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| import json | |
| import cv2 | |
| import numpy as np | |
| import os | |
| from torch.utils.data import Dataset | |
| from PIL import Image | |
| import cv2 | |
| from .data_utils import * | |
| from .base import BaseDataset | |
| from pycocotools import mask as mask_utils | |
| class SAMDataset(BaseDataset): | |
| def __init__(self, sub1, sub2, sub3, sub4): | |
| image_mask_dict = {} | |
| self.data = [] | |
| self.register_subset(sub1) | |
| self.register_subset(sub2) | |
| self.register_subset(sub3) | |
| self.register_subset(sub4) | |
| self.size = (512,512) | |
| self.clip_size = (224,224) | |
| self.dynamic = 0 | |
| def register_subset(self, path): | |
| data = os.listdir(path) | |
| data = [ os.path.join(path, i) for i in data if '.json' in i] | |
| self.data = self.data + data | |
| def get_sample(self, idx): | |
| # ==== get pairs ===== | |
| json_path = self.data[idx] | |
| image_path = json_path.replace('.json', '.jpg') | |
| with open(json_path, 'r') as json_file: | |
| data = json.load(json_file) | |
| annotation = data['annotations'] | |
| valid_ids = [] | |
| for i in range(len(annotation)): | |
| area = annotation[i]['area'] | |
| if area > 100 * 100 * 5: | |
| valid_ids.append(i) | |
| chosen_id = np.random.choice(valid_ids) | |
| mask = mask_utils.decode(annotation[chosen_id]["segmentation"] ) | |
| # ====================== | |
| image = cv2.imread(image_path) | |
| ref_image = cv2.cvtColor(image.copy(), cv2.COLOR_BGR2RGB) | |
| tar_image = ref_image | |
| ref_mask = mask | |
| tar_mask = mask | |
| item_with_collage = self.process_pairs(ref_image, ref_mask, tar_image, tar_mask) | |
| sampled_time_steps = self.sample_timestep() | |
| item_with_collage['time_steps'] = sampled_time_steps | |
| return item_with_collage | |
| def __len__(self): | |
| return 20000 | |
| def check_region_size(self, image, yyxx, ratio, mode = 'max'): | |
| pass_flag = True | |
| H,W = image.shape[0], image.shape[1] | |
| H,W = H * ratio, W * ratio | |
| y1,y2,x1,x2 = yyxx | |
| h,w = y2-y1,x2-x1 | |
| if mode == 'max': | |
| if h > H or w > W: | |
| pass_flag = False | |
| elif mode == 'min': | |
| if h < H or w < W: | |
| pass_flag = False | |
| return pass_flag | |