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yolov6/data/voc2yolo.py

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+import xml.etree.ElementTree as ET
+from tqdm import tqdm
+import os
+import shutil
+import argparse
+
+# VOC dataset (refer https://github.com/ultralytics/yolov5/blob/master/data/VOC.yaml)
+# VOC2007 trainval: 446MB, 5012 images
+# VOC2007 test:     438MB, 4953 images
+# VOC2012 trainval: 1.95GB, 17126 images
+
+VOC_NAMES = ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog',
+             'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']
+
+
+def convert_label(path, lb_path, year, image_id):
+    def convert_box(size, box):
+        dw, dh = 1. / size[0], 1. / size[1]
+        x, y, w, h = (box[0] + box[1]) / 2.0 - 1, (box[2] + box[3]) / 2.0 - 1, box[1] - box[0], box[3] - box[2]
+        return x * dw, y * dh, w * dw, h * dh
+    in_file = open(os.path.join(path, f'VOC{year}/Annotations/{image_id}.xml'))
+    out_file = open(lb_path, 'w')
+    tree = ET.parse(in_file)
+    root = tree.getroot()
+    size = root.find('size')
+    w = int(size.find('width').text)
+    h = int(size.find('height').text)
+    for obj in root.iter('object'):
+        cls = obj.find('name').text
+        if cls in VOC_NAMES and not int(obj.find('difficult').text) == 1:
+            xmlbox = obj.find('bndbox')
+            bb = convert_box((w, h), [float(xmlbox.find(x).text) for x in ('xmin', 'xmax', 'ymin', 'ymax')])
+            cls_id = VOC_NAMES.index(cls)  # class id
+            out_file.write(" ".join([str(a) for a in (cls_id, *bb)]) + '\n')
+
+
+def gen_voc07_12(voc_path):
+    '''
+    Generate voc07+12 setting dataset:
+    train: # train images 16551 images
+        - images/train2012
+        - images/train2007
+        - images/val2012
+        - images/val2007
+    val: # val images (relative to 'path')  4952 images
+        - images/test2007
+    '''
+    dataset_root = os.path.join(voc_path, 'voc_07_12')
+    if not os.path.exists(dataset_root):
+        os.makedirs(dataset_root)
+
+    dataset_settings = {'train': ['train2007', 'val2007', 'train2012', 'val2012'], 'val':['test2007']}
+    for item in ['images', 'labels']:
+        for data_type, data_list in dataset_settings.items():
+            for data_name in data_list:
+                ori_path = os.path.join(voc_path, item, data_name)
+                new_path = os.path.join(dataset_root, item, data_type)
+                if not os.path.exists(new_path):
+                    os.makedirs(new_path)
+
+                print(f'[INFO]: Copying {ori_path} to {new_path}')
+                for file in os.listdir(ori_path):
+                    shutil.copy(os.path.join(ori_path, file), new_path)
+
+
+def main(args):
+    voc_path = args.voc_path
+    for year, image_set in ('2012', 'train'), ('2012', 'val'), ('2007', 'train'), ('2007', 'val'), ('2007', 'test'):
+        imgs_path = os.path.join(voc_path, 'images', f'{image_set}')
+        lbs_path = os.path.join(voc_path, 'labels', f'{image_set}')
+
+        try:
+            with open(os.path.join(voc_path, f'VOC{year}/ImageSets/Main/{image_set}.txt'), 'r') as f:
+                image_ids = f.read().strip().split()
+            if not os.path.exists(imgs_path):
+                os.makedirs(imgs_path)
+            if not os.path.exists(lbs_path):
+                os.makedirs(lbs_path)
+
+            for id in tqdm(image_ids, desc=f'{image_set}{year}'):
+                f = os.path.join(voc_path, f'VOC{year}/JPEGImages/{id}.jpg')  # old img path
+                lb_path = os.path.join(lbs_path, f'{id}.txt')  # new label path
+                convert_label(voc_path, lb_path, year, id)  # convert labels to YOLO format
+                if os.path.exists(f):
+                    shutil.move(f, imgs_path)       # move image
+        except Exception as e:
+            print(f'[Warning]: {e} {year}{image_set} convert fail!')
+
+    gen_voc07_12(voc_path)
+
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--voc_path', default='VOCdevkit')
+
+    args = parser.parse_args()
+    print(args)
+
+    main(args)