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

Day #2 of deep learning with YOLO 😉

 

Today we will test object detection with darknet and darkflow configuration

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

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

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

An example of the object detection we learned today 🙂

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

//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

Advertisement

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

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

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

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

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

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

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