https://github.com/eqs/DeepLabCut-Docker

Dockerfile for DeepLabCut 2.0 (https://github.com/AlexEMG/DeepLabCut)
https://github.com/eqs/DeepLabCut-Docker

behavior-analysis deeplabcut docker

Last synced: about 1 month ago
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Dockerfile for DeepLabCut 2.0 (https://github.com/AlexEMG/DeepLabCut)

• Host: GitHub
• URL: https://github.com/eqs/DeepLabCut-Docker
• Owner: eqs
• Created: 2019-01-25T09:51:51.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-05T16:19:43.000Z (over 4 years ago)
• Last Synced: 2024-02-09T15:04:44.815Z (5 months ago)
• Topics: behavior-analysis, deeplabcut, docker
• Language: Dockerfile
• Homepage:
• Size: 3.91 KB
• Stars: 8
• Watchers: 2
• Forks: 3
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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• awesome-stars - DeepLabCut-Docker - Dockerfile for DeepLabCut 2.0 (https://github.com/AlexEMG/DeepLabCut) (Dockerfile)

README

        
# deeplabcut-docker

* This Dockerfile provides DeepLabCut + Anaconda environment on Ubuntu 16.04, CUDA 9.0 and CuDNN v7.

* You can easily and quickly build the environment of DeepLabCut by using this repo.

* We support GUI tools `label_frames` and `refine_labels` with X Window System.

## Prerequisites

Please finish `Prerequisites` of [Docker4DeepLabCut2.0](https://github.com/AlexEMG/Docker4DeepLabCut2.0#prerequisites) (i.e. install of Docker and nvidia-docker, and complete the docker group setting)

## :mouse: Quick start :mouse:

### Build the image 

```sh

$ make docker-build

```

### Start the container

```sh

$ make docker-run

```

### Launch JupyterLab

Inside the container, 

```sh

$ make jupyter

```

You can access the JupyterLab from a browser (`http://localhost:9000`).