CardRec

How to install

First of all, run the config.sh file.

sh config.sh

After that, need to compile the darknet on your environment. The following section will demonstrate that how to compile the darknet in different environment.

How to compile on Linux/macOS (using CMake)

cd darknet
./build.sh

How to compile on Windows (using vcpkg)

git clone https://github.com/microsoft/vcpkg
cd vcpkg
$env:VCPKG_ROOT=$PWD
.\bootstrap-vcpkg.bat
.\vcpkg install darknet[full]:x64-windows #replace with darknet[opencv-base,cuda,cudnn]:x64-windows for a quicker install of dependencies
cd ../
cd darknet
powershell -ExecutionPolicy Bypass -File .\build.ps1

How to use

python3 rec.py --image='[path of the image]'

Result

It will return the json format data, such as:

[
  {
    "class_id": 14,
    "class": "back_wheel",
    "relative_coordinates": [
      763.0264319999999,
      653.39648,
      902.061056,
      693.8936319999999
    ],
    "result_text": "",
    "text": "120/70-12 "
  },
  {
    "class_id": 3,
    "class": "brand",
    "relative_coordinates": [
      63.202304,
      373.62611200000003,
      155.04896,
      418.865408
    ],
    "result_text": "",
    "text": "P.G.O. "
  },
  {
    "class_id": 0,
    "class": "id",
    "relative_coordinates": [
      65.98400000000001,
      296.40243200000003,
      278.592,
      368.731648
    ],
    "result_text": "",
    "text": "MR-XX-XX "
  },
  {
    "class_id": 4,
    "class": "model",
    "relative_coordinates": [
      398.30886399999997,
      376.96998399999995,
      716.644864,
      436.28825599999993
    ],
    "result_text": "",
    "text": "JR-125CIAX (ALPHA MAX) AT "
  },
  {
    "class_id": 6,
    "class": "engine_number",
    "relative_coordinates": [
      65.112576,
      479.118592,
      228.30438400000003,
      523.91552
    ],
    "result_text": "",
    "text": "J2E6F00862 "
  },
  {
    "class_id": 7,
    "class": "vin",
    "relative_coordinates": [
      414.4158719999999,
      480.204544,
      692.020224,
      529.42208
    ],
    "result_text": "",
    "text": "RFVJRE6J2J1000861 "
  },
  {
    "class_id": 8,
    "class": "registration_day",
    "relative_coordinates": [
      763.3740799999999,
      496.6845440000001,
      937.250304,
      546.6741760000001
    ],
    "result_text": "",
    "text": "2018/03/23 "
  },
  {
    "class_id": 1,
    "class": "class",
    "relative_coordinates": [
      413.69139199999995,
      296.937472,
      703.894016,
      372.88448
    ],
    "result_text": "",
    "text": "重型摩托車(0 "
  },
  {
    "class_id": 9,
    "class": "from",
    "relative_coordinates": [
      69.417984,
      556.257792,
      271.627264,
      638.7440640000001
    ],
    "result_text": "",
    "text": "中國臺灣 TAIWAN, CHINA "
  },
  {
    "class_id": 2,
    "class": "cc",
    "relative_coordinates": [
      769.2513280000001,
      308.952576,
      929.312768,
      362.55897600000003
    ],
    "result_text": "",
    "text": "124.8 c.c "
  },
  {
    "class_id": 10,
    "class": "seat",
    "relative_coordinates": [
      641.3829119999999,
      571.060736,
      676.433408,
      623.64928
    ],
    "result_text": "",
    "text": ""
  },
  {
    "class_id": 11,
    "class": "kg",
    "relative_coordinates": [
      763.854336,
      571.881472,
      886.8725760000001,
      629.2090880000001
    ],
    "result_text": "",
    "text": "282 kgs "
  },
  {
    "class_id": 12,
    "class": "color",
    "relative_coordinates": [
      73.41568,
      631.79904,
      210.18316799999997,
      714.214656
    ],
    "result_text": "",
    "text": ""
  },
  {
    "class_id": 5,
    "class": "usage",
    "relative_coordinates": [
      773.0959359999999,
      373.76819200000006,
      907.965952,
      472.72140800000005
    ],
    "result_text": "",
    "text": "私人 Particular "
  },
  {
    "class_id": 13,
    "class": "front_wheel",
    "relative_coordinates": [
      411.579904,
      649.9494400000001,
      554.678784,
      694.727936
    ],
    "result_text": "",
    "text": "110/70-12 "
  }
]