| --- |
| license: cc-by-nc-sa-4.0 |
| pretty_name: IPD |
| --- |
| |
| # Industrial Plenoptic Dataset (IPD) |
|
|
| To download the data and extract it into BOP format simply execute: |
| ``` |
| export SRC=https://huggingface.co/datasets/bop-benchmark |
| wget $SRC/ipd/resolve/main/ipd_base.zip # Base archive with camera parameters, etc |
| wget $SRC/ipd/resolve/main/ipd_models.zip # 3D object models |
| wget $SRC/ipd/resolve/main/ipd_val.zip # Validation images |
| wget $SRC/ipd/resolve/main/ipd_test_all.zip # All test images part 1 |
| wget $SRC/ipd/resolve/main/ipd_test_all.z01 # All test images part 2 |
| wget $SRC/ipd/resolve/main/ipd_train_pbr.zip # PBR training images part 1 |
| wget $SRC/ipd/resolve/main/ipd_train_pbr.z01 # PBR training images part 2 |
| wget $SRC/ipd/resolve/main/ipd_train_pbr.z02 # PBR training images part 3 |
| wget $SRC/ipd/resolve/main/ipd_train_pbr.z03 # PBR training images part 4 |
| |
| 7z x ipd_base.zip # Contains folder "ipd" |
| 7z x ipd_models.zip -oipd # Unpacks to "ipd" |
| 7z x ipd_val.zip -oipd # Unpacks to "ipd" |
| 7z x ipd_test_all.zip -oipd # Unpacks to "ipd" |
| 7z x ipd_train_pbr.zip -oipd # Unpacks to "ipd" |
| ``` |
|
|
| If you downloaded the ipd_train_pbr files before March 20, please also download and unzip ipd_train_pbr_patch.zip! |
| |
| |
| ## Dataset parameters |
| |
| * Objects: 10 |
| * Object models: Mesh models |
| * Modalities: Three cameras are placed in each scene. Image, depth, angle of linear |
| polarization (AOLP), and degree of linear polarization (DOLP) data |
| are rendered for each camera. |
| |
| |
| ## Training PBR images splits |
| |
| Scenes 000000–000024 contain objects 0, 8, 18, 19, 20. |
| Scenes 000025–000049 contain objects 1, 4, 10, 11, 14. |
| |
| |
| ## Dataset format |
| |
| General information about the dataset format can be found in: |
| https://github.com/thodan/bop_toolkit/blob/master/docs/bop_datasets_format.md |
|
|
|
|
| ## References |
|
|
| [1] Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, |
| Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark; Proceedings of the |
| IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, |
| pp. 22691-22701 |
