Bump version to v2.3.5

README.md

@@ -71,8 +71,10 @@
 
 ## 🥳 What's New [⏏️](#📄-table-of-contents)
 
+- Mar. 2024:
+  - 🤗 Release the latest version [2.3.5](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.5) 🤗
 - Feb. 2024:
-  - 🤗 Release the latest version [2.3.4](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.4) 🤗
+  - Release version [2.3.4](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.4).
   - Enable label display feature.
   - Release version [2.3.3](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.3).
   - ✨✨✨ Support [YOLO-World](https://github.com/AILab-CVC/YOLO-World) model.

README_zh-CN.md

@@ -16,7 +16,16 @@
     <a href="https://github.com/CVHub520/X-AnyLabeling/stargazers"><img src="https://img.shields.io/github/stars/CVHub520/X-AnyLabeling?color=ccf"></a>
 </p>
 
-![](https://user-images.githubusercontent.com/18329471/234640541-a6a65fbc-d7a5-4ec3-9b65-55305b01a7aa.png)
+| ![Grounding DINO](https://user-images.githubusercontent.com/72010077/277691916-58be8e7d-133c-4df8-9416-d3243fc7a335.gif) | ![Recognize Anything Model](https://user-images.githubusercontent.com/72010077/277692001-b58832b3-4c21-4c6f-9121-02d9daf2b02b.gif) |
+|:---:|:---:|
+| *SOTA Zero-Shot Openset Object Detection Model* | *Strong Image Tagging Model* |
+
+| ![Segment Anything Model](https://user-images.githubusercontent.com/72010077/277405591-5ebffdcf-83e8-4999-9594-ee4058627d47.gif) | ![PULC PersonAttribute Model](https://user-images.githubusercontent.com/72010077/282393906-059920cc-0f65-4d2c-9350-941aaa8bbd02.png) |
+|:---:|:---:|
+| *Powerful Object Segmentation Anything Model* | *Advanced Multi-Label Classification Model* |
+
+
+
 
 <div align=center>
   <figure>
@@ -69,10 +78,12 @@
 
 ## 🥳 新功能 [⏏️](#📄-目录)
 
+- 2024年3月：
+  - 🤗 发布[2.3.5](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.5)最新版本 🤗
 - 2024年2月：
-  - 🤗 发布[2.3.4](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.4)最新版本 🤗
+  - 发布[2.3.4](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.4)版本。
   - 支持标签显示功能。
-  - 发布[2.3.3](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.0)版本。
+  - 发布[2.3.3](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.3)版本。
   - ✨✨✨ 支持[YOLO-World](https://github.com/AILab-CVC/YOLO-World)模型。
   - 发布[2.3.2](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.2)版本。
   - 支持[YOLOv9](https://github.com/WongKinYiu/yolov9)模型。

anylabeling/app_info.py

@@ -1,4 +1,4 @@
 __appname__ = "X-AnyLabeling"
 __appdescription__ = "Advanced Auto Labeling Solution with Added Features"
-__version__ = "2.3.4"
+__version__ = "2.3.5"
 __preferred_device__ = "CPU"  # GPU or CPU

anylabeling/views/labeling/label_file.py

@@ -44,7 +44,7 @@ def __init__(self, filename=None, image_dir=None):
     @staticmethod
     def load_image_file(filename, default=None):
         try:
-            with open(filename, 'rb') as f:
+            with open(filename, "rb") as f:
                 return f.read()
         except:
             logger.error("Failed opening image file: %s", filename)

anylabeling/views/labeling/label_widget.py

@@ -1170,7 +1170,7 @@ def __init__(
                 modify_label,
                 None,
                 hbb_to_obb,
-                obb_to_hbb
+                obb_to_hbb,
             ),
         )
         utils.add_actions(
@@ -1574,7 +1574,7 @@ def set_dirty(self):
             label_file = osp.splitext(self.image_path)[0] + ".json"
             if self.output_dir:
                 label_file_without_path = osp.basename(label_file)
-                label_file = self.output_dir + '/' + label_file_without_path
+                label_file = self.output_dir + "/" + label_file_without_path
             self.save_labels(label_file)
             return
         self.dirty = True
@@ -1759,7 +1759,9 @@ def obb_to_hbb(self):
                     if data["shapes"][i]["shape_type"] == "rotation":
                         del data["shapes"][i]["direction"]
                         data["shapes"][i]["shape_type"] = "rectangle"
-                        points = np.array(data["shapes"][i]["points"]).astype(np.int32)
+                        points = np.array(data["shapes"][i]["points"]).astype(
+                            np.int32
+                        )
                         x, y, w, h = map(int, list(cv2.boundingRect(points)))
                         data["shapes"][i]["points"] = [
                             [x, y],
@@ -1870,7 +1872,11 @@ def save_crop(self, mode="default"):
                     data = json.load(f)
                 shapes = data["shapes"]
                 for shape in shapes:
-                    if shape["shape_type"] in ["rectangle", "polygon", "rotation"]:
+                    if shape["shape_type"] in [
+                        "rectangle",
+                        "polygon",
+                        "rotation",
+                    ]:
                         points = np.array(shape["points"]).astype(np.int32)
                         x, y, w, h = cv2.boundingRect(points)
                         xmin = int(x)
@@ -3091,7 +3097,7 @@ def load_file(self, filename=None):  # noqa: C901
         if self.output_dir:
             image_dir = osp.dirname(filename)
             label_file_without_path = osp.basename(label_file)
-            label_file = self.output_dir + '/' + label_file_without_path
+            label_file = self.output_dir + "/" + label_file_without_path
         if QtCore.QFile.exists(label_file) and LabelFile.is_label_file(
             label_file
         ):
@@ -4697,7 +4703,7 @@ def import_dropped_image_files(self, image_files):
             label_file = osp.splitext(file)[0] + ".json"
             if self.output_dir:
                 label_file_without_path = osp.basename(label_file)
-                label_file = self.output_dir + '/' + label_file_without_path
+                label_file = self.output_dir + "/" + label_file_without_path
             item = QtWidgets.QListWidgetItem(file)
             item.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable)
             if QtCore.QFile.exists(label_file) and LabelFile.is_label_file(
@@ -4730,7 +4736,7 @@ def import_image_folder(self, dirpath, pattern=None, load=True):
             label_file = osp.splitext(filename)[0] + ".json"
             if self.output_dir:
                 label_file_without_path = osp.basename(label_file)
-                label_file = self.output_dir + '/' + label_file_without_path
+                label_file = self.output_dir + "/" + label_file_without_path
             item = QtWidgets.QListWidgetItem(filename)
             item.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable)
             if QtCore.QFile.exists(label_file) and LabelFile.is_label_file(

anylabeling/views/labeling/widgets/canvas.py

@@ -706,7 +706,11 @@ def select_shape_point(self, point, multiple_selection_mode):
 
         else:
             for shape in reversed(self.shapes):
-                if self.is_visible(shape) and len(shape.points) > 1 and shape.contains_point(point):
+                if (
+                    self.is_visible(shape)
+                    and len(shape.points) > 1
+                    and shape.contains_point(point)
+                ):
                     self.set_hiding()
                     if shape not in self.selected_shapes:
                         if multiple_selection_mode:

assets/demo.json

@@ -1,5 +1,5 @@
 {
-  "version": "2.3.4",
+  "version": "2.3.5",
   "flags": {},
   "shapes": [
     {

docs/en/get_started.md

@@ -61,7 +61,7 @@ To ensure access to the latest features and stable performance, it is highly rec
 
 Running in the GUI environment is convenient but may have limitations compared to running from the source code. Consider the pros and cons based on your specific needs and preferences.
 
-Download Link: [Release](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.4) | [Baidu Disk](https://pan.baidu.com/s/1KcbdxX7UD01_awzKMxScyQ?pwd=gv49)
+Download Link: [Release](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.5) | [Baidu Disk](https://pan.baidu.com/s/1n3vfXZpBUG9s12NZjMxhlw?pwd=odyi)
 
 Note:
 - For MacOS:

docs/zh_cn/get_started.md

@@ -74,7 +74,7 @@ python anylabeling/app.py
 
 为了在选择运行方式时能够更好地权衡利弊，建议用户根据具体需求和偏好，灵活选择源码运行或GUI环境运行，以达到最佳的使用体验。
 
-下载链接：[Release](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v2.3.4) | [百度网盘](https://pan.baidu.com/s/1KcbdxX7UD01_awzKMxScyQ?pwd=gv49)
+下载链接：[Release](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v5) | [百度网盘](https://pan.baidu.com/s/1n3vfXZpBUG9s12NZjMxhlw?pwd=odyi)
 
 
 ### 文件导入

scripts/zip_models.py

@@ -75,7 +75,7 @@ def get_filename_from_url(url):
         "sam_med2d",
         "sam_hq",
         "efficientvit_sam",
-        "grounding_sam",
+        "edeg_sam",
     ]:
         model_config["encoder_model_path"] = get_filename_from_url(
             model_config["encoder_model_path"]