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Robotic club ElHamma training

December 2018

Big lines:

  • Computer vision
  • Deep learning

Steps

  • Get basics of python, jupyter and math matrix
  • Create and apply filters to image
  • work with opencv and numpy OpenCv and Numpy
  • Street line detection using opencv
  • Random forest segmentation
  • Deep learning smile detection

Installation

The training requires conda installed conda to run. installation:

$ conda create --name elhamma1 --file conda_env1.txt 

Activate environment:

$ conda activate elhamma1 

Run jupyter notebook:

$ jupyter notebook

install tensorflow

$ https://github.com/antoniosehk/keras-tensorflow-windows-installation

Step 1:- conda search python

Step 2:- conda install python=3.5.2

Step 3:- pip install tensorflow

Step 4:- import tensorflow as tf

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ComputerVision training using OpenCv and Keras

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