imgbeddings
depthai-python
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imgbeddings | depthai-python | |
---|---|---|
8 | 2 | |
122 | 333 | |
- | 1.2% | |
0.0 | 9.4 | |
about 2 years ago | 3 days ago | |
Python | C++ | |
MIT License | MIT 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.
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
depthai-python
- FLaNK Stack Weekly for 20 Nov 2023
-
Full-body tracking in VR using AprilTag markers
The Luxonis OpenCV AI Kit (OAK) project team is also actively implementing AprilTags [1] and my understanding is it will handle Tag Detection and Pose Estimation on the camera.
[1] https://github.com/luxonis/depthai-python/pull/298
What are some alternatives?
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
April-Tag-VR-FullBody-Tracker - Full-body tracking in VR using AprilTag markers.
TwoPhotosOnA6x4 - Stitches 2 photos for printing on a 6"x4" photo.
awesome-public-real-time-datasets - A list of publicly available datasets with real-time data maintained by the team at bytewax.io
FLaNK-EveryTransitSystem - Every transit system
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
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)
ai-exploits - A collection of real world AI/ML exploits for responsibly disclosed vulnerabilities
dalle2-in-python - Use DALLĀ·E 2 in Python
automq - AutoMQ is a cloud-native fork of Kafka by separating storage to S3. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.