EDCC-Palmprint-Recognition
EDCC: An efficient and accurate algorithm for palmprint recognition.
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Download Latest Version (.zip)- CMakeLists.txt
- example.c
- CMakeLists.txt
- example.cpp
- example.py
- c_api.h
- facade.h
- status.h
- download.sh
- downloads.all.lst
- downloads.lst
- README.md
- __init__.py
- adapter.py
- code.py
- config.py
- constants.py
- encoder.py
- exceptions.py
- MANIFEST.in
- setup.cfg
- setup.py
- config.h
- reader.cpp
- reader.h
- c_api.cpp
- facade.cpp
- code.h
- comparer.cpp
- comparer.h
- encoder.cpp
- encoder.h
- gabor_filter.cpp
- gabor_filter.h
- test_reader.cpp
- test_c_api.cpp
- test_facade.cpp
- test_comparer.cpp
- test_encoder.cpp
- test_gabor_filter.cpp
- CMakeLists.txt
- main.cpp
- test_base.h
- CMakeLists.txt.in
- .clang-format
- .codecov.yml
- .gitignore
- .travis.yml
- CMakeLists.txt
- CONTRIBUTING.md
- edcc-config-version.cmake.in
- edcc-config.cmake.in
- LICENSE
- manage.sh
- README.md
# Installation Guide
1. Get the code
git clone https://github.com/leosocy/EDCC-Palmprint-Recognition
Downloads the entire project code from GitHub to your computer.
cd EDCC-Palmprint-Recognition
Moves into the project folder you just downloaded.
2. CMake
Medium RecommendedPrerequisites
cd /app/examples/c_example && mkdir -p build && cd build && cmake .. && make && ./run_c_sample
Moves into the project folder you just downloaded.
cd /app/examples/cpp_example && mkdir -p build && cd build && cmake .. && make && ./run_cpp_sample
Moves into the project folder you just downloaded.
Check that an executable was created inside the build folder, then run it directly (e.g. ./build/app_name).
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install .
Installs the package published on PyPI directly โ no need to clone the source.
python <์คํํ ํ์ผ๋ช
>.py # README์์ ์ ํํ ์คํ ํ์ผ๋ช
์ ํ์ธํ์ธ์
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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