Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
First of all I would like to thank the entire team involved in this project. This dataset seems absolutely fantastic.
However, I have a little problem related to its download, I use gsutil for this and I end up with a set of splitted files: bike_test-00000-of-00094 ... bike_test-00094-of-00094
What should I use to merge them?
I am sorry if this question is naive or if the answer already appear on the git but I could not find a clear solution anywhere.
rameau-fr
commented
3 years ago
Hello,
First of all I would like to thank the entire team involved in this project. This dataset seems absolutely fantastic. However, I have a little problem related to its download, I use gsutil for this and I end up with a set of splitted files: bike_test-00000-of-00094 ... bike_test-00094-of-00094 What should I use to merge them?
I am sorry if this question is naive or if the answer already appear on the git but I could not find a clear solution anywhere.
Thank you very much.