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Fix CUDA/CPU device mismatch in quality/eval.py #142

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Fix CUDA/CPU device mismatch in quality/eval.py #142

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10 changes: 5 additions & 5 deletions quality/eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,15 +12,15 @@
from PIL import Image


def read_img(imgPath): # read image & data pre-process
data = torch.randn(1, 3, 112, 112)
def read_img(imgPath, device): # read image & data pre-process
data = torch.randn(1, 3, 112, 112).to(device)
transform = T.Compose([
T.Resize((112, 112)),
T.ToTensor(),
T.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
])
img = Image.open(imgPath).convert("RGB")
data[0, :, :, :] = transform(img)
data[0, :, :, :] = transform(img).to(device)
return data


Expand All @@ -36,9 +36,9 @@ def network(eval_model, device):

if __name__ == "__main__":
imgpath = './demo_imgs/1.jpg' # [1,2,3.jpg]
device = 'cpu' # 'cpu' or 'cuda:x'
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
eval_model = './model/SDD_FIQA_checkpoints_r50.pth' # checkpoint
net = network(eval_model, device)
input_data = read_img(imgpath)
input_data = read_img(imgpath, device)
pred_score = net(input_data).data.cpu().numpy().squeeze()
print(f"Quality score = {pred_score}")