關於 flow github ，我們在網路上蒐集到這些相關的討論、資訊與評價

這一年我的新的地圖PO比較少，您想知道我一直在忙什麼嗎？我將有一個驚喜給大家， 目前還是秘密，但是這裡有個提示: 大自然愛好者，瀑布探險者和戶外愛好者的下一個大型平台即將到來。
這將改變您的探索方式，並使我的小網站變得過時。 這次，我不僅要與所有人共享我的地圖，而且要創建一個由探索者和地圖製作者組成的整個社區。 我想探索一個更具包容性的空間。

順便說一句，我正在尋找一名Frontend Engineer加入其中，並幫助使這個項目成為可能。 您或您認識的某個人是一位經驗豐富的程序員，熱衷於共享和冒險嗎？ 請閱讀以下詳細訊息，如果您想申請或有任何疑問，請聯繫Bryan。
😊☀😊
This year I haven't been able to add as many new maps. Would you like to know why I've been so busy? It's still a bit of a secret... but here's is a hint: The next big platform for nature lovers, waterfall explorers, and outdoor enthusiasts is coming. It's going to change the way you go exploring and make my fun little website obsolete. This time I'm not just looking to share my maps with everyone, but to create an entire community of explorers and mapmakers. I want to make exploring a more inclusive space.

Incidentally I am looking for a Frontend Engineer to join the team and help make this project possible. Are your or someone you know an experienced programmer with a passion for sharing and adventure? Please check the details below and contact Bryan if you would like to apply or have any questions.
😊☀😊
Job Details:
* Participate in brainstorming sessions for product features and system architecture
* Collaborating with the design team
* Research into new technologies

Required Qualifications
* Proficient in Javascript along with a frontend framework, angular and/or react
* Experience using HTML5 & CSS3 features (websockets, webrtc, SSE, LESS, SASS, Stylus, PostCS, etc.)
* Experienced with RESTful APIs
* Experienced with SPA, Flux, Redux is good.
* Experience with building real-time applications
* Experience with build pipeline tools: grunt, gulp, webpack, etc
* Experience with Git and Git flow

Preferred Qualifications
* Experience with building native webapps (react native, etc.)
* Experience developing optimistic UI style applications
* Experience optimizing frontend for performance and user experience
* Strong knowledge of media handling on client
* Open-source advocate

Nice to have
* UI/UX Design

How to Apply
Please submit the following here or to bryankuo@fusionnextinc.com
* CV/Resume
* A link to your Github/Bitbucket

#純靠北工程師3s5
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發現同事的分支名稱長這樣 請問這是哪一個門派的flow嗎
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🗳️ [群眾審核] https://kaobei.engineer/cards/review
👉 [GitHub Repo] https://github.com/init-engineer/init.engineer
📢 [匿名發文] https://kaobei.engineer/cards/create
🥙 [全平台留言] https://kaobei.engineer/cards/show/4901

#世界級

全球最神的 #物件偵測演算法 上線！

即時計算車流、為自駕車領航、計算社交距離……

🚗🚌🚐🚒🏎🚕🚌🚎🏍🚲🚐🚚

👌有了它，通通都搞定！
　　
　　

💁‍♂️ #YOLOv4 #最速最準 #免費開源釋出 #中研院與俄國開發者聯手打造

--

YOLO 是「You only look once」的簡稱，電腦只要看一眼，就能判斷照片或影像裡的物件類別與位置，自2015年推出第一代版本後，深受開發者喜愛。

👍新一代的YOLOv4，由中研院資訊所廖弘源特聘研究員、王建堯博士後研究員，與俄羅斯開發者博科夫斯基(Alexey Bochkovskiy)共同研發，平均正確率(Average Precision, AP)達43.5%，比前一代(YOLOv3)提高10%🎉
　　
✅速度更快 ✅準確度更高 ✅成本低 使用一般的圖形處理器就能運算，「像是用算盤打出計算機的速度！」不需佈建雲端系統，即時分析回饋。
　　
#YOLO可以拿來做什麼

廖弘源指出，團隊目前已運用該技術與義隆電子合作「智慧城市交通車流解決方案」，在路口就能進行交通影像辨識，例如即時分析車流、停等車列、車速，即時反映交通路況，調整號誌。目前已佈設於桃園、新竹。

#物件偵測的應用範圍不只在交通領域
YOLOv4已經於今年四月在Github(原始碼代管平台)公開，免費開源給全世界使用，各項應用層出不窮⬇⬇
　　
👉計算社交距離
https://www.youtube.com/watch?v=obtERdHvM8o

👉偵測有無戴口罩
https://www.youtube.com/watch?v=yPTLc6FmQCM
　　
✅這項技術的突破，也展現台灣在人工智慧研究領域擁有強大能量！了解更多開發過程：https://www.sinica.edu.tw/ch/news/6576

✅論文：https://arxiv.org/abs/2004.10934

#中研院 #資訊所 #YOLOv4 #objectdetection #computervision #影像辨識
_________________________________

Groundbreaking results in artificial intelligence achieved by international team with Taiwanese researchers! AS Distinguished Research Fellow Mark Liao and Postdoctoral Scholar Chien-Yao Wang from the Institute of Information Science worked with Alexey Bochkovskiy from Russia to develop YOLOv4, currently the fastest and most accurate object detection algorithm. YOLOv4 has an average precision (AP) rate of 43.5 percent, 10 percent higher than the previous version (YOLOv3).

Since the source code was shared on an open-source platform, tens of thousands of people around the world have tested YOLOv4 and developed their systems and products.

According to Mark Liao, YOLOv4 has been used in the development of “Smart City Traffic Flow Solutions”, a collaborative project with ELAN Microelectronics Corporation to enhance smart city innovation in Taiwan.

⏩ Press Release: https://www.sinica.edu.tw/en/news/6576

__________________________________

🎤媒體報導🎤

[自由時報] 人工智慧技術 分析車流準確率達9成
https://news.ltn.com.tw/news/life/paper/1383752

[蘋果日報] 交通指揮換AI！車少時一路綠燈　中研院研發最準車流辨識
https://reurl.cc/kdAbRK

[中央社] 台俄合作最速物件偵測 影像辨識解決交通車流
https://www.cna.com.tw/news/ait/202007020144.aspx

[警廣] 中研院演算法準確判斷車流 改善交通路況
https://reurl.cc/exYbeM

[公視] 中研院改良研發 世界級AI交通偵測系統
https://news.pts.org.tw/article/485383

[聯合報] 一眼揪出你有沒有超速！台俄聯手打造全球最神物件偵測
https://udn.com/news/story/7266/4673372

#塞車有解 #超速要當心 #AI都知道 🤫