代码：# -*- coding=GBK -*-import cv2 as cvimport numpy as np# 分水岭算法def water_image():print(src.shape)blurred = cv.pyrMeanShiftFiltering(src, 10, 100)# 去除噪点#=========确定前景对象==========# gray\binary imagegra

数值运算代码：结果：

基本图像梯度代码：import cv2import numpy as npmoon = cv2.imread("moon.jpg", 0)row, column = moon.shapemoon_f = np.copy(moon)moon_f = moon_f.astype("float")gradient = np.zeros((row, column))for x in range(row -

HoughLines代码：# -*- coding=GBK -*-import cv2 as cvimport numpy as np# hough变换检测直线与圆 ：https://blog.csdn.net/on2way/article/details/47028969def line_image(image):gray = cv.cvtColor(image, cv.COLOR_BGR2GR

代码：# -*- coding=GBK -*-import cv2 as cvimport numpy as np# 粗略的调节对比度和亮度def contrast_brightness_image(src1, a, g):h, w, ch = src1.shape# 获取shape的数值，height和width、通道src2 = np.zeros([h, w, ch], src1.dtype)

unzip_save.pyimport osos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'# 不显示等级2以下的提示信息import zipfile# 解压local_zip1 = 'E:/Python/pythonProject_1/Sarcasm_Headlines/tmp/archive.zip' # 数据集压缩包路径zip_ref1 = zipfile.Z

unzip_save.pyimport osos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'# 不显示等级2以下的提示信息import zipfile# import random# import tensorflow as tf# from tensorflow.keras.optimizers import RMSprop# from tensorflow.ke

unzip_save.pyimport osos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'# 不显示等级2以下的提示信息import zipfile# import random# import tensorflow as tf# from tensorflow.keras.optimizers import RMSprop# from tensorflow.ke