安装msgpack-rpc-python:pip3 install msgpack-rpc-python 安装opencv:pip3 install opencv-python 安装numpy:pip3 install numpy 安装airsim:pip3 install airsim另外,如果您在中国大陆地区,由于网络限制可能导致无法正常访问某些Python库的官网。此时,您可以使用国内的镜像源来加速下载和安装过程。例如,您可以将以下代码...
先pip install msgpack-rpc-python 再pip install airsim 如果不想则 先pip install msgpack-rpc-python 然后pip3 install opencv-contrib-python -i https://pypi.tuna.tsinghua.edu.cn/simple(安装opencv) 再pip install airsim
airsim依赖于多个Python库,包括msgpack-rpc-python、opencv-python和numpy等。如果这些库没有正确安装,就会导致安装失败。你可以通过以下命令来安装这些依赖库: bash pip install msgpack-rpc-python pip install opencv-python pip install numpy 使用国内镜像源: 如果你在中国大陆地区,可以将以下代码添加到你的pip配...
mpmath==1.1.0msgpack==0.6.1multidict==4.7.6multipledispatch==0.6.0munch==2.5.0MyQR==2.3.1mysql-connector==2.2.9navigator-updater==0.2.1nbconvert==5.6.1nbformat==5.0.4nest-asyncio==1.4.1networkx==2.4nltk==3.4.5nose==1.3.7notebook==...
active environment:base active env location:/usr/local/anaconda3 shell level:1 user config file:/Users/<userid>/.condarc populated config files:/Users/<userid>/.condarc conda version:23.7.2 conda-build version:3.25.0 python version:3.11.3.final.0 virtual packages:__archspec=1=x86_64 __os...
base conda //update最新版本的conda conda create -n xxxx python=3.5 //创建python3.5的x...
Python.framework/Versions/3.9/include/python3.9 -c thriftpy2/transport/cybase.c -o build/temp.macosx-10.9-x86_64-3.9/thriftpy2/transport/cybase.o xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/...
pip version 21.3.1 Python version 3.10 OS Debian 11 How to Reproduce git clone https://www.gitHub.com/home-assistant/core home-assistant-core cd home-assistant-core python3 -m venv venv source venv/bin/activate pip3 install -r requirements_all.txt ...
10或3.11。在新环境中，您可能运行的是较新版本的Python，而在另一个环境中，您运行的是Python 3....
msgpack-python 1.0.0 py38h74a9793_1 msys2-conda-epoch 20160418 1 multipledispatch 0.6.0 py38_0 navigator-updater 0.2.1 py38_0 nbclient 0.5.1 py_0 nbconvert 6.0.7 py38_0 nbformat 5.0.8 py_0 nest-asyncio 1.4.2 pyhd3eb1b0_0