luolinll1212的专栏

import osimport tensorflow as tfimport numpy as npimport cv2class MyDataset: def __init__(self,path): self.path = path self.filename = [] # 得到路径下所有MP4的文件名 ...

代码

代码

代码如下

SURF算法

SIFT算法

角点检测

Canny算法

# mark_x1 = 90, mark_y1 = 23 # 左上# mark_x2 = 837, mark_y2 = 31 # 右上# mark_x3 = 46, mark_y3 = 491 # 左下# mark_x4 = 858, mark_y4 = 499 # 右下 img_path = r"C:\Users\RoseC\Desktop\img\ba...

# -*- coding: utf-8 -*- import numpy as npimport cv2 as cvimport matplotlib.pyplot as plt# 判断黑白图片或彩色图片def compare_color_or_gray(image_path): image = cv.imread(image_path) b_hist = cv....

PIL 图片操作读取图片img = Image.open(“a.jpg”)显示图片im.show() # im是Image对象，im是numpy类型，通过Image.fromarray(nparr, mode='RGB')函数转换为Image对象图片的size(width, height) = img.size图片的模式mode = img.mode裁剪...

# -*- coding: utf-8 -*- import cv2 as cvimport numpy as npdef cv_filter2d(img_path): src = cv.imread(img_path) kernel = np.array([[0, -1, 0], [-1, 5, -1], ...

import numpy as npimport cv2def cv_norm_proc(img): # cv_norm_proc函数将图片归一化 [-1,1] img_rgb = (img / 255. - 0.5) * 2 return img_rgbdef cv_inv_proc(img): # cv_inv_proc函数将读取图片时归一化的图片还原成图像 ...