kdncode/tensorFlow-react

ML

YOLO v2

YOLO9000 is a high speed, real time detection algorithm that can detect on OVER 9000! (object categories). Read more

Requirements

• Python 3.5 or 3.6. Download here
• Tensorflow. Download here
• OpenCV Download here

pip install opencv-python

Download Darkflow repo

• Download ZIP
• Extract.

Build the library

• Cd to darkflow-master folder that just extracted.
• Open terminal & Run:

python setup.py build_ext --inplace

or

pip install -e .

Download the 'weights' file

• Create bin folder inside darkflow-master folder.
• Download the YOLOv2 608x608 weights file here.
• Put the weights file inside bin folder.

Processing video file

• Put the video into darkflow-master folder.
• Open terminal & Run:
• Without GPU version of tensorflow:

python flow --model cfg/yolo.cfg --load bin/yolov2.weights --demo video_file_name.mp4 --saveVideo

• GPU version of tensorflow:

python flow --model cfg/yolo.cfg --load bin/yolov2.weights --demo video_file_name.mp4 --gpu 1.0 --saveVideo

*NOTE:

• video_file_name.mp4 changes to your video name.

• --saveVideo indicates to save a name video file, which has the boxes around objects

License

Darkflow

Video credit

Photo credit