快捷導(dǎo)航

Python中圖像通用操作的實(shí)現(xiàn)代碼

更新時(shí)間：2023年07月03日 11:40:14 作者：fengbingchun

這篇文章主要為大家詳細(xì)介紹了Python中圖像通用操作的實(shí)現(xiàn)，例如：圖像旋轉(zhuǎn)、圖像縮放等，文中的示例代碼講解詳細(xì)，需要的可以參考一下

平時(shí)經(jīng)常會(huì)對(duì)一個(gè)目錄下的圖像做統(tǒng)一處理，如縮放、旋轉(zhuǎn)等等，之前使用C++處理，有時(shí)不是很方便。發(fā)現(xiàn)使用Python比較簡單，代碼量又很少，在Anacanda下執(zhí)行起來也比較方便。因此，打算在后面遇到圖像的常規(guī)處理時(shí)都將其實(shí)現(xiàn)放入到同一個(gè)py文件中，用時(shí)可隨時(shí)執(zhí)行。

所有實(shí)現(xiàn)存放在OpenCV_Test/demo/Python的image_generic_operations.py文件中，目前實(shí)現(xiàn)的僅有：圖像旋轉(zhuǎn)(僅限90,180,270度)、圖像縮放，后面會(huì)逐漸增加，實(shí)現(xiàn)代碼如下：

import os
import sys
import cv2
from inspect import currentframe, getframeinfo
import argparse
 
def get_image_list(path, image_suffix):
    image_list = []
    for x in os.listdir(path):
        if x.endswith(image_suffix):
            image_list.append(path+"/"+x)
 
    return image_list
 
def get_image_name(image_name):
    pos = image_name.rfind("/")
    image_name = image_name[pos+1:]
 
    return image_name
 
def image_rotate_clockwise(image_list, degrees, result_path):
    print("image rotation ...")
    os.makedirs(result_path, exist_ok=True)
 
    if degrees == 90:
        rotate_code = cv2.ROTATE_90_CLOCKWISE
    elif degrees == 180:
        rotate_code = cv2.ROTATE_180
    elif degrees == 270:
        rotate_code = cv2.ROTATE_90_COUNTERCLOCKWISE
    else:
        raise Exception("Unsupported rotat degrees: {}, it only supports: clockwise 90, 180, 270; Error Line: {}".format(degrees, getframeinfo(currentframe()).lineno))
 
    for name in image_list:
        print(f"\t{name}")
        image_name = get_image_name(name)
        #print(f"image name:{image_name}"); sys.exit(1)
 
        mat = cv2.imread(name)
        mat = cv2.rotate(mat, rotateCode=rotate_code)
        cv2.imwrite(result_path+"/"+image_name, mat)
 
def image_resize(image_list, dst_width, dst_height, result_path):
    print("image resize ...")
    os.makedirs(result_path, exist_ok=True)
 
    mat = cv2.imread(image_list[0])
    h, w, _ = mat.shape
    if h > dst_width and w > dst_height:
        interpolation = cv2.INTER_AREA
    else:
        interpolation = cv2.INTER_CUBIC
 
    for name in image_list:
        print(f"\t{name}")
        image_name = get_image_name(name)
        #print(f"image name:{image_name}"); sys.exit(1)
 
        mat = cv2.imread(name)
        mat = cv2.resize(mat, (dst_width, dst_height), interpolation=interpolation)
        cv2.imwrite(result_path+"/"+image_name, mat)
 
def parse_args():
    parser = argparse.ArgumentParser(description="image generic operations", add_help=True)
 
    parser.add_argument("--image_src_path", required=True, type=str, help="the path of the image to be operated, for example: ../../test_images")
    parser.add_argument("--operation", required=True, type=str, choices=["rotate", "resize"], help="specifies the operation to take on the image")
    parser.add_argument("--image_dst_path", required=True, type=str, help="the path where the resulting image is saved, for example: ../../test_images/result")
 
    parser.add_argument("--degrees", default=90, type=int, choices=[90, 180, 270], help="the degrees by which the image is rotated clockwise")
 
    parser.add_argument("--width", default=256, type=int, help="the width of the image after scaling")
    parser.add_argument("--height", default=256, type=int, help="the height of the image after scaling")
 
    parser.add_argument("--image_suffix", default=".png", type=str, help="the suffix of the processed image")
    
    args = parser.parse_args()
    return args
 
if __name__ == "__main__":
    args = parse_args()
 
    image_list = get_image_list(args.image_src_path, args.image_suffix)
 
    if args.operation == "rotate":
        image_rotate_clockwise(image_list, args.degrees, args.image_dst_path)
 
    if args.operation == "resize":
        image_resize(image_list, args.width, args.height, args.image_dst_path)
 
    print("test finish")

使用如下所示：