public-cadc-train

dataset = "wiselab/public-cadc-train"

name = "sample_point_cloud_sequence"

pc_urls = [
    "https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/73b62f59-cb43-4625-aeb0-6e64ea42b28a.pcd",
    "https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/73b62f59-cb43-4625-aeb0-6e64ea42b28a.pcd",
]

frames = [
    {
        "pcd": {"url": pc_urls[0], "type": "pcd"},
        "name": "sample_point_cloud_1",
        "timestamp": "1532402927647951",
        "ego_pose": {
            "position": {"x": -1180.8903791765097, "y": 411.3039349319818, "z": 0},
            "heading": {
                "qx": -0.0016977771610471074,
                "qy": 0.011798001930183783,
                "qz": -0.8201446642457809,
                "qw": 0.5720320396729045,
            },
        },
        "default_z": -1,
    },
    {
        "pcd": {"url": pc_urls[1], "type": "pcd"},
        "name": "sample_point_cloud_2",
        "timestamp": "1532402928147847",
        "ego_pose": {
            "position": {"x": -1176.6769733781416, "y": 409.7431520488096, "z": 0},
            "heading": {
                "qx": -0.0013288675751650467,
                "qy": 0.013917029415654661,
                "qz": -0.818440972734323,
                "qw": 0.5744205119534879,
            },
        },
        "default_z": -1,
    },
]

attributes = {"frames": frames}

sample = client.add_sample(dataset, name, attributes)