Beginner help!
Thanks for making the dataset public. I have never used a HF dataset before so was wondering if there is any way to get my hands dirty, play around with the data first before committing to downloading the whole thing. I first tried to load the dataset with stream = true. and get some samples using dataset.take
dataset = load_dataset("nvidia/PhysicalAI-Autonomous-Vehicles", split="train", streaming=True)
dataset_head = dataset.take(10000)
However, when I try to display what dataset_head returns is always a metadata content like:
{'width': 1920,
'height': 1080,
'cx': 961.657192016632,
'cy': 562.7801919188191,
'bw_poly_0': 0.0,
'bw_poly_1': 0.001083324843542263,
'bw_poly_2': -1.026101958314126e-08,
'bw_poly_3': 5.594490116145639e-11,
'bw_poly_4': -1.4503731119552064e-14,
'fw_poly_0': 0.0,
'fw_poly_1': 923.279364421818,
'fw_poly_2': 6.990252712348339,
'fw_poly_3': -39.64191584275481,
'fw_poly_4': 11.138168402423995,
'clip_id': '0af7d5e9-d259-4fc7-af2a-d3d5a0578003',
'camera_name': 'camera_front_wide_120fov'}
I looked at the github page of the devkit, it does not contain any instructions. Can someone guide me?
Thanks