bounding-box

问题 This question already has answers here : How to check intersection between 2 rotated rectangles? (10 answers) Closed 5 years ago . I have a problem with collision detection in a 2D Java game. Normally, what I would do is create a getBounds() method for an object that can collide with other objects. This method would return a new Rectangle(x,y,width,height) , where x and y are the coordinates for the top-left corner of the sprite, and width and height are the width and height of the sprite.

问题 Been wanting to display just one section of the world map. Made mbtiles for it as well. But I also want the user to not be able to move outside a limited area. Below is the code I ran using Bounding Box on the world map but nothing is displayed on the screen, both on an emulator and an actual android device. Please help. IMapController mapController = mapView.getController(); BoundingBox bounds = mapView.getBoundingBox(); mapView.setTileSource(TileSourceFactory.MAPNIK); mapView

问题 I am trying to automatically crop the image below to a bounding box. The background will always be the same colour. I have tried the answers at Find the edges of image and crop it in MATLAB and various applications and examples on Mathworks' file exchange but I get stuck at getting a proper boundingbox. I was thinking to convert the image to black and white, converting it to binary and removing everything that's closer to white than black, but I'm not sure how to go about it. 回答1: Following

问题 Given the result of a call to imagettfbbox(), what is the correct, pixel-perfect point to provide to imagettftext() such that the text will not extend beyond its bounding box? I am determining the width/height and x/y of the baseline from the bounding box like this: $box = imagettfbbox($size, $angle, $font, $text); $boxXCoords = array($box[0], $box[2], $box[4], $box[6]); $boxYCoords = array($box[1], $box[3], $box[5], $box[7]); $boxWidth = max($boxXCoords) - min($boxXCoords); $boxHeight = max(

问题 I'm trying to get the bounding box of a series of text selections stored in a list. The bounding box is the smallest rectangle that can contain the whole selection. Each item in the list has a start and end point measured in characters from the beginning of the QTextEdit window and also a letter identifier. QTextEdit.cursorRect(cursor) should do this, but is producing nonsensical box dimensions: id: A -- PySide.QtCore.QRect(0, 0, 1, 10) id: B -- PySide.QtCore.QRect(0, 0, 1, 10) id: C --

问题 You have identified a solution of finding an area within a bounding box /circle using cross join as below: SELECT A.ID, C.Car FROM Cars C CROSS JOIN Areas A WHERE C.Latitude BETWEEN A.LatitudeMin AND A.LatitudeMax AND C.Longitude BETWEEN A.LongitudeMin AND A.LongitudeMax at: How to cross join in Big Query using intervals? however, using cross join for large data sets is blocked by GBQ ops team due to constrains on the infrastructure. Hence, my question: how could I find set of lat,longs

问题 I want to make a bounding box in texture. This texture is the result of image Segmentation I make Segmentation results into textures every time and I try to do a bounding box for this process I have pixel-specific values for texture, but this changes randomly every time. so, I tried to find pixel values with bfs algorithm. public Queue<Node> SegNode = new Queue<Node>(); private bool[,] visit = new bool[256, 256]; private int[] dx = new int[4] { 0, 1, -1, 0 }; private int[] dy = new int[4] { 1

问题 This is a language-agnostic question. Given a rectangle's dimensions with l,t,w,h (left, top, width, height) and a point x,y , how do I find the nearest point on the perimeter of the rectangle to that point? I have tried to resolve it in Lua, but any other language would do. So far this is my best effort: local function nearest(x, a, b) if a <= x and x <= b then return x elseif math.abs(a - x) < math.abs(b - x) then return a else return b end end local function getNearestPointInPerimeter(l,t

问题 I'm following this Repo on creating Yolo v3 model from scratch in PyTorch. The only problem is that the bounding boxes are not as tight (close to the objects) in most images I tried. I compared them to the tutorial on creating Yolo v3 model but using TensorFlow. The tensorflow model produces excellent bounding boxed that are as tight as possible to the objects. I tried to understand how the calculations are different between the two, but I'm finding myself getting stuck with the differences

问题 I want to get the multiple bounding boxes co-ordinates and the class of each bounding box and return it as a JSON file. when I print boxes[] from the following code, It has a shape of (1,300,4). There are 300 coordinates in boxes[]. But there are only 2 on my predicted image. I want the coordinates of the bounding boxes which are predicted on my image. Also, how would we know which bounding box is mapped to which category/class in the image? for example, let's say I have a dog and a person in