
EGE 库入门——手把手教你从零完成 Flappy Bird 的编写
EGE Graphics.h库是C++编程中用于2D图形渲染的一个开源库,它提供了一组易于使用的API,帮助开发者快速创建动态图形、游戏或者复杂的可视化应用。EGE库的全称可能为"Easy Game Engine"或类似含义,设计初衷是为了...
GitHub - umr-ds/BirdEdge
Bird@Edge is an Edge AI system for recognizing bird species in audio recordings to support real-time biodiversity monitoring. Bird@Edge is based on embedded edge devices operating in a distributed system to enable efficient, continuous evaluation of soundscapes recorded in forests.
VisualStudio2022 C++ EasyX EGE FlappyBird小游戏 - CSDN博客
2024年8月16日 · 本文将深入探讨一个使用C语言和C++编写的Flappy Bird像素鸟小游戏,这款游戏利用了双缓冲绘图技术,确保了游戏运行时的流畅性,避免了常见的“闪屏”现象,为玩家提供了更好的视觉体验。同时,源码结构清晰,注释...
Ege Üniversitesi Kampüsü Rare Bird Alert - Alerts - eBird
The report below shows observations of rare birds in Ege Üniversitesi Kampüsü. Includes both unreviewed and reviewed/approved observations. Send alerts... Exotic species flags differentiate locally introduced species from native species.
EDGE Birds - EDGE of Existence
The Top 100 EDGE Bird List identifies the most Evolutionarily Distinct and Globally Endangered avian species in the world. We must conserve these species to safeguard the greatest amount of evolutionary history possible.
eBird - Discover a new world of birding...
eBird transforms your bird sightings into science and conservation. Plan trips, find birds, track your lists, explore range maps and bird migration—all free.
FlapBird Original - Microsoft Edge Addons
Introducing Flappy Bird Original, the iconic game. Fly through the skies, test your skills. - Tap the screen or press the spacebar to make the bird flap its wings. - Navigate the bird through a series of pipes without touching them. - Each successful pass through a pipe earns you a point. - Be careful! Even the slightest touch will end the game.
Båring Ege :: BirdWeather
44 species | 4,627 detections (Last 24 hours) Last Detection: 03/20/2025 @ 9:48 pm (a minute ago)
Bird@Edge: Bird Species Recognition at the Edge
2022年7月9日 · We’ve created Bird@Edge, an Edge AI system for recognizing bird species in audio recordings to support real-time biodiversity monitoring. Bird@Edge is based on embedded edge devices operating in a distributed system to enable efficient, continuous evaluation of soundscapes recorded in forests.
Bird@Edge: Bird Species Recognition at the Edge
2022年9月28日 · We present Bird@Edge, an Edge AI system for recognizing bird species in audio recordings to support real-time biodiversity monitoring. Bird@Edge is based on embedded edge devices operating in a distributed system to enable efficient, continuous evaluation of soundscapes recorded in forests.