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Real-time object detection on Android using the YOLO network with TensorFlow

License: Apache License 2.0

Java 0.38% Makefile 0.10% C++ 46.52% Python 38.57% C 0.73% CMake 0.15% Objective-C 0.02% Objective-C++ 0.18% Shell 0.96% Protocol Buffer 0.49% Jupyter Notebook 7.18% HTML 2.10% JavaScript 0.05% TypeScript 2.56% CSS 0.01%

android-yolo's Introduction

ABU ANAS IBN SAMAD (Shuvom)

  • Specialized in Cybernetics and AI Systems

YOUR github stats

SKILLS & EXPERTISE

DL Frameworks I am Fluent to Swim

Caffe, PyTorch, Keras

Languages I use to talk to machines

C, C++, Python, JS, MATLAB, Lua

OBJECTIVES

Advancing the human race through peaceful engineering applications of narrow and deep Artificial Intelligence while pushing research efforts towards developing Artificial General Intelligence and Artificial Super Intelligence.

android-yolo's People

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