electron-builder
Real-ESRGAN
electron-builder | Real-ESRGAN | |
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42 | 131 | |
13,361 | 26,111 | |
0.5% | - | |
9.3 | 2.7 | |
4 days ago | 22 days ago | |
TypeScript | Python | |
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.
electron-builder
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From a Day to 17 Minutes: How We’ve Dealt with Slow Build Times
The last step for each platform's build process is to upload the app to our GitHub releases repository. We automated this step from the beginning, but when we started creating builds for the new M1 chip Macs, we had to add a manual step. This involved merging files needed for the auto-updater to work with the M1 builds.
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Is macOS’s new XProtect behavioural security preparing to go live?
https://github.com/electron-userland/electron-builder/issues... that issue kinks to the PR that adds the automation.
It's a non-trivial thing to test, since it involves so many secrets and the notarization step can take over an hour, so I don't expect anyone here to actually want to look into it.
My original comment really was just venting my frustration, not a cry for help (but I might be crying soon if I can get to the bottom of this!).
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Uninstall the NightOwl macOS app now
> The ‘autoupdater’ does three things,
>
> - check the app for updates (using Sparkle)
> - report any crashes (using Sentry)
> - start a local HTTP proxy on port 40701 (this can be changed using the configuration json file in the app bundle).
>
> The latter is of course, not to be expected of any app on the machine, especially not one that just claims to be an auto updater.
Well, yes. And no.
For example, electron-builder [^0], a popular framework used for Electron app packaging and auto-updates, uses a local update server on Mac [^1] to add a more sane system backed by a more insane system, Squirrel.
[^0]: https://github.com/electron-userland/electron-builder
[^1]: https://github.com/electron-userland/electron-builder/blob/m...
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Looking for self-hosted auto update solution, working with GitLab.
The Project uses Electorn-Builder to package the app and Electorn-Updater to update.
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No keyboard? No problem. You can now use Bazecor without it! 😎
You can read about this issue here: https://github.com/electron-userland/electron-builder/issues/7114
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Spring Boot + Electron, a case study
Ostara is based off of electron-react-boilerplate and uses electron-builder to package the application.
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Electron - Not allowed to load local resource
Install electron and electron-builder
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Progress/Testing of code free I.F. engine
I believe Visual Studio Code uses Electron and posts releases on a regular basis. Maybe check their A quick Google search for "electron build github release" turns up "Electron Builder" https://www.electron.build/ I don't really know though; I've never used Electron.
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Is it worth bundling an Electron app with Puppeteer's Chromium if the main functionality is browser automation/scraper?
I also would like to have an NSIS installer so if it happens to package the Chromium executable along with my app, how can I accomplish that? I am using electron-builder.
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Can I build an electron app with just the binaries?
We use electron-builder at work.
Real-ESRGAN
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AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video
It's not exactly what you're after, as it's anime specific and you need to process the video yourself (eg disassemble to frames, run the upscaler, then assemble back to a movie file), but Real-ESRGAN is really good:
https://github.com/xinntao/Real-ESRGAN/
It's pretty brilliant for cleaning up very old, low resolution anime.
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Photorealistic Video Generation with Diffusion Models
Just a note you can run upscaling on your home desktop with Real-ESRGAN:
https://github.com/xinntao/Real-ESRGAN
- What software to use for upscaling anime edits
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What neural net for SISR?
Maybe Real-ESRGAN is a good fit? Even tho it's a couple of years old
- Cant make concurrent calls to Model
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Outis my beloved
I'm glad you noticed! I upscaled the icon from the wiki using Real-ESRGAN's 4xplus anime model, then photoshopped out the text. Worked far better than waifu2x.
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ComicMerge (Beta testing version - SafeTensors)
A: Try using High-res Fix and R-ESRGAN 4x+ Anime6B as upscaler
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Is there any way to upscale local files permanently using Nvidia's RT VSR?
Maybe try this one https://github.com/xinntao/Real-ESRGAN it may work even better.
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YOASOBI Idol [3840 x 2160]
Screenshotted from the official music video, upscaled to 4k using a state of the art ML model.
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Compilation of (almost) all end of chapter panels
Do you happen to remember which chapter has that "scene"? You could also try to enhance it yourself, I did it using Real-ESRGAN, which is really easy to use.
What are some alternatives?
cross-env
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
electronmon - 🖥 run, watch, and restart electron apps using magic
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
obs-studio - OBS Studio - Free and open source software for live streaming and screen recording
BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
concurrently - Run commands concurrently. Like `npm run watch-js & npm run watch-less` but better.
waifu2x - Image Super-Resolution for Anime-Style Art
iptvnator - :tv: Cross-platform IPTV player application with multiple features, such as support of m3u and m3u8 playlists, favorites, TV guide, TV archive/catchup and more.
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset