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
The training requires conda installed conda to run. installation:
- for windows
- for mac Then install the dependencies to new environment called "elhamma1" using conda_env1.txt
$ conda create --name elhamma1 --file conda_env1.txt Activate environment:
$ conda activate elhamma1 Run jupyter notebook:
$ jupyter notebookinstall tensorflow
$ https://github.com/antoniosehk/keras-tensorflow-windows-installationStep 1:- conda search python
Step 2:- conda install python=3.5.2
Step 3:- pip install tensorflow
Step 4:- import tensorflow as tf