PyTorch | Inception-v4 (PreTrained) - Aerial Image Segmentation | Deep Learning | Computer Vision

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Nice one and interesting. How do you calculate the mean and std of the dataset or you assume the mean and std for the minst?

moshoodolawale

Hello, Mr.Paul. And I find a minior mistake that in the 29th line of train.py,
device = torch.device("cuda" if torch.cuda.is_available else "cpu"),
you forgot parentheses after torch.cuda.is_available. It should be
device = torch.device("cuda" if torch.cuda.is_available() else "cpu").

一枚小P孩

img = cv2.imread(self.img_path, self.X[idx] + ".jpg")
48 img = cv2.cvtColor(img, cv2.IMREAD_COLOR)
49 mask = cv2.imread(self.mask_path, self.X[idx] + ".png" + cv2.IMREAD_GRAYSCALE)

TypeError: Argument 'flags' is required to be an integer

BEPROJECT-jgdb

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