其它库安装方法
查看有几个虚拟环境
conda info --envs
conda create -n p363 python==3.6.3
创建一个虚拟环境
conda create -n t1.12 python==3.6.5
anaconda3x
激活一个虚拟环境的方法
activate ten2
查看环境下面安装了哪些库
pip list
conda list
然后pip install or conda install 库名
pip install matplotlib
pip install sklearn
pip install scikit-image
pip install pillow
pip install pandas
pip install matplotlib pillow pandas sklearn
pip config set global.index-url http://mirrors.aliyun.com/pypi/simple
pip config set global.trusted-host mirrors.aliyun.com
pip install numpy==1.16
pip install matplotlib==3.1.2 opencv-contrib-python==3.4.2.17 pillow sklearn scikit-image
pip install matplotlib==3.1.2 pillow sklearn scikit-image
pip3 install opencv-contrib-python -i https://pypi.tuna.tsinghua.edu.cn/simple
打开jupyter
jupyter notebook
查看有几个虚拟环境
conda info --envs
查看位置
where python
python convert.py -w model_train/yolov4.weights -m model_train/yolov4.h5
python predict.py -m model_train/yolov4.h5 -i data/test.png
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip config set global.trusted-host https://pypi.tuna.tsinghua.edu.cn
sudo pip3 install opencv-contrib-python==4.5.3.56 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install opencv-contrib-python==4.4.0.46
sudo apt-get install -y make wget unzip git
sudo apt-get install -y wget
sudo apt-get install -y unzip
sudo apt-get install -y git
sudo apt-get install build-essential pkg-config
sudo apt-get install libgtk2.0-dev libgtk-3-dev libglib2.0-dev libavcodec-dev libavformat-dev libswscale-dev libavutil-dev libv4l-dev liblapacke-dev libxvidcore-dev libx264-dev
sudo apt-get install python-dev python-numpy
sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
sudo apt-get install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper1 libjasper-dev libdc1394-22-dev libopenexr-dev libwebp-dev
sudo apt-get install libatlas-base-dev gfortran
sudo apt-get install ffmpeg
conda info --envs
conda create -n p363 python==3.6.3
创建一个虚拟环境
conda create -n t1.12 python==3.6.5
anaconda3x
激活一个虚拟环境的方法
activate ten2
查看环境下面安装了哪些库
pip list
conda list
然后pip install or conda install 库名
pip install matplotlib
pip install sklearn
pip install scikit-image
pip install pillow
pip install pandas
pip install matplotlib pillow pandas sklearn
pip config set global.index-url http://mirrors.aliyun.com/pypi/simple
pip config set global.trusted-host mirrors.aliyun.com
pip install numpy==1.16
pip install matplotlib==3.1.2 opencv-contrib-python==3.4.2.17 pillow sklearn scikit-image
pip install matplotlib==3.1.2 pillow sklearn scikit-image
pip3 install opencv-contrib-python -i https://pypi.tuna.tsinghua.edu.cn/simple
打开jupyter
jupyter notebook
查看有几个虚拟环境
conda info --envs
查看位置
where python
python convert.py -w model_train/yolov4.weights -m model_train/yolov4.h5
python predict.py -m model_train/yolov4.h5 -i data/test.png
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip config set global.trusted-host https://pypi.tuna.tsinghua.edu.cn
sudo pip3 install opencv-contrib-python==4.5.3.56 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install opencv-contrib-python==4.4.0.46
sudo apt-get install -y make wget unzip git
sudo apt-get install -y wget
sudo apt-get install -y unzip
sudo apt-get install -y git
sudo apt-get install build-essential pkg-config
sudo apt-get install libgtk2.0-dev libgtk-3-dev libglib2.0-dev libavcodec-dev libavformat-dev libswscale-dev libavutil-dev libv4l-dev liblapacke-dev libxvidcore-dev libx264-dev
sudo apt-get install python-dev python-numpy
sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
sudo apt-get install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper1 libjasper-dev libdc1394-22-dev libopenexr-dev libwebp-dev
sudo apt-get install libatlas-base-dev gfortran
sudo apt-get install ffmpeg
