We are using facenet = torch.load('../Model/InceptionResNetV1_ArcFace.pt') from the shared gDrive
we are getting error in the line distance = torch.norm(eval_out - eval_pait_out, dim=1)
can you please help in getting over this issue ?
(model-training) C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code>python ./main_test.py
Device: cpu
0%| | 0/456 [00:22<?, ?it/s]
Traceback (most recent call last):
File "C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code\main_test.py", line 72, in
dist_threshold = evalulate(facenet, eval_loader1, eval_loader2, device)
File "C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code\test.py", line 56, in evalulate
dist1 = result(model,eval_loader1, device)
File "C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code\test.py", line 42, in result
distance = torch.norm(eval_out - eval_pait_out, dim=1)
TypeError: unsupported operand type(s) for -: 'dict' and 'dict'
We are trying to recreate your execellent work.
We are using facenet = torch.load('../Model/InceptionResNetV1_ArcFace.pt') from the shared gDrive we are getting error in the line distance = torch.norm(eval_out - eval_pait_out, dim=1) can you please help in getting over this issue ?
(model-training) C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code>python ./main_test.py Device: cpu 0%| | 0/456 [00:22<?, ?it/s] Traceback (most recent call last): File "C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code\main_test.py", line 72, in dist_threshold = evalulate(facenet, eval_loader1, eval_loader2, device) File "C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code\test.py", line 56, in evalulate dist1 = result(model,eval_loader1, device) File "C:\Users\ranji\AML-ReferenceCode\Masked_Face_Recognition\Code\test.py", line 42, in result distance = torch.norm(eval_out - eval_pait_out, dim=1) TypeError: unsupported operand type(s) for -: 'dict' and 'dict'