Update

.pre-commit-config.yaml

@@ -1,35 +1,60 @@
 repos:
-- repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.2.0
-  hooks:
-  - id: check-executables-have-shebangs
-  - id: check-json
-  - id: check-merge-conflict
-  - id: check-shebang-scripts-are-executable
-  - id: check-toml
-  - id: check-yaml
-  - id: double-quote-string-fixer
-  - id: end-of-file-fixer
-  - id: mixed-line-ending
-    args: ['--fix=lf']
-  - id: requirements-txt-fixer
-  - id: trailing-whitespace
-- repo: https://github.com/myint/docformatter
-  rev: v1.4
-  hooks:
-  - id: docformatter
-    args: ['--in-place']
-- repo: https://github.com/pycqa/isort
-  rev: 5.12.0
-  hooks:
-    - id: isort
-- repo: https://github.com/pre-commit/mirrors-mypy
-  rev: v0.991
-  hooks:
-    - id: mypy
-      args: ['--ignore-missing-imports']
-- repo: https://github.com/google/yapf
-  rev: v0.32.0
-  hooks:
-  - id: yapf
-    args: ['--parallel', '--in-place']
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.6.0
+    hooks:
+      - id: check-executables-have-shebangs
+      - id: check-json
+      - id: check-merge-conflict
+      - id: check-shebang-scripts-are-executable
+      - id: check-toml
+      - id: check-yaml
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+        args: ["--fix=lf"]
+      - id: requirements-txt-fixer
+      - id: trailing-whitespace
+  - repo: https://github.com/myint/docformatter
+    rev: v1.7.5
+    hooks:
+      - id: docformatter
+        args: ["--in-place"]
+  - repo: https://github.com/pycqa/isort
+    rev: 5.13.2
+    hooks:
+      - id: isort
+        args: ["--profile", "black"]
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.10.0
+    hooks:
+      - id: mypy
+        args: ["--ignore-missing-imports"]
+        additional_dependencies:
+          [
+            "types-python-slugify",
+            "types-requests",
+            "types-PyYAML",
+            "types-pytz",
+          ]
+  - repo: https://github.com/psf/black
+    rev: 24.4.2
+    hooks:
+      - id: black
+        language_version: python3.10
+        args: ["--line-length", "119"]
+  - repo: https://github.com/kynan/nbstripout
+    rev: 0.7.1
+    hooks:
+      - id: nbstripout
+        args:
+          [
+            "--extra-keys",
+            "metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
+          ]
+  - repo: https://github.com/nbQA-dev/nbQA
+    rev: 1.8.5
+    hooks:
+      - id: nbqa-black
+      - id: nbqa-pyupgrade
+        args: ["--py37-plus"]
+      - id: nbqa-isort
+        args: ["--float-to-top"]

.style.yapf

@@ -1,5 +0,0 @@
-[style]
-based_on_style = pep8
-blank_line_before_nested_class_or_def = false
-spaces_before_comment = 2
-split_before_logical_operator = true

.vscode/settings.json

@@ -0,0 +1,30 @@
+{
+    "editor.formatOnSave": true,
+    "files.insertFinalNewline": false,
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter",
+        "editor.formatOnType": true,
+        "editor.codeActionsOnSave": {
+            "source.organizeImports": "explicit"
+        }
+    },
+    "[jupyter]": {
+        "files.insertFinalNewline": false
+    },
+    "black-formatter.args": [
+        "--line-length=119"
+    ],
+    "isort.args": ["--profile", "black"],
+    "flake8.args": [
+        "--max-line-length=119"
+    ],
+    "ruff.lint.args": [
+        "--line-length=119"
+    ],
+    "notebook.output.scrolling": true,
+    "notebook.formatOnCellExecution": true,
+    "notebook.formatOnSave.enabled": true,
+        "notebook.codeActionsOnSave": {
+            "source.organizeImports": "explicit"
+        }
+}

README.md

@@ -4,7 +4,7 @@ emoji: 👁
 colorFrom: blue
 colorTo: gray
 sdk: gradio
-sdk_version: 3.36.1
+sdk_version: 4.33.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -12,26 +12,32 @@ mp_drawing = mp.solutions.drawing_utils
 mp_drawing_styles = mp.solutions.drawing_styles
 mp_pose = mp.solutions.pose
 
-TITLE = 'MediaPipe Human Pose Estimation'
-DESCRIPTION = 'https://google.github.io/mediapipe/'
+TITLE = "MediaPipe Human Pose Estimation"
+DESCRIPTION = "https://google.github.io/mediapipe/"
 
 
-def run(image: np.ndarray, model_complexity: int, enable_segmentation: bool,
-        min_detection_confidence: float, background_color: str) -> np.ndarray:
+def run(
+    image: np.ndarray,
+    model_complexity: int,
+    enable_segmentation: bool,
+    min_detection_confidence: float,
+    background_color: str,
+) -> np.ndarray:
     with mp_pose.Pose(
-            static_image_mode=True,
-            model_complexity=model_complexity,
-            enable_segmentation=enable_segmentation,
-            min_detection_confidence=min_detection_confidence) as pose:
+        static_image_mode=True,
+        model_complexity=model_complexity,
+        enable_segmentation=enable_segmentation,
+        min_detection_confidence=min_detection_confidence,
+    ) as pose:
         results = pose.process(image)
 
     res = image[:, :, ::-1].copy()
     if enable_segmentation:
-        if background_color == 'white':
+        if background_color == "white":
             bg_color = 255
-        elif background_color == 'black':
+        elif background_color == "black":
             bg_color = 0
-        elif background_color == 'green':
+        elif background_color == "green":
             bg_color = (0, 255, 0)  # type: ignore
         else:
             raise ValueError
@@ -41,43 +47,36 @@ def run(image: np.ndarray, model_complexity: int, enable_segmentation: bool,
         else:
             res[:] = bg_color
 
-    mp_drawing.draw_landmarks(res,
-                              results.pose_landmarks,
-                              mp_pose.POSE_CONNECTIONS,
-                              landmark_drawing_spec=mp_drawing_styles.
-                              get_default_pose_landmarks_style())
+    mp_drawing.draw_landmarks(
+        res,
+        results.pose_landmarks,
+        mp_pose.POSE_CONNECTIONS,
+        landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style(),
+    )
 
     return res[:, :, ::-1]
 
 
 model_complexities = list(range(3))
-background_colors = ['white', 'black', 'green']
+background_colors = ["white", "black", "green"]
 
-image_paths = sorted(pathlib.Path('images').rglob('*.jpg'))
-examples = [[path, model_complexities[1], True, 0.5, background_colors[0]]
-            for path in image_paths]
+image_paths = sorted(pathlib.Path("images").rglob("*.jpg"))
+examples = [[path, model_complexities[1], True, 0.5, background_colors[0]] for path in image_paths]
 
-gr.Interface(
+demo = gr.Interface(
     fn=run,
     inputs=[
-        gr.Image(label='Input', type='numpy'),
-        gr.Radio(label='Model Complexity',
-                 choices=model_complexities,
-                 type='index',
-                 value=model_complexities[1]),
-        gr.Checkbox(label='Enable Segmentation', value=True),
-        gr.Slider(label='Minimum Detection Confidence',
-                  minimum=0,
-                  maximum=1,
-                  step=0.05,
-                  value=0.5),
-        gr.Radio(label='Background Color',
-                 choices=background_colors,
-                 type='value',
-                 value=background_colors[0]),
+        gr.Image(label="Input", type="numpy"),
+        gr.Radio(label="Model Complexity", choices=model_complexities, type="index", value=model_complexities[1]),
+        gr.Checkbox(label="Enable Segmentation", value=True),
+        gr.Slider(label="Minimum Detection Confidence", minimum=0, maximum=1, step=0.05, value=0.5),
+        gr.Radio(label="Background Color", choices=background_colors, type="value", value=background_colors[0]),
     ],
-    outputs=gr.Image(label='Output', height=500),
+    outputs=gr.Image(label="Output"),
     examples=examples,
     title=TITLE,
     description=DESCRIPTION,
-).queue().launch()
+)
+
+if __name__ == "__main__":
+    demo.queue().launch()

requirements.txt

@@ -1,3 +1,3 @@
-mediapipe==0.10.1
-numpy==1.23.5
-opencv-python-headless==4.8.0.74
+mediapipe==0.10.14
+numpy==1.26.4
+opencv-python-headless==4.10.0.82