Mask_RCNN
cli
Mask_RCNN | cli | |
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28 | 253 | |
24,169 | 35,449 | |
0.5% | 0.9% | |
0.0 | 9.7 | |
4 days ago | 1 day ago | |
Python | Go | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Mask_RCNN
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Intuituvely Understanding Harris Corner Detector
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.
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Analyze defects and errors in the created images
Mask R-CNN
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List of AI-Models
Click to Learn more...
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Thought Dump About Recent AI Advancements And Palantir
- Mask RCNN https://github.com/matterport/Mask_RCNN (open source, so also not Palantir's)
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Why are python dependencies so broken?
pip install git+https://github.com/matterport/Mask_RCNN
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DeepCreamPy & Hent-AI Guide: Installation and anime censorship removal (Version 2)
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.
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[P] Mask R-CNN (matterport) does not generate masks or just generates them randomly
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.
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Mask RCNN importing error
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.
- Maskrcnn - Mask r-cnn for object detection and segmentation
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MRCNN TF==2.7.0
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.
cli
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The power of the CLI with Golang and Cobra CLI
This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.
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pyaction 4.28.0 Released
This Docker image is designed to support implementing Github Actions with Python. As of version 4.0.0., it starts with the official python docker image as the base which is a Debian OS. It specifically uses python:3-slim to keep the image size down for faster loading of Github Actions that use pyaction. On top of the base, we've installed curl gpg, git, and the GitHub CLI. We added curl and gpg because they are needed to install the GitHub CLI, and they may come in handy anyway (especially curl) when implementing a GitHub Action.
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The Ladybird Browser Project
You might be interested in GitHub's cli tool, which is open source, if you want to access GitHub without running their proprietary JS code.
https://cli.github.com/
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Ok Boomer! Instant GitHub Repo Creation in One Command 🚀
👉 Note: This script uses the GitHub CLI. So make sure you've installed that if you haven't already. Instructions here.
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Essential Command Line Tools for Developers
View on GitHub
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NixOS has one fatal flaw
(Context: I'm pretty thick into Nix, and have been for about four years. Most of this post is focussed on the NixOS desktop experience, so DevOps nerds, ymmv.)
Unpopular opinion: Nix is not that hard.
What's "hard" from a nix-promotion strategy is motivating people to understand why they would want the benefits it offers. Mostly because Nix, especially with home-manager, dramatically worsens UX for several day-to-day tasks, simply by violating the Law of Least Surprise every couple of hours in normal use.
I want a fully idempotent, version-locked, rewindable user environment, with a version-controlled central config, because I have half a dozen devices that, for reasons, I need to keep perfectly interchangeable with one another. Most users do not want this, for the simple fact that mutating their configs and differentiating them locally on specific machines is not a bug, but a feature.
Even more than that, it's an expectation that most software developers share as well.
Case in point: I filed a bug against the GitHub CLI last week. If any org has the scope and motivation to build software that's compatible with NixOS, an OS most of whose users are developers, it should be GitHub, which is, at least notionally, all about developers, developers, developers. A change in GH required a config format migration, which was sensibly done by opening the config .yml and rewriting it.
Of course, this breaks NixOS not just in practice but in principle. NixOS/home-manager makes config files read-only. Surprise! https://github.com/cli/cli/issues/8462
The response from GitHub was basically, "yeah, we knew this was going to happen, we mentioned it to the packagers at NixOS, but we did it anyway, because it was still the best way to proceed for us." (And they weren't wrong.)
Now, once a month is an annoyance, but I run into these problems daily. I can't imagine any sane person -- which I am not -- would persist with using it.
Why do I keep using NixOS, then? Because I am terribly and disproprotionately annoyed by small changes in my user experience, which I find disruptive to my workflow and hence threaten my success. For me, forbidding apps from mutating the config files I established for them is a selling point. Being able to version-control an idempotent declarative config for all of them at once is heaven.
Unless you're like me, you'll hate NixOS. But some were meant for Nix.
Because
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How do you handle secret rotation in kubernetes (i. e. with github access tokens)
To use a proper dynamic auth for ghcr.io you can create a "credential helper" and then it is supported by flux, see here: https://fluxcd.io/flux/cheatsheets/oci-artifacts/#authentication Unfortunately the "official" credential helper for ghcr.io doesn't exist. I use this simple script as a helper: https://gist.github.com/pkit/a98411d21ecc9293066f4579088187d1 Which requires gh cli to be installed.
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pyaction 4.27.0 Released
This Docker image is designed to support implementing Github Actions with Python. As of version 4.0.0., it starts with the official python docker image as the base which is a Debian OS. It specifically uses python:3-slim to keep the image size down for faster loading of Github Actions that use pyaction. On top of the base, we've installed curl gpg, git, and the GitHub CLI. We added curl and gpg because they are needed to install the GitHub CLI, and they may come in handy anyway (especially curl) when implementing a GitHub Action.
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Everything I install and set up on a new MacBook as a web developer
Two CLI tools I install right away are the GitHub CLI (via brew) and the Netlify CLI (via npm).
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I (kind of) killed Mercurial at Mozilla
From the second article, a minor point but possibly helpful to other here, he contrasts doing everything in the terminal with stacked commits vs going to the Github UI. If people aren't aware, Github offers a cli tool[1]. I've been using it for a few months now and am finding it does make me more productive -- it's nice to be able to open up a PR directly from my terminal. I do still use the GH UI for a lot of things, but I'll often at least start in the terminal, and it also makes the transition from terminal to browser easy as many commands support the `--web` flag open up the right page for you (eg `gh repo view --web`).
[1] https://cli.github.com/
What are some alternatives?
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
cobra - A Commander for modern Go CLI interactions
yolact - A simple, fully convolutional model for real-time instance segmentation.
gh.vim - Vim/Neovim plugin for GitHub
mmdetection - OpenMMLab Detection Toolbox and Benchmark
glab - The GitLab CLI tool. Archived: now officially adopted by GitLab as the official CLI tool and maintained at https://gitlab.com/gitlab-org/cli. See https://github.com/profclems/glab/issues/983
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
vscode-dev-containers - NOTE: Most of the contents of this repository have been migrated to the new devcontainers GitHub org (https://github.com/devcontainers). See https://github.com/devcontainers/template-starter and https://github.com/devcontainers/feature-starter for information on creating your own!
Mask-RCNN-training-with-docker-containers-on-Sagemaker
octo.nvim - Edit and review GitHub issues and pull requests from the comfort of your favorite editor
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.