Courseras Deep Learning Object Detection Algoritm.
This is my version of the Object Detection source code from the Deep Learning Coursera course. I changed this a little bit so it
runs on my local Ubuntu machine without using the Jupyter notebook.
I have the following versions running:
- Ubuntu: 16.04 LTE
- Python : 3.6.0
- Tensorflow : 1.4.1
- Keras : 2.1.0
I installed Pyhon 3.6.0 as told via this link: https://askubuntu.com/questions/865554/how-do-i-install-python-3-6-using-apt-get and then followed the "pyenv" route (#56)
After installing python 3.6.0, I installed the following packages via "pip install -upgrade ...":
- jupyter, matplotlib, numpy, pandas, scipy scikit-learn
- keras, image, tensorflow, h5py
Please note that I was not able to upoad the yolo.h5 file in the model_data directory as it is too large ( > 100MB). This file contains the trained data for the YOLO network.
COPYRIGHT
All contributions by deeplearning.ai (Kian Katanforoosh, Younes Bensouda Mourri, Andrew Ng): Copyright (c) 2017, deeplearning.ai (Kian Katanforoosh, Younes Bensouda Mourri, Andrew Ng). All rights reserved.
This work incorporates contributions due to Allan Zelener released under an MIT License, reproduced below:
All contributions by Allan Zelener: Copyright (c) 2017, Allan Zelener. All rights reserved.
All other contributions: Copyright (c) 2017, the respective contributors. All rights reserved.
Each contributor holds copyright over their respective contributions. The project versioning (Git) records all such contribution source information.