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asahichine's Projects

opencv-python-blueprints icon opencv-python-blueprints

M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.

paddledetection icon paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

practicalai icon practicalai

📚 A practical approach to learning and using machine learning.

prog-edu-assistant icon prog-edu-assistant

An easy system to create autograding tests in Jupyter Python notebook and deploy to cloud.

project_kojak icon project_kojak

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

python icon python

All Algorithms implemented in Python

pythondocument icon pythondocument

translate python documents to Chinese for convenient reference 简而言之,这里用来存放那些Python文档君们,并且尽力将其翻译成中文~~

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-pruning icon pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

qv2ray icon qv2ray

:star: Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 SSR / Trojan / Trojan-Go / NaiveProxy | 使用 C++ / Qt5 开发 | 可拓展插件式设计 :star:

rb5-ball-follower-robot-using-qualcomm-fastcv icon rb5-ball-follower-robot-using-qualcomm-fastcv

This project is to build and deploy an Ball Follower Robot application on the Qualcomm RB5 Robotics platform that detects a football and track that detected football using Qualcomm's FastCV (Computer Vision SDK).

scene-detection-on-rb5-using-pytorch-snpe icon scene-detection-on-rb5-using-pytorch-snpe

Project is intended to build and deploy an scene detection application onto Qualcomm Robotics development Kit (RB5) that detects whether the bot is in an indoor or outdoor environment and takes necessary actions

sense icon sense

Enhance your application with the ability to see and interact with humans using any RGB camera.

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