I am trying to convert a Detectron2 model to ONNX format and make inference without use detectron2 dependence in inference stage.
Even is possible to find some information about that here :
https://detectron2.readthedocs.io/en/latest/tutorials/deployment.html
The implementation of this task is constantly being updated and the information found in this documentation is not clear enough to carry out this task .
Some one can help me with some Demo/Tutorial of how make it ?
@thiagocrepaldi
Some information:
My model was trained using pre-trained weight from:
Hello,
I am trying to convert a Detectron2 model to ONNX format and make inference without use detectron2 dependence in inference stage.
Even is possible to find some information about that here : https://detectron2.readthedocs.io/en/latest/tutorials/deployment.html The implementation of this task is constantly being updated and the information found in this documentation is not clear enough to carry out this task .
Some one can help me with some Demo/Tutorial of how make it ?
@thiagocrepaldi
Some information:
My model was trained using pre-trained weight from:
'faster_rcnn_50': { 'model_path': 'COCO-Detection/faster_rcnn_R_50_FPN_3x.yaml', 'weights_path': 'model_final_280758.pkl' },
I have 4 classes.
Of course now i have my our weight. My model was saved in .pth forrmat.
I used my our dataset, with image ( .png )
Code in Python