Nerve.py 文件源码

def find_best_mask():
    #adjust file path for raw data directory
    files = glob.glob(os.path.join("/Users/matthewzhou/Desktop/Nerve/P5_Submission_Folder/", "raw", "trainsample", "*_mask.tif"))
    overall_mask = cv2.imread(files[0], cv2.IMREAD_GRAYSCALE)
    overall_mask.fill(0)
    overall_mask = overall_mask.astype(np.float32)

    for fl in files:
        mask = cv2.imread(fl, cv2.IMREAD_GRAYSCALE)
        overall_mask += mask
    overall_mask /= 255
    max_value = overall_mask.max()
    koeff = 0.5
    #if the overall_mask pixel value is 
    overall_mask[overall_mask < koeff * max_value] = 0
    overall_mask[overall_mask >= koeff * max_value] = 255
    overall_mask = overall_mask.astype(np.uint8)
    return overall_mask