【深度学习】数据增强-数字号码

import cv2
import numpy as np
from matplotlib import pyplot as plt
from IPython.display import display, Image
import random
import uuid
import copy
front_list = [cv2.FONT_HERSHEY_SIMPLEX, cv2.FONT_HERSHEY_PLAIN, cv2.FONT_HERSHEY_DUPLEX, cv2.FONT_HERSHEY_COMPLEX, cv2.FONT_HERSHEY_TRIPLEX, cv2.FONT_HERSHEY_COMPLEX_SMALL, cv2.FONT_HERSHEY_SCRIPT_SIMPLEX, cv2.FONT_HERSHEY_SCRIPT_COMPLEX, cv2.FONT_ITALIC]
color_list = [(0,0,0),(0,0,255),(0,255,0),(0,255,255),(255,255,0),(255,0,255),(255,255,255)]
front_size_list = [1,2]
front_bond_list = [1,2,3,4]



def create_num(num_str):
    font = random.choice(front_list)
    font_size = random.choice(front_size_list)
    font_bond = random.choice(front_bond_list)
    font_color = random.choice(color_list)

    back_gound_color = copy.deepcopy(font_color)

    while font_color == back_gound_color:
        back_gound_color = random.choice(color_list)

    obj_img_width = 64
    obj_img_height = 64
    center_point_x = int(1/2 * obj_img_width)
    center_point_y = int(1/2 * obj_img_height)

    # Create a blank canvas of size 64x64 with white background
    canvas = np.full((obj_img_width, obj_img_height, 3), back_gound_color, dtype=np.uint8)

    (font_width, font_height), font_bottom = cv2.getTextSize(num_str, font, fontScale=font_size, thickness=font_bond)

    while font_width > obj_img_width or font_height > obj_img_height:
        font_size = random.choice(front_size_list)
        (font_width, font_height), font_bottom = cv2.getTextSize(num_str, font, fontScale=font_size, thickness=font_bond)



    top = int(center_point_y - 1/2 * font_height)
    left = int(center_point_x - 1/2 * font_width)
    right = left + font_width
    x_left_bottom = int(center_point_y - 1/2 * font_width)
    y_bottom = int(center_point_y + 1/2 * font_height)
    print("------=========---",x_left_bottom,y_bottom)
    cv2.putText(canvas,num_str, (x_left_bottom,y_bottom), font, font_size,font_color, font_bond, cv2.LINE_AA)

    mean = random.randint(0,255)
    std = random.randint(0,255)
    mean = 0
    std =  25
    h, w, c = obj_img_height, obj_img_width, 3
    noise = np.random.normal(mean, std, (h, w, c)).astype(np.uint8)
    canvas = cv2.add(canvas, noise)
# Display the canvas using OpenCV
# plt.imshow(cv2.cvtColor(canvas, cv2.COLOR_BGR2RGB))
# plt.rcParams['figure.figsize'] = [8, 8]
# plt.axis('off')
# plt.show()
    return canvas
    # cv2.imwrite('yellow_background.jpg', canvas)

import os
num_list = list(range(0,99))
num_list = num_list + ["00","01","02","03","04","05","06","07","08","09"]
print(num_list)
for num in num_list:
    str_num = str(num)
    
    tgt_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)),"imgs",str_num)
    os.makedirs(tgt_dir,exist_ok=True)
    for _ in range(50):
        img = create_num(str_num)
        cv2.imwrite(tgt_dir+"/0805_" + uuid.uuid1().hex + ".jpg",img)
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效果图：