#!/usr/bin/python # xml是voc的格式 # json是coco的格式 import sys, os, json, glob import xml.etree.ElementTree as ET INITIAL_BBOXIds = 1 # PREDEF_CLASSE = {} PREDEF_CLASSE = {'ignored regions': 0, 'pedestrian': 1, 'people': 2, 'bicycle': 3, 'car': 4, 'van': 5, 'truck': 6, 'tricycle': 7, 'awning-tricycle': 8, 'bus': 9, 'motor': 10, 'others': 11} # 我全部转换了 # 我这里只想检测这十个类, 0和11没有加入转化。 # function def get(root, name): return root.findall(name) def get_and_check(root, name, length): vars = root.findall(name) if len(vars) == 0: raise NotImplementedError('Can not find %s in %s.' % (name, root.tag)) if length > 0 and len(vars) != length: raise NotImplementedError('The size of %s is supposed to be %d, but is %d.' % (name, length, len(vars))) if length == 1: vars = vars[0] return vars def convert(xml_paths, out_json): json_dict = {'images': [], 'type': 'instances', 'categories': [], 'annotations': []} categories = PREDEF_CLASSE bbox_id = INITIAL_BBOXIds for image_id, xml_f in enumerate(xml_paths): # 进度输出 sys.stdout.write('\r>> Converting image %d/%d' % ( image_id + 1, len(xml_paths))) sys.stdout.flush() tree = ET.parse(xml_f) root = tree.getroot() filename = get_and_check(root, 'filename', 1).text size = get_and_check(root, 'size', 1) width = int(get_and_check(size, 'width', 1).text) height = int(get_and_check(size, 'height', 1).text) image = {'file_name': filename, 'height': height, 'width': width, 'id': image_id + 1} json_dict['images'].append(image) ## Cruuently we do not support segmentation # segmented = get_and_check(root, 'segmented', 1).text # assert segmented == '0' for obj in get(root, 'object'): category = get_and_check(obj, 'name', 1).text if category not in categories: new_id = max(categories.values()) + 1 categories[category] = new_id category_id = categories[category] bbox = get_and_check(obj, 'bndbox', 1) xmin = int(get_and_check(bbox, 'xmin', 1).text) - 1 ymin = int(get_and_check(bbox, 'ymin', 1).text) - 1 xmax = int(get_and_check(bbox, 'xmax', 1).text) ymax = int(get_and_check(bbox, 'ymax', 1).text) if xmax <= xmin or ymax <= ymin: continue o_width = abs(xmax - xmin) o_height = abs(ymax - ymin) ann = {'area': o_width * o_height, 'iscrowd': 0, 'image_id': image_id + 1, 'bbox': [xmin, ymin, o_width, o_height], 'category_id': category_id, 'id': bbox_id, 'ignore': 0, 'segmentation': []} json_dict['annotations'].append(ann) bbox_id = bbox_id + 1 for cate, cid in categories.items(): cat = {'supercategory': 'none', 'id': cid, 'name': cate} json_dict['categories'].append(cat) # json_file = open(out_json, 'w') # json_str = json.dumps(json_dict) # json_file.write(json_str) # json_file.close() # 快 json.dump(json_dict, open(out_json, 'w'), indent=4) # indent=4 更加美观显示 慢 if __name__ == '__main__': xml_path = r'VisDrone2019-DET-val/Annotations_XML/' # 改一下读取xml文件位置 xml_file = glob.glob(os.path.join(xml_path, '*.xml')) convert(xml_file, r'VisDrone2019-DET-val/VisDrone2019-DET-val.json') # 这里是生成的json保存位置,改一下