This application is used as reference code for developers to show how to use the Python bindings for the C++ API and could be used to easily check the accuracy. The application accepts path to a JPEG/PNG/BMP file as input. This is not the recommended way to use the API. We recommend reading the data directly from the camera and feeding the SDK with the uncompressed YUV data without saving it to a file or converting it to RGB.
If you don't want to build this sample and is looking for a quick way to check the accuracy then, try our cloud-based solution at https://www.doubango.org/webapps/micr/.
This sample is open source and doesn't require registration or license key.
You must build the Python extension before trying to run this sample. More information on how to build the extension could be found here
recognizer.py
is a Python command line application with the following usage:
recognizer.py \
--image <path-to-image-with-plate-to-process> \
[--assets <path-to-assets-folder>] \
[--format <format-for-dtection:e13b/cmc7/e13b+cmc7>] \
[--backprop <whether-to-enable-backpropagation:true/false>] \
[--ielcd <whether-to-enable-IELCD:true/false>] \
[--tokenfile <path-to-license-token-file>] \
[--tokendata <base64-license-token-data>]
Options surrounded with [] are optional.
--image
Path to the image(JPEG/PNG/BMP) to process. You can use default image at ../../../assets/images/e13b_1280x720.jpg.--assets
Path to the assets folder containing the configuration files and models. Default value is the current folder.--format
Defines the MICR format to enable for the detection. Usee13b
to look for E-13B lines only andcmc7
for CMC-7 lines only. To look for both, usee13b+cmc7
. For performance reasons you should not usee13b+cmc7
unless you really expect the document to contain both E-13B and CMC7 lines. Default:e13b+cmc7
.--backprop
Whether to enable backpropagation to detect the MICR lines. OnlyCMC-7
font uses this option. More information at https://www.doubango.org/SDKs/micr/docs/Detection_techniques.html#backpropagation. Default:true
for x86 CPUs andfalse
for ARM CPUs.--ielcd
Whether to enable Image Enhancement for Low Contrast Document (IELCD). More information at https://www.doubango.org/SDKs/micr/docs/IELCD.html#ielcd. Default:true
for x86 CPUs andfalse
for ARM CPUs.--tokenfile
Path to the file containing the base64 license token if you have one. If not provided then, the application will act like a trial version. Default: null.--tokendata
Base64 license token if you have one. If not provided then, the application will act like a trial version. Default: null.
You should navigate to the current folder (ultimateMICR-SDK/samples/python/recognizer
) before trying the next commands:
cd ultimateMICR-SDK/samples/python/recognizer
- For example, on Raspberry Pi you may call the recognizer application using the following command:
PYTHONPATH=../../../binaries/raspbian/armv7l:../../../python \
LD_LIBRARY_PATH=../../../binaries/raspbian/armv7l:$LD_LIBRARY_PATH \
python recognizer.py --image ../../../assets/images/e13b_1280x720.jpg --format e13b --assets ../../../assets
- On Linux x86_64, you may use the next command:
PYTHONPATH=../../../binaries/linux/x86_64:../../../python \
LD_LIBRARY_PATH=../../../binaries/linux/x86_64:$LD_LIBRARY_PATH \
python recognizer.py --image ../../../assets/images/e13b_1280x720.jpg --format e13b --assets ../../../assets
Before trying to run the program you'll need to download libtensorflow.so as explained here
- On Windows x86_64, you may use the next command:
setlocal
set PYTHONPATH=../../../binaries/windows/x86_64;../../../python
python recognizer.py --image ../../../assets/images/e13b_1280x720.jpg --format e13b --assets ../../../assets
endlocal
Please note that if you're cross compiling the application then you've to make sure to copy the application and both the assets and binaries folders to the target device.
If you get undefined symbol: PyUnicode_FromFormat
error message, then make sure you're using Python 3 and same version as the one used to buid the extension. We tested the code on version 3.6.9 (Windows 8), 3.6.8 (Ubuntu 18) and 3.7.3 (Raspbian Buster). Run python --version
to print your Python version. You may use python3
instead of python
to make sure you're using version 3.