(self, image_root, gt_root, scribble_root, trainsize=384)
| 426 | |
| 427 | class PolypObjDataset_scribble_noEdge(data.Dataset): |
| 428 | def __init__(self, image_root, gt_root, scribble_root, trainsize=384): |
| 429 | self.trainsize = trainsize |
| 430 | # get filenames |
| 431 | self.images = [image_root + f for f in os.listdir(image_root) if f.endswith('.jpg')] |
| 432 | self.gts = [gt_root + f for f in os.listdir(gt_root) if f.endswith('.jpg') or f.endswith('.png')] |
| 433 | self.scribbles = [scribble_root + f for f in os.listdir(scribble_root) if f.endswith('.jpg') or f.endswith('.png')] |
| 434 | # self.edges = [edge_root + f for f in os.listdir(edge_root) if f.endswith('.jpg') or f.endswith('.png')] |
| 435 | # self.grads = [grad_root + f for f in os.listdir(grad_root) if f.endswith('.jpg') |
| 436 | # or f.endswith('.png')] |
| 437 | # self.depths = [depth_root + f for f in os.listdir(depth_root) if f.endswith('.bmp') |
| 438 | # or f.endswith('.png')] |
| 439 | # 将图像输入大小 -> 边缘转成 // 8 |
| 440 | self.edgesize = self.trainsize |
| 441 | # sorted files |
| 442 | self.images = sorted(self.images) |
| 443 | self.gts = sorted(self.gts) |
| 444 | self.scribbles = sorted(self.scribbles) |
| 445 | |
| 446 | # self.edges = sorted(self.edges) |
| 447 | # self.grads = sorted(self.grads) |
| 448 | # self.depths = sorted(self.depths) |
| 449 | # filter mathcing degrees of files |
| 450 | self.filter_files() |
| 451 | # transforms |
| 452 | self.img_transform = transforms.Compose([ |
| 453 | transforms.Resize((self.trainsize, self.trainsize)), |
| 454 | transforms.ToTensor(), |
| 455 | transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])]) |
| 456 | self.gt_transform = transforms.Compose([ |
| 457 | transforms.Resize((self.trainsize, self.trainsize)), |
| 458 | transforms.ToTensor()]) |
| 459 | |
| 460 | self.edge_transform = transforms.Compose([ |
| 461 | transforms.Resize((self.edgesize, self.edgesize)), |
| 462 | transforms.ToTensor()]) |
| 463 | |
| 464 | self.small_transform = transforms.Compose([ |
| 465 | transforms.Resize((self.edgesize//32, self.edgesize//32)), |
| 466 | transforms.ToTensor()]) |
| 467 | |
| 468 | self.kernel = np.ones((3, 3), np.uint8) |
| 469 | # get size of dataset |
| 470 | self.size = len(self.images) |
| 471 | |
| 472 | def __getitem__(self, index): |
| 473 | # read imgs/gts/grads/depths |
nothing calls this directly
no test coverage detected