Update inspireface to 1.2.0

cpp-package/inspireface/python/sample_video.py

@@ -0,0 +1,51 @@
+import os
+import cv2
+import inspireface as isf
+import numpy as np
+import os
+import cv2
+
+
+def get_quality(image, session: isf.InspireFaceSession) -> float:
+    select_exec_func = isf.HF_ENABLE_QUALITY | isf.HF_ENABLE_MASK_DETECT | isf.HF_ENABLE_LIVENESS | isf.HF_ENABLE_INTERACTION | isf.HF_ENABLE_FACE_ATTRIBUTE
+    faces = session.face_detection(image)
+    if len(faces) > 0:
+        extends = session.face_pipeline(image, faces, select_exec_func)
+        if len(faces) == 0:
+            return 0
+        for idx, ext in enumerate(extends):
+            print(f"{'==' * 20}")
+            print(f"idx: {idx}")
+            # For these pipeline results, you can set thresholds based on the specific scenario to make judgments.
+            print(f"quality: {ext.quality_confidence}")
+            print(f"rgb liveness: {ext.rgb_liveness_confidence}")
+            print(f"face mask: {ext.mask_confidence}")
+            print(
+                f"face eyes status: left eye: {ext.left_eye_status_confidence} right eye: {ext.right_eye_status_confidence}")
+            print(f"gender: {ext.gender}")
+            print(f"race: {ext.race}")
+            print(f"age: {ext.age_bracket}")
+
+
+if __name__ == "__main__":
+    register_exec_func = isf.HF_ENABLE_QUALITY | isf.HF_ENABLE_MASK_DETECT | isf.HF_ENABLE_LIVENESS | isf.HF_ENABLE_INTERACTION | isf.HF_ENABLE_FACE_ATTRIBUTE
+    session = isf.InspireFaceSession(register_exec_func, isf.HF_DETECT_MODE_ALWAYS_DETECT)
+    cam = cv2.VideoCapture(0)
+    while True:
+        ret, frame = cam.read()
+        if not ret:
+            break
+            
+        quality = get_quality(frame, session)
+        
+        faces = session.face_detection(frame)
+        for face in faces:
+            x1, y1, x2, y2 = face.location
+            cv2.rectangle(frame, (int(x1), int(y1)), (int(x2), int(y2)), (0, 255, 0), 2)
+            
+        cv2.imshow('Video', frame)
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
+            
+    cam.release()
+    cv2.destroyAllWindows()