initial implementation of kuukar_cv

kuukar/kuukar_cv.py

@@ -1,17 +1,30 @@
 from kuukar.kuukar_lcd import lcd
 from kuukar.kuukar_leds import leds
+import threading
+import multiprocessing
+import cv2
+
 
 
 class cv:
     def __init__(self, lcd: lcd, leds: leds) -> None:
         self.lcd = lcd
         self.leds = leds
+        self.camera = cv2.VideoCapture(0)
+        threading.Thread(target=self._cv_loop).start()
+
+    def _cv_loop(self):
+        while True:
+            img = self.capture_image()
+            stop_sign = self.detect_sign(img)
+            
 
     def capture_image(self):
-        pass
-
-    def detect_face(self, image):
-        pass
-
-    def handle_face_detected(self):
-        pass
+        ret, frame = self.camera.read()
+        return frame
+    def detect_sign(self, frame):
+        stopsign_cascade = cv2.CascadeClassifier('./stopsign_good.xml')
+        image = frame.array
+        gray_img=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
+        found_stopsigns=stopsign_cascade.detectMultiScale(gray_img,1.1,5)
+        return found_stopsigns

requirements.txt

@@ -1,3 +1,4 @@
 telemetrix-rpi-pico
 pyaudio
 flask
+opencv-python