GitHub - volsn/Vehicle-Detection: Main aim of the project is to develop a machine learning based system for detecting vehicles that drive up to the gate and to classify them into emergency services and civil cars. This may have a significant impact on the speed of gate opening and reduce the human associated problems and risks.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
Interface		Interface
classifier		classifier
yolo-coco		yolo-coco
.dockerignore		.dockerignore
.gitignore		.gitignore
0.jpg		0.jpg
Dockerfile		Dockerfile
cameras.json		cameras.json
data.json		data.json
logs.py		logs.py
logs.txt		logs.txt
manage.py		manage.py
mask.jpg		mask.jpg
mask_angle.png		mask_angle.png
model.pickle		model.pickle
model_our_own_data.h5		model_our_own_data.h5
model_weights.h5		model_weights.h5
nohup.out		nohup.out
requirements.txt		requirements.txt
test_save_model.h5		test_save_model.h5

About

Main aim of the project is to develop a machine learning based system for detecting vehicles that drive up to the gate and to classify them into emergency services and civil cars. This may have a significant impact on the speed of gate opening and reduce the human associated problems and risks.

opencv django tensorflow keras emergency ambulance vehicle-detection yolov3 vehicle-classification