import os from pathlib import Path import fire from PIL import Image from sahi.utils.coco import Coco, CocoAnnotation, CocoCategory, CocoImage from sahi.utils.file import save_json from tqdm import tqdm import xml.etree.ElementTree as ET import sys; NAME_TO_COCO_CATEGORY = { "stadium": {"name": "stadium", "supercategory": "stadium"}, "Expressway-toll-station": {"name": "Expressway-toll-station", "supercategory": "Expressway-toll-station"}, "bridge": {"name": "bridge", "supercategory": "bridge"}, "groundtrackfield": {"name": "groundtrackfield", "supercategory": "groundtrackfield"}, "Expressway-Service-area": {"name": "groundtrackfield", "supercategory": "groundtrackfield"}, "dam": {"name": "dam", "supercategory": "dam"}, "ship": {"name": "ship", "supercategory": "ship"}, "basketballcourt": {"name": "basketballcourt", "supercategory": "basketballcourt"}, "vehicle": {"name": "vehicle", "supercategory": "vehicle"}, "golffield": {"name": "golffield", "supercategory": "golffield"}, "airplane": {"name": "airplane", "supercategory": "airplane"}, "baseballfield": {"name": "baseballfield", "supercategory": "baseballfield"}, "airport": {"name": "airport", "supercategory": "airport"}, "harbor": {"name": "harbor", "supercategory": "harbor"}, "chimney": {"name": "chimney", "supercategory": "chimney"}, "tenniscourt": {"name": "tenniscourt", "supercategory": "tenniscourt"}, "trainstation": {"name": "trainstation", "supercategory": "trainstation"}, "overpass": {"name": "overpass", "supercategory": "overpass"}, "storagetank": {"name": "storagetank", "supercategory": "storagetank"}, "windmill": {"name": "windmill", "supercategory": "windmill"} } CATEGORY_ID_REMAPPING = { "stadium": "0", "Expressway-toll-station": "1", "bridge": "2", "groundtrackfield": "3", "Expressway-Service-area": "4", "dam": "5", "ship": "6", "basketballcourt": "7", "vehicle": "8", "golffield": "9", "airplane": "10", "baseballfield": "11", "airport":"12", "harbor":"13", "chimney":"14", "tenniscourt":"15", "trainstation":"16", "overpass":"17", "storagetank":"18", "windmill":"19" } def dior_to_coco( data_folder_dir, split_images_path, output_file_path, mode, category_id_remapping=None, ): """ Converts DIOR annotations into coco annotation. Args: data_folder_dir: str 'dior' folder directory split_images_path: str split_images_path txt file output_file_path: str Output file path mode: str mode original|car_other|car category_id_remapping: dict Used for selecting desired category ids and mapping them. If not provided, vedai mapping will be used. format: str(id) to str(id) """ # init paths/folders input_image_folder = str(Path(data_folder_dir) / "JPEGImages-all") input_ann_folder = str(Path(data_folder_dir) / "Annotations/Horizontal Bounding Boxes") image_filepath_list = os.listdir(input_image_folder) if category_id_remapping is None: category_id_remapping = CATEGORY_ID_REMAPPING # init coco object coco = Coco() if mode == 'original': # append categories categories = ["stadium", "Expressway-toll-station", "bridge", "groundtrackfield", "Expressway-Service-area", "dam", "ship", "basketballcourt", "vehicle", "golffield", "airplane", "baseballfield", "airport", "harbor", "chimney", "tenniscourt", "trainstation", "overpass", "storagetank", "windmill"] for i, cat in enumerate(categories): coco.add_category(CocoCategory(id=i, name=cat)) elif mode == 'car_other': print('"car_other" mode categories') coco.add_category(CocoCategory(id=0, name='Other')) coco.add_category(CocoCategory(id=1, name='Car')) for k,v in category_id_remapping.items(): if k in 'vehicle': category_id_remapping[k] =1 else: category_id_remapping[k]=0 elif mode == 'car': # car related categories: car, pickup, van print('"car" mode categories') coco.add_category(CocoCategory(id=0, name='Car')) category_id_remapping = {'vehicle': '0'} else: print('pick a defined mode: [original/car_other/car]') sys.exit() split_images_lst = [] with open(split_images_path, 'r') as f: for line in f: split_images_lst.append(line.strip().split('/')[1]) # convert dior annotations to coco for image_filename in tqdm(image_filepath_list): if image_filename in split_images_lst: # get image properties image_filepath = str(Path(input_image_folder) / image_filename) annotation_filename = image_filename.split(".jpg")[0] + ".xml" annotation_filepath = str(Path(input_ann_folder) / annotation_filename) image = Image.open(image_filepath) cocoimage_filename = str(Path(image_filepath)).split(str(Path(data_folder_dir)))[1] if cocoimage_filename[0] == os.sep: cocoimage_filename = cocoimage_filename[1:] # create coco image object coco_image = CocoImage(file_name=cocoimage_filename, height=image.size[1], width=image.size[0]) # read xml annotation file tree = ET.parse(annotation_filepath) xml_root = tree.getroot() # get all object tags in the xml file objects = xml_root.findall('object') for obj in objects: cat_name = obj[0].text bbox_tag = obj[2] xmin = int(obj[2][0].text) ymin = int(obj[2][1].text) xmax = int(obj[2][2].text) ymax = int(obj[2][3].text) # # width = maxx-minx, height = maxy-miny width = xmax - xmin height = ymax - ymin bbox = [xmin, ymin, width, height] # get category id and name category_name = cat_name if category_name in category_id_remapping.keys(): remapped_category_id = category_id_remapping[category_name] else: continue # create coco annotation and append it to coco image coco_annotation = CocoAnnotation.from_coco_bbox( bbox=bbox, category_id=int(remapped_category_id), category_name=category_name, ) if mode == 'original': if coco_annotation.area > 0: coco_image.add_annotation(coco_annotation) elif mode == 'car_other': if 0 < coco_annotation.area < 400: coco_image.add_annotation(coco_annotation) elif mode == 'car': if 0 < coco_annotation.area < 400: coco_image.add_annotation(coco_annotation) coco.add_image(coco_image) save_path = output_file_path all_json_path = Path(save_path) / "{}.json".format(split_images_path.split('.')[0]) save_json(data=coco.json, save_path=all_json_path) if __name__ == "__main__": fire.Fire(dior_to_coco)