TwoPhotosOnA6x4
imgbeddings
TwoPhotosOnA6x4 | imgbeddings | |
---|---|---|
1 | 8 | |
0 | 122 | |
- | - | |
3.9 | 0.0 | |
about 1 year ago | about 2 years ago | |
Python | Python | |
- | MIT License |
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TwoPhotosOnA6x4
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I made a Python script for stitching 2 photos onto a 6"x4"
In case someone else finds this useful, here's the script. You combine the files by dragging and dropping them onto the script.
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
What are some alternatives?
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exif_delete - Secure your photographs by stripping them of all the EXIF data.
FLaNK-EveryTransitSystem - Every transit system
nider - Python package to add text to images, textures and different backgrounds
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
dalle2-in-python - Use DALLĀ·E 2 in Python
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
StyleTTS2 - StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
awesome-public-real-time-datasets - A list of publicly available datasets with real-time data maintained by the team at bytewax.io
memq - MemQ is an efficient, scalable cloud native PubSub system