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A tool to download waymo open dataset (https://github.com/waymo-research/waymo-open-dataset) and convert it from TFrecord to general format

Python 100.00%

waymo-dataset-tool's Issues

Bugs occur when running gsutil cp

Hello, thanks for your kindness sharing! When I run your code, a bug occur when it goes gsutil cp gs://waymo_open_dataset_v_1_0_0/validation /validation_0000.tar ./ , which outputs ServiceException: 401 Anonymous caller does not have storage.objects.get access to waymo_open_dataset_v_1_0_0/validation/validation_0000.tar. It seems like I don't have permission to get data. Could you give me a hand? Thank you.

You are not converting the calibration files?

Hello. Can you please also convert the calibration files. I tried to do it myself but, due to waymo using different reference axis as compared to kitti, I was unable to store the extrinsic and intrinsic parameter matrices (P2 and Tr_velo_to_cam) correctly.

len(labels) == 0

In convert_tfrecord.py, labels = frame.camera_labels where the labels is always [].

Dataset size

I am assuming that this is a 2d object detection dataset that would be downloaded? I am wondering about the size of the dataset? How big would the dataset be? I have 500 GB in my system? Will it fit? As I read that the original dataset in 2 TB, however I believe that it has everything including pointclound and lidar, however I only need 2D object detection.

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