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🚀 PIPNet: One-Click Facial Landmark Detection 🎯

🔗 GitHub: Star ⭐ the Repo | 🎥 Watch Dem

🔥 Key Features:
✅ One-Click Inference – Just run & detect!
✅ High Accuracy (300W dataset) 📊
✅ ResNet-powered for robustness
✅ Supports training, testing & real-time demo 🎥

📌 Run Inference in One Click:
 python main.py --demo

📊 Performance:
🔹 ResNet101 (120 epochs) → 3.17 NME

🌟 Support Open Source! Star ⭐ & Share!

🔗 GitHub Repo

#AI #DeepLearning #FacialRecognition #PIPNet #OneClickInference 🚀

Computer Science and Programming
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🚀 PIPNet: One-Click Facial Landmark Detection 🎯

🔗 GitHub: Star ⭐ the Repo | 🎥 Watch Dem

🔥 Key Features:
✅ One-Click Inference – Just run & detect!
✅ High Accuracy (300W dataset) 📊
✅ ResNet-powered for robustness
✅ Supports training, testing & real-time demo 🎥

📌 Run Inference in One Click:
 python main.py --demo

📊 Performance:
🔹 ResNet101 (120 epochs) → 3.17 NME

🌟 Support Open Source! Star ⭐ & Share!

🔗 GitHub Repo

#AI #DeepLearning #FacialRecognition #PIPNet #OneClickInference 🚀
hottg.com/MachineLearning_Programming/327
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🚀 PIPNet: One-Click Facial Landmark Detection 🎯

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