Metadata-Version: 2.1
Name: SoccerNet
Version: 0.0.36
Summary: SoccerNet SDK
Home-page: https://github.com/SilvioGiancola/SoccerNetv2
Author: Silvio Giancola
Author-email: silvio.giancola@kaust.edu.sa
License: MIT
Keywords: SoccerNet,SDK,Spotting,Football,Soccer,Video
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: tqdm
Requires-Dist: scikit-video

# SOCCERNETV2

```bash
conda create -n SoccerNet python pip
pip install SoccerNet
```

## How to Download Games (Python)

```python
from SoccerNet import SoccerNetDownloader

mySoccerNetDownloader = SoccerNetDownloader(
    LocalDirectory="/path/to/soccernet/folder")

# input password to download video (copyright protected)
password = input("Password for videos? (contact the author):\n")
mySoccerNetDownloader.password = password

# Download SoccerNet v1
mySoccerNetDownloader.downloadGames(files=["Labels.json"]) # download labels
mySoccerNetDownloader.downloadGames(files=["1.mkv", "2.mkv"]) # download LQ Videos
mySoccerNetDownloader.downloadGames(files=["1_HQ.mkv", "2_HQ.mkv", "video.ini"]) # download HQ Videos
mySoccerNetDownloader.downloadGames(files=["1_ResNET_TF2.npy", "2_ResNET_TF2.npy"]) # download Features


# Download SoccerNet Test Set
mySoccerNetDownloader.LocalDirectory = "/path/to/soccernet/test/folder"
mySoccerNetDownloader.downloadTestGames(files=["Labels.json"]) # download labels
mySoccerNetDownloader.downloadTestGames(files=["1.mkv", "2.mkv"]) # download LQ Videos
mySoccerNetDownloader.downloadTestGames(files=["1_HQ.mkv", "2_HQ.mkv", "video.ini"]) # download HQ Videos
mySoccerNetDownloader.downloadTestGames(files=["1_ResNET_TF2.npy", "2_ResNET_TF2.npy"]) # download Features
```

## [Coming soon...] Tensorflow/Pytorch dataloader

```bash
pip install scikit-video
pip cudnn cudatoolkit=10.1
pip install tensorflow
conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
```




