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Implemented a 5x5 Gaussian filter, 3x3 Sobel X and 3x3 Sobel Y, generated a gradient magnitude image from the X and Y Sobel images, blurred and quantized a color image, did live video cartoonization, put sparkles into the image where there are strong edges.

C++ 40.46% CMake 18.10% C 24.37% Makefile 17.07%
blur-filter cartoonization cpp edge-detector filters gaussian-filter magnitude negative opencv sepia

real-time-filtering's Introduction

๐Ÿ’ซ About Me:

Hello folks, I am Rishabh Singh, a passionate robotics enthusiast pursuing my Master of Science in Robotics at Northeastern University. With a strong skill set in programming, tools, and libraries, I have experience in designing telecom networks and developing wireless surveillance bots. My projects showcase my expertise in Autonomous systems, Computer Vision, Object detection & recognition, and sensor fusion. I am dedicated to pushing the boundaries of robotics and contributing to innovative advancements in the field.

Introducing myself in a single sentence : "I am an Ordinary man with Extraordinary dreams".

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๐Ÿ’ป Tech Stack:

C C++ Python Anaconda ROS NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Arduino LINUX Raspberry Pi CMake Notion

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