bounding-box

to find the intersection of two bounding box in tensorflow?

拜拜、爱过 提交于 2021-02-08 04:52:08
问题 The coordinate of the system is boundary coordinates (x_min, y_min, x_max, y_max). and I want to find the intersection of two boxes set1 and set2 set1 -> (n1,4) set2 -> (n2,4) example set_1-> tensor([[0.2400, 0.2342, 0.8500, 0.8048], [0.1420, 0.5075, 0.2440, 0.5856], [0.0000, 0.5075, 0.1420, 0.5976]], device='cuda:0') set_2-> tensor([[-0.0368, -0.0368, 0.0632, 0.0632], [-0.0576, -0.0576, 0.0839, 0.0839], [-0.0576, -0.0222, 0.0839, 0.0485], ..., [ 0.0000, 0.0000, 1.0000, 1.0000], [ 0.0000, 0

Delete OCR word from Image (OpenCV,Python)

…衆ロ難τιáo~ 提交于 2021-02-07 02:55:53
问题 So, from what I can begin.. I am working with OCR. The script works pretty well for what I need. It detects the words with an accuracy which for me is ok. This is the result: 100% accuracy with attached image. from PIL import Image import pyocr.builders import os os.putenv("TESSDATA_PREFIX", "C:\\Program Files (x86)\\Tesseract-OCR") tools = pyocr.get_available_tools() tool = tools[0] langs = tool.get_available_languages() lang = langs[0] #eng file = "test.png" txt = tool.image_to_string(Image

fabric.js 3.6 - Bounding box for group doesn't update when grouped objects are changed

人盡茶涼 提交于 2021-01-28 21:51:41
问题 The problem I'm having with fabric.js seems simple, but I've been searching for a solution without any luck, so here I am. I create a simple group to draw an arrow, consisting of a line object and a rotated triangle placed at its end point. This works fine, but when I dynamically update the stroke width of the line and the width/height of the triangle, the group's bounding box doesn't update to match the new dimensions. Here's an image of the result: Here's a live demo. Just drag the slider

How can I find k minimum bounding rectangles to enclose all the given points?

丶灬走出姿态 提交于 2021-01-28 20:27:48
问题 Given a parameter k for the number of boxes and n data points, is there anyway I can find or approximate k axis-aligned bounding rectangles that enclose all the points while keeping the sum of the area of the rectangles minimum? 回答1: One way is to directly write this as a mathematical optimization problem. A high-level optimization model can look like as follows: We first define the decision variables: r(k,c) = coordinates for k-th box (e.g. c={x,y,w,h}) continuous variable with appropriate

Three.js: making bounding box

主宰稳场 提交于 2021-01-28 11:49:32
问题 In my program, I am trying to make bounding box around a point cloud. I have calculated the opposite vertices for this purpose. Here, documentation for BoxGeomtery is available. But I am not able to understand the constructor. Constructor takes width,height, depth as inputs. But what about location of the box. Where in the scene would this box be created?I want bounding box to be defined by two vertices I have. Edit: var geometry = new THREE.Box3(mn,mx); var material = new THREE

Calculate Smart Group of boxes with min max points

故事扮演 提交于 2021-01-28 04:09:36
问题 I have List of boundary boxes with min max point for example: public class BoundaryVolume { public Point3D min; public Point3D max; } BoundaryVolume Box1 = new BoundaryVolume ( new Point3D (5,10,15), new Point3D (30,50,100)); BoundaryVolume Box2 = new BoundaryVolume ( new Point3D (-30,-10,-15), new Point3D (30,50,100)); BoundaryVolume Box3 = new BoundaryVolume ( new Point3D (225,-50, -15), new Point3D (1000,0 , 0)); BoundaryVolume Box4 = new BoundaryVolume ( new Point3D (0,0,0), new Point3D

Object Detection on Android with Tensorflow Lite

喜你入骨 提交于 2021-01-13 11:21:01
问题 Trying to implement a custom object detection model with Tensorflow Lite, using Android Studio. I am following the guidance provided here: Running on mobile with TensorFlow Lite, however with no success. The example model runs properly showing all the detected labels. Nonetheless, when I try with my custom model I am not getting any labels at all. I have also tried with other models(from the internet but the outcome is the same). It is like that the labels are not being passed with the write

Object Detection on Android with Tensorflow Lite

。_饼干妹妹 提交于 2021-01-13 11:20:47
问题 Trying to implement a custom object detection model with Tensorflow Lite, using Android Studio. I am following the guidance provided here: Running on mobile with TensorFlow Lite, however with no success. The example model runs properly showing all the detected labels. Nonetheless, when I try with my custom model I am not getting any labels at all. I have also tried with other models(from the internet but the outcome is the same). It is like that the labels are not being passed with the write