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Check out the documentation for more information.

1 Overview

  • Backend API for Barcode Scanner Project.

2. Run demo

2.1 Simple demo

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/benchmark_japan_workflow.py PYTHONPATH=. python tests/benchmark/benchmark_dataset.py

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