Hello, I am using OpenCV capture to get frames and pass to PyTorch model.
currently i’m pre processing the frame in the following way:
data_transforms = transforms.Compose(
	[
		transforms.Resize(INPUT_SIZE),
		transforms.CenterCrop(INPUT_SIZE),
		transforms.ToTensor(),
		transforms.Normalize([0.485,0.456,0.406], [0.229, 0.224, 0.225])
	]
) 

def preprocess(image):
	image = PIL.Image.fromarray(image)                 
	image = data_transforms(image)
	image = image.float()
	image = image.unsqueeze(0) # Resnet50 model seems to only accepts 4d tensor
	
return image  

while (cap.isOpened()):
     ret, frame = cap.read()
     img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
     image_data = preprocess(img).to(DEVICE)

But im getting negative values when printing image_data:
tensor([[[[ 0.1426,  0.1426,  0.1426,  ...,  0.0227,  0.0227,  0.0227],
          [ 0.1426,  0.1426,  0.1426,  ...,  0.0227,  0.0227,  0.0227],
          [ 0.1426,  0.1426,  0.1426,  ...,  0.0227,  0.0227,  0.0227],
          ...,
          [-2.1179, -2.1179, -2.1179,  ..., -2.1179, -2.1179, -2.1179],
          [-2.1179, -2.1179, -2.1179,  ..., -2.1179, -2.1179, -2.1179],
          [-2.1179, -2.1179, -2.1179,  ..., -2.1179, -2.1179, -2.1179]]

The values of image_data should not be in [0-1] values? I’m missing something?