Meshroom VS zpy

Take a look at Meshroom from https://alicevision.org/

It's a pretty decent tool, although not sure if videos work well.

I once tried to build a mesh from an aerial video by extracting certain frames and the result was ok-ish

You'll need to get some practice with photogrammetry or other 3D scanning to get the appropriate shapes for each animal, this should be more or less something the right size with adequate straps and padding - https://alicevision.org is a good place to learn about photogrammetry.

Have you tried Alice Vision? https://alicevision.org

Huh. https://github.com/alicevision/meshroom/issues/1650 suggests you can get the camera positions into blender, and then putting pyramids views in, and then get the interested area.

Another alternative for ptgui is https://alicevision.org and it is free

A new version of Meshroom released last month, so I decided to compare the performance and results of the two with the same dataset and mostly the same settings.

Photogrametrie https://alicevision.org/

This is actually a great problem for synthetic data. You can make a synthetic dataset of colored cubes on different backgrounds using something like Unity or zpy (shameless plug). The synthetic data will be much larger and more varied than one you create & label by hand.

I'm sort of in the same boat. I just discovered this very interesting package called zpy that's meant to help automate turning synthetic conditions into training data. I have some experience with Python and am fairly new to Blender, but I could probably get as far as making a good segmented dataset.

Thanks for getting this far! If you’re interested in 3D and what it can do for synthetic data, check out our open-source data development toolkit zpy. Everything you need to generate and iterate synthetic data for computer vision is available for free. Your feedback, commits, and feature requests are invaluable as we continue to build a more robust set of tools for generating synthetic data. In the meantime, if you need our support with a particularly tricky problem, please reach out.

I work at Zumo Labs, where we create synthetic data for computer vision using zpy (github.com/ZumoLabs/zpy).

The easiest way to get started with zpy (available on GitHub) is to follow the steps outlined in this short video tutorial series.

Tools that make synthetic data generation easy are fundamentally changing the way machine learning work is done. Iterating and improving the dataset over the course of a project is more important to project success than iterating the model architecture. That's why we are releasing zpy, an open source synthetic data toolkit. All developers should have the option of working with dynamic data rather than static data.

https://github.com/ZumoLabs/zpy We just released our open source synthetic data toolkit built on top of Blender. Our package makes it easy to design and generate synthetic data for computer vision projects. Let us know what you think and what features you want us to focus on next!

https://github.com/ZumoLabs/zpy We just released our open source synthetic data toolkit built on top of Blender. Our package makes it easy to design and generate synthetic data for computer vision projects. Let us know what you think and what features you want us to focus on next!