add detection

1 files changed, 57 insertions, 0 deletions

diff --git a/detection.py b/detection.py
new file mode 100644
index 0000000..fd200ab
--- /dev/null
+++ b/detection.py
@@ -0,0 +1,57 @@
+import cv2
+
+import numpy as np
+
+class Game:
+    def __init__(self) -> None:
+        # Open the webcame (0 is usually the default)
+        self.cap = cv2.VideoCapture(0)
+
+    def loop(self) -> None:
+        while True:
+            # Read frame
+            ret, frame = self.cap.read()
+
+            # If frame is not returned, break
+            if not ret:
+                break
+
+            # Convert frame from RGB to HSV, and define frame used for detection
+            det_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+
+            # Define lower green and upper green            
+            lower_green = np.array([60, 100, 100])
+            upper_green = np.array([100, 255, 255])
+
+            # Define green mask
+            green_mask = cv2.inRange(det_frame, lower_green, upper_green)
+
+            # Detect contours            
+            contours, _ = cv2.findContours(green_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+            
+            # Find largest contour
+            largest_contour = max(contours, key=cv2.contourArea) if contours else None
+
+            # If largest contour is present, draw a green rectangle
+            if largest_contour is not None:
+                x, y, w, h = cv2.boundingRect(largest_contour)
+                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+            
+            # Show frame
+            cv2.imshow('Foot Tracking', frame)
+            
+            # Quit if 'q' is pressed
+            if cv2.waitKey(1) & 0xFF == ord('q'):
+                self.stop()
+
+    def stop(self) -> None:
+        # Release captured webcam
+        self.cap.release()
+        
+        # Destroy all CV2 Windows
+        cv2.destroyAllWindows()
+
+if __name__ == '__main__':
+    game = Game()
+
+    game.loop()
\ No newline at end of file