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question about fast run #75

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pansanity666 opened this issue Oct 9, 2022 · 11 comments
Closed

question about fast run #75

pansanity666 opened this issue Oct 9, 2022 · 11 comments

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@pansanity666
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pansanity666 commented Oct 9, 2022

Hi,
The waymo dataset is too large. Is it possible to run the code without downloading the waymo dataset, e.g., a lightweight demo? (I only want to know the implementation details about the code so that I can better use it, e.g., input and output shape of each function.)
Best,

@Abyssaledge
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Yes, you could download a single waymo data file here.
After that we could provide a pretrianed model.

@pansanity666
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Yes, you could download a single waymo data file here. After that we could provide a pretrianed model.

Thank you for you reply! But the 'download' button on your provided website is gray and can not be clicked. Dont know specifically how to download this file. Is there download link from google drive etc?
Best,

@Abyssaledge
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You could refer to the individual files in this page

@pansanity666
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You could refer to the individual files in this page

Thanks. The individual file can be downloaded after registration.
Next, should I process the individual file following the same procedure as in mmdetection3d?

@Abyssaledge
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I recommend to follow their documents but use the code in this repo to process the data, due to official MMDet3D update the coordinates system.

@pansanity666
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pansanity666 commented Oct 9, 2022

I recommend to follow their documents but use the code in this repo to process the data, due to official MMDet3D update the coordinates system.

Thanks. The mini-dataset has been ready by little modification on the data converter script. Well, where should I get the pre-trained checkpoint then? (If I have not missed something in README.md.)
Best,

@Abyssaledge
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Just give me your email and I will send you a private link.

@Abyssaledge
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Could you show me the email at this page? The email address will be blocked if you reply via email.

@pansanity666
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pansanity666 commented Oct 10, 2022

Could you show me the email at this page? The email address will be blocked if you reply via email.

xiaopan@zju.edu.cn, Thanks!

@Abyssaledge
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I have sent you the link.

@pansanity666
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I have sent you the link

Appreciated!

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