Yplate

Detect Vehicle Number plates with YOLOv3 powered by OpenCV >= 3.x

Updates:

It will be updated to pypi and conda soon with stable releases

Install:

a. With wheel

pip install https://github.com/deepraj1729/yplate/releases/download/0.0.1/yplate-0.0.1-py3-none-any.whl

b. With tar.gz

pip install https://github.com/deepraj1729/yplate/releases/download/0.0.1/yplate-0.0.1.tar.gz

Usage:

Command-line Arguments:-

1. detect

2. crop

detect

(1.a) Detect plates automatically (detected image will be saved to output directory always with original starting file name)

yplate detect images/car2.jpg

(1.b) Detect plates and custom save it with a valid new filename (detected image will be saved to output directory with custom file name)

yplate detect images/car2.jpg --save out2.jpg

(1.c) Hide output detected image

yplate detect images/car2.jpg --hide_img

(1.d) Hide output in command-line

yplate detect images/car2.jpg --hide_out

(1.e) Don't save output image

yplate detect images/car2.jpg --save none

crop

(2.a) Crop plates automatically ( Cropped plates will be saved to 'plates/' directory always with original starting file name)

yplate crop images/car2.jpg

(2.b) Detect plates and custom save it with a valid new filename (Cropped image will be saved to output directory with starting custom file name)

yplate crop images/car2.jpg --save plate2.jpg

(2.c) Hide cropped image in command-line

yplate crop images/car2.jpg --hide_img

(2.d) Hide output in command-line

yplate crop images/car2.jpg --hide_out

(2.e) Don't save output image

yplate crop images/car2.jpg --save none

Check yplate version:

yplate -v

Model Configuration:

yplate --config

Sample Outputs:

Detected Plates:

Corresponding plates: