在存储库目录/keras-retinanet/中,执行pip install . --user 后,出现错误:

D:\>cd D:\JupyterWorkSpace\keras-retinanet

D:\JupyterWorkSpace\keras-retinanet>pip install . --user
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Processing d:\jupyterworkspace\keras-retinanet
Requirement already satisfied: keras in c:\programdata\anaconda3\lib\site-packages (from keras-retinanet==0.4.1) (2.2.0)
Collecting keras-resnet (from keras-retinanet==0.4.1)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/05/46/ad0b2d1a05d9497bd80c98a2c3f4d8be38a4601ace69af72814f5fafd851/keras-resnet-0.1.0.tar.gz
Requirement already satisfied: six in c:\programdata\anaconda3\lib\site-packages (from keras-retinanet==0.4.1) (1.11.0)
Requirement already satisfied: scipy in c:\programdata\anaconda3\lib\site-packages (from keras-retinanet==0.4.1) (1.0.0)
Requirement already satisfied: cython in c:\programdata\anaconda3\lib\site-packages (from keras-retinanet==0.4.1) (0.28.4)
Requirement already satisfied: keras-preprocessing==1.0.1 in c:\programdata\anaconda3\lib\site-packages (from keras->keras-retinanet==0.4.1) (1.0.1)
Requirement already satisfied: keras-applications==1.0.2 in c:\programdata\anaconda3\lib\site-packages (from keras->keras-retinanet==0.4.1) (1.0.2)
Requirement already satisfied: numpy>=1.9.1 in c:\programdata\anaconda3\lib\site-packages (from keras->keras-retinanet==0.4.1) (1.14.0)
Requirement already satisfied: pyyaml in c:\programdata\anaconda3\lib\site-packages (from keras->keras-retinanet==0.4.1) (3.12)
Requirement already satisfied: h5py in c:\programdata\anaconda3\lib\site-packages (from keras->keras-retinanet==0.4.1) (2.7.1)
Building wheels for collected packages: keras-retinanet, keras-resnet
Running setup.py bdist_wheel for keras-retinanet ... error
Complete output from command c:\programdata\anaconda3\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\ADMINI~1\\AppData\\Local\\Temp\\pip-req-build-ecoryr2p\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d C:\Users\ADMINI~1\AppData\Local\Temp\pip-wheel-ica_gqsh --python-tag cp36:
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\keras_retinanet
copying keras_retinanet\initializers.py -> build\lib.win-amd64-3.6\keras_retinanet
copying keras_retinanet\losses.py -> build\lib.win-amd64-3.6\keras_retinanet
copying keras_retinanet\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet
creating build\lib.win-amd64-3.6\tests
copying tests\test_losses.py -> build\lib.win-amd64-3.6\tests
copying tests\__init__.py -> build\lib.win-amd64-3.6\tests
creating build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\cntk_backend.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\common.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\dynamic.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\tensorflow_backend.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\theano_backend.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
creating build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\convert_model.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\debug.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\evaluate.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\train.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
creating build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\coco.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\common.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\eval.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
creating build\lib.win-amd64-3.6\keras_retinanet\layers
copying keras_retinanet\layers\filter_detections.py -> build\lib.win-amd64-3.6\keras_retinanet\layers
copying keras_retinanet\layers\_misc.py -> build\lib.win-amd64-3.6\keras_retinanet\layers
copying keras_retinanet\layers\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\layers
creating build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\densenet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\mobilenet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\resnet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\retinanet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\vgg.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\models
creating build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\coco.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\csv_generator.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\generator.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\kitti.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\open_images.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\pascal_voc.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
creating build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\anchors.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\coco_eval.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\colors.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\eval.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\image.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\keras_version.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\model.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\transform.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\visualization.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
creating build\lib.win-amd64-3.6\tests\backend
copying tests\backend\test_common.py -> build\lib.win-amd64-3.6\tests\backend
copying tests\backend\__init__.py -> build\lib.win-amd64-3.6\tests\backend
creating build\lib.win-amd64-3.6\tests\layers
copying tests\layers\test_filter_detections.py -> build\lib.win-amd64-3.6\tests\layers
copying tests\layers\test_misc.py -> build\lib.win-amd64-3.6\tests\layers
copying tests\layers\__init__.py -> build\lib.win-amd64-3.6\tests\layers
creating build\lib.win-amd64-3.6\tests\models
copying tests\models\test_densenet.py -> build\lib.win-amd64-3.6\tests\models
copying tests\models\test_mobilenet.py -> build\lib.win-amd64-3.6\tests\models
copying tests\models\__init__.py -> build\lib.win-amd64-3.6\tests\models
creating build\lib.win-amd64-3.6\tests\preprocessing
copying tests\preprocessing\test_csv_generator.py -> build\lib.win-amd64-3.6\tests\preprocessing
copying tests\preprocessing\test_generator.py -> build\lib.win-amd64-3.6\tests\preprocessing
copying tests\preprocessing\__init__.py -> build\lib.win-amd64-3.6\tests\preprocessing
creating build\lib.win-amd64-3.6\tests\utils
copying tests\utils\test_transform.py -> build\lib.win-amd64-3.6\tests\utils
copying tests\utils\__init__.py -> build\lib.win-amd64-3.6\tests\utils
running build_ext
cythoning keras_retinanet/utils/compute_overlap.pyx to keras_retinanet/utils\compute_overlap.c
building 'keras_retinanet.utils.compute_overlap' extension
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools ----------------------------------------
Failed building wheel for keras-retinanet
Running setup.py clean for keras-retinanet
Running setup.py bdist_wheel for keras-resnet ... done
Stored in directory: C:\Users\Administrator\AppData\Local\pip\Cache\wheels\7f\48\1e\b0b8fdd329b2546bfe9d407d7496327bdd668d7fa0a041f809
Successfully built keras-resnet
Failed to build keras-retinanet
Installing collected packages: keras-resnet, keras-retinanet
Running setup.py install for keras-retinanet ... error
Complete output from command c:\programdata\anaconda3\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\ADMINI~1\\AppData\\Local\\Temp\\pip-req-build-ecoryr2p\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record C:\Users\ADMINI~1\AppData\Local\Temp\pip-record-7tdlp8uk\install-record.txt --single-version-externally-managed --compile --user --prefix=:
running install
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\keras_retinanet
copying keras_retinanet\initializers.py -> build\lib.win-amd64-3.6\keras_retinanet
copying keras_retinanet\losses.py -> build\lib.win-amd64-3.6\keras_retinanet
copying keras_retinanet\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet
creating build\lib.win-amd64-3.6\tests
copying tests\test_losses.py -> build\lib.win-amd64-3.6\tests
copying tests\__init__.py -> build\lib.win-amd64-3.6\tests
creating build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\cntk_backend.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\common.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\dynamic.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\tensorflow_backend.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\theano_backend.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
copying keras_retinanet\backend\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\backend
creating build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\convert_model.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\debug.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\evaluate.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\train.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
copying keras_retinanet\bin\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\bin
creating build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\coco.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\common.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\eval.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
copying keras_retinanet\callbacks\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\callbacks
creating build\lib.win-amd64-3.6\keras_retinanet\layers
copying keras_retinanet\layers\filter_detections.py -> build\lib.win-amd64-3.6\keras_retinanet\layers
copying keras_retinanet\layers\_misc.py -> build\lib.win-amd64-3.6\keras_retinanet\layers
copying keras_retinanet\layers\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\layers
creating build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\densenet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\mobilenet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\resnet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\retinanet.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\vgg.py -> build\lib.win-amd64-3.6\keras_retinanet\models
copying keras_retinanet\models\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\models
creating build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\coco.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\csv_generator.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\generator.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\kitti.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\open_images.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\pascal_voc.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
copying keras_retinanet\preprocessing\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\preprocessing
creating build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\anchors.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\coco_eval.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\colors.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\eval.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\image.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\keras_version.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\model.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\transform.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\visualization.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
copying keras_retinanet\utils\__init__.py -> build\lib.win-amd64-3.6\keras_retinanet\utils
creating build\lib.win-amd64-3.6\tests\backend
copying tests\backend\test_common.py -> build\lib.win-amd64-3.6\tests\backend
copying tests\backend\__init__.py -> build\lib.win-amd64-3.6\tests\backend
creating build\lib.win-amd64-3.6\tests\layers
copying tests\layers\test_filter_detections.py -> build\lib.win-amd64-3.6\tests\layers
copying tests\layers\test_misc.py -> build\lib.win-amd64-3.6\tests\layers
copying tests\layers\__init__.py -> build\lib.win-amd64-3.6\tests\layers
creating build\lib.win-amd64-3.6\tests\models
copying tests\models\test_densenet.py -> build\lib.win-amd64-3.6\tests\models
copying tests\models\test_mobilenet.py -> build\lib.win-amd64-3.6\tests\models
copying tests\models\__init__.py -> build\lib.win-amd64-3.6\tests\models
creating build\lib.win-amd64-3.6\tests\preprocessing
copying tests\preprocessing\test_csv_generator.py -> build\lib.win-amd64-3.6\tests\preprocessing
copying tests\preprocessing\test_generator.py -> build\lib.win-amd64-3.6\tests\preprocessing
copying tests\preprocessing\__init__.py -> build\lib.win-amd64-3.6\tests\preprocessing
creating build\lib.win-amd64-3.6\tests\utils
copying tests\utils\test_transform.py -> build\lib.win-amd64-3.6\tests\utils
copying tests\utils\__init__.py -> build\lib.win-amd64-3.6\tests\utils
running build_ext
skipping 'keras_retinanet/utils\compute_overlap.c' Cython extension (up-to-date)
building 'keras_retinanet.utils.compute_overlap' extension
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools ----------------------------------------
Command "c:\programdata\anaconda3\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\ADMINI~1\\AppData\\Local\\Temp\\pip-req-build-ecoryr2p\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record C:\Users\ADMINI~1\AppData\Local\Temp\pip-record-7tdlp8uk\install-record.txt --single-version-externally-managed --compile --user --prefix=" failed with error code 1 in C:\Users\ADMINI~1\AppData\Local\Temp\pip-req-build-ecoryr2p\

  Microsoft visual c++ 14.0 is required的问题,可以安装Microsoft visual c++ 14.0进行解决,点此链接下载,下载安装后,Keras RetinaNet github项目顺利安装成功。

Keras RetinaNet github项目安装的更多相关文章

  1. Keras RetinaNet github项目

    https://github.com/fizyr/keras-retinanet 根据此网站的方法,利用Pascal VOC 2007数据集开始训练,出现error: D:\JupyterWorkSp ...

  2. Eclipse安装git插件以及关联导入GitHub项目

    一.Eclipse配置git 1.查看自己eclipse的版本 打开eclipse 导航: help->AboutEclipse 如图: 2.检查Eclipse中是否已安装Git插件 菜单栏He ...

  3. windows下GitHub的安装、配置以及项目的上传过程详细介绍

    概要 本文主要介绍了在Win10系统中安装Github终端.如何配置安装好的Git终端以及如何利用Git终端将自己的项目上传到远程服务器中 操作必备 win10系统电脑一台.良好的互联网连接.GitH ...

  4. MyEclipse如何安装egi插件及如何将github项目引入MyEclipse中

    一.如何查看MyEclipse版本及Eclipse版本号 查看MyEclipse版本号:MyEclipse主界面的菜单栏的最左边“help”—>选择“About MyEclipse Enterp ...

  5. GitHub的安装和第一次上传本地项目

    网站的新用户注册:http://www.github.com 安装:下载之后安装,一路下一步就可以了,安装完成后打开Git Bash,进入bash界面. 邮箱注册: $ git config --gl ...

  6. 用tortoiseGit管理GitHub项目代码(完整教程)

    一.为什么要写这篇博客呢,因为在一开始用tortoiseGit来管理项目的时候,在百度上找了很多教程,但是感觉说的都不是很全,有些东西以及操作没写清楚,所以想写一片比较完整用tortoiseGit管理 ...

  7. git和github新手安装使用教程(三步入门)

    git和github新手安装使用教程(三步入门) 对于新手来说,每次更换设备时,github的安装和配置都会耗费大量时间.主要原因是每次安装时都只关心了[怎么做],而忘记了记住[为什么].本文从操作的 ...

  8. VUE项目安装

    连接转载:https://www.cnblogs.com/Colwill-Blog/p/6682091.html 刚刚开始学习Vue.js.今天分享一下我的Vue项目安装过程. 我是windows系统 ...

  9. jenkins构建GitHub项目

    一.Jenkins 配置 Git 首先,登录 Jenkins ,在首页找到 “系统管理 -> Global Tool Configuration -> Git ” Path to Git ...

随机推荐

  1. Ubuntu18.04安装Python虚拟环境

    仅为使用Ubuntu18.04的Python开发人员作参考 1.安装Ubuntu18.04虚拟环境 sudo apt install virtualenv sudo apt install virtu ...

  2. centos查看系统/硬件信息及运维常用命令

    [root@yan-001 ~] # uname -a # 查看内核/操作系统/CPU信息的linux系统信息命令 [root@yan-001 ~] # head -n 1 /etc/issue # ...

  3. @PathVariable出现点号"."时导致路径参数截断获取不全的解决办法

    @PathVariable出现点号"."时导致路径参数截断获取不全的解决办法 比如,我路径是/test/{name},name的值是1.2.3.4,后台用@PathVariable ...

  4. 关于 永恒之蓝 和 MS17-010 补丁

    [KB4012598]:http://www.catalog.update.microsoft.com/Search.aspx?q=KB4012598 适用于Windows XP 32位/64位/嵌入 ...

  5. 【Android】onNewIntent调用时机

    在IntentActivity中重写下列方法:onCreate onStart onRestart onResume onPause onStop onDestroy onNewIntent一.其他应 ...

  6. Linux系统中yum 命令讲解

    (一)yum介绍 Yum(全称为 Yellow dogUpdater, Modified)是一个在Fedora和RedHat以及CentOS中的Shell前端软件包管理器.基于RPM包管理,能够从指定 ...

  7. CSS 实现左侧固定,右侧自适应两栏布局的方法

    "左边固定,右边自适应的两栏布局",其中有老生常谈的float方法,BFC方法,也有CSS3的flex布局与grid布局.并非所有的布局都会在开发中使用,但是其中也会涉及一些知识点 ...

  8. java实验-3

    实验内容 1.XP基础 2.XP核心实践 3.相关工具 实验内容 一.在IDEA中使用工具(Code->Reformate Code)把下面代码重新格式化,再研究一下Code菜单,找出一项让自己 ...

  9. Hierarchical clustering:利用层次聚类算法来把100张图片自动分成红绿蓝三种色调—Jaosn niu

    #!/usr/bin/python # coding:utf-8 from PIL import Image, ImageDraw from HierarchicalClustering import ...

  10. 观察者模式(Observer)和发布(Publish/订阅模式(Subscribe)的区别

    观察者模式(Observer)和发布(Publish/订阅模式(Subscribe)的区别 在翻阅资料的时候,有人把观察者(Observer)模式等同于发布(Publish)/订阅(Subscribe ...