Yolo-deeplearning

Deep Learning using YOLO to locate object

What is YOLO v2 (aka YOLO 9000)

YOLO 9000 is a high speed, real time detection algorithm that can detect on OVER 9000! (object categories)

You can read it over here (https://arxiv.org/pdf/1612.08242.pdf)
watch a talk on it here (https://www.youtube.com/watch?v=NM6lrxy0bxs)
and another talk here (https://www.youtube.com/watch?v=4eIBisqx9_g)

YOLO Installation Requirement

Python 3.5 or Python 3.6
- Python 3.5 (https://www.python.org/downloads/release/python-350/)
- Python 3.6 (https://www.python.org/downloads/release/python-360/)
TensorFlow (https://www.tensorflow.org/install/source_windows)
- It is recommended that you install everything under one environment
Anaconda (https://www.anaconda.com/)
Pycharm (https://www.jetbrains.com/pycharm/)

Installing YOLO using Darkflow repo

https://github.com/thtrieu/darkflow
Follow the instruction carefully and you'll be good :)

Build the library

Open up cmd or anaconda prompt and: python setup.py build_ext --inplace OR pip install -e Make sure to build it INSIDE your created environment

Download weight file

Download the YOLOv2 608x608 weights file here (https://pjreddie.com/darknet/yolov2/)
NOTE: there are other weights files you can try if you like
Create a bin folder within the darkflow-master folder
Put the weights file in the bin folder

Test Run YOLO - Processing video file

Move a sample video into darkflow-master
From there, open a cmd window
Use the command
python flow --model cfg/yolo.cfg --load bin/yolov2.weights --demo videofile.mp4 --gpu 1.0 --saveVideo
videofile.mp4 is the name of your video.
NOTE if you do not have the GPU version of tensorflow, leave off the --gpu 1.0
--saveVideo indicates to save a name video file, which has the boxes around objects