How to get image-mask?

[MosbehBarhoumi]

Hello @cskyy You can utilize the following code to process all cloth functions in a designated input folder and save the resulting cloth masks of all the images in an output folder:

import cv2 import numpy as np import os

def get_cloth_mask(image_path): image = cv2.imread(image_path)

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

blurred = cv2.GaussianBlur(gray, (5, 5), 0)

_, thresh = cv2.threshold(blurred, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)

contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

mask = np.zeros_like(image)

cv2.drawContours(mask, contours, -1, (255, 255, 255), -1)

return mask

def process_images(input_folder, output_folder): if not os.path.exists(output_folder): os.makedirs(output_folder)

image_files = os.listdir(input_folder)
image_files = [f for f in image_files if f.lower().endswith((".png", ".jpg", ".jpeg"))]

for image_file in image_files:
    input_path = os.path.join(input_folder, image_file)
    output_path = os.path.join(output_folder, image_file)

    cloth_mask = get_cloth_mask(input_path)

    cv2.imwrite(output_path, cloth_mask)

    print(f"Cloth mask saved at: {output_path}")

input_folder = "/path/to/input/folder" output_folder = "/path/to/output/folder" process_images(input_folder, outputfolder)