test app.py

app.py

@@ -0,0 +1,86 @@
+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import pathlib
+
+import gradio as gr
+import mediapipe as mp
+import numpy as np
+
+mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
+mp_face_mesh = mp.solutions.face_mesh
+
+TITLE = "MediaPipe Face Mesh"
+DESCRIPTION = "https://google.github.io/mediapipe/"
+
+
+def run(
+    image: np.ndarray,
+    max_num_faces: int,
+    min_detection_confidence: float,
+    show_tesselation: bool,
+    show_contours: bool,
+    show_irises: bool,
+) -> np.ndarray:
+    with mp_face_mesh.FaceMesh(
+        static_image_mode=True,
+        max_num_faces=max_num_faces,
+        refine_landmarks=True,
+        min_detection_confidence=min_detection_confidence,
+    ) as face_mesh:
+        results = face_mesh.process(image)
+
+    res = image[:, :, ::-1].copy()
+    if results.multi_face_landmarks is not None:
+        for face_landmarks in results.multi_face_landmarks:
+            if show_tesselation:
+                mp_drawing.draw_landmarks(
+                    image=res,
+                    landmark_list=face_landmarks,
+                    connections=mp_face_mesh.FACEMESH_TESSELATION,
+                    landmark_drawing_spec=None,
+                    connection_drawing_spec=mp_drawing_styles.get_default_face_mesh_tesselation_style(),
+                )
+            if show_contours:
+                mp_drawing.draw_landmarks(
+                    image=res,
+                    landmark_list=face_landmarks,
+                    connections=mp_face_mesh.FACEMESH_CONTOURS,
+                    landmark_drawing_spec=None,
+                    connection_drawing_spec=mp_drawing_styles.get_default_face_mesh_contours_style(),
+                )
+            if show_irises:
+                mp_drawing.draw_landmarks(
+                    image=res,
+                    landmark_list=face_landmarks,
+                    connections=mp_face_mesh.FACEMESH_IRISES,
+                    landmark_drawing_spec=None,
+                    connection_drawing_spec=mp_drawing_styles.get_default_face_mesh_iris_connections_style(),
+                )
+
+    return res[:, :, ::-1]
+
+
+image_paths = sorted(pathlib.Path("images").rglob("*.jpg"))
+examples = [[path, 5, 0.5, True, True, True] for path in image_paths]
+
+demo = gr.Interface(
+    fn=run,
+    inputs=[
+        gr.Image(label="Input", type="numpy"),
+        gr.Slider(label="Max Number of Faces", minimum=0, maximum=10, step=1, value=5),
+        gr.Slider(label="Minimum Detection Confidence", minimum=0, maximum=1, step=0.05, value=0.5),
+        gr.Checkbox(label="Show Tesselation", value=True),
+        gr.Checkbox(label="Show Contours", value=True),
+        gr.Checkbox(label="Show Irises", value=True),
+    ],
+    outputs=gr.Image(label="Output"),
+    examples=examples,
+    title=TITLE,
+    description=DESCRIPTION,
+)
+
+if __name__ == "__main__":
+    demo.queue().launch()