Cleanup.

OCR/realtime_shape_detection.py

-import cv2
-import numpy as np
-
-def nothing(x):
-    # any operation
-    pass
-# XXX: Ivan, index 2 is somehow changing for my cam
-cap = cv2.VideoCapture(2)
-
-cv2.namedWindow("Trackbars")
-cv2.createTrackbar("L-H", "Trackbars", 0, 180, nothing)
-cv2.createTrackbar("L-S", "Trackbars", 66, 255, nothing)
-cv2.createTrackbar("L-V", "Trackbars", 134, 255, nothing)
-cv2.createTrackbar("U-H", "Trackbars", 180, 180, nothing)
-cv2.createTrackbar("U-S", "Trackbars", 255, 255, nothing)
-cv2.createTrackbar("U-V", "Trackbars", 243, 255, nothing)
-
-font = cv2.FONT_HERSHEY_COMPLEX
-
-while True:
-    _, frame = cap.read()
-    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
-
-    l_h = cv2.getTrackbarPos("L-H", "Trackbars")
-    l_s = cv2.getTrackbarPos("L-S", "Trackbars")
-    l_v = cv2.getTrackbarPos("L-V", "Trackbars")
-    u_h = cv2.getTrackbarPos("U-H", "Trackbars")
-    u_s = cv2.getTrackbarPos("U-S", "Trackbars")
-    u_v = cv2.getTrackbarPos("U-V", "Trackbars")
-
-    lower_red = np.array([l_h, l_s, l_v])
-    upper_red = np.array([u_h, u_s, u_v])
-
-    mask = cv2.inRange(hsv, lower_red, upper_red)
-    kernel = np.ones((5, 5), np.uint8)
-    mask = cv2.erode(mask, kernel)
-
-    # Contours detection
-    if int(cv2.__version__[0]) > 3:
-        # Opencv 4.x.x
-        contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-    else:
-        # Opencv 3.x.x
-        _, contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-
-    for cnt in contours:
-        area = cv2.contourArea(cnt)
-        approx = cv2.approxPolyDP(cnt, 0.02*cv2.arcLength(cnt, True), True)
-        x = approx.ravel()[0]
-        y = approx.ravel()[1]
-
-        if area > 400:
-            cv2.drawContours(frame, [approx], 0, (0, 0, 0), 5)
-
-            if len(approx) == 3:
-                cv2.putText(frame, "Triangle", (x, y), font, 1, (0, 0, 0))
-            elif len(approx) == 4:
-                cv2.putText(frame, "Rectangle", (x, y), font, 1, (0, 0, 0))
-            elif 10 < len(approx) < 20:
-                cv2.putText(frame, "Circle", (x, y), font, 1, (0, 0, 0))
-
-
-    cv2.imshow("Frame", frame)
-    cv2.imshow("Mask", mask)
-
-    key = cv2.waitKey(1)
-    if key == 27:
-        break
-
-cap.release()
-cv2.destroyAllWindows()