Orientation.py

Author: 1223456saif

Orientation.py

@@ -2,54 +2,38 @@
 import argparse
 import cv2
 
-# construct the argument parse and parse the arguments
+
 ap = argparse.ArgumentParser()
 ap.add_argument("-i", "--image", required=True, help="path to input image file")
 args = vars(ap.parse_args())
 
-# load the image from disk
 image = cv2.imread(args["image"])
 
-# convert the image to grayscale and flip the foreground
-# and background to ensure foreground is now "white" and
-# the background is "black"
 gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
 gray = cv2.bitwise_not(gray)
 
-# threshold the image, setting all foreground pixels to
-# 255 and all background pixels to 0
 thresh = cv2.threshold(gray, 0, 255,
                        cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
 
-# grab the (x, y) coordinates of all pixel values that
-# are greater than zero, then use these coordinates to
-# compute a rotated bounding box that contains all
-# coordinates
 coords = np.column_stack(np.where(thresh > 0))
 angle = cv2.minAreaRect(coords)[-1]
 
-# the `cv2.minAreaRect` function returns values in the
+
 # range [-90, 0); as the rectangle rotates clockwise the
 # returned angle trends to 0 -- in this special case we
 # need to add 90 degrees to the angle
 if angle < -45:
     angle = -(90 + angle)
 
-# otherwise, just take the inverse of the angle to make
-# it positive
 else:
     angle = -angle
 
-# rotate the image to deskew it
 (h, w) = image.shape[:2]
 center = (w // 2, h // 2)
 M = cv2.getRotationMatrix2D(center, angle, 1.0)
 rotated = cv2.warpAffine(image, M, (w, h), flags=cv2.INTER_CUBIC, borderMode=cv2.BORDER_REPLICATE)
 
-# draw the correction angle on the image so we can validate it
 cv2.putText(rotated, "Angle: {:.2f} degrees".format(angle),(10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
-
-# show the output image
 print("[INFO] angle: {:.3f}".format(angle))
 cv2.imshow("Input", image)
 cv2.imshow("Rotated", rotated)