Installation
Pages 35
- Home
- AWS EC2 GPU enabled Caffe AMI
- Borrowing Weights from a Pretrained Network
- Caffe installing script for ubuntu 16.04 support Cuda 8
- Caffe on EC2 Ubuntu 14.04 Cuda 7
- Caffe Output: .caffemodel .solverstate
- Contributing
- Development
- Excluding Layers: Train and Test Phase
- Faster Caffe Training
- Fine Tuning or Training Certain Layers Exclusively
- GeForce GTX 1080, CUDA 8.0, Ubuntu 16.04, Caffe
- IDE Nvidia’s Eclipse Nsight
- Image Format: BGR not RGB
- Install Caffe on EC2 from scratch (Ubuntu, CUDA 7, cuDNN 3)
- Installation
- Installation (OSX)
- Making Prototxt Nets with Python
- Model Zo
- Model Zoo
- Models accuracy on ImageNet 2012 val
- OpenCV 3.2 Installation Guide on Ubuntu 16.04
- Python Layer Unit Tests
- Related Projects
- Reporting Bugs and Other Issues
- Simple Example: Sin Layer
- Solver Prototxt
- The Data Layer
- The Datum Object
- Training and Resuming
- Ubuntu 14.04 ec2 instance
- Ubuntu 14.04 VirtualBox VM
- Ubuntu 16.04 or 15.10 Installation Guide
- Using a Trained Network: Deploy
- Working with Blobs
- Show 20 more pages…
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The official installation instructions explain the recommended steps for installing on the official platforms of Ubuntu 14.04 and 12.04 and OS X 10.10, 10.9, and 10.8.
These unofficial instructions collect tips and guides but without any guarantees. Please add any missing details and correct any mistakes.
Linux
- Ubuntu 14.04/Cuda 7 for EC2: AMI and installation script that works on EC2 g2.2xlarge and g2.8xlarge instances.
- Ubuntu 14.04 VirtualBox VM: virtual machine installation with CUDA 6.5 and system Python.
- Ubuntu 14.04 ec2 instance: ec2 installation with CUDA 6.5 and video walkthrough plus a vagrant VM. (Needs update for latest Caffe).
- Docker image (GPU only): a Docker image for GPU mode, including Python dependencies. For detailed instructions, see Running Caffe on AWS GPU Instance via Docker
- Docker image (CPU only): Same as above, but CPU only.
- Alt. CPU Docker image: Weekly builds of Caffe (CPU-only).
- Alt. GPU Docker image: Weekly builds of Caffe (CUDA 6.5, 7.0 and 7.5 versions available). See source project for details.
- Super computing cluster without root access (GPU+CPU): Cuda 6.5, cuDNN V1, Python 2.7.x
OS X
See the official instructions.
Windows
The official windows port can be accessed from Microsoft/caffe, which is supported by Microsoft.
There is an unofficial Windows port of Caffe at niuzhiheng/caffe:windows. Thanks @niuzhiheng!
Another unofficial Windows port of Caffe at [redknightlois/caffe] (https://github.com/redknightlois/caffe). This port is based on work done by @initialneal. Binary packages to compile available at: https://initialneil.wordpress.com/2015/01/11/build-caffe-in-windows-with-visual-studio-2013-cuda-6-5-opencv-2-4-9/
Yet another unofficial Windows port can be found at willyd/caffe. Unlike the previous ports this one builds on top of the CMake build. A super-build project that downloads and builds all Caffe dependencies is also available at willyd/caffe-builder.