Evaluate SOP using pretrained model, R@1 much lower from the number on README.md

[junwei-h]

Hello,

I guess the README reported training result, not evaluation for SOP? I used your pre-trained model, ran the evaluate.py and got much lower result. Is this expected?

Method	Backbone	R@1	R@10	R@100	R@1000
Proxy-Anchor512	Inception-BN	79.2	90.7	96.2	98.6
Run code/evaluate.py	Inception-BN	49.4	65.0	78.8	91.3

Here is what I did
python Proxy-Anchor-CVPR2020/code/evaluate.py --gpu-id -1 --batch-size 120 --model bn_inception --embedding-size 512 --dataset SOP --resume ../pretrained/SOP_bn_inception_best.pth --workers 4

To get it run on CPU, Ubuntu 20.04 (WSL), torch==1.13.1, I changed code related to cuda:

# model = model.cuda() 
if args.gpu_id != -1:
    model = model.cuda()

torch.load(args.resume, map_location=torch.device('cpu'))

Also fixed an error by adding strict=False

model.load_state_dict(checkpoint['model_state_dict'], strict=False)

Otherwise, I will hit errors raised by torch shown below

        if strict:
            if len(unexpected_keys) > 0:
                error_msgs.insert(
                    0, 'Unexpected key(s) in state_dict: {}. '.format(
                        ', '.join('"{}"'.format(k) for k in unexpected_keys)))
            if len(missing_keys) > 0:
                error_msgs.insert(
                    0, 'Missing key(s) in state_dict: {}. '.format(
                        ', '.join('"{}"'.format(k) for k in missing_keys)))