ALPR utils
This is a DL model to detect & recognize Chinese license plates in unconstrained scenarios.
Requirements
Download models
You can checkout the pre-trained models in pretrained/* branches.
Run a cli-demo
Simplest:
python3 test.py /path/to/image
Details:
$ python3 test.py --help
usage: test.py [-h] [--dims DIMS] [--threshold THRESHOLD] [--plt_w PLT_W]
[--plt_h PLT_H] [--seq_len SEQ_LEN] [--no_yolo] [--beam]
[--beam_size BEAM_SIZE] [--device_id DEVICE_ID] [--gpu]
IMG [IMG ...]
Start a ALPR tester.
positional arguments:
IMG path of the image file[s]
optional arguments:
-h, --help show this help message and exit
--dims DIMS set the sample dimentions (default: 208)
--threshold THRESHOLD
set the positive threshold (default: 0.9)
--plt_w PLT_W set the max width of output plate images (default:
144)
--plt_h PLT_H set the max height of output plate images (default:
48)
--seq_len SEQ_LEN set the max length of output sequences (default: 8)
--no_yolo do not extract automobiles using YOLOv3
--beam using beam search
--beam_size BEAM_SIZE
set the size of beam (default: 5)
--device_id DEVICE_ID
select device that the model using (default: 0)
--gpu using gpu acceleration
Run a demo server
Simplest:
python3 server.py
Details:
$ python3 server.py --help
usage: server.py [-h] [--dims DIMS] [--threshold THRESHOLD] [--plt_w PLT_W]
[--plt_h PLT_H] [--seq_len SEQ_LEN] [--beam_size BEAM_SIZE]
[--no_yolo] [--addr ADDR] [--port PORT]
[--device_id DEVICE_ID] [--gpu]
Start a ALPR demo server.
optional arguments:
-h, --help show this help message and exit
--dims DIMS set the sample dimentions (default: 208)
--threshold THRESHOLD
set the positive threshold (default: 0.9)
--plt_w PLT_W set the max width of output plate images (default:
144)
--plt_h PLT_H set the max height of output plate images (default:
48)
--seq_len SEQ_LEN set the max length of output sequences (default: 8)
--beam_size BEAM_SIZE
set the size of beam (default: 5)
--addr ADDR set address of ALPR server (default: 0.0.0.0)
--port PORT set port of ALPR server (default: 80)
--device_id DEVICE_ID
select device that the model using (default: 0)
--gpu using gpu acceleration