Modelpublic

skyeen623/ALPRDemo

sourceHugging Faceupdated 4mo agoView on Hugging Face

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Model Card

1 Overview

—Backend API for Barcode Scanner Project.

2. Run demo

2.1 Simple demo

ruby

from algorithm import Algorithm
with open("config.json", "r") as f:
    config = json.load(f)
algorithm = Algorithm(config=config)
ori_img = cv2.imread("images/1.jpg")
camera_id = "0"
list_infer_imgs = [[ori_img, camera_id]]
list_results = algorithm.process(list_infer_imgs)

2.2 Input/Output format

—Input format: a list of image and camera_id.
—Output format: json. Example:

"returned_result"[ [ { "bbox":[ 79.375, 533.125, 1795.0, 806.875 ], "score":0.9345703125, "keypoints":[ 69.375, 548.75, 1.0, 1770.0, 555.625, 0.9990234375, 1767.5, 785.625, 0.99267578125, 78.125, 788.125, 0.9990234375 ], "texts":[ { "bbox":[ 1379.19140625, 111.03955078125, 1602.31640625, 135.966796875 ], "score":0.9638671875, "text":"DIFFUSEDINJAPAN" }, { "bbox":[ 611.1533203125, 99.796142578125, 697.265625, 132.48046875 ], "score":0.95703125, "text":"2500pcs." } ], "barcodes":[ { "bbox":[ 706.330078125, 39.1776123046875, 889.7109375, 229.0517578125 ], "score":0.98486328125, "text":"" }, { "bbox":[ 899.47265625, 161.329833984375, 1628.8125, 230.96923828125 ], "score":0.9716796875, "text":"Y38106966002500XTSC6DP5" } ] } ] ]

3 Update Log

4 Test

PYTHONPATH=. pytest -v -m "unit" PYTHONPATH=. python tests/benchmark/benchmarkjapanworkflow.py PYTHONPATH=. python tests/benchmark/benchmark_dataset.py