sudo apt install libgtk-3-dev build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libgtk-3-dev libgtkglext1-dev libgstreamer1.0-dev libgphoto2-dev libopenblas-dev libatlas-base-dev libgstreamer-ocaml-dev libgstreamer-plugins-bad1.0-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-good1.0-dev libgstreamer1.0-dev libgstreamermm-1.0-dev libtesseract-dev liblept5 libleptonica-dev liblapacke-dev libgstreamer-plugins-bad1.0-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-good1.0-dev libgstreamerd-3-dev libgstreamermm-1.0-dev libv4l-dev libprotobuf-dev libhdf5-dev libgflags-dev
Miniconda是一个简化版的Anaconda,它提供了conda包管理器和Python环境,但不包括Anaconda发行版中预安装的数据科学包。尽管如此,使用Miniconda编译OpenCV的过程与Anaconda相似。
以下是在Miniconda环境下编译OpenCV Python绑定的步骤:
第1步:设置Miniconda环境
sh
# 创建新环境,假设你的Python版本为3.8
c