN Model¶
The instructions below are applicable only to the Mask R-CNN model converted to the ONNX file format from the maskrcnn-benchmark model.
Download the pretrained model file from onnx/models :
Generate the Intermediate Representation of the model by changing your current working directory to the Model Optimizer installation directory and running Model Optimizer with the following parameters:
mo \ --input_model mask_rcnn_R_50_FPN_1x.onnx \ --input "0:2" \ --input_shape [1,3,800,800] \ --mean_values [102.9801,115.9465,122.7717] \ --transformations_config front/onnx/mask_rcnn.json
Be aware that the height and width specified with the
input_shape command line parameter could be different. For more information about supported input image dimensions and required pre- and post-processing steps, refer to the documentation.
Interpret the outputs of the generated IR file: masks, class indices, probabilities and box coordinates.
The first one is a layer with the name
6849/sink_port_0, and rest are outputs from the