Create webrtc_helpers.py

sample_utils/webrtc_helpers.py

@@ -0,0 +1,45 @@
+import cv2
+import numpy as np
+from cvzone.HandTrackingModule import HandDetector
+
+class Button:
+    def __init__(self, pos, text, size=[100, 100]):
+        self.pos = pos
+        self.size = size
+        self.text = text
+
+def process_video_frame(frame, detector, segmentor, imgList, indexImg, keys, session_state):
+    image = frame.to_ndarray(format="bgr24")
+    imgOut = segmentor.removeBG(image, imgList[indexImg])
+
+    hands, img = detector.findHands(imgOut, flipType=False)
+    keyboard_canvas = np.zeros_like(img)
+    buttonList = []
+
+    for key in keys[0]:
+        buttonList.append(Button([30 + keys[0].index(key) * 105, 30], key))
+    for key in keys[1]:
+        buttonList.append(Button([30 + keys[1].index(key) * 105, 150], key))
+    for key in keys[2]:
+        buttonList.append(Button([30 + keys[2].index(key) * 105, 260], key))
+
+    for button in buttonList:
+        x, y = button.pos
+        cv2.rectangle(keyboard_canvas, (x, y), (x + button.size[0], y + button.size[1]), (255, 255, 255), -1)
+        cv2.putText(keyboard_canvas, button.text, (x + 20, y + 70), cv2.FONT_HERSHEY_PLAIN, 5, (0, 0, 0), 3)
+
+    # Handle input and gestures
+    if hands:
+        for hand in hands:
+            lmList = hand["lmList"]
+            if lmList:
+                x8, y8 = lmList[8][0], lmList[8][1]
+                for button in buttonList:
+                    bx, by = button.pos
+                    bw, bh = button.size
+                    if bx < x8 < bx + bw and by < y8 < by + bh:
+                        cv2.rectangle(img, (bx, by), (bx + bw, by + bh), (0, 255, 0), -1)
+                        cv2.putText(img, button.text, (bx + 20, by + 70), cv2.FONT_HERSHEY_PLAIN, 5, (255, 255, 255), 3)
+                        session_state["output_text"] += button.text
+
+    return frame.from_ndarray(img, format="bgr24")