Mask_RCNN
kb
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Mask_RCNN | kb | |
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28 | 8 | |
24,146 | 3,091 | |
0.9% | - | |
0.0 | 3.0 | |
24 days ago | 6 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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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.
kb
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Ask HN: Can I see your cheatsheet?
My team has a shared knowledge base set up via kb: https://github.com/gnebbia/kb
Itβs like a group-maintained collection of cheatsheets. The git sync is buggy but Iβve made it work.
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How to become an advanced Linux user?
Learning requires repetition and the assembling of information into knowledge... the resources people have shared contain information, you need a tool to help you assemble that information into working knowledge. Vimwiki and kb are decent ways of documenting the things you learn, and more importantly the things you've done but not necessarily learned.
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Knowledgebase tools
Ok. Spontaneously, https://github.com/gnebbia/kb would come to my mind. But as far as I know, that doesn't support Markdown. And I can't say whether there is a package for NixOS.
- Kb β a minimalist CLI knowledge base manager
- kb - a minimalist knowledge base manager for security professionals - 0.1.6 is out! Lots of new features!
- kb - a minimalist command line knowledge base manager 0.1.6 is out! Lots of new features!
- kb - A minimalist knowledge base manager for security professionals 0.1.6 is out! Lots of new features!
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Top 10 Developer Trends, Thu Sep 24 2020
gnebbia / kb
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.
web - ALG Website Source Code
yolact - A simple, fully convolutional model for real-time instance segmentation.
core - π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
cheatsheet - π A compendium of CLI commands I can't stop looking up
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
TiddlyWiki - A self-contained JavaScript wiki for the browser, Node.js, AWS Lambda etc.
Mask-RCNN-training-with-docker-containers-on-Sagemaker
awesome-cli-apps - π₯ π πΉ π A curated list of command line apps
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
Google Test - GoogleTest - Google Testing and Mocking Framework