Hi, is it possible to use this quantized implementation of resnet : torchvision quantized resnet 5 as a backbone ?
I tried to use it by changing a little torchvision detection backbone_utils 1 (from torchvision.models.quantization import resnet and add a parameter quantize=true for backbone).
When I try to use this with a pretrained maskrcnn_resnet50 I get an error :
KeyError: 'backbone.body.conv1.bias'
Any idea what I missed/didn’t understand ?
Thanks