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用于对象识别、创建全景图、重建图像

#pip install opencv-python==4.4.0.42 opencv-contrib-python==4.4.0.42import cv2import numpy as npfrom matplotlib import pyplot as pltimport matplotlib.image as mpimgimport matplotlib as mplfrom PIL import Imagempl.rcParams['figure.dpi'] = 200#加..

import cv2from matplotlib import pyplot as pltimport matplotlib.image as mpimgimport matplotlib as mpl#mpl.rcParams['figure.dpi'] = 300import pywtimport pywt.dataimport numpy as npfrom math import sqrtfrom PIL import Image, ImageChops, ImageOpsi.

#opencv 空间域,频域滤波的简单应用import numpy as npimport cv2from matplotlib import pyplot as pltimport matplotlib as mpl#2img = cv2.imread('img/giant-kingfisher-5623347_1280.jpeg')img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)#快速傅立叶变换f = np.fft.fft2(img)#执行.

import cv2import matplotlib.pyplot as pltimport numpy as npimg = cv2.imread('img/bridge-3729954_1280.jpeg')#绘制黑白图像的直方图。gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)#plt.imshow(gray_img, cmap='gray')gray_hist = plt.hist(gray_img.ravel(), bins .

目录问题数据集LenaMNISTCIFARImageNetPASCAL VOCCaltech Caltech101 and Caltech256MS COCO AllCityscapesLabeled Faces in the Wild医学问题• 人脸检测：查找图片中的所有人脸。• 人脸识别：确定人脸对应的人。• 面部识别：确定给定的面部是否对应于特定的人。• 姿势识别：确定给定人体姿势对应的预定集合中的哪个姿势。• 通过颜色或纹理识别

下载Imageai和依赖!pip install --upgrade pip!pip install opencv-python!pip install https://github.com/OlafenwaMoses/ImageAI/releases/download/2.0.2/imageai-2.0.2-py3-none-any.whl!pip install keras==2.2.4!pip install 'h5py<3.0.0'下载网络参数!wget https:/

目录1.人类视觉感知的基础知识1.1概述1.2 眼睛构造和工作机制2.颜色2.1频谱2.2光反射2.3颜色感知2.4 原色和次要颜色3 图像的数字形式3.1计算机如何看见图像3.2位图的参数3.3色深3.4 明度，色相，饱和度3.5 1931 CIE-XYZ颜色系统3.6 CIE1931色度图3.7色域4.颜色模型1.人类视觉感知的基础知识1.1概述计算机视觉系统在很多时候根据人类视觉感知系统...

import cv2#cv版本print('OpenCV version:', cv2.__version__)import matplotlib.pyplot as pltpath = 'img/'file_name = 'sven-hornburg-TAVB-2C6uyE-unsplash.jpeg'#加载img = cv2.imread(path + file_name)print(img.shape) # h w c ，高，宽，通道数。坐标原点在左上角#位于图像矩阵表示的第 1.