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Francesco Zuppichini

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reacted to merve's post with ❤️ 4 days ago
A real-time object detector much faster and accurate than YOLO with Apache 2.0 license just landed to Hugging Face transformers 🔥 D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩 > Collection with all checkpoints and demo https://huggingface.co/collections/ustc-community/d-fine-68109b427cbe6ee36b4e7352 Notebooks: > Tracking https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb > Inference https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb > Fine-tuning https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb h/t @vladislavbro @qubvel-hf @ariG23498 and the authors of the paper 🎩 Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️ D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩 Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️ this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant.
liked a Space about 1 month ago
lllyasviel/iclight-v2-vary
liked a model about 1 month ago
nomic-ai/colnomic-embed-multimodal-7b
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