Binh X. Nguyen

Results 4 comments of Binh X. Nguyen

Hi! I regret not being able to provide feature extraction code because our proposal does not use any feature as input. We simply resized all the images to the suitable...

simply you open the image with the PIL library, resize and convert to the torch tensor, then divide them directly by 255.

```from torchvision.transforms import transforms from PIL import Image img_size = [128, 128] transform = transforms.Compose([lambda x: Image.open(x).convert('L'), transforms.Resize(img_size), transforms.ToTensor(), lambda x: x/255.]) ```

I double checked and noticed there is a bit of a mistake here. Very sorry for this. For our proposed dataset - PathVQA: - for maml (size 84x84), run: -...