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Custom dataset #9
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Thanks for your interest. It's hard to say how well the model will work in the zero-shot scene, and we didn't test that. Maybe it's better to train on your custom dataset? |
Unfortunately is a private custom dataset with no annotation, so it might be quite difficult to get these annotations. |
Or this issue could be caused by images only? Because i have seen that lidar2img transformation matrix are used to construct some anchor points. But I am using the same lidar2img matrices in another algorithm and apparently those are correct. |
Are you meeting some problems when deploying the pretrained weights? There will be many factors to affect the performance. For example, 1) how is the image data normalized and preprocessed? 2) is the can_bus-like information aligned well with our processing (eg. the same units)? 3) is the distribution shift of your custom dataset from nuScenes severe? etc. |
I have tested your algo with can_bus data all equal to zeros and it works the same (I am using the simple version of the model). Moreover i am using the same preprocessing technique of yours, I didn't change anything. |
Hello, I would like to run your model on a custom dataset.
I am not quite sure besides the 6 RGB images and can bus could affect the result of your algo.
Do you think that just the domain shift in the video could impact the result that bad?
I would simply like to run it on multi-view images (I have all transformations and imu data).
Thank you!!
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