DONE: Object Edge Detection.

Computer Vision Programs/detect_edge.py

@@ -0,0 +1,39 @@
+"""
+[Vikas Ukani]
+(Edge Detection Object)
+https://github.com/vikas-ukani/
+"""
+
+
+def detect (image_name):    
+    # Import Necessary Packages
+    import sys # system important
+    import cv2 # computer visualization
+    import numpy as np # multi-dimensional array # linear algebra
+
+    # Get arguments from command line.
+    image_name = sys.argv[1] # take an argument from command line
+
+    # Load Image and Convert into Gray
+    image = cv2.imread(image_name, cv2.IMREAD_GRAYSCALE) # read image with gray scal image
+    height, weight = image.shape # Extract from image shape to height and weight
+
+    # Make sobel for better customization.
+    sobel_horizontal = cv2.Sobel(image, cv2.CV_64F, 1, 0, ksize=5)
+    sobel_vertical = cv2.Sobel(image, cv2.CV_64F, 0, 1, ksize=5)
+    laplacian = cv2.Laplacian(image, cv2.CV_64F)
+    canny = cv2.Canny(image, 50, 240) 
+
+    # show all images MODELS here.
+    cv2.imshow("Original", image) # Show in Original Video Form
+    cv2.imshow("Sobel Horizontal", sobel_horizontal) # Sobel orizantal Mode
+    cv2.imshow("Sobel Vertical", sobel_vertical) #  Sobel Vertical Mode
+    cv2.imshow("Laplacian", laplacian) # Show in Laplcian Model
+    cv2.imshow("Canny", canny) # Show in Cannery Mode 
+
+    # Wait for EXIT ...
+    cv2.waitKey() # Any key press to exit from video mode.
+
+
+if __name__ == "__main__":
+    detect("img_path_from_current_dir")