HOG Intuition | Simple Explanation | Feature Descriptor & Engineering
🔥 Simplest explanation of Histogram of Oriented Gradients (HOG) & building HOG representation for real image data. We will understand the high-level logic through an example in this short video. Happy learning! 🔥 At Skillcate, we give you hands-on experience of industry ready projects having real-life complexity and solve them end-to-end for you. Along the way, we will share Do-It-Yourself kits with you, having: -- 1. dummy business case, -- 2. problem dataset, -- 3. python code, -- 4. business analysis tools, for you to solve these problems yourself. Needless to say, you may always reach out to us for any help you may need to achieve your objectives, by commenting below or through our contact details provided in the description part below. Do like, share & subscribe to our channel. 🔥 Keep in touch: Website: https://www.skillcate.in LinkedIn: / 67209084 Email: [email protected]
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![Lecture 9.3: Features [Histogram of Gradients] [HOG]](https://i.ytimg.com/vi/92-NaIdIrEs/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4JgALQBYoCDAgAEAEYfyAcKBwwDw==&rs=AOn4CLBtxir7UNau4iYgXqVHhuQ53fEOJg)
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Histograms of Oriented Gradients (HOG)
