flyscrape
imgbeddings
flyscrape | imgbeddings | |
---|---|---|
7 | 8 | |
980 | 122 | |
- | - | |
8.6 | 0.0 | |
2 months ago | about 2 years ago | |
Go | Python | |
Mozilla Public License 2.0 | MIT License |
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flyscrape
- Show HN: Flyscrape β A command-line web scraper for non-expert programmers
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Web Scraping in Python β The Complete Guide
Shameless plug:
Flyscrape[0] lets you eliminate a lot of boilerplate code that is otherwise necessary when building a scraper from scratch, while still giving you the flexibility to extract data that perfectly fit your needs.
It comes as a single binary executable and runs small JavaScript files without having to deal with npm or node.
You can have a collection of small and isolated scraping scripts, rather than full on node projects.
[0]: https://github.com/philippta/flyscrape
- FLaNK Stack Weekly for 20 Nov 2023
- FLaNK Stack Weekly for 13 November 2023
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Show HN: Flyscrape β A standalone and scriptable web scraper in Go
Thanks for sharing! Just a small nit: the links at the bottom of this page are broken [1].
[1]: https://github.com/philippta/flyscrape/blob/master/docs/read...
- Show HN: flyscrape β An expressive and elegant web scraper
imgbeddings
- FLaNK Stack Weekly for 20 Nov 2023
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Content-Based Image Retrieval
Seconding the recommendation of CLIP embeddings, especially compared to image histograms + requiring OpenCV.
I wrote a naive, minimal dependency Python package to calculate image embeddings (https://github.com/minimaxir/imgbeddings) with some lookup demo notebooks and it works well in a pinch, although it's due for an upgrade.
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How to build a working AI only using synthetic data in just 5 minutes
Normally, this is Hacker News reductiveness, but yes, image classification via CLIP is that easy, especially with Hugging Face's API for it: https://huggingface.co/docs/transformers/model_doc/clip
I created a Python package to generate image embeddings from CLIP's vision model (without requiring a ML framework), and a simple linear classifier on those embeddings does the trick: https://github.com/minimaxir/imgbeddings
- GitHub - minimaxir/imgbeddings: Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
- Show HN: Python package to create image embeddings without PyTorch/TensorFlow
- I've released a Python package which lets you generate vector representations of images clustering/similarity search/classifier building with a twist: neither PyTorch nor TensorFlow is used!
- [P] I've released a Python package which lets you generate vector representations of images with a twist: neither PyTorch nor TensorFlow is used!
- Show HN: Python package to create image embeddings with o PyTorch/TensorFlow
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