Convert Black Lines to Red:

I’m able to successfully convert all black lines in the images to red lines using OpenCV.
Text Detection and Interference:

I’m using a library to detect and process Chinese text, but this process interferes with the previously converted red lines.
Challenges:

The interference occurs because the text detection library changes the color of the red lines back to black.
Desired Outcome:

I’m looking for a solution that allows me to maintain the reenter image description hered color of the lines while also accurately detecting and processing the Chinese text.
Current Code

python
复制代码
{import cv2
import numpy as np
import os
from glob import glob
import easyocr

def process_image(image_path, output_path):
image = cv2.imread(image_path)
if image is None:
print(f"Failed to load image: {image_path}")
return

    # Convert black lines to red
    red_lower = np.array([0, 0, 0], dtype=np.uint8)
    red_upper = np.array([60, 60, 255], dtype=np.uint8)
    mask = cv2.inRange(image, red_lower, red_upper)
    image[mask > 0] = [0, 0, 255]  # Red lines
    
    # Text detection and convert to black
    reader = easyocr.Reader(['ch_sim'], gpu=False)
    result = reader.readtext(image_path)
    
    for bbox, text, prob in result:
        if prob > 0.4:  # Confidence threshold
            xmin, ymin = bbox[0][0], bbox[0][1]
            xmax, ymax = bbox[2][0], bbox[2][1]
            image[ymin:ymax, xmin:xmax] = [0, 0, 0]  # Black text
    
    cv2.imwrite(output_path, image)
    print(f"Processed and saved image: {output_path}")

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

    image_paths = glob(os.path.join(input_folder, "*.png"))
    for image_path in image_paths:
        output_path = os.path.join(output_folder, os.path.basename(image_path))
        process_image(image_path, output_path)

if __name__ == "__main__":
input_folder = r"C:\Users\chese\Desktop\aa"  # Input image folder
output_folder = r"C:\Users\chese\Desktop\cc"  # Output image folder
`your text`
    batch_process_images(input_folder, output_folder)}