ProCodeCG – BDV – Technical Series #8 – Machine Learning Object Detection with YOLO – 8 April 2019 – Day #2

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Day #2 of deep learning with YOLO 😉

 

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Today we will test object detection with darknet and darkflow configuration

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It of course took a lot of effort and resources (in terms of time and computational resources :D)

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Every participants are free to decide darkflow or darknet. But both implementations are expected.

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Some of the participants use Google Colab so they can make use of the GPU 😉

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An example of the object detection we learned today 🙂

Screen Shot 2019-04-09 at 15.50.39//embedr.flickr.com/assets/client-code.js

predictions//embedr.flickr.com/assets/client-code.js
 

*Photos and videos are also available here
Most of the photos are courtesy of Telkom Bandung Digital Valley

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ProCodeCG – BDV – Technical Series #8 – Machine Learning Object Detection with YOLO – 1 April 2019 – Day #1

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Our training about Deep Learning and YOLO for object detection, Day #1 😉

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Like usual, the first day of the workshop is about basic theories and then installing saga 🙂

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Our target for today is installing Python, virtualenv, tensorflow, requests, numpy, cython, opencv, and nmv

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but since there are lots of operating systems and configurations, we could go as far as installing virtualenv and tensorflow and for some: hello world in tensorflow

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The complexity of the tasks is shown here 😀 *look at the faces LOL

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Next week we will learn about object detection theories and continue the installations 😉

*Photos and videos are also available here. Most of the photos are courtesy of Telkom Bandung Digital Valley