OpenCV中读取中文路径、窗口命名中文、图片加中文乱码问题汇总

#1.解决opencv读取中文路径报错的问题file_path1 = "D:\Project\Monet_traffic\图片\哈儿.jpg"image = cv2.imread(filename=file_path1)print(Image.shape[0]) # 报错cv2.imshow("1",image) #报错

file_path1 = "D:\Project\Monet_traffic\图片\哈儿.jpg"image = cv2.imread(filename=file_path1)# # print(Image.shape[0]) # 报错# cv2.imshow("1",image) #报错
#读取图像，解决imread不能读取中文路径路径的问题def cv_imread(file_path):    #imdedcode读取的是RGB图像    cv_img = cv2.imdecode(np.fromfile(file_path,dtype=np.uint8),-1)    return cv_img
image = cv_imread(file_path1)print("图像的高度:",image.shape[0],"图像的宽度:",image.shape[1])cv2.imshow("image", image)

# #2.输出中文文件，解决输出中文文件乱码的问题# # image1为图片对象，filepath为输出图片路径# file_path2 = "D:\Project\Monet_traffic\图片\苏菲.png"# cv2.imwrite(filename=file_path2,img=image) #执行成功,但是图片未保存成功到本地# cv2.imencode('.png', image)[1].tofile(file_path2) #执行保存成功

cv2.namedWindow(winname="image", flags=cv2.WINDOW_AUTOSIZE)  # 或者数字0# cv2.resizeWindow("window", 480, 320) #设置图片显示窗口大小
# 读入图片image_path = r"D:\Project\Monet_traffic\data\photo\3.jpg"image = cv2.imread(image_path)print(image.shape)  # 图片大小print(type(image))
# 改变图片大小,fx代表对图片的长进行缩放尺寸系数# image = cv2.resize(image,None,fx=0.5,fy=0.5)
# 显示图片:窗口名,显示图片# cv2.imshow(‘窗口标题’,image)，如果前面没有cv2.namedWindow，自动先执行一个cv2.namedWindow()cv2.imshow(winname='image', mat=image)

#读入图片image = cv2.imread(r"D:\Project\Monet_traffic\data\photo\3.jpg")#编码格式转换def zh_ch(string):    return string.encode("gbk").decode('UTF-8', errors='ignore')
cv2.namedWindow(winname=zh_ch('图片'))cv2.imshow(zh_ch('图片'), image)cv2.waitKey(0)

cv2.namedWindow(winname="image", flags=cv2.WINDOW_AUTOSIZE)  # 或者数字0# cv2.resizeWindow("window", 480, 320) #设置图片显示窗口大小
# 读入图片image_path = r"D:\Project\Monet_traffic\data\photo\3.jpg"image = cv2.imread(image_path)print(image.shape)  # 图片大小print(type(image))
# 改变图片大小,fx代表对图片的长进行缩放尺寸系数# image = cv2.resize(image,None,fx=0.5,fy=0.5)
# 显示图片:窗口名,显示图片# cv2.imshow(‘窗口标题’,image)，如果前面没有cv2.namedWindow，自动先执行一个cv2.namedWindow()cv2.imshow(winname='image', mat=image)# 图片上画框cv2.rectangle(img=image, pt1=(285, 40), pt2=(350, 120), color=(0, 255, 0), thickness=2)
# 图片上添加文字cv2.putText(img=image,text="哈儿", org=(275 , 60), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale=2.5, color=(0, 0, 255), thickness =2)cv2.imshow(winname='image', mat=image

cv2.namedWindow(winname="image", flags=cv2.WINDOW_AUTOSIZE)  # 或者数字0# cv2.resizeWindow("window", 480, 320) #设置图片显示窗口大小
# 读入图片image_path = r"D:\Project\Monet_traffic\data\photo\3.jpg"image = cv2.imread(image_path)print(image.shape)  # 图片大小print(type(image))
# 改变图片大小,fx代表对图片的长进行缩放尺寸系数# image = cv2.resize(image,None,fx=0.5,fy=0.5)
# 显示图片:窗口名,显示图片# cv2.imshow(‘窗口标题’,image)，如果前面没有cv2.namedWindow，自动先执行一个cv2.namedWindow()cv2.imshow(winname='image', mat=image)# 图片上画框cv2.rectangle(img=image, pt1=(285, 40), pt2=(350, 120), color=(0, 255, 0), thickness=2)
# 添加中文# 转换为PIL的image图片格式,使用PIL绘制文字,再转换为OpenCV的图片格式def image_add_text(img1, text, left, top, text_color, text_size):    # 判断图片是否为ndarray格式，转为成PIL的格式的RGB图片    if isinstance(img1, np.ndarray):        image = Image.fromarray(cv2.cvtColor(img1, cv2.COLOR_BGR2RGB))        print(type(image))    # 创建一个可以在给定图像上绘图的对象    draw = ImageDraw.Draw(image)    # 参数依次为 字体、字体大小、编码    font_style = ImageFont.truetype("font/simsun.ttc", text_size, encoding='utf-8')    # 参数依次为位置、文本、颜色、字体    draw.text((left, top), text, text_color, font=font_style)
    return cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR)

image = image_add_text(image, "哈儿", 225, 50, (255, 0, 0), 40)
cv2.imshow(winname='image', mat=image)

# 转换为PIL的image图片格式,使用PIL绘制文字,再转换为OpenCV的图片格式def image_add_text(img1, text, left, top, text_color, text_size):    # 判断图片是否为ndarray格式，转为成PIL的格式的RGB图片    if isinstance(img1, np.ndarray):        image = Image.fromarray(cv2.cvtColor(img1, cv2.COLOR_BGR2RGB))        print(type(image))    # 创建一个可以在给定图像上绘图的对象    draw = ImageDraw.Draw(image)    # 参数依次为 字体、字体大小、编码    font_style = ImageFont.truetype("font/simsun.ttc", text_size, encoding='utf-8')    # 参数依次为位置、文本、颜色、字体    draw.text((left, top), text, text_color, font=font_style)
    return cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR)
video_path = r'D:\Project\Monet_traffic\data\video\test.mp4'capture = cv2.VideoCapture(video_path)# 判断VideoCaputre对象是否成功打开if capture.isOpened():    print('已经打开了视频文件')    while (True):        fps = capture.get(cv2.CAP_PROP_FPS)  # 返回视频的fps--帧率        width = capture.get(cv2.CAP_PROP_FRAME_WIDTH)  # 返回视频的宽        height = capture.get(cv2.CAP_PROP_FRAME_HEIGHT)  # 返回视频的高        print('fps:', fps, 'width:', width, 'height:', height)        # 检测图片的起始时间        t1 = time.time()        # 读取某一帧        ret, frame = capture.read()  # 如果正确读取帧，ret为True,否则ret为false        if not ret:            print("Can't receive frame (stream end?). Exiting ...")        else:            frame = image_add_text(frame, "哈儿", 225, 50, (255, 0, 0), 40)            # 检测图片的结束时间            t2 = time.time()            fps = (fps + (1. / (t2 - t1))) / 2            cv2.putText(img=frame, text=str(fps), org=(275, 60), fontFace=cv2.FONT_HERSHEY_PLAIN,fontScale=1.5, color=(0, 0, 255),thickness=2)            cv2.imshow("frame", frame)
        if cv2.waitKey(1) & 0xff == ord('q'):  # waitKey(0):                 break    # 释放对象    capture.release()    cv2.destroyAllWindows()else:    print('视频文件打开失败')