Initial commit

Divers/tutoriel25-2/dataset.py

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+import numpy as np
+import cv2
+from multiprocessing import Pool
+import multiprocessing
+import random
+
+def bruit(image_orig):
+    h, w, c=image_orig.shape
+    n=np.random.randn(h, w, c)*random.randint(5, 30)
+    return np.clip(image_orig+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 modif_img(img):
+    h, w, c=img.shape
+
+    r_color=[np.random.randint(255), np.random.randint(255), np.random.randint(255)]
+    img=np.where(img==[142, 142, 142], r_color, img).astype(np.uint8)
+
+    if np.random.randint(3):
+        k_max=3
+        kernel_blur=np.random.randint(k_max)*2+1
+        img=cv2.GaussianBlur(img, (kernel_blur, kernel_blur), 0)
+
+    M=cv2.getRotationMatrix2D((int(w/2), int(h/2)), random.randint(-10, 10), 1)
+    img=cv2.warpAffine(img, M, (w, h))
+        
+    if np.random.randint(2):
+        a=int(max(w, h)/5)+1
+        pts1=np.float32([[0, 0], [w, 0], [0, h], [w, h]])
+        pts2=np.float32([[0+random.randint(-a, a), 0+random.randint(-a, a)], [w-random.randint(-a, a), 0+random.randint(-a, a)], [0+random.randint(-a, a), h-random.randint(-a, a)], [w-random.randint(-a, a), h-random.randint(-a, a)]])        
+        M=cv2.getPerspectiveTransform(pts1,pts2)
+        img=cv2.warpPerspective(img, M, (w, h))
+        
+    if np.random.randint(2):
+        r=random.randint(0, 5)
+        h2=int(h*0.9)
+        w2=int(w*0.9)
+        if r==0:
+            img=img[0:w2, 0:h2]
+        elif r==1:
+            img=img[w-w2:w, 0:h2]
+        elif r==2:
+            img=img[0:w2, h-h2:h]
+        elif r==3:
+            img=img[w-w2:w, h-h2:h]
+        img=cv2.resize(img, (h, w))
+
+    if np.random.randint(2):
+        r=random.randint(1, int(max(w, h)*0.15))
+        img=img[r:w-r, r:h-r]
+        img=cv2.resize(img, (h, w))
+
+    if not np.random.randint(4):
+        t=np.empty((h, w, c) , dtype=np.float32)
+        for i in range(h):
+            for j in range(w):
+                for k in range(c):
+                    t[i][j][k]=(i/h)
+        M=cv2.getRotationMatrix2D((int(w/2), int(h/2)), np.random.randint(4)*90, 1)
+        t=cv2.warpAffine(t, M, (w, h))
+        img=(cv2.multiply((img/255).astype(np.float32), t)*255).astype(np.uint8)
+
+    img=change_gamma(img, random.uniform(0.6, 1.0), -np.random.randint(50))
+
+    if not np.random.randint(4):
+        p=(15+np.random.randint(10))/100
+        img=(img*p+50*(1-p)).astype(np.uint8)+np.random.randint(100)
+
+    img=bruit(img)
+        
+    return img
+
+def create_lot_img(image, nbr, nbr_thread=None):
+    if nbr_thread is None:
+        nbr_thread=multiprocessing.cpu_count()
+    lot_original=np.repeat([image], nbr, axis=0)
+    with Pool(nbr_thread) as p:
+        lot_result=p.map(modif_img, lot_original)
+        p.close()
+    return lot_result