2、使用cv2显示Image打开的图片 def cv2_show_Image_image(image): image0 = cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR) # 将Image格式的图片转成np进而转换成cv2格式 cv2.namedWindow('image', 0) # 命名一个窗口 cv2.resizeWindow('image', 600, 500) # 将窗口大小进行调整,这两部主要是为...
importcv2importurllib.request# 定义图片的URLurl='# 从URL中读取图片数据resp=urllib.request.urlopen(url)image=np.asarray(bytearray(resp.read()),dtype="uint8")image=cv2.imdecode(image,cv2.IMREAD_COLOR)# 显示图片cv2.imshow('image',image)cv2.waitKey(0)cv2.destroyAllWindows() 1. 2. 3. 4. ...
importcv2importimageio defreadImg(im_fn):im=cv2.imread(im_fn)ifim is None:print('{} cv2.imread failed'.format(im_fn))tmp=imageio.mimread(im_fn)iftmp is not None:imt=np.array(tmp)imt=imt[0]im=imt[:,:,0:3]returnim 代码语言:javascript 代码运行次数:0 运行 AI代码解释 help(image...
url ='https://www.baidu.com/img/superlogo_c4d7df0a003d3db9b65e9ef0fe6da1ec.png?where=super'resp = request.urlopen(url) image = np.asarray(bytearray(resp.read()), dtype="uint8") image = cv2.imdecode(image, cv2.IMREAD_COLOR) cv2.imshow('url_image_show', image)ifcv2.waitKey(...
numpy有numpy.asarray()函数 值得注意的是cv2用的是BGR,PIL用的是RGB #-*- coding=utf-8 -*-importosimportcv2fromPILimportImage'''opencv中图片格式为BGR pil中为RGB,需要转换一下'''importnumpy as npdefnumpy_to_cv(): image= np.zeros((300, 300, 1), dtype=np.uint8) ...
img:要保存的 OpenCV 图像,nparray 多维数组 paras:不同编码格式的参数,可选项 将彩色图片转成灰度图片保存 源码如下: import cv2 image1=cv2.imread(r"D:/cv2Demo/lotus2.png",0) cv2.imwrite(r"D:/cv2Demo/lotus2As.png",image1) 图像缩放
import numpy as np import matplotlib.pyplot as plt bgr = cv2.imread('./images/DL.jpg') # bgr # 对比灰度图、BGR和HSV下的图像 gray = cv2.cvtColor(bgr, cv2.COLOR_BGR2GRAY) hsv = cv2.cvtColor(bgr, cv2.COLOR_BGR2HSV) cv2.namedWindow('Gray Image', cv2.WINDOW_AUTOSIZE) ...
serialized_graph = fid.read() od_graph_def.ParseFromString(serialized_graph) tf.import_graph_def(od_graph_def, name='') category_index = label_map_util.create_category_index_from_labelmap(PATH_TO_LABELS, use_display_name=True) def load_image_into_numpy_array(image): ...
这部分只允许的函数是: np.array()、np.matrix()、np.zeros()、np.ones()、cv2.imread()、cv2....
If the image has the .gnu_debuglink section, the link will be retrieved from the section and the -l option is not required. The debug information file will be loaded from the same directory where the image file is located. If there is no file there, it will be loaded from .debug ...