Weakly Supervised Object Detection In Practice

  • 2019-07-10
  • Taha Emara
  • Deep Learning, Computer Vision, Object Detection, Pytorch

In this post, we will learn how to apply a proposed method to make a classification network performs both object classification and object localization in a single forward-pass.

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How to build a custom object detector using YOLOv3 in Python

  • 2018-11-11
  • Taha Emara
  • Yolo, Computer Vision, Deep Learning, Opencv, Object Detection

In this post, we will learn how to train YOLOv3 on a custom dataset using the Darknet framework and also how to use the generated weights with OpenCV DNN module to make an object detector.

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How to build a custom object detector using Yolo

  • 2018-07-31
  • Taha Emara
  • Deep Learning, Deeplearning4j, Computer Vision, Yolo, Java, Object Detection

In this post, we will learn how to build a custom object detector using Yolo. For example, I made a detector to detect my Rubik’s Cube.

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Real-time Sudoku Solver

  • 2018-05-19
  • Taha Emara
  • Computer Vision, Deep Learning, Machine Learning, Deeplearning4j, Opencv, Java

In this post, we will learn how to solve a printed sudoku solver using a real-time feed from a camera.

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digit-recognition

Handwritten Multi-digit String Segmentation and Recognition using Deep Learning

  • 2018-02-17
  • Taha Emara
  • Opencv, Machine Learning, Deeplearning4j, Deep Learning, Java

In this post, we will learn how to develop an application to segment a handwritten multi-digit string image and recognize the segmented digits using deep learning.

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Arabic Handwritten Characters Recognition using Deeplearning4j

  • 2017-10-18
  • Taha Emara
  • Deeplearning4j, Machine Learning, Java, Deep Learning

In this post, I introduce an implementation of a proposed CNN design for Arabic handwritten characters recognition.

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Realtime Driver Drowsiness Detection (Sleep Detection)

  • 2017-09-12
  • Taha Emara
  • Opencv, Machine Learning, Dlib, Deep Learning, Computer Vision

In this post, I introduce an app for realtime driver drowsiness detection (Sleep Detection) using facial landmarks.

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