眨眼频率、眼动分析、心率、视频录制

reproject/server_demo.py

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+import time
+import numpy as np
+import cv2
+
+from webrtc_server import WebRTCServer
+
+FPS = 60
+
+server = WebRTCServer(fps=FPS)
+server.start()
+
+
+def run_ani():
+    width, height = 1920, 1080
+    frame_count = 60
+    while True:
+        frame = np.zeros((height, width, 3), dtype=np.uint8)
+        center_x = (frame_count * 10) % width
+        cv2.circle(frame, (center_x, height // 2), 50, (0, 255, 0), -1)
+        cv2.putText(
+            frame,
+            f"AniCam Frame: {frame_count}",
+            (10, 30),
+            cv2.FONT_HERSHEY_SIMPLEX,
+            1,
+            (255, 255, 255),
+            2,
+        )
+        color = (frame_count * 5 % 256, 100, 200)
+        cv2.rectangle(frame, (50, 50), (150, 150), color, -1)
+        server.provide_frame(frame)
+        frame_count += 1
+        time.sleep(1 / FPS)
+
+
+def run_cam(device_id):
+    cap = cv2.VideoCapture(device_id)
+    cap.set(cv2.CAP_PROP_FRAME_WIDTH, 2560)
+    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1440)
+    while True:
+        ret, frame = cap.read()
+        if ret:
+            server.provide_frame(frame)
+            cv2.imshow("Camera", frame)
+        time.sleep(1 / FPS)
+
+
+if __name__ == "__main__":
+    run_cam(0)