DVM-car dataset preprocessing

[K0uya]

Hi! Thank you for your great work! I would like to use DVM-car dataset to train models. How could I preprocess this one?

I could not find kitti_format_predictions.json in the DVM-car dataset. https://github.com/lty2226262/Car_studio/blob/main/car_studio/scripts/datasets/dd3d_filter.py#L38

[lty2226262]

Download the Processed DVM Dataset:

1. You can obtain the processed DVM dataset by visiting the following link:

Processed DVM Dataset

2. Download the Original DVM Dataset: Ensure that you also download the original DVM dataset.

3. File Tree Structure: Organize the datasets in the following directory structure:

/data/
|-- car_studio
|   |-- dv.json
|   |-- mask
|   `-- patch
`-- dvm
    `-- resized_DVM

Ensure that the downloaded files are placed in the correct folders as indicated.

[lty2226262]

For the issue discussed at GitHub, it has been identified that modifications are required in the preprocessing scripts. Due to current time constraints, I am unable to provide a detailed documentation on how to make these modifications.

I recommend downloading the preprocessed dataset directly to bypass the need for manual script adjustments. This will ensure a smoother and more efficient process.

And for kitti-mot, the directory structure tree should be

./data/
|-- car_studio
|   |-- km.json
|   |-- mask
|   `-- patch
|-- kitti-mot
    |-- testing
    `-- training

[lty2226262]

I apologize for any confusions that may have arisen. To ensure clarity and streamline the process, I have updated the README.md file with a high-priority recommendation. It is strongly advised to download the preprocessed dataset directly as this will facilitate a smoother and more efficient setup.