https://github.com/sourdoughcat/tf-cv-starterkit
https://github.com/sourdoughcat/tf-cv-starterkit
Last synced: 6 months ago
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- Host: GitHub
- URL: https://github.com/sourdoughcat/tf-cv-starterkit
- Owner: SourdoughCat
- Created: 2017-08-12T23:16:02.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-08-30T01:48:47.000Z (almost 8 years ago)
- Last Synced: 2024-12-09T00:10:22.768Z (6 months ago)
- Size: 3.91 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Starter kit for Tensorflow and Opencv.
This will ensure that a standard environment is installed on everyones machine.
If you wish to use GPU powered tensorflow, you will need to install the appropriate tensorflow package, either manually or through configuration.
Overview
========
1. Create `conda` environment
2. Install `conda` environment (here)
3. Each time you work, activate this environment
Setup
=====
Install anaconda or miniconda from here: https://www.continuum.io/downloads or here https://conda.io/miniconda.html
Install miniconda on your machine. Detailed instructions:
* Linux: http://conda.pydata.org/docs/install/quick.html#linux-miniconda-install
* Mac: http://conda.pydata.org/docs/install/quick.html#os-x-miniconda-install
* Windows: http://conda.pydata.org/docs/install/quick.html#windows-miniconda-install
If you are on windows rename `meta_windows_patch.yml` to `meta.yml`
**1 Create your `conda` environment**
```
conda env create -f environment.yml
```
**2 Activate your environment**
Use (*nix):
```
source activate dl-uts
```
Or on Windows:
```
activate dl-uts
```
**3 (Optional) Run Jupyter Notebook Server**
Once you have activated the environment, you can then run `jupyter notebook` and TensorFlow should now be available for you.
Troubleshooting
===============
I wish to uninstall the environment!
```
conda env remove -n dl-uts
```