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Datasets:
SilvioGiancola
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TrackingNet

Size:
10K<n<100K
ArXiv:
Tags:
Tracking
VOT
Video
Motion
Propagation
License:
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metadata
license: gpl-3.0
tags:
  - tracking
  - VOT
pretty_name: >-
  TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the
  Wild
size_categories:
  - 10K<n<100K

TrackingNet devkit

Download from HuggingFace 

from huggingface_hub import hf_hub_download
from huggingface_hub import HfApi
from huggingface_hub import login

# Login
login(token = <YOUR_TOKEN>) # https://huggingface.co/settings/tokens -> Create new token

# List files
api = HfApi()
files = api.list_repo_files(repo_id="SilvioGiancola/TrackingNet", repo_type="dataset")

# [Optional] Filter files for "TRAIN_0" spliut only
files = [file for file in files if "TRAIN_0/" in file]

# Download all files from the list
for file in files: 
    hf_hub_download(repo_id="SilvioGiancola/TrackingNet", filename=file, repo_type="dataset", local_dir="TrackingNet_HF")

# Download zipped TEST set
hf_hub_download(repo_id="SilvioGiancola/TrackingNet", filename="TEST.zip", repo_type="dataset", local_dir="TrackingNet_HF")

TrackingNet pip package 

conda create -n TrackingNet python pip
pip install TrackingNet

Utility functions for TrackingNet 

from TrackingNet.utils import getListSplit

# Get list of codenames for the 12 training + testing split
TrackingNetSplits = getListSplit()
print(getListSplit())
# returns ["TEST", "TRAIN_0", "TRAIN_1", "TRAIN_2", "TRAIN_3", "TRAIN_4", "TRAIN_5", "TRAIN_6", "TRAIN_7", "TRAIN_8", "TRAIN_9", "TRAIN_10", "TRAIN_11"]


# Get list of tracking sequences
print(getListSequence(split=TrackingNetSplits[1])) # return list of tracking sequences in that split
print(getListSequence(split="TEST")) # return list of tracking sequences for testing
print(getListSequence(split=["TRAIN_0", "TRAIN_1"])) # return list of tracking sequences for train splits 0 and 1
print(getListSequence(split="TRAIN")) # return list of tracking sequences for al train splits

Downloading TrackingNet 

from TrackingNet.Downloader import TrackingNetDownloader
from TrackingNet.utils import getListSplit


downloader = TrackingNetDownloader(LocalDirectory="path/to/TrackingNet")

for split in getListSplit():
    downloader.downloadSplit(split)