Carnd-Vehicle-Detection-YOLOv3-darknet-

This is the yolov3 darknet implementation of fifth project of Udacity term-1 carnd nano-degree program

OVERVIEW

Uses the lastest version of yolo in darknet to completed the project.

Pre-install the environment of carnd nanaodegree program( mainly moviepy and cv for this code)

If you have both

NUMPY in -I/usr/include/python2.7/ -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/

CUDA in -I/usr/local/cuda/include/

present in the above location in your gpu system u can use the libdarknet.so already present in the folder

If you dont have a GPU system or numpy and cuda in specified locations, follow the below steps

Download the file by git clone https://github.com/pjreddie/darknet
Implement the changes from the issue in pjreddie/darknet#289 to load the image using moviepy or numpy and predict
make the code
Now a new libdarknet.so will be present in the folder copy that and replace in this folder

python abstract.py input_video_file_name output_video_file_name

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
cfg		cfg
data		data
README.md		README.md
abstract.py		abstract.py
darknet.py		darknet.py
libdarknet.so		libdarknet.so
output.mp4		output.mp4
project_video.mp4		project_video.mp4
project_video_output.mp4		project_video_output.mp4