1.准备Python环境，可以提取termux里的也可以提取qpython的，都可以，也可以使用我的，链接放在评论区。2.执行shell命令，将Python环境(bin目录以及lib目录)移动到auto.js私有文件夹里shell命令...

import numpy as np import cv2 as cv # 1获取图像 cap = cv.VideoCapture('./image/dog.wmv') # 2获取第一帧图像，并指定目标位置 ret, frame = cap.read() # 2.1目标位置（行，高，列，宽） r...

import numpy as np import cv2 as cv # 1获取视频对象 cap = cv.VideoCapture('./image/nice.mp4') # 2.判断是否读取成功 while cap.isOpened(): # 3.获取每一帧图像 ret, frame = cap.read() ...

import cv2 as cv import matplotlib.pyplot as plt # 1读取图像 img = cv.imread('./image/tv.jpg') gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) # 2sift关键点检测 # 2.1实例化sit对象 sift ...

import cv2 as cv import matplotlib.pyplot as plt # 1读取图像 img = cv.imread('./image/tv.jpg') gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) # 2角点检测 corners = cv.goodFeaturesToTra...

import cv2 as cv import matplotlib.pyplot as plt import numpy as np # 1读取图像，并转换成灰度图像 img = cv.imread('./image/chess.jpg') gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) # ...

import cv2 as cv import matplotlib.pyplot as plt import numpy as np # 1.加载图片，转为二值图 img = cv.imread('./image/calendar.jpg') gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) edge...

import cv2 as cv import matplotlib.pyplot as plt # 1图像和模板读取 img = cv.imread('./image/wulin.jpg') template = cv.imread('./image/man.jpg') h, w, I = template.shape # 2模板匹配...