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Python cv2 模块， minAreaRect() 实例源码. 我们从Python开源项目中，提取了以下35个代码示例，用于说明如何使用cv2.minAreaRect()。

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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.

class cv::Rect_< _Tp > Template class for 2D rectangles. described by the following parameters: Coordinates of the top-left corner. 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. 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.

Cv2 min area rect

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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. 二、minAreaRect函数返回rect对象 ① rect[0]返回矩形的中心点，（x,y），实际上为y行x列的像素点 函数 cv2.minAreaRect() 返回一个Box2D结构rect：（最小外接矩形的中心（x，y），（宽度，高度），旋转角度），但是要绘制这个矩形，我们需要矩形的4个顶点坐标box, 通过函数 cv2.cv.BoxPoints() 获得，返回形式[ [x0,y0], [x1,y1], [x2,y2], [x3,y3] ]。 Extent is the ratio of contour area to bounding rectangle area. area = cv2 . contourArea ( cnt ) x , y , w , h = cv2 .

Assembly: OpenCvSharp (in OpenCvSharp.dll) Version: 1.0.0. @StevenPuttemans The output of cv2.minAreaRect() is ((x, y), (w, h), angle). Using cv2.cv.BoxPoints() is meant to convert this to points.

cv2.rectangle() method is used to draw a rectangle on any image. Syntax: cv2.rectangle(image, start_point, end_point, color, thickness) Parameters: image: It is the image on which rectangle is to be drawn. start_point: It is the starting coordinates of rectangle. The coordinates are represented as tuples of two values i.e. (X coordinate value

It is found by the function cv2.boundingRect(). Let (x,y) be the top-left coordinate of the rectangle and (w,h) be its width and height. Extent is the ratio of contour area to bounding rectangle area. area = cv2 .

Cv2 min area rect

# get the min area rect. rect = cv2.minAreaRect(c) box = cv2.boxPoints(rect) # convert all coordinates floating point values to int. 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).

Cv2 min area rect

The following are 30 code examples for showing how to use cv2.boundingRect().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. Se hela listan på circuitdigest.com Extent is the ratio of contour area to bounding rectangle area. area = cv2 . contourArea ( cnt ) x , y , w , h = cv2 . boundingRect ( cnt ) rect_area = w * h extent = float ( area ) / rect_area 3. # 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.

Cv2 min area rect

Você pode ver o resultado que recebo . 7.a. Straight Bounding Rectangle. 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(). Let (x,y) be the top-left coordinate of the rectangle and (w,h) be its width and height.
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Straight Bounding Rectangle¶ It is a straight rectangle, it doesn’t consider the rotation of the object.
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Cv2 min area rect






You can use np.concatenate(contours) and it seems the cv2.minAreaRect function doesn't care that the points in the new array are not continuous. In my case this worked better than using the closing function, as I have more complex objects.

It is a straight rectangle, it doesn't consider the rotation of the object. So area of the bounding rectangle won't be minimum.


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For every found contour we now apply approximation to polygons with accuracy +-3 and stating that the curve must be closed. After that we find a bounding rect for every polygon and save it to boundRect. At last we find a minimum enclosing circle for every polygon and save it to center and radius vectors.

However, in my case it's –90°. You can see a sample input image here. class cv::Rect_< _Tp > Template class for 2D rectangles. described by the following parameters: Coordinates of the top-left corner. This is a default interpretation of Rect_::x and Rect_::y in OpenCV.