CG_图片轮廓mask提取-matlab & python

 

<script src="https://gist.github.com/novav/63a27bb4bb068be659f71dc9568aef84.js"></script>

 

% Windows
function convert_data()
    source_root_dir = 'E:/data/';
    %cname = '000003_1.jpg';
    target_root_dir = 'E:/data/';
    fine_height = 256; 
    fine_width = 192;
    mode = 'train';
    [im_names, cloth_names] = textread(['E:\data\train_pairs_ansi.txt'],'%s %s');
    N = length(im_names);
	for i = 1:N;
        imname = im_names{i} ;
		cname = cloth_names{i};
        fprintf('%d/%d: %s %s\n', i, N, imname, cname);
        convert([source_root_dir, mode], [target_root_dir, mode], cname)
    end
end    
    
function convert(source_root_dir, target_root_dir, cname)
    im_c = imread([source_root_dir '/' 'cloth-parse-seg/' cname]);
    % save cloth mask
    mask = double((im_c(:,:,1) <= 250) & (im_c(:,:,2) <= 250) & (im_c(:,:,3) <= 250));
    mask = imfill(mask);
    mask = medfilt2(mask);
    imwrite(mask, [target_root_dir '/cloth-parse-seg-mask/' cname]);
end

　　

python

import cv2
import os
import numpy as np



def convert(f, isShow=False):
    im_in = cv2.imread(f, cv2.IMREAD_GRAYSCALE)

    # th, im_th = cv2.threshold(im_in, 0, 255, cv2.THRESH_BINARY)
    th, im_th = cv2.threshold(im_in, 254, 255, cv2.THRESH_BINARY_INV) # 颜色大于240的位置，标注255
    # th, im_th = cv2.threshold(im_in, 200, 255, cv2.THRESH_OTSU)
    # th, im_th = cv2.threshold(im_in, 200, 255, cv2.THRESH_TRIANGLE)
    # th, im_th = cv2.threshold(im_in, 0, 254, cv2.THRESH_TRUNC)
    # th, im_th = cv2.threshold(im_in, 200, 255, cv2.THRESH_MASK)
    # th, im_th = cv2.threshold(im_in, 200, 255, cv2.THRESH_TOZERO)
    # th, im_th = cv2.threshold(im_in, 200, 255, cv2.THRESH_TOZERO_INV)

    im_floodfill = im_th.copy()

    h, w = im_th.shape[:2]
    mask = np.zeros((h + 2, w + 2), np.uint8)

    cv2.floodFill(im_floodfill, mask, (0, 0), 255)

    im_floodfill_inv = cv2.bitwise_not(im_floodfill)

    im_out = im_th | im_floodfill_inv

    # 中值滤波
    im_out2 = cv2.medianBlur(im_out, 3)

    print('save ---', os.path.basename(f))
    cv2.imwrite(os.path.basename(f), im_out2)
    # print(im_out2.shape)
    # print(im_th.shape)
    dest = str(os.path.basename(f)).replace('.png', '_im_th.png')
    print(dest)
    cv2.imwrite(dest, im_th)

    if isShow:
        cv2.imshow('Thresholded image', im_th)
        cv2.imshow('Floodfilled iamge', im_floodfill)
        cv2.imshow('Inverted FloodFilled Image', im_floodfill_inv)
        cv2.imshow('Forground', im_out)
        cv2.imshow('MedianBlur', im_out2)
        cv2.imshow('Image', im_in)

convert('/home/simon/Pictures/gold.jpg', False)

# for i, f in enumerate(os.listdir(in_dir)):
#     if not f.endswith('.jpg'):
#         continue
#     print(i, f)
#     convert(os.path.join(in_dir, f))
#     if i == 100 :
#         break

k = cv2.waitKey(0)
if k == 27:  # 键盘上Esc键的键值
    cv2.destroyAllWindows()

 

  

 

 

 

 

 

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