Training data

[ChanganVR]

Hi Nikhil,

Thank you for sharing the code! However, I can't find any information about downloading the data. Could you share more details of that?

Thanks, Changan

[nikhilsinghmus]

Hi Changan! Thanks for writing; we're still working on making it available, but in the meantime I'd be glad to share a version directly if that would be useful. Let me know!

Best, Nikhil

[ChanganVR]

Hi Nikhil,

That would be great! My email address is [email protected]. Could you send the instructions to access the data to my email? Thanks a lot!

Changan

[nikhilsinghmus]

Just sent!

[yyf17]

@nikhilsinghmus Hi Nikhil, Thank you for sharing the code and wonderful work!
Could you share more details of that downloading the data? My email address is [email protected]. Could you send the instructions to access the data to my email? Thanks a lot!

yyf17

[nikhilsinghmus]

Hi @yyf17, thank you for your kind words! Just sent a link with instructions, feel free to reach out with any questions.

[yyf17]

@nikhilsinghmus Thank you!

[EdoSiggi]

Hi Nikhil, thanks for this code, it's an amazing project! Could you share the training data to make the model work? I leave here my email address: [email protected] . Thank you very much!

[nikhilsinghmus]

Hi @EdoSiggi, thank you for the kind words! Just sent the dataset your way.

[EdoSiggi]

@nikhilsinghmus Thanks so much Nikhil! :)

[amiteliav]

Hi! thank you for your interesting work! is it possible to get the data too?

[nikhilsinghmus]

Hi @amiteliav, thank you! Just sent.

[catherine-qian]

hi，thanks for the impressive work. Coudl you please send the data to [email protected] as well? Thanks in advance.

[nikhilsinghmus]

Thank you, just sent!

[atsib]

Hi Nikhil, very interesting work! May I also ask you for the data? [email protected] Regards!

[nikhilsinghmus]

Thank you @atsib; sent!

[thc21h]

Hi Nikhil, Thanks for revealing the code. Can I get the data by e-mail? [email protected]

[nikhilsinghmus]

Hi @thc21h, just sent!

[anton-jeran]

Hi Nikhil,

Thank you for sharing the code. Could you please send me the data. My email is [email protected]

[nikhilsinghmus]

Thanks @anton-jeran, just sent!

[anton-jeran]

Thanks Nikhil for the quick reply. Could you also please share the command to test your trained model.

Also where can I download inputs for --encoder_path --depthmodel_path

[nikhilsinghmus]

@anton-jeran no problem! Links should be:

• encoder (Places365 ResNet50 model, not needed for testing)
• depthmodel (monodepth2 mono 640x192 model)

For testing, you can use python3 test.py --model <checkpoint> --test_dir <output_dir> to generate the outputs (we don't use its computed metrics). For metrics, the process is described in #25. If you have any questions, let me know.

[anton-jeran]

Thank you again :)

[isaac-ahlgren]

Hi Nikhil,

Nice stuff! Not sure if you have put the training data up somewhere to find it yet, but I can't seem to find it. If you have any time, could you please send it to [email protected]. I'd greatly appreciate it.

[nikhilsinghmus]

@isaac-ahlgren done, thank you!

[YHWmz]

Hi @nikhilsinghmus ,

Thanks for sharing your amazing work. Could you please send the data to [email protected] as well?

[nikhilsinghmus]

Thank you @YHWmz, sent!

[phycause]

Hi Nikhil, Thanks for your amazing work, it is really inspiring! Could you share the instructions to access the data to my email? My email is [email protected]. Thanks a lot!

[nikhilsinghmus]

Thank you @phycause, just sent it your way!

[Ali10038]

Hi Nikhil,

My email address is [email protected]. Could you send the instructions to access the data to my email? If it is possible, also the instructions of how could I load images of my own on the network and running it? Thanks a lot!

Ali

[nikhilsinghmus]

Hi @Ali10038, just sent both over!