unet_d8g_222f.py 文件源码

def process_scans(scans):  # used for tesing
    scans1=np.zeros((scans.shape[0],1,img_rows,img_cols))
    for i in range(scans.shape[0]):
        img=scans[i,:,:]
        img = 255.0 / np.amax(img) * img
        img =img.astype(np.uint8)
        img =cv2.resize(img, (img_rows, img_cols))
        scans1[i,0,:,:]=img
    return (scans1)