import numpy as np
import cv2
import multiprocessing
import random
# dataset pour train_panneau.py
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

# NOT WORKING ERREUR
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)
    p = Pool(nbr_thread)
    lot_result = p.map(modif_img, lot_original)
    p.close()
    return lot_result