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Source channel @githubtrending · Post #15062 · Aug 15

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#python#mllm#point_clouds#scene_understanding#spatial_intelligence SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications. https://github.com/manycore-research/SpatialLM

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The Kingfisher - Bitcoin & Crypto liquidations signals and analytics

@thekingfisher_btc · Post #3878 · 02/13/2025, 11:23 AM

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Liquidation Map Analysis 🗺️ 1️⃣ Main Liquidation Zones: -⬆️Shorts: 98064 -⬇️Longs: Around 95474 2️⃣ Key Price Levels: - Big clusters at 95474 & 98064. - Smaller clusters scattered, creating volatility potential. 3️⃣ Imbalance: - More short liquidations concentrated ⬆️ than long liquidations ⬇️ near current price. 4️⃣ Potential Moves: - Price could be drawn ⬆️ to clear short positions at 98064. - Downside risk to 95474, where long liquidations could fuel a drop. 5️⃣ Trader Takeaways: - 🤔 Avoid stops near 95474 & 98064! Potential stop hunts! - ⚠️ Be ready for volatility if price approaches these zones. -📈 A break above 98064 could trigger a short squeeze. -📉 A drop below 95474 could trigger long liquidations cascade. #trading#crypto#liquidation

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