MPII Human Pose Dataset

Describe the dataset

Add MPII Human Pose Dataset dataset to Hub. So this would work.

import hub
ds = hub.load("username/mpii-human-pose-dataset")

Steps

1. Please take a look at the docs on uploading datasets.

2. Uploading script should be added to examples folder

Example

You can find an example of large dataset loading and upload here:

• https://github.com/activeloopai/Hub/blob/master/examples/coco/upload_coco2017.py

[sanchitvj]

Yes I’m working on it.

On Wed, Oct 21, 2020, 11:20 AM mikayelh <[e-mail] wrote:

Hi, @sanchitvj https://github.com/sanchitvj ! Hope this finds you well. Dropping a note to check in on you an ask if you need a hand with uploading the dataset. Feel free to ask us in the GitHub Discussions https://github.com/activeloopai/Hub/discussions (we have beta access!) or our dedicated Slack channel https://join.slack.com/share/zt-ihfwn0s4-4dmI6BzPq6tqvVdEWq9kIg. Thanks a mil!

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/activeloopai/Hub/issues/106#issuecomment-713320434, or unsubscribe https://github.com/notifications/unsubscribe-auth/ANCEKBOUEUILZJUK2XY5PSDSLZZBVANCNFSM4SVU5C6A .

[AbhinavTuli]

@sanchitvj sorry for getting back to you so late, somehow missed this. The purpose of the generator class is to take a single item from a list and return a dictionary of numpy arrays. The dictionary will contain separate keys corresponding to each feature of the dataset(i.e. for images and for all the different annotations in MPII). You don’t really need to go too much into how hub collections work for this. Did you get a chance to go through the tutorial :- https://github.com/activeloopai/Hub/discussions/125? Also, take a look at this example :-https://github.com/activeloopai/omdena-aerial/blob/master/store_omdena.py, it’s a little easier to understand than the COCO example. If it’s still not clear, do join our dedicated Slack channel and we can set up a call to discuss in detail.