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Beskärning av konkav polygon från bild med Opencv-python - Siwib

# this will provide us angle to straighten image box_center, bbox, angle = cv2.minAreaRect(c) # We want our pieces to be "vertical" if bbox[0] > bbox[1]: angle += 90 bbox = (bbox[1], bbox[0]) if bbox[1] / float(bbox[0]) > 70: print("Skipping piece #%s as too too long and narrow" % name) return None # Coords of region of interest using which we should crop piece after # rotation y1 = math.floor(box_center[1] - bbox[1] / 2) x1 = math.floor(box_center[0] - bbox[0] / 2) bbox = tuple(map(int, map MNIST_deskewing using findContours,minAreaRect,drawContours of opencv (python) - mnist_deskew.py # Test.py import cv2 import numpy as np import operator import os # module level variables ##### MIN_CONTOUR_AREA = 50 RESIZED_IMAGE_WIDTH = 20 RESIZED_IMAGE_HEIGHT = 30 ##### class ContourWithData (): # member variables ##### npaContour = None # contour boundingRect = None # bounding rect for contour intRectX = 0 # bounding rect top left calcula quatro pontos extremos em torno dos contornos de texto (ignorando qualquer coisa com uma margem) desenha um retângulo em torno dessa área usando cv2.minAreaRect. A ideia era que o cv2.minAreaRect também retornasse o ângulo, o que eu poderia usar para compensar a imagem. No entanto, no meu caso, é de -90 °. rect = cv2.minAreaRect(cnt) box = cv2.cv.BoxPoints(rect) box = np.int0(box) cv2.drawContours(im,[box],0,(0,0,255),2) (x,y) - center point of the box (w,h) - width and height of the box theta - angle of rotation 1. Moments¶. Image moments help you to calculate some features like center of mass of the object, area of the object etc.

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Now that you've found the contour(s) that you want, you now want to get information about it, such as the center, corners, and rotation. Center¶. Python. rect = cv2. 1 Oct 2018 The minimum required version of OpenCV is 3.4.3. Before we dive into the code, 31, Rect box = Rect(left, top, right - left + 1, bottom - top + 1);  19 Mar 2020 Use python opencv to return the smallest circumscribed rectangle of the point set cnt,The function u. So area of the bounding rectangle won't be minimum.

This is a default interpretation of Rect_::x and Rect_::y in OpenCV. Though, in your algorithms you may count x and y from the bottom-left corner. Rectangle width and height.

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It has a function cv2.boxPoints(rect) for the same. cv2.cv.BoxPoints(rect) will be removed then. – Abid Rahman K Aug 13 '13 at 15:39 However, my attempts to use minAreaRect as a precursor to rotation and cropping are failing to generate a rectangle that contains the input contour.

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This takes as input a 2D point set and returns a Box2D structure which contains the following details – (center (x, y), (width, height), angle of rotation). The syntax is given below. rect = cv2.minAreaRect (cnt) box = cv2.cv.BoxPoints (rect) # cv2.boxPoints (rect) for OpenCV 3.x box = np.int0 (box) cv2.drawContours (im, [box],0, (0,0,255),2) should do the trick.

It is a straight rectangle, it doesn't consider the rotation of the object. So area of the bounding rectangle won't be minimum. It is found by the function cv.boundingRect().
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Cv2 MinAreaRect Method (IEnumerable Point2f) Finds the minimum area rotated rectangle enclosing a 2D point set. Namespace: draws a rectangle around that area using cv2.minAreaRect; The idea was that cv2.minAreaRect returns the angle as well, which I could use to deskew the image. However, in my case it's –90°. You can see a sample input image here.

At last we find a minimum enclosing circle for every polygon and save it to center and radius vectors. The following are 30 code examples for showing how to use cv2.FILLED().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Aspect Ratio¶ It is the ratio of width to height of bounding rect of the object.
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contourArea ( cnt ) x , y , w , h = cv2 . boundingRect ( cnt ) rect_area = w * h extent = float ( area ) / rect_area 3. 目录 一、cv2.minAreaRect函数原型 二、minAreaRect函数返回rect对象 一、cv2.minAreaRect函数原型 cv2.minAreaRect(Points) 其中points是点集，数据类型为ndarray，array((x1,y1),(x2,y2),.,(xn,yn)) 而minAreaRect就是求出在上述点集下的最小面积矩形 eg. This page shows Python examples of cv2.getRectSubPix. def crop_minAreaRect(src, rect): # Get center, size, and angle from rect center, size, theta = rect # Angle correction if theta < -45: theta += 90 # Convert to int center, size = tuple(map(int, center)), tuple(map(int, size)) # Get rotation matrix for rectangle M = cv2.getRotationMatrix2D( center, theta, 1) # Perform rotation on src image Python minEnclosingCircle - 30 examples found. These are the top rated real world Python examples of cv2.minEnclosingCircle extracted from open source projects. You can rate examples to help us improve the quality of examples.

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注意 ：旋转角度θ是水平轴（x轴）逆时针旋转，与碰到的矩形的第一条边的夹角。. 并且这个边的边长是width，另一条边边长是height。. 2 cv2.minAreaRect. 作用：minAreaRect - min Area Rect 最小区域矩形；计算指定点集的最小区域的边界矩形，矩形可能会发生旋转 possibly rotated，以保证区域面积最小。 Use cv2.boundingRect to get the bounding rectangle (in green), cv2.minAreaRect to get the minimum area rectangle (in red), and cv2.minEnclosingCircle to get minimum enclosing circle (in blue). In this tutorial, we will learn how to select a bounding box or a rectangular region of interest (ROI) in an image in OpenCV. In the past, we had to write our own bounding box selector by handling mouse events.

desenha um retângulo em torno dessa área usando cv2.minAreaRect ; A ideia era que o cv2.minAreaRect também retornasse o ângulo, o que eu poderia usar para compensar a imagem. No entanto, no meu caso, é de -90 °. Você pode ver uma amostra de imagem de input . Você pode ver o resultado que recebo .