use:draw the mask on image ''' import cv2 import numpy as np from PIL import Image import matplotlib.pyplot as plt import pycocotools.mask as mask_util mask_threth = 50 img = cv2.imread('./test_imgs/test_0.jpg') # binary mask coordinates = [[[40, 135], [168,132], [164,330...
method") def init_draw(self): self.mask_artist = ImageMaskDrawer(self.axe, self.img, canmove=False, size=15) self.mask_artist.on_trait_change(self.draw, "drawed") def draw(self): if self.mask_artist is None: self.draw_image(self.img) return mask = self.mask_artist.get_mask_arra...
cv2.imshow("WINDOW NAME",IMG_VAR)Exampleimshow("Dog Image",img) imwrite(): 代码语言:javascript 代码运行次数:0 运行 AI代码解释 cv2.imwrite(FILENAME,IMAGE)filename:Astring representing the file name.The filename must include image format like.jpg,.png,etc.image:It is the image that is to ...
void on_MouseHandle(int event, int x, int y, int flags, void*param); void DrawRectangle(cv::Mat& img, cv::Rect box); Rect g_rectangle; bool g_bDrawingBox = false;//是否进行绘制 RNG g_rng(12345); int main(int argc, char **argv) { //【1】准备参数 Mat srcImage = imread("...
to temp. image orig_img.copyTo(tmp_img); // Draws rectangle rectangle(tmp_img, p1, p2, Scalar(0, 0 ,255)); // Draw temporal image with rect. imshow(main_win, tmp_img); } else if (event == EVENT_LBUTTONUP && p2set) { // Check if left button is released // and selected ...
具体是使用该函数来创建颜色掩码, mask = inRange(img, LowerBlue, UpperBlue) img表示待处理图像,LowerBlue表示低阈值范围,UpperBlue表示高阈值范围。inRange 函数将颜色的值设置为 1,如果颜色存在于给定的颜色范围内,则设置为白色,如果颜色不存在于指定的颜色范围内,则设置为 0。
markers = watershed(image,markers) 执行分水岭算法(找出图像边界)。返回的maskers做了修改,大于1是前景,1是背景,-1表示边界区域。 markers:它是一个与原始图像大小相同的矩阵,int32数据类型,表示哪些是前景,哪些是背景。分水岭算法将标记为0的区域视为未知区域,标记为1是背景,标记大于1是前景。
private void basicDrawOnCanvas() { // 创建Bitmap对象 Bitmap bm = Bitmap.createBitmap(500, 500, Bitmap.Config.ARGB_8888); // 创建画布与画笔风格 Canvas canvas = new Canvas(bm); Paint p = new Paint(); p.setColor(Color.BLUE); p.setStyle(Paint.Style.FILL_AND_STROKE); // 绘制直线...
cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) cnts = imutils.grab_contours(cnts) cnts = contours.sort_contours(cnts)[0] # loop over the contours for (i, c) in enumerate(cnts): # draw the bright spot on the image ...
imread('image\\cat.jpg') temp = image.copy() cv2.namedWindow('Window') cv2.setMouseCallback('Window', drawRectangle) k = 0 # 键击‘q’退出程序,键击‘c’重新绘制矩形 while k != 113: cv2.imshow("Window", image) k = cv2.waitKey(0) if k == 99: image = temp.copy() cv2....