Notions d'Images (pixels, niveau de gris, couleurs ) et Vidéos avec démo Python скачать в хорошем качестве

Notions d'Images (pixels, niveau de gris, couleurs ) et Vidéos avec démo Python

Suite :    • Image  Espaces couleurs: RGB-HSV-YCrCB, Vi...      • Image Histogrammes - Histogrammes cumulés ...      • Image Filtrage : Lissage  (Moyen - Gaussie...      • Image Segmentation: Seuillage, Quantificat...   Les programmes sont ici https://perso.usthb.dz/~akourgli/Trai... -*- coding: utf-8 -*- '''OpenCV is a popular open-source package that covers a wide range of image processing and computer vision capabilities and methods. It supports multiple programming languages including Python, C++, and Java To install : pip install opencv-python''' #from PIL import Image import cv2 #import numpy as np import matplotlib.pyplot as plt Load the image A = cv2.imread('fge.jpeg') #A = cv2.imread('USTHB.BMP') show image plt.close('all'); plt.figure(1); plt.subplot(231) ; plt.imshow(A); plt.title('BGR') # Convert BGR image to RGB A_rgb = cv2.cvtColor(A, cv2.COLOR_BGR2RGB) plt.subplot(232); plt.title('RGB'); plt.imshow(A_rgb) # Convert BGR image to RGB A_gray = cv2.cvtColor(A, cv2.COLOR_BGR2GRAY) #AA_gray = 0.299*A[:,:,2]+0.587*A[:,:,1]+0.114*A[:,:,0] plt.subplot(233); plt.title('Gray Levels'); plt.imshow(A_gray,cmap='gray') #save image cv2.imwrite('fge_gray.jpeg', A_gray) # show 3 RGB bands plt.subplot(234) plt.imshow(A_rgb[:,:,0],cmap='gray'); plt.title('Red') plt.subplot(235) plt.imshow(A_rgb[:,:,1],cmap='gray'); plt.title('Green') plt.subplot(236) plt.imshow(A_rgb[:,:,2],cmap='gray'); plt.title('Blue') # Hue, Saturation, Lightness : Teinte, saturation, luminosité (ou valeur) # Hue : degree on the color wheel from 0 to 360. 0 (or 360) is red, 120 is green, 240 is blue. # Saturation : intensity of a color. It is a percentage value from 0% to 100% (100% is full color, no shades of gray, 50% is 50% gray, but you can still see the color; 0% is completely gray; you can no longer see the color. # Lightness/Value : how much light you want to give the color, where 0% means no light (dark), 50% means 50% light (neither dark nor light), and 100% means full light. A_HSV = cv2.cvtColor(A, cv2.COLOR_BGR2HSV) plt.figure(2) plt.subplot(231); plt.imshow(A_rgb);plt.title('RGB'); plt.subplot(232); plt.imshow(A_HSV); plt.title('HSV'); plt.subplot(233); plt.imshow(A_gray,cmap='gray'); plt.title('Gray Levels'); plt.subplot(234); plt.imshow(A_HSV[:,:,0],cmap='hsv'); plt.title('H'); plt.subplot(235); plt.imshow(A_HSV[:,:,1],cmap='gray'); plt.title('S'); plt.subplot(236); plt.imshow(A_HSV[:,:,2],cmap='gray'); plt.title('V'); BB=(A_HSV[:,:,0]) # Y : Luminance or the Luma. Y = 0.3 R + 0.6 V + 0.1 B # Cr : R - Y difference between the R color channel of RGB color space and the luminance component. # Cb : B - Y difference between the B color channel of RGB color space and the luminance component. A_YCrCb = cv2.cvtColor(A, cv2.COLOR_BGR2YCrCb) plt.figure(3) plt.subplot(231); plt.imshow(A_rgb);plt.title('RGB'); plt.subplot(232); plt.imshow(A_YCrCb); plt.title('HSV'); plt.subplot(233); plt.imshow(A_gray,cmap='gray'); plt.title('Gray Levels'); plt.subplot(234); plt.imshow(A_YCrCb[:,:,0],cmap='gray'); plt.title('Y'); plt.subplot(235); plt.imshow(A_YCrCb[:,:,1],cmap='Reds'); plt.title('Cr'); plt.subplot(236); plt.imshow(A_YCrCb[:,:,2],cmap='Blues'); plt.title('Cb'); import time B = cv2.VideoCapture('usthb.mp4') fps = B.get(cv2.CAP_PROP_FPS) print('frames per second =',fps) count = 0 while (True): ret, frame = B.read(); #read frames time.sleep(1/15) #pause #cv2.imwrite("USTHB_frame_{}.png".format(count), frame) cv2.imshow('USTHB',frame) #show frame count +=1 if(cv2.waitKey(1) & 0xFF == ord('q')): break #quit if 'q' # 0xFF = 11111111 #quit and close all opened windows B.release() cv2.destroyAllWindows()