Datasets:

SilvioGiancola
/

TrackingNet

Size:

10K<n<100K

Tags:

tracking

VOT

License:

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Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1853, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 678, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 830, in read_with_retries
                  out = read(*args, **kwargs)
                File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1387, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1896, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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End of preview.

TrackingNet devkit

Download from HuggingFace

Download splits

from huggingface_hub import snapshot_download

# Download TRAIN_0 split (90GB)
snapshot_download(repo_id="SilvioGiancola/TrackingNet", 
                  repo_type="dataset", revision="main",
                  local_dir="TrackingNet_HF", 
                  allow_patterns="*TRAIN_0/*")
# Download TEST split (35GB)
snapshot_download(repo_id="SilvioGiancola/TrackingNet", 
                  repo_type="dataset", revision="main",
                  local_dir="TrackingNet_HF", 
                  allow_patterns="*TEST/*")
# Download all TRAIN splits (1.2TB)
snapshot_download(repo_id="SilvioGiancola/TrackingNet", 
                  repo_type="dataset", revision="main",
                  local_dir="TrackingNet_HF", 
                  allow_patterns="*TRAIN*")

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)

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