Added opencv2 examples

Author: jassics

.gitignore

@@ -5,6 +5,11 @@ __pycache__/
 *.py[cod]
 *$py.class
 
+# jpg, pngm jpeg
+*.jpg
+*.png
+*.jpeg
+
 # C extensions
 *.so
 
@@ -117,4 +122,4 @@ venv.bak/
 !requirements.txt
 
 # Ignore mp3
-*.mp3
+*.mp3

real-world-examples/opencv2_examples/capture_cam.py

@@ -0,0 +1,33 @@
+# capture single image from webcam using python
+
+# importing OpenCV library
+# pip3 install opencv-python
+import cv2 as cv
+import time
+
+# initialize the camera
+cam_port = 0
+cam = cv.VideoCapture(cam_port)
+
+# wait for 2 seconds to adjust the camera lights, else picture will be always dark
+time.sleep(2)
+
+# reading the input using the camera
+result, image = cam.read()
+
+# If image will detected without any error, show result
+if result:
+
+    # showing result, it take frame name and image output
+    cv.imshow("My Cam Pic", image)
+
+    # saving image in local storage
+    cv.imwrite("cam_capture.jpg", image)
+
+    # If keyboard interrupt occurs, destroy image window
+    cv.waitKey(0)
+    cv.destroyWindow("My Cam Pic")
+
+# If captured image is corrupted, moving to else part
+else:
+    print("No image detected. Please! try again")

real-world-examples/opencv2_examples/image2cartoon_basic.py

@@ -0,0 +1,42 @@
+# importing libraries
+# pip install opencv-python
+import cv2
+import numpy as np
+
+# reading image
+img = cv2.imread("jassi.jpg")
+
+# Edges
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+gray = cv2.medianBlur(gray, 5)
+edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C,
+                                         cv2.THRESH_BINARY, 9, 5)
+
+# Cartoonization
+color = cv2.bilateralFilter(img, 9, 200, 200)
+cartoon = cv2.bitwise_and(color, color, mask=edges)
+
+#cv2.imshow("Image", img)
+#cv2.imshow("edges", edges)
+cv2.imshow("Cartoon", cartoon)
+
+
+color = cv2.bilateralFilter(img, d=9, sigmaColor=200,sigmaSpace=200)
+cv2.imshow("Color", color)
+
+def color_quantization(img, k):
+# Defining input data for clustering
+  data = np.float32(img).reshape((-1, 3))
+# Defining criteria
+  criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 20, 1.0)
+# Applying cv2.kmeans function
+  ret, label, center = cv2.kmeans(data, k, None, criteria, 10, cv2.KMEANS_RANDOM_CENTERS)
+  center = np.uint8(center)
+  result = center[label.flatten()]
+  result = result.reshape(img.shape)
+  return result
+
+img_1 = color_quantization(img, 9)
+cv2.imshow("Quant", img_1)
+cv2.waitKey(0)
+cv2.destroyAllWindows()

real-world-examples/opencv2_examples/image2cartoon_tk_cv2.py

@@ -0,0 +1,102 @@
+# Importing the required modules
+import tkinter as tk  # graphical user interface toolkit
+from tkinter import *
+import easygui  # to open the filebox
+import cv2  # for image processing
+import matplotlib.pyplot as plt
+
+import os  # to read and save path
+import sys  #
+
+# Making the GUI main window
+top = tk.Tk()
+top.geometry('400x400')
+top.title('Cartoonify Your Image !')
+top.configure(background='blue')
+label = Label(top, background='#CDCDCD', font=('calibri', 20, 'bold'))
+
+""" fileopenbox opens the box to choose file
+and help us store file path as string"""
+
+
+def upload():
+    image_path = easygui.fileopenbox()
+    cartoonify(image_path)
+
+
+# Step 3: How is an image stored?
+def cartoonify(image_path):
+    # read image
+    original_image = cv2.imread(image_path)
+    original_image = cv2.cvtColor(original_image, cv2.COLOR_BGR2RGB)
+    print(original_image)  # this will be stored in form of number
+
+    # to confirm it is image that was chosing
+    if original_image is None:
+        print("Can't find any image. Choose appropriate file")
+        sys.exit()
+    resize_image1 = cv2.resize(original_image, (960, 540))
+    # plt.imshow(resize_image1, cmap='gray')
+
+    # converting an image to grayscale
+    grayscale_image = cv2.cvtColor(original_image, cv2.COLOR_BGR2GRAY)
+    resize_image2 = cv2.resize(grayscale_image, (960, 540))
+    # plt.imshow(resize_image2, cmap="gray")
+
+    # applying median blur to smoothen an image
+    smooth_grayscale_image = cv2.medianBlur(grayscale_image, 5)
+    resize_image3 = cv2.resize(smooth_grayscale_image, (960, 540))
+    #  plt.imshow(resize_image3, cmap='gray')
+
+    # retrieving the edges for cartoon effect
+    # by using thresholding technique
+    get_edge = cv2.adaptiveThreshold(smooth_grayscale_image, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 9)
+    resize_image4 = cv2.resize(get_edge, (960, 540))
+    # plt.imshow(resize_image4, cmap='gray')
+
+    # applying bilateral filter to remove noise
+    # and keep edge sharp as required
+    color_image = cv2.bilateralFilter(original_image, 9, 300, 300)
+    resize_image5 = cv2.resize(color_image, (960, 540))
+    # plt.imshow(resize_image5, cmap="gray")
+
+    # masking edged image with our "BEAUTIFY" image
+    cartoon_image = cv2.bitwise_and(color_image, color_image, mask=get_edge)
+    resize_image6 = cv2.resize(cartoon_image, (960, 540))
+    # plt.imshow(resize_image6, cmap='gray')
+
+    # Plotting the whole transition
+    images = [resize_image1, resize_image2, resize_image3, resize_image4, resize_image5, resize_image6]
+    fig, axes = plt.subplots(3, 2, figsize=(8, 8), subplot_kw={'xticks': [], 'yticks': []},
+                             gridspec_kw=dict(hspace=0.1, wspace=0.1))
+    for i, ax in enumerate(axes.flat):
+        ax.imshow(images[i], cmap='gray')
+
+    # Making a Save button in the GUI main window
+    savel = Button(top, text="Save cartoon image", command=lambda: save(resize_image6, image_path), padx=30, pady=5)
+    savel.configure(background='#364156', foreground='white', font=('calibri', 10, 'bold'))
+    savel.pack(side=TOP, pady=50)
+
+    # save button code
+    plt.show()
+
+
+def save(resize_image6, image_path):
+    # saving an image using imwrite function
+    new_name = "cartoonified_Image"
+    path1 = os.path.dirname(image_path)
+    extension = os.path.splitext(image_path)[1]
+    path = os.path.join(path1, new_name + extension)
+    cv2.imwrite(path, cv2.cvtColor(resize_image6, cv2.COLOR_RGB2BGR))
+    I = "Image saved by name " + new_name + " at " + path
+    tk.messagebox.showinfo(title=None, message=I)
+
+
+# Making the Cartoonify button in the GUI main window
+upload = Button(top, text="Cartoonify an Image", command=upload, padx=10, pady=5)
+upload.configure(background="#374256", foreground="wheat", font=('calibri', 10, 'bold'))
+upload.pack(side=TOP, pady=50)
+
+# Main function to build the GUI window
+top.mainloop()
+{"mode":"full","isActive":false}