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import cv2
import numpy as np
from pathlib import Path
from isegm.data.base import ISDataset
from isegm.data.sample import DSample
class ImagesDirDataset(ISDataset):
def __init__(self, dataset_path,
images_dir_name='images', masks_dir_name='masks',
**kwargs):
super(ImagesDirDataset, self).__init__(**kwargs)
self.dataset_path = Path(dataset_path)
self._images_path = self.dataset_path / images_dir_name
self._insts_path = self.dataset_path / masks_dir_name
images_list = [x for x in sorted(self._images_path.glob('*.*'))]
samples = {x.stem: {'image': x, 'masks': []} for x in images_list}
for mask_path in self._insts_path.glob('*.*'):
mask_name = mask_path.stem
if mask_name in samples:
samples[mask_name]['masks'].append(mask_path)
continue
mask_name_split = mask_name.split('_')
if mask_name_split[-1].isdigit():
mask_name = '_'.join(mask_name_split[:-1])
assert mask_name in samples
samples[mask_name]['masks'].append(mask_path)
for x in samples.values():
assert len(x['masks']) > 0, x['image']
self.dataset_samples = [v for k, v in sorted(samples.items())]
def get_sample(self, index) -> DSample:
sample = self.dataset_samples[index]
image_path = str(sample['image'])
objects = []
ignored_regions = []
masks = []
for indx, mask_path in enumerate(sample['masks']):
gt_mask = cv2.imread(str(mask_path))[:, :, 0].astype(np.int32)
instances_mask = np.zeros_like(gt_mask)
instances_mask[gt_mask == 128] = 2
instances_mask[gt_mask > 128] = 1
masks.append(instances_mask)
objects.append((indx, 1))
ignored_regions.append((indx, 2))
image = cv2.imread(image_path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
return DSample(image, np.stack(masks, axis=2),
objects_ids=objects, ignore_ids=ignored_regions, sample_id=index)
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