EvanGreener / UAV-OCR-Shape-detection

Image recognition program for UAV Concordia. Goal is to classify characters and shapes.

UAV-OCR-Shape-detection

Image recognition program for UAV Concordia. Goal is to classify characters and shapes.

Prequisites:

• Python is installed
• VS code is installed
• Python extension from microsoft installed in VS code
• pip (python package manager) is installed

(WITH CUDA) Installation instructions on Ubuntu WSL

If you're using Ubuntu WSL, also install cuda accelerate driver for WSL https://dev.to/naruaika/using-opencv-on-windows-subsystem-for-linux-1ako

1. Install CUDA toolkit
2. Install CUDNN
3. Activate virutalenv
4. Install numpy
5. Download opencv & opencv_contrib
6. Rename both folders opencv & opencv_contrib
7. Make build directory and cd into it
8. Run the following command to build opencv with CUDA configurations

 cmake -D CUDA_ARCH_BIN=7.5 -D WITH_CUDA=ON -D WITH_CUDNN=ON -D OPENCV_DNN_CUDA=ON -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D OPENCV_ENABLE_NONFREE=ON -D OPENCV_EXTRA_MODULES_PATH=../opencv_contrib/modules/ -D PYTHON3_EXECUTABLE=$HOME/uav-test/.venv/ -D PYTHON3_NUMPY_INCLUDE_DIRS=$HOME/uav-test/.venv/lib64/python3.10/site-packages/numpy/core/include -D CMAKE_INSTALL_PREFIX=$HOME/uav-test/.venv ../opencv

8. run make -j4 (jetson nano has 4 cpu cores only)
9. run sudo make install
10. Hopefully should workd

(No CUDA) Installation instructions on Mac OS

1. Install tesseract (pytesseract is just a wrapper, still needs the actual c++ code)

   1. Download the pkg installer based on the os you have https://www.macports.org/install.php
   2. Install tesseract with MacPorts

   sudo port install tesseract

   3. To confirm that you installed it, run:

   tesseract --version

   4. Also install one language package, e.g.

   sudo port install tesseract-eng

2. Make sure your working directory is the project

cd UAV-OCR-Shape-detection/

3. Install virtual environment

pip install virtualenv

4. Create virtual environment

python3 -m venv .venv

5. Activate virtual environment

source .venv/bin/activate

6. Set your python interpreter to the one in the .venv

   1. Click the python interpreter at the bottom right
   2. Select the interpreter that's in the venv folder

7. Install the dependencies

pip install --upgrade pip

pip install -r requirements.txt

8. Press the play button at the top left of the python script you want to run and you should be good to go!