Support yolov5 to yolov8

Author: SWHL

label_convert/yolov5_to_coco.py

@@ -80,7 +80,7 @@ def _init_json(self):
         ]
 
     def append_bg_img(self, img_list):
-        bg_dir = self.data_dir / "background_images"
+        bg_dir = self.data_dir / "non_labels"
         if bg_dir.exists():
             bg_img_list = list(bg_dir.iterdir())
             for bg_img_path in bg_img_list:

label_convert/yolov5_to_yolov8.py

@@ -0,0 +1,98 @@
+# -*- encoding: utf-8 -*-
+# @Author: SWHL
+# @Contact: liekkaskono@163.com
+import argparse
+import shutil
+from pathlib import Path
+from typing import Tuple, Union
+
+from tqdm import tqdm
+
+ValueType = Union[str, Path, None]
+
+
+class YOLOV5ToYOLOV8:
+    def __init__(self, data_dir: ValueType = None, save_dir: ValueType = None):
+        if data_dir is None:
+            raise ValueError("data_dir must not be None")
+        self.data_dir = Path(data_dir)
+        self.verify_exists(self.data_dir)
+
+        self.img_dir = self.data_dir / "images"
+        self.verify_exists(self.img_dir)
+
+        self.label_dir = self.data_dir / "labels"
+        self.verify_exists(self.label_dir)
+
+        if save_dir is None:
+            save_dir = self.data_dir.parent / f"{Path(self.data_dir).name}_yolov8"
+        self.save_dir = save_dir
+        self.mkdir(self.save_dir)
+
+        self.save_img_dir = save_dir / "images"
+        self.mkdir(self.save_img_dir)
+
+        self.save_label_dir = save_dir / "labels"
+        self.mkdir(self.save_label_dir)
+
+    def __call__(self, mode_list: Tuple[str] = ("train", "val")):
+        if not mode_list:
+            raise ValueError("mode_list is empty!!")
+
+        for mode in tqdm(mode_list):
+            txt_path = self.data_dir / f"{mode}.txt"
+            self.verify_exists(txt_path)
+            img_list = self.read_txt(txt_path)
+
+            save_mode_img_dir = self.save_img_dir / mode
+            self.mkdir(save_mode_img_dir)
+
+            save_mode_label_dir = self.save_label_dir / mode
+            self.mkdir(save_mode_label_dir)
+
+            # copy images to new img dir
+            for img_path in img_list:
+                img_full_path = self.data_dir / img_path
+                shutil.copy(img_full_path, save_mode_img_dir)
+
+                label_path = self.label_dir / Path(img_path).with_suffix(".txt").name
+                shutil.copy(label_path, save_mode_label_dir)
+
+        print(f"Successfully convert, detail in {self.save_dir}")
+
+    @staticmethod
+    def read_txt(txt_path):
+        with open(str(txt_path), "r", encoding="utf-8") as f:
+            data = list(map(lambda x: x.rstrip("\n"), f))
+        return data
+
+    @staticmethod
+    def mkdir(dir_path):
+        Path(dir_path).mkdir(parents=True, exist_ok=True)
+
+    @staticmethod
+    def verify_exists(file_path: Union[Path, str]):
+        if not Path(file_path).exists():
+            raise FileNotFoundError(f"The {file_path} is not exists!!!")
+
+
+def main():
+    parser = argparse.ArgumentParser("Datasets converter from YOLOV5 to COCO")
+    parser.add_argument(
+        "--data_dir",
+        type=str,
+        default="tests/test_files/yolov5_dataset",
+        help="Dataset root path",
+    )
+    parser.add_argument("--save_dir", type=str, default=None)
+    parser.add_argument(
+        "--mode_list", type=str, default="train,val", help="generate which mode"
+    )
+    args = parser.parse_args()
+
+    converter = YOLOV5ToYOLOV8(args.data_dir, args.save_dir)
+    converter(mode_list=args.mode_list.split(","))
+
+
+if __name__ == "__main__":
+    main()

label_convert/yolov8_to_yolov5.py

@@ -0,0 +1,99 @@
+# -*- encoding: utf-8 -*-
+# @Author: SWHL
+# @Contact: liekkaskono@163.com
+import argparse
+import shutil
+from pathlib import Path
+from typing import Tuple, Union
+
+from tqdm import tqdm
+
+ValueType = Union[str, Path, None]
+
+
+class YOLOV8ToYOLOV5:
+    def __init__(self, data_dir: ValueType = None, save_dir: ValueType = None):
+        if data_dir is None:
+            raise ValueError("data_dir must not be None")
+        self.data_dir = Path(data_dir)
+        self.verify_exists(self.data_dir)
+
+        self.img_dir = self.data_dir / "images"
+        self.verify_exists(self.img_dir)
+
+        self.label_dir = self.data_dir / "labels"
+        self.verify_exists(self.label_dir)
+
+        if save_dir is None:
+            save_dir = self.data_dir.parent / f"{Path(self.data_dir).name}_yolov8"
+        self.save_dir = save_dir
+        self.mkdir(self.save_dir)
+
+        self.save_img_dir = save_dir / "images"
+        self.mkdir(self.save_img_dir)
+
+        self.save_label_dir = save_dir / "labels"
+        self.mkdir(self.save_label_dir)
+
+    def __call__(self, mode_list: Tuple[str] = ("train", "val")):
+        if not mode_list:
+            raise ValueError("mode_list is empty!!")
+
+        for mode in tqdm(mode_list):
+            txt_path = self.data_dir / f"{mode}.txt"
+            self.verify_exists(txt_path)
+            img_list = self.read_txt(txt_path)
+
+            save_mode_img_dir = self.save_img_dir / mode
+            self.mkdir(save_mode_img_dir)
+
+            save_mode_label_dir = self.save_label_dir / mode
+            self.mkdir(save_mode_label_dir)
+
+            # copy images to new img dir
+            for img_path in img_list:
+                img_full_path = self.data_dir / img_path
+                shutil.copy(img_full_path, save_mode_img_dir)
+
+                label_path = self.label_dir / Path(img_path).with_suffix(".txt").name
+                shutil.copy(label_path, save_mode_label_dir)
+
+        print(f"Successfully convert, detail in {self.save_dir}")
+
+    @staticmethod
+    def read_txt(txt_path):
+        with open(str(txt_path), "r", encoding="utf-8") as f:
+            data = list(map(lambda x: x.rstrip("\n"), f))
+        return data
+
+    @staticmethod
+    def mkdir(dir_path):
+        Path(dir_path).mkdir(parents=True, exist_ok=True)
+
+    @staticmethod
+    def verify_exists(file_path: Union[Path, str]):
+        if not Path(file_path).exists():
+            raise FileNotFoundError(f"The {file_path} is not exists!!!")
+
+
+def main():
+    parser = argparse.ArgumentParser("Datasets converter from YOLOV5 to COCO")
+    parser.add_argument(
+        "--data_dir",
+        type=str,
+        default="tests/test_files/yolov5_dataset",
+        help="Dataset root path",
+    )
+    parser.add_argument("--save_dir", type=str, default=None)
+    parser.add_argument(
+        "--mode_list", type=str, default="train,val", help="generate which mode"
+    )
+    parser.add_argument("--yaml_path", type=str, default=None)
+    args = parser.parse_args()
+
+    converter = YOLOV8ToYOLOV5(args.data_dir, args.save_dir)
+    converter(mode_list=args.mode_list.split(","))
+
+
+if __name__ == "__main__":
+    main()

tests/test_files/yolov8_dataset/images/train/0dcddf72-0cd7-4577-b59b-ed191863a13d_png.rf.7ed0e14fcc5dde85d883c6d41187908b.jpg

@@ -0,0 +1,4 @@
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tests/test_files/yolov8_dataset/images/train/images(3).jpg

@@ -0,0 +1,5 @@
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+0 0.243304 0.792411 0.379464 0.379464
+0 0.774554 0.796875 0.370536 0.370536

tests/test_files/yolov8_dataset/images/val/8ae4af51-4376-4d42-b6bd-54d17c8c5e02_png.rf.2db43284642a5e92dfe56830435549a1.jpg

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