modification

face-recognition/face-recognition.py

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+import cv2
+
+# Load the pre-trained Haar Cascade face detector
+face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+
+# Load the image
+image_path = '../assets/me2.jpg'
+img = cv2.imread(image_path)
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+# Detect faces in the image
+faces = face_cascade.detectMultiScale(gray, scaleFactor=2, minNeighbors=5)
+
+# Draw rectangles around the faces
+for (x, y, w, h) in faces:
+    cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
+
+# Display the image with detected faces
+cv2.imshow('Detected Faces', img)
+cv2.waitKey(0)
+cv2.destroyAllWindows()

requirements.txt

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+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+opencv-python = "*"
+numpy = "*"
+screeninfo = "*"
+
+[dev-packages]
+
+[requires]
+python_version = "3.11"

resize-image/get_screen_information.py

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+from screeninfo import get_monitors
+
+def get_screen_size():
+    monitors = get_monitors()
+    if monitors:
+        monitor = monitors[0]
+        width = monitor.width
+        height = monitor.height
+        return width, height
+    else:
+        return None
+
+screen_size = get_screen_size()
+if screen_size:
+    print("Screen Width: ", screen_size[0])
+    print("Screen Height: ", screen_size[1])
+else:
+    print("Screen size not available.")
+
+screen_width = screen_size[0]
+screen_height = screen_size[1]

resize-image/resize-image-final.py

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+# Import OpenCV
+import cv2
+import get_screen_information
+
+screen_height = (get_screen_information.screen_height)
+screen_width = (get_screen_information.screen_width)
+
+# Open the image
+img = cv2.imread('brian.jpg', 1)
+cv2.imshow('image', img)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
+# Get image size
+img.shape
+height, width, channel = img.shape
+
+
+# Resize the image: Downscalling
+img_down = cv2.resize(img, (width//3, height//3))
+cv2.imshow('smaller image', img_down)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
+# Resize the image: Upscalling
+img_up = cv2.resize(img_down, (width, height), interpolation = cv2.INTER_LINEAR)
+cv2.imshow('bigger image', img_up)
+cv2.waitKey(0)
+cv2.destroyAllWindows()

resize-image/resize-image.py

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+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+
+image = cv2.imread(r"../assets/brian.jpg", 1)
+# Loading the image
+
+half = cv2.resize(image, (0, 0), fx = 0.1, fy = 0.1)
+bigger = cv2.resize(image, (600, 600))
+
+stretch_near = cv2.resize(image, (780, 540), 
+			interpolation = cv2.INTER_LINEAR)
+
+
+Titles =["Original", "Half", "Bigger", "Interpolation Nearest"]
+images =[image, half, bigger, stretch_near]
+count = 4
+
+for i in range(count):
+	plt.subplot(2, 2, i + 1)
+	plt.title(Titles[i])
+	plt.imshow(images[i])
+
+plt.show()