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Steel Billet Character Recognition
The overall directory structure of SBCR(Steel Billet Character Recognition) is introduced as follows:
Steel-Billet-Character-Recognition
├── Xiang-Steel-Billet-Dataset (Not open source yet)
├── Tangshan-Steel-Billet-Dataset (Not open source yet)
├── PaddleOCR
├── PaddleSlim
├── TCPServing
└── output
conda create -n SBCR python=3.7.4
conda activate SBCR
conda install paddlepaddle-gpu==2.0.0rc0 cudatoolkit=10.0 -c paddle
CUDA_VISIBLE_DEVICES=0 python ./run_check.py
Your Paddle Fluid works well on SINGLE GPU or CPU.
Your Paddle Fluid works well on MUTIPLE GPU or CPU.
Your Paddle Fluid is installed successfully! Let's start deep Learning with Paddle Fluid now
git clone https://github.com/YukSing12/Steel-Billet-Character-Recognition.git
cd Steel-Billet-Character-Recognition/
git clone https://github.com/PaddlePaddle/PaddleOCR.git
cd PaddleOCR/
pip install -r requirements.txt -i https://mirror.baidu.com/pypi/simple
python setup.py install
git clone https://github.com/PaddlePaddle/PaddleSlim.git
cd PaddleSlim/
pip install -r requirements.txt -i https://mirror.baidu.com/pypi/simple
python setup.py install