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Source channel @githubtrending · Post #14949 · Jul 12

#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7

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Dishes.Cooking.Food

@cookingdish · Post #604 · 12/05/2024, 03:50 PM

Fillo Quiche Cups Recipe🥚🥓🧈 Perfect for brunch or appetizers! Ingredients: Fillo Dough Shells: 📜 250g Fillo pastry sheets 🧈 50g butter, melted Filling: 🥓 200g Pancetta or bacon, diced 🥚 10 Large eggs 🌿 50g Fresh chives, chopped 🧂 Salt/Pepper to taste 🧀 150g Swiss & Gruyere cheese 🧀 150g Fresh Mozzarella cheese, sliced ⚪️ Sesame seeds Instructions: 1️⃣ Preheat oven to 190°C (375°F). 2️⃣ Cut fillo sheets into squares, brush each layer with melted butter, and stack them in a muffin tin. 3️⃣ In a bowl, whisk eggs 🥚, add pancetta 🥓, chives 🌿, and cheese 🧀. Season with salt and pepper 🧂. 4️⃣ Pour mixture into fillo shells, top with mozzarella slices, and sprinkle sesame seeds ⚪️. 5️⃣ Bake for 15–20 minutes or until golden brown ✨. #EasyRecipes#BrunchGoals#MiniQuiches#CheeseLovers🥧 @dishes