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cours-ai-tutorials/Tensorflow/concours_drive_2/traitement_images.py

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2026-03-31 13:28:59 +02:00
import cv2
import numpy as np
import random
def rotateImage(image, angle):
image_center=tuple(np.array(image.shape[1::-1])/2)
rot_mat=cv2.getRotationMatrix2D(image_center, angle, 1.0)
result=cv2.warpAffine(image, rot_mat, image.shape[1::-1], flags=cv2.INTER_LINEAR)
return result
def bruit(image):
h, w, c=image.shape
n=np.random.randn(h, w, c)*random.randint(5, 30)
return np.clip(image+n, 0, 255).astype(np.uint8)
def change_gamma(image, alpha=1.0, beta=0.0):
return np.clip(alpha*image+beta, 0, 255).astype(np.uint8)
def color(image, alpha=20):
n=[random.randint(-alpha, alpha), random.randint(-alpha, alpha),random.randint(-alpha, alpha)]
return np.clip(image+n, 0, 255).astype(np.uint8)
def random_change(image):
if np.random.randint(2):
img=change_gamma(image, random.uniform(0.8, 1.2), np.random.randint(100)-50)
if np.random.randint(2):
img=bruit(image)
if np.random.randint(2):
img=color(image)
return image