Mask_RCNN VS Moby

The most widely used algorithms for classical feature detection today are "whatever opencv implements"

In terms of tech that's advancing at the moment? https://co-tracker.github.io/ if you want to track individual points, https://github.com/matterport/Mask_RCNN and its descendents if you want to detect, say, the cover of a book.

Mask R-CNN

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- Mask RCNN https://github.com/matterport/Mask_RCNN (open source, so also not Palantir's)

pip install git+https://github.com/matterport/Mask_RCNN

It is important to realize that to do its masking procedures, Hent-AI uses the Mask RCNN (MRCNN) package from Matterport. The problem with this version of MRCNN is that it is not compatible with Tensorflow 2.X versions, essentially limiting Hent-AI compatibility to strict Tensorflow 1.X versions. Since Tensorflow 1.15 is the last of the Tensorflow 1.X versions and uses CUDA 10.0, which supports a maximum compute capability of 7.5, this means that the last NVIDIA GPU series that is compatible with the original Hent-AI implementation is the RTX 2000 series. This is, of course, not optimal since it means that RTX 3000 series and later GPUs cannot be used despite their significant computing power and high VRAM.

I read that it could bethe problem with scipy version (https://github.com/matterport/Mask_RCNN/issues/2122) so I downgraded it, I also tried to modify shift = np.array([0, 0, 1., 1.]) in utils.py but nothing helped.

I am assuming you did a pip install of this github repository, or did you run pip install mrcnn. The mrcnn package on pypi is just an example package and doesn't have any useful functionality. In addition, where did you get the code from that you are trying to run, from someone else or did you write it yourself? Reason I am asking is because the import error is to be expected since there indeed is no InferenceConfig class defined in mrcnn.visualize.

Hello AI learners, check out my own development of Mask-RCNN supporting Tensorflow2.7.0 and Keras2.8.0. This is an edit of MRCNN which supports Tensoflow1.0, only.

Having been featured in our February 2023, and January 2024 Release Radars, Moby is the original Linux Container runtime. This new version adds a bunch of changes to the Docker CLI and Moby itself with additional features. There's bug fixes and enhancements, with the main thing for users to be on the look out for containers that were created using Docker Engine 25.0.0. These containers might have duplicate MAC addresses, and thus must be recreated. The same goes for those containers created with Moby 25.0+ and with user defined MAC addresses. Read up on all these changes in the release notes.

Formlabs does this as well for their 3d printers, my earliest encounter of this was when Docker started getting popular: https://github.com/moby/moby/blob/master/pkg/namesgenerator/...

Try to use moby instead since that is the engine in Docker.

https://github.com/moby/moby

> Podman is designed to help with this by providing stronger default security settings compared to Docker. Features like rootless containers, user namespaces, and seccomp profiles, while available in Docker, aren't enabled by default and often require extra setup.

Seccomp has been enabled by default since 2015: https://github.com/moby/moby/pull/18780

It is true that Rootless isn't enabled by default but its "extra setup" can be done with a single command (`dockerd-rootless-setuptool.sh install`)

Perhaps.

Thing is, https://github.com/moby/moby/blob/670bc0a46c4ca03b75f1e72f73... is using https://github.com/mistifyio/go-zfs which features code like `out, err := zfsOutput("get", "-H", key, d.Name)` (Source: https://github.com/mistifyio/go-zfs/blob/master/zfs.go#L315) to get a single zfs property.

Somebody chose to use a library as abstraction that looks good but is implemented as a MVP (nothing wrong with that). "In the future, we hope to work directly with libzfs" should have raised an alarm somewhere, though.

AppArmor can restrict /proc and this is even used by docker: https://github.com/moby/moby/blob/master/contrib/apparmor/te...