Face and basic landmarks detection using mediapipe models with efficiency and very good accuracy and draw on image or save detected faces using opencv in python.
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Deep LearningA pseudonymous 15-billion parameter model just revolutionized AI video generation. By processing audio and 1080p video in a single autoregressive sequence, HappyHorse-1.0 eliminates cascaded pipelines entirely.
Machine LearningNovita AI has partnered with Hugging Face to introduce instantaneous API deployments for open-source models. Discover how to bypass complex GPU infrastructure and deploy models like Gemma 4 into production in seconds.
LLMMiniMax-M2.7 introduces a groundbreaking recursive self-optimization framework that allows the model to actively participate in its own evolution. By autonomously generating evaluation data and synthetic training examples, it achieves massive performance gains without relying on human annotation.
LLMDiscover how MemPalace uses a structured, tiered 'memory palace' architecture to provide persistent cross-session memory for LLMs. This deep dive explores how dynamic context loading slashes token costs and recently shattered the LongMemEval benchmark.
LLMMistral 4 introduces a groundbreaking 119B parameter MoE architecture unifying reasoning, coding, and multimodal capabilities. Discover how its massive 256k context window and Hugging Face integration are shifting the open-weights landscape.
Deep LearningMinerU 2.5 introduces a novel coarse-to-fine visual parsing strategy that accurately converts complex PDFs into LLM-ready Markdown. We explore how its highly optimized 1.2 billion parameter architecture solves the unstructured data crisis for advanced AI workflows.
Deep LearningHugging Face recently proved that industrial-scale document parsing is no longer cost-prohibitive. We explore how the open-source Chandra-OCR-2 model converted 27,000 complex arXiv papers into Markdown for just $850.
Deep LearningDiscover how the trending Auto Deep Researcher 24x7 framework uses a Leader-Worker architecture to write, run, and debug your PyTorch deep learning pipelines entirely autonomously.
Deep LearningMicrosoft has open-sourced Harrier, a massive 27B parameter embedding model family that directly outperforms OpenAI and Google. Explore how this multilingual powerhouse reshapes enterprise RAG and semantic search.
