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--- |
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license: gpl-3.0 |
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tags: |
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- tracking |
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- VOT |
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pretty_name: >- |
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TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the |
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Wild |
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size_categories: |
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- 10K<n<100K |
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--- |
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# TrackingNet devkit |
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## Download from HuggingFace |
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### Authenticate with token |
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```python |
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from huggingface_hub import login |
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login(token = <YOUR_TOKEN>) # https://huggingface.co/settings/tokens -> Create new token |
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``` |
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### Download split |
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```python |
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from huggingface_hub import snapshot_download |
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# Download TRAIN_0 split |
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snapshot_download(repo_id="SilvioGiancola/TrackingNet", repo_type="dataset", allow_patterns="*TRAIN_0/*", local_dir="TrackingNet_HF") |
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# Download TEST split |
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snapshot_download(repo_id="SilvioGiancola/TrackingNet", repo_type="dataset", allow_patterns="*TEST/*", local_dir="TrackingNet_HF") |
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# Download all TRAIN splits |
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snapshot_download(repo_id="SilvioGiancola/TrackingNet", repo_type="dataset", allow_patterns="*TRAIN*", local_dir="TrackingNet_HF") |
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``` |
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## TrackingNet pip package |
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```bash |
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conda create -n TrackingNet python pip |
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pip install TrackingNet |
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``` |
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### Utility functions for TrackingNet |
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```python |
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from TrackingNet.utils import getListSplit |
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# Get list of codenames for the 12 training + testing split |
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TrackingNetSplits = getListSplit() |
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print(getListSplit()) |
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# 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"] |
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# Get list of tracking sequences |
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print(getListSequence(split=TrackingNetSplits[1])) # return list of tracking sequences in that split |
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print(getListSequence(split="TEST")) # return list of tracking sequences for testing |
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print(getListSequence(split=["TRAIN_0", "TRAIN_1"])) # return list of tracking sequences for train splits 0 and 1 |
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print(getListSequence(split="TRAIN")) # return list of tracking sequences for al train splits |
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``` |
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### Downloading TrackingNet |
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```python |
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from TrackingNet.Downloader import TrackingNetDownloader |
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from TrackingNet.utils import getListSplit |
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downloader = TrackingNetDownloader(LocalDirectory="path/to/TrackingNet") |
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for split in getListSplit(): |
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downloader.downloadSplit(split) |
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``` |
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