In pytorch-jacinto-ai-devkit Multi task Network document, it provides Optical flow repository and Motion repository to download.
But I can't go to the link to download the data for training.
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In pytorch-jacinto-ai-devkit Multi task Network document, it provides Optical flow repository and Motion repository to download.
But I can't go to the link to download the data for training.
Hi,
It's also failed if I use git clone for the repository. See the result below.
I also double checked my environment with "git clone git.ti.com/.../pytorch-jacinto-ai-devkit.git". It's OK.
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$ git clone bitbucket.itg.ti.com/.../browse
Cloning into 'browse'...
fatal: unable to access 'bitbucket.itg.ti.com/.../': Could not resolve host: bitbucket.itg.ti.com
$ git clone bitbucket.itg.ti.com/.../
Cloning into 'cityscapes_motion_dataset'...
fatal: unable to access 'bitbucket.itg.ti.com/.../': Could not resolve host: bitbucket.itg.ti.com
$ git clone bitbucket.itg.ti.com/.../leftimg8bit_flow_farneback_confidence
Cloning into 'leftimg8bit_flow_farneback_confidence'...
fatal: unable to access 'bitbucket.itg.ti.com/.../': Could not resolve host: bitbucket.itg.ti.com
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$ git clone git.ti.com/.../pytorch-jacinto-ai-devkit.git
Cloning into 'pytorch-jacinto-ai-devkit'...
remote: Enumerating objects: 983, done.
remote: Counting objects: 100% (983/983), done.
remote: Compressing objects: 100% (973/973), done.
remote: Total 1297 (delta 668), reused 25 (delta 0), pack-reused 314
Receiving objects: 100% (1297/1297), 891.43 KiB | 271.00 KiB/s, done.
Resolving deltas: 100% (771/771), done.
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Hi,
We have not publicly released the repository cityscapes_motion_dataset which contains the optical flow and motion annotations. Currently the link points to our internal repository used for our experiments.
However the source code of pytorch-jacinto-ai-devkit is available and you can see how we are doing the MultiTask training.
You can apply it to your dataset of interest. If you have a specific technical question about it, we will be happy to answer.
Best regards,
Manu