| 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 |
| from lvis import LVIS |
|
|
| class LvisDataset(BaseDataset): |
| def __init__(self, image_dir, json_path): |
| self.image_dir = image_dir |
| self.json_path = json_path |
| lvis_api = LVIS(json_path) |
| img_ids = sorted(lvis_api.imgs.keys()) |
| imgs = lvis_api.load_imgs(img_ids) |
| anns = [lvis_api.img_ann_map[img_id] for img_id in img_ids] |
| self.data = imgs |
| self.annos = anns |
| self.lvis_api = lvis_api |
| 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): |
| |
| image_name = self.data[idx]['coco_url'].split('/')[-1] |
| image_path = os.path.join(self.image_dir, image_name) |
| image = cv2.imread(image_path) |
| ref_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) |
|
|
| anno = self.annos[idx] |
| obj_ids = [] |
| for i in range(len(anno)): |
| obj = anno[i] |
| area = obj['area'] |
| if area > 3600: |
| obj_ids.append(i) |
| assert len(anno) > 0 |
| obj_id = np.random.choice(obj_ids) |
| anno = anno[obj_id] |
| ref_mask = self.lvis_api.ann_to_mask(anno) |
|
|
| tar_image, tar_mask = ref_image.copy(), ref_mask.copy() |
| 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 |
|
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