class LvisGtAnnVis(): def __init__(self, ann_file): self.lvis = LVIS(ann_file) CLASSES = ('person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic_light', 'fire_hydrant', 'stop_sign', 'parking_meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports_ball', 'kite', 'baseball_bat', 'baseball_glove', 'skateboard', 'surfboard', 'tennis_racket', 'bottle', 'wine_glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot_dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted_plant', 'bed', 'dining_table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell_phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy_bear', 'hair_drier', 'toothbrush')##use CLASSES[self.cat2label[35]] to find the class name self.cat_ids = self.lvis.get_cat_ids() # self.cat2label = { # cat_id: i + 1 # for i, cat_id in enumerate(self.cat_ids) # } self.img_ids = self.lvis.get_img_ids() img_infos = [] for i in self.img_ids: info = self.lvis.load_imgs([i])[0] info['filename'] = info['file_name'] img_infos.append(info) self.img_infos = img_infos # self.img_prefix = './data/lvis/val2017' self.img_prefix = './data/lvis/train2017' self.filter_to_keep_finetune_classes() ###filter to keep only the finetune classes with zero_ap but not with fewshot training instances def filter_to_keep_finetune_classes(self): self.lvis._filter_anns_finetune_classes()## first filter anns keep_img_info_ids = []## then filter imgs for idx in range(len(self.img_infos)): img_id = self.img_infos[idx]['id'] ann_ids = self.lvis.get_ann_ids(img_ids=[img_id]) for ann_id in ann_ids: if ann_id in self.lvis.anns.keys(): if idx not in keep_img_info_ids: keep_img_info_ids.append(idx) self.img_infos = [self.img_infos[i] for i in keep_img_info_ids] def show(self, idx): img_id = self.img_infos[idx]['id'] ann_ids = self.lvis.get_ann_ids(img_ids=[img_id]) ann_info = self.lvis.load_anns(ann_ids) # for ann in ann_info: # if ann['iscrowd'] == 1: # is_crowd_id_val.append(idx) if self.img_infos[idx]['filename'].startswith('COCO'):##for val set imdata = cv2.imread(osp.join(self.img_prefix, self.img_infos[idx]['filename'][13:])) else: imdata = cv2.imread(osp.join(self.img_prefix, self.img_infos[idx]['filename'])) imdata = cv2.cvtColor(imdata, cv2.COLOR_BGR2RGB) plt.imshow(imdata) plt.axis('off') self.lvis.showanns(ann_info) plt.show()
class LvisGtAnnVis(): def __init__(self, ann_file): self.lvis = LVIS(ann_file) CLASSES = ('person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic_light', 'fire_hydrant', 'stop_sign', 'parking_meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports_ball', 'kite', 'baseball_bat', 'baseball_glove', 'skateboard', 'surfboard', 'tennis_racket', 'bottle', 'wine_glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot_dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted_plant', 'bed', 'dining_table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell_phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy_bear', 'hair_drier', 'toothbrush' ) ##use CLASSES[self.cat2label[35]] to find the class name self.cat_ids = self.lvis.get_cat_ids() # self.cat2label = { # cat_id: i + 1 # for i, cat_id in enumerate(self.cat_ids) # } self.img_ids = self.lvis.get_img_ids() img_infos = [] for i in self.img_ids: info = self.lvis.load_imgs([i])[0] info['filename'] = info['file_name'] img_infos.append(info) self.img_infos = img_infos # self.img_prefix = './data/lvis/val2017' self.img_prefix = './data/lvis/train2017' valid_inds = self._filter_imgs() self.img_infos = [self.img_infos[i] for i in valid_inds] def _filter_imgs(self, min_size=32): """Filter images too small or without ground truths.""" valid_inds = [] ids_with_ann = set(_['image_id'] for _ in self.lvis.anns.values()) for i, img_info in enumerate(self.img_infos): if self.img_ids[i] not in ids_with_ann: continue if min(img_info['width'], img_info['height']) >= min_size: valid_inds.append(i) return valid_inds def show(self, idx): img_id = self.img_infos[idx]['id'] ann_ids = self.lvis.get_ann_ids(img_ids=[img_id]) ann_info = self.lvis.load_anns(ann_ids) # for ann in ann_info: # if ann['iscrowd'] == 1: # is_crowd_id_val.append(idx) if self.img_infos[idx]['filename'].startswith('COCO'): ##for val set imdata = cv2.imread( osp.join(self.img_prefix, self.img_infos[idx]['filename'][13:])) else: imdata = cv2.imread( osp.join(self.img_prefix, self.img_infos[idx]['filename'])) imdata = cv2.cvtColor(imdata, cv2.COLOR_BGR2RGB) plt.imshow(imdata) plt.axis('off') self.lvis.showanns(ann_info) plt.show()