Included are all relavent files to my final submisison
There are four folders
- Colour Extraction
- Breed Classification
- Prototype
- Flask Pipeline App
All code submitted for final assesment is included here. The main aspects of this repository are concerned with the folder Flask PipeLine App here
This folder inlcudes the Jupyter Notebook that runs through how to extract the dominant colours of a given image input.
This folder inlcued the Jupyter Notebook that builds a CNN using Keras and implements transfer learning to add the weights associated with classification of dog breeds.
All prototype images and files are included here.
Must be installed prior to running. Python 3.7 Tensorflow OpenCV matplotlib Jupyter Notebook Enviroment
The Prototype xml file was created with Draw.io. Other Prototyping tools may open the file, not tested though.
I also attended the TU Dublin project fair, held in Gleeson Hall 9th of April, booth 17.
You can view my poster from the event here