supervision
LANDrop
supervision | LANDrop | |
---|---|---|
15 | 19 | |
14,673 | 4,660 | |
9.3% | 3.2% | |
9.9 | 0.0 | |
about 13 hours ago | over 1 year ago | |
Python | C++ | |
MIT License | BSD 3-clause "New" or "Revised" 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.
supervision
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Supervision: Reusable Computer Vision
You can always slice the images into smaller ones, run detection on each tile, and combine results. Supervision has a utility for this - https://supervision.roboflow.com/latest/detection/tools/infe..., but it only works with detections. You can get a much more accurate result this way. Here is some side-by-side comparison: https://github.com/roboflow/supervision/releases/tag/0.14.0.
- Supervision – reusable computer vision tools
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Ask HN: Who is hiring? (February 2024)
Roboflow | Open Source Software Engineer, Web Designer / Developer, and more. | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0224
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].
We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.
[1]: https://roboflow.com/?ref=whoishiring0224
[2]: https://roboflow.com/universe?ref=whoishiring0224
[3]: https://github.com/autodistill/autodistill
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0224
[6]: https://www.youtube.com/@Roboflow
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Image segmentation in huggingface
You'll need to plot the predictions. There are a few open source tools to do that, supervision is one you can use (https://github.com/roboflow/supervision) and opencv is another common option (https://github.com/opencv/opencv)
- Show HN: Supervision, reusable computer vision utilities
- FLaNK Stack Weekly 28 August 2023
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Show HN: Pip install inference, open source computer vision deployment
Thanks for the suggestion! Definitely agree, we’ve seen that work extremely well for Supervision[1] and Autodistill, some of our other open source projects.
There’s still a lot of polish like this we need to do; we’ve spent most of our effort cleaning up the code and documentation to prep for open sourcing the repo.
Next step is improving the usability of the pip pathway (that interface was just added; the http server was all we had for internal use). Then we’re going to focus on improving the content and expanding the models it supports.
[1] https://github.com/roboflow/supervision
[2] https://github.com/autodistill/autodistill
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Show HN: VisionScript, abstract programming language for computer vision
a new, popular library for basic functionality (converting between annotation formats, evaluating models, doing object tracking) has been supervision: https://github.com/roboflow/supervision
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Ask HN: Who is hiring? (August 2023)
Roboflow | Multiple Roles | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0823
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].
We have several openings available, but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.
[1]: https://roboflow.com/?ref=whoishiring0823
[2]: https://roboflow.com/universe?ref=whoishiring0823
[3]: https://github.com/autodistill/autodistill
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0823
[6]: https://www.youtube.com/@Roboflow
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python tools to load, save, split, and convert computer vision datasets | link in comment
repository: https://github.com/roboflow/supervision documentation: https://roboflow.github.io/supervision
LANDrop
- LocalSend: Open-source, cross-platform file sharing to nearby devices
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Show HN: Retriever – Securely share secrets over the internet
Would like to give a shout out to LANDrop (not affiliated) if the users are on the local network. I use it. It's very good at saturating the link bandwidth and traffic is guaranteed not to exit the firewall.
https://github.com/LANDrop/LANDrop
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Localsend: Open-Source Airdrop Alternative
Related projects:
- FlyingCarpet: direct transfer over local adhoc WIFI: https://github.com/spieglt/FlyingCarpet
- LANDrop: Drop any files to any devices on your LAN: https://github.com/LANDrop/LANDrop
- In-browser file transfer similar to Airdrop: https://snapdrop.net/
- Magic Wormhole: simple file transfer from computer-to-computer over the net: https://github.com/magic-wormhole/magic-wormhole
- Croc: similar to magic wormhole: https://github.com/schollz/croc
- Wormhole: user-friendly in-browser based e2e encrypted file transfer: https://wormhole.app/
- FLaNK Stack Weekly 28 August 2023
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LANDrop – Drop any files to any devices on your LAN
Looks like it is not. Maybe someone wants to maintain a fork.
https://github.com/LANDrop/LANDrop/issues/138
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trying to organize study material on ipad
iCloud Drives doesn’t break your file structure, you just drop the whole folders to the iCloud Drives, let it sync, and move them out of iCloud Drive to the internal storage on your iPad. Alternatively there’s plenty of other apps that can do local transfer, like https://landrop.app/. Use another cloud drive service like google drives. Or setup file server on your Mac with SMB and connect it on your iPad: https://support.apple.com/en-us/guide/mac-help/mh17131/10.13/mac/10.13
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AirDrop to Windows PC - Unified Re-release (Send Images, Movies, Links, Files, Text)
i just use LANDrop. its free and has no size limitations.
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Sharing files between ARCH->ANDROID
=> https://landrop.app/
- Can i send files through email directly to my boox device instead of sending them through the BooxApp?
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KDE Connect / Air drop equivalent for Elementary OS 6.1
I've looked... but its seems there isn't an application based solution without requiring app indicator support which is something that eOS doesn't officially have. If you're comfortable modding eOS to have app indicator support you can then use LanDrop or use KDE Connect with an app indicator. You can also use sharedrop.io or snapdrop.net.
What are some alternatives?
refact - WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding
snapdrop - A Progressive Web App for local file sharing
seamless_communication - Foundational Models for State-of-the-Art Speech and Text Translation
localsend - An open-source cross-platform alternative to AirDrop
opencopilot - 🕊️ Build and embed open-source AI Copilots into your product with ease
snapdrop-android - Android client for local file sharing via https://snapdrop.net/ and https://pairdrop.net
shell-ai - LangChain powered shell command generator and runner CLI
servefile - serve or receive files from shell via a small HTTP server
FaceFusion - Next generation face swapper and enhancer
sharik - Sharik is an open-source, cross-platform solution for sharing files via Wi-Fi or Mobile Hotspot
visionscript - A high-level programming language for using computer vision.
syncthing-android - Wrapper of syncthing for Android.