Hello all !
I have trained my model on GPU with maskrcnn and ResNet 101 on GitHub - facebookresearch/detectron2: Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks. 3 code and want now to deploy it on CPU for inference. The code is for GPU, how to translate it to CPU please ? I use demo/demo.py for test/inference.
Thank you very much
Best regards