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Basic object detection in python using OpenCv and Numpy - by Dustbiin

Best Pdf Viewer/Reader for Linux/Ubuntu 20.04 - by Dustbiin

PDF viewer and editor for Ubuntu operating system.

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In now days lot's of PDF reader/viewer available for Ubuntu and they are also Open source, But if you want a software which is also useful for the advance thing like-
  • Display PDFs with high fidelity
  • Annotate & Markup PDFs
  • Fill & Save Forms
  • Render Digital Signatures & Layers
  • Advanced User Interface
  • Advanced Print & Search Options
  • Document Storage Integrations
  • DocuSign© Integration
If you want a PDF reader which has all these feature then you can use QOPPA SOFTWARE PDF studio.

PDF Studio Viewer is a cross-platform PDF reader that is reliable and easy to use. PDF Studio Viewer can annotate PDF documents and fill interactive forms. For more editing features, Qoppa Software publishes PDF Studio Standard and Pro editions.

Download Link- click hear

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Basic object detection in python using OpenCv and Numpy - by Dustbiin

 Object detection in python by using OpenCv and Numpy -  Object Detection is a new vision technique using camera. It give us ability to identify objects in a cam video and also in an image.  with this kind of technique we identify the object on the basis of color, shape and size etc. And it is also use for count the object in an image or videos. Object detection is also user for tracking an object current location.  Code for basic object detection on the basis of color- import numpy as np import cv2 def nothing (x): print (x) #user for live cam object detection cap = cv2.VideoCapture( 0 ) cv2.namedWindow( 'Tracking' ) cv2.createTrackbar( 'LH' , 'Tracking' , 0 , 255 , nothing) cv2.createTrackbar( 'LS' , 'Tracking' , 0 , 255 , nothing) cv2.createTrackbar( 'LV' , 'Tracking' , 0 , 255 , nothing) cv2.createTrackbar( 'UH' , 'Tracking' , 255 , 255 , nothing) cv2.createTrackbar( 'US' , 'Tracking' , 255