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feat: directly resize images to 1024px

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Former-commit-id: b6ed46be0e93bc735adc5a5c912893e5978ab2c5 [formerly 18f3b64ee956824024be1e4b13075ebb12b86176]
Former-commit-id: dbeaa87c8900e6191cf322bbac8994c6d9939aca
This commit is contained in:
Laurent Fainsin 2022-08-26 11:09:05 +02:00
parent 313d491143
commit 4696885a30
1 changed files with 11 additions and 4 deletions
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15
src/data/dataset.py
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@ -1,6 +1,6 @@
import os import os
from pathlib import Path
import albumentations as A
import numpy as np import numpy as np
import torch import torch
from PIL import Image from PIL import Image
@ -16,6 +16,8 @@ class RealDataset(Dataset):
self.imgs = list(sorted(os.listdir(os.path.join(root, "images")))) self.imgs = list(sorted(os.listdir(os.path.join(root, "images"))))
self.masks = list(sorted(os.listdir(os.path.join(root, "masks")))) self.masks = list(sorted(os.listdir(os.path.join(root, "masks"))))
self.res = A.SmallestMaxSize(max_size=1024)
def __getitem__(self, idx): def __getitem__(self, idx):
# create paths from ids # create paths from ids
image_path = os.path.join(self.root, "images", self.imgs[idx]) image_path = os.path.join(self.root, "images", self.imgs[idx])
@ -23,11 +25,16 @@ class RealDataset(Dataset):
# load image and mask # load image and mask
image = Image.open(image_path).convert("RGB") image = Image.open(image_path).convert("RGB")
mask = Image.open(mask_path) mask = Image.open(mask_path).convert("L")
# convert to numpy arrays # convert to numpy arrays
image = np.array(image) image = np.asarray(image)
mask = np.array(mask) mask = np.asarray(mask)
# resize images
aug = self.res(image=image, mask=mask)
image = aug["image"]
mask = aug["mask"]
# get ids from mask # get ids from mask
obj_ids = np.unique(mask) obj_ids = np.unique(mask)