SoccerNet 0.0.126

SoccerNet SDK

SOCCERNETV2

conda create -n SoccerNet python pip
pip install SoccerNet

Structure of the data data for each game

• SoccerNet main folder
  • Leagues (england_epl/europe_uefa-champions-league/france_ligue-1/...)
    • Seasons (2014-2015/2015-2016/2016-2017)
      • Games (format: "{Date} - {Time} - {HomeTeam} {Score} {AwayTeam}")

        • SoccerNet-v2

          • 1_HQ.mkv: HQ video 1st half
          • 2_HQ.mkv: HQ video 2nd half
          • video.ini: information on start/duration for each half of the game in the HQ video, in second
          • 1.mkv: LQ video 1st half - timmed with start/duration from HQ video - resolution 224*398 - 25 fps
          • 2.mkv: LQ video 2nd half - timmed with start/duration from HQ video - resolution 224*398 - 25 fps
          • Labels-v2.json: Labels from SoccerNet-v2 - action spotting
          • Labels-cameras.json: Labels from SoccerNet-v1 - camera shot segmentation
          • 1_ResNET_TF2.npy: ResNET features @2fps for 1st half from SoccerNet-v2, extracted using TF2
          • 2_ResNET_TF2.npy: ResNET features @2fps for 2nd half from SoccerNet-v2, extracted using TF2
          • 1_ResNET_TF2_PCA512.npy: ResNET features @2fps for 1st half from SoccerNet-v2, extracted using TF2, with dimensionality reduced to 512 using PCA
          • 2_ResNET_TF2_PCA512.npy: ResNET features @2fps for 2nd half from SoccerNet-v2, extracted using TF2, with dimensionality reduced to 512 using PCA
          • 1_ResNET_5fps_TF2.npy: ResNET features @5fps for 1st half from SoccerNet-v2, extracted using TF2
          • 2_ResNET_5fps_TF2.npy: ResNET features @5fps for 2nd half from SoccerNet-v2, extracted using TF2
          • 1_ResNET_5fps_TF2_PCA512.npy: ResNET features @5fps for 1st half from SoccerNet-v2, extracted using TF2, with dimensionality reduced to 512 using PCA
          • 2_ResNET_5fps_TF2_PCA512.npy: ResNET features @5fps for 2nd half from SoccerNet-v2, extracted using TF2, with dimensionality reduced to 512 using PCA
          • 1_ResNET_25fps_TF2.npy: ResNET features @25fps for 1st half from SoccerNet-v2, extracted using TF2
          • 2_ResNET_25fps_TF2.npy: ResNET features @25fps for 2nd half from SoccerNet-v2, extracted using TF2

        • Legacy from SoccerNet-v1

          • Labels.json: Labels from SoccerNet-v1 - action spotting for goals/cards/subs only
          • 1_C3D.npy: C3D features @2fps for 1st half from SoccerNet-v1
          • 2_C3D.npy: C3D features @2fps for 2nd half from SoccerNet-v1
          • 1_C3D_PCA512.npy: C3D features @2fps for 1st half from SoccerNet-v1, with dimensionality reduced to 512 using PCA
          • 2_C3D_PCA512.npy: C3D features @2fps for 2nd half from SoccerNet-v1, with dimensionality reduced to 512 using PCA
          • 1_I3D.npy: I3D features @2fps for 1st half from SoccerNet-v1
          • 2_I3D.npy: I3D features @2fps for 2nd half from SoccerNet-v1
          • 1_I3D_PCA512.npy: I3D features @2fps for 1st half from SoccerNet-v1, with dimensionality reduced to 512 using PCA
          • 2_I3D_PCA512.npy: I3D features @2fps for 2nd half from SoccerNet-v1, with dimensionality reduced to 512 using PCA
          • 1_ResNET.npy: ResNET features @2fps for 1st half from SoccerNet-v1
          • 2_ResNET.npy: ResNET features @2fps for 2nd half from SoccerNet-v1
          • 1_ResNET_PCA512.npy: ResNET features @2fps for 1st half from SoccerNet-v1, with dimensionality reduced to 512 using PCA
          • 2_ResNET_PCA512.npy: ResNET features @2fps for 2nd half from SoccerNet-v1, with dimensionality reduced to 512 using PCA

How to Download Games (Python)

from SoccerNet.Downloader import SoccerNetDownloader

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

# Download SoccerNet labels and features
mySoccerNetDownloader.downloadGames(files=["Labels.json"], split=["train","valid","test"]) # download labels
mySoccerNetDownloader.downloadGames(files=["Labels-v2.json"], split=["train","valid","test"]) # download labels SN v2
mySoccerNetDownloader.downloadGames(files=["Labels-cameras.json"], split=["train","valid","test"]) # download labels for camera shot
mySoccerNetDownloader.downloadGames(files=["1_ResNET_TF2.npy", "2_ResNET_TF2.npy"], split=["train","valid","test"]) # download Features
mySoccerNetDownloader.downloadGames(files=["1_ResNET_TF2_PCA512.npy", "2_ResNET_TF2_PCA512.npy"], split=["train","valid","test"]) # download Features reduced with PCA

# Download SoccerNet videos (require password from NDA to download videos)
mySoccerNetDownloader.password = input("Password for videos? (contact the author):\n")
mySoccerNetDownloader.downloadGames(files=["1.mkv", "2.mkv"], split=["train","valid","test"]) # download LQ Videos
mySoccerNetDownloader.downloadGames(files=["1_HQ.mkv", "2_HQ.mkv", "video.ini"], split=["train","valid","test"]) # download HQ Videos

# Download SoccerNet Challenge set (require password from NDA to download videos)
mySoccerNetDownloader.downloadGames(files=["1_ResNET_TF2.npy", "2_ResNET_TF2.npy"], split=["challenge"]) # download Features
mySoccerNetDownloader.downloadGames(files=["1_ResNET_TF2_PCA512.npy", "2_ResNET_TF2_PCA512.npy"], split=["challenge"]) # download Features reduced with PCA
mySoccerNetDownloader.downloadGames(files=["1.mkv", "2.mkv", "video.ini"], split=["challenge"]) # download LQ Videos (require password from NDA)
mySoccerNetDownloader.downloadGames(files=["1_HQ.mkv", "2_HQ.mkv", "video.ini"], split=["challenge"]) # download HQ Videos (require password from NDA)

How to read the list Games (Python)

from SoccerNet.utils import getListGames
print(getListGames(split="train")) # return list of games recommended for training
print(getListGames(split="valid")) # return list of games recommended for validation
print(getListGames(split="test")) # return list of games recommended for testing
print(getListGames(split="challenge")) # return list of games recommended for challenge
print(getListGames(split=["train", "valid", "test", "challenge"])) # return list of games for training, validation and testing
print(getListGames(split="v1")) # return list of games from SoccerNetv1 (train/valid/test)