rclip
nodejs-vision
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rclip | nodejs-vision | |
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17 | 48 | |
646 | 494 | |
- | - | |
8.7 | 7.3 | |
14 days ago | over 1 year ago | |
Python | TypeScript | |
MIT License | Apache License 2.0 |
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rclip
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35,000 photos, what to do?
The installation instructions are in the project README: https://github.com/yurijmikhalevich/rclip. I use the prebuilt executable option to install it on my Synology NAS.
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Apple - Fruit = X? rclip update: query combos and snapcraft, homebrew, and pypi releases
rclip source code is published on GitHub under the MIT license: https://github.com/yurijmikhalevich/rclip. Give it a try, and let me know what you think!
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I have like 1500 videos of me playing piano.. too many to go through manually to eliminate the inappropriate ones. Can ML help?
Use this command line project called rclip which is the easiest way to use CLIP models on your local folders of images. It was written by /u/39dotyt (thanks again!).
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Can I Create my own AI Image Bank?
https://github.com/yurijmikhalevich/rclip https://mikhalevi.ch/rclip-an-ai-powered-command-line-photo-search-tool
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Can anybody advise open-sourced neural net model to tag/recognize photos on a harddrive?
The latter would be easy to use with https://github.com/yurijmikhalevich/rclip .
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Organizing 6 TB of random junk
For images rclip can give you search that's better than Google Photos with entirely unannotated data and pure natural English queries.
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AI powered image sorting/tagging/organising?
Google Photos can do this kind of searching for specific objects and combinations. I'm not sure if there is a tool that you can install locally that will do it. What we're probably looking for is a local image search engine powered by CLIP. Something like this, but with a GUI on Windows. It would be cool if tools like Eagle integrated CLIP into them, so you didn't have to manually tag everything, they were just auto-tagged with the content that is already in them. PhotoPrism might be the closest thing yet.
- Rclip: AI-Powered Command-Line Photo Search Tool Using CLIP
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Natural text to image search(without captions), using CLIP model. Notebook in comment.
Indexing was done with this other guy's github project. It was convenient because it automatically handles things like "continue where it left off".
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Using CLIP to score multiple images against a single string.
It's based on https://github.com/yurijmikhalevich/rclip who posted his project here a while ago.
nodejs-vision
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GitHub Is Sued, and We May Learn Something About Creative Commons Licensing
Google also used all of this to improve their OCR algorithms, almost certainly used in Google Cloud Vision[0], but I doubt this was a consideration when deciding if it was transformative/fair use.
0: https://cloud.google.com/vision
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API that describes/labels images
You are looking for a computer vision object recognition api, and there are several, all of which cost money. Here are a couple Google’s Microsoft’s
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Unique images help - right?
For an example, Google Cloud API which can read images even facial expression and much more and also can differentiate which Image is violating google terms and condition like - pronographic image
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Just realized my algo is useless in live markets using heikin ashi
tool/software = https://cloud.google.com/vision
- MIERUKO CHAN CHAPTER 46
- [DISC] Mieruko-chan - Ch 46
- [DISC] Rosen Garten・Saga - Episode29「出番 〜Persona〜」 RAW
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I didn’t lose a grey mid.. so is this fake or am I crazy and just can’t remember?
I think you’re underestimating how good OCR tech is. Yeah, shitty penmanship will be harder for software to interpret just as it is for the human eye, but legible ink isn’t much of a problem. I just tried scanning my number off my discs and my iPhone digitized it without issue. This technology is essentially made for digitizing handwritten text. Try it yourself if you’d like: https://cloud.google.com/vision
- GMB is Rejecting Everything for Us - Is This the New Normal or a Glitch?
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Discussion - Raw japanese scans - Chapter 66 - Kemono Jihen / 怪物事変
you guys can use this website to extract the japanese texts from the manga pages : https://cloud.google.com/vision/ , then you can google-translate the texts .
What are some alternatives?
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
open_nsfw - Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
faiss - A library for efficient similarity search and clustering of dense vectors.
sdcompare - A-B voting tool for images
streamlit - Streamlit — A faster way to build and share data apps.
B3 - Best Buy purchase bot
forgefed - ForgeFed - Federation Protocol for Forge Services
pyvirtualcam - 🎥 Send frames to a virtual camera from Python
google-cloud-ops-agents-ansible - Ansible Role for Google Cloud Ops