object detection - template matching

Author: invigorzz313

Object detection in Image/ReadMe.md

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+# Object detection - Template Matching
+This python script will allow us to identify objects in an image.  
+
+## Setup Instructions
+### Install python3
+sudo apt-get install python3
+### Install pip (package installer for python)
+sudo apt-get install python3-pip
+### Install Numpy library with pip
+pip3 install numpy
+### Install OpenCV library with pip
+pip3 install opencv-python
+### Install tkinter library
+sudo apt-get install python3-tk
+
+## Details/Output
+User is prompted to select two images -   
+1. the image in which we wish to detect objects  
+2. the template/image of object which is to be identified in the original image.  
+(**Note** The size of the image is larger than that of template)  
+
+The output image is written/stored in the current folder.
+
+## Author
+Github: invigorzz313

Object detection in Image/Sample_Image.png

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+import cv2
+import numpy as np
+import tkinter as tk
+from tkinter.filedialog import *
+
+
+window = tk.Tk()
+window.title("Object finding")
+window.geometry('400x100')
+label = tk.Label(window, text="Choose an image first and then the object to be found in it").grid(row=0, column=0)
+label = tk.Label(window, text="Output is stored in this folder").grid(row=1, column=0)
+
+photo = askopenfilename()
+img = cv2.imread(photo)
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+temp = askopenfilename()
+template = cv2.imread(temp, cv2.IMREAD_GRAYSCALE)
+w,h = template.shape[::-1]
+
+result = cv2.matchTemplate(gray, template, cv2.TM_CCOEFF_NORMED)
+threshold = 0.8
+loc = np.where(result>=threshold)
+for pt in zip(*loc[::-1]):
+    cv2.rectangle(img,pt,(pt[0]+w, pt[1]+h), (0,0,255), 1)
+
+cv2.imshow("output", img)
+cv2.imwrite('output.png', img)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+window.mainloop()