Toolkit
The benchmark offers light-weighted and compile-free toolkit written in Python. You will find tutorials and examples in the corresponding repositories.
Dataset
To download VideoCube files, please click one of the following links and provide your email address in the new page. We will send you an email with an link to your download.
Data File Structure
The VideoCube dataset includes 500 sequences, divided into three subsets (train/val/test). The content distribution in each subset still follows the 6D principle proposed in the GIT paper.
The dataset download and file organization process is as follows：
- Download three subsets (train/val/test) and the info data.
- Check the number of files in each subset and run the unzipping script. Before unzipping: (1) the train subset should includ 456 files (455 data files and an unzip_train bash); (2) the val subset should includ 69 files (68 data files and an unzip_val bash); (3) the test subset should includ 140 files (139 data files and an unzip_test bash)
- Run the unzipping script in each subset folder, and delete the script after decompression.
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Taking val subset as an example, the folder structure should follow:
|-- val/ | |-- 005/ | | |-- frame_005/ | | | |-- 000000.jpg/ | | | ...... | | | |-- 016891.jpg/ | |-- 008/ | | ...... | |-- 486/ | |-- 493/ - Unzip attribute.zip in info data. Attention that we only provide properties files for train and val subsets. For ground-truth files in the test subset, we only offer a small number of annotations for restart frames to support the essential function of the R-OPE mechanism. The annotations of other frames in the test subset have been set as zero. Please upload the final results to the server for evaluation.
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Rename and organize folders as follows：
|-- VideoCube/ | |-- data/ | | |-- train/ | | | |-- 002/ | | | | ...... | | | |-- 499/ | | |-- val/ | | | |-- 005/ | | | | ...... | | | |-- 493/ | | |-- test/ | | | |-- 001/ | | | | ...... | | | |-- 500/ | | |-- train_list.txt | | |-- val_list.txt | | |-- test_list.txt | |-- attribute/ | | |-- absent/ | | |-- color_constancy_tran/ | | | ...... | | |-- shotcut/
Results
Download baseline tracking results and performance reports of 20 public entries on VideoCube from the official account page:
License
The VideoCube dataset is licensed under CC BY-NC-SA 4.0. You are free to use the dataset for research purpose. If you want to use it for commercial purpose, please contact us.
Citation
Please cite our IEEE TPAMI paper if VideoCube helps your research.