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PaddleDetection inscriptionem propositi GitHub est
Suspendisse mauris:

PaddlePaddle >= 2.3.2
OS 64位操作系统
Python 3(3.5.1+/3.6/3.7/3.8/3.9/3.10)，64位版本
pip/pip3(9.0.1+)，64位版本
CUDA >= 10.2
cuDNN >= 7.6
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pituitam download instructiones:

python -m pip install paddlepaddle-gpu==2.5.1 -i https://pypi.tuna.tsinghua.edu.cn/simple  
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Download in PaddleDetection project:

pip install --upgrade pip
conda deactivate
# conda env remove -n PaddleDetection 
conda create -n PaddleDetection python=3.8
activate PaddleDetection
# 安装paddlepaddle（GPU）（需要十几分钟时间，耐心等待）
conda install paddlepaddle-gpu==2.1.1 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/

# pip安装paddledet
pip install paddledet==2.1.0 -i https://mirror.baidu.com/pypi/simple
# 安装其他依赖
pip install -r requirements.txt
# 测试安装成功与否
python ppdet/modeling/tests/test_architectures.py
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Ut in codice project PaddleDetection, etiam Zip et unzip eam depone.

git clone https://github.com/PaddlePaddle/PaddleDetection.git
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Gitee 2.4Release versionem link

cd PaddleDetection-release-2.4
# 安装 CUDA 和 CUDAnn
conda install cudatoolkit=10.2.89 cudnn=7.6.5
# 安装paddlepaddle
# pip方式
python -m pip install paddlepaddle-gpu==2.2.2 -i https://mirror.baidu.com/pypi/simple
# Conda方式（需要十几分钟时间，耐心等待）
conda install paddlepaddle-gpu==2.2.2 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
# 相关依赖下载
pip install -r requirements.txt
# pip install scikit-learn
# conda install networkx
# conda install flask
# conda install opencv-python==4.6.0.66
# pip uninstall -y protobuf 
# pip install protobuf==3.20.0
# 退出新建的虚拟环境
conda deactivate
# 回到原来你项目的虚拟环境
activate 你的虚拟环境名称
# 编译安装paddledet
python setup.py install
# 安装后确认测试通过：
python ppdet/modeling/tests/test_architectures.py
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Relationes nexus:
PaddleDetection institutionem documentorum
[Error fama] protobuf 3.20.3 quod repugnat.
PaddlePaddle et PaddleDetection institutionem tutorial
PaddleDetection environment configuratione detailed processus