{"id":850,"date":"2021-12-27T16:50:46","date_gmt":"2021-12-27T08:50:46","guid":{"rendered":"http:\/\/139.9.1.231\/?p=850"},"modified":"2021-12-30T20:40:38","modified_gmt":"2021-12-30T12:40:38","slug":"yolo","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2021\/12\/27\/yolo\/","title":{"rendered":"YOLO\u7cfb\u5217\uff08\u4e00\uff09"},"content":{"rendered":"\n
\"\"\/<\/figure><\/div>\n\n\n\n

What is YOLOv5<\/h2>\n\n\n\n
\n\n\n\n

YOLO an acronym for ‘You only look once’, is an object detection algorithm that divides images into a grid system. Each cell in the grid is responsible for detecting objects within itself.<\/p>\n\n\n\n

YOLO is one of the most famous object detection algorithms due to its speed and accuracy.<\/p>\n\n\n\n

The History of YOLO<\/h2>\n\n\n\n
\n\n\n\n

YOLOv5<\/h3>\n\n\n\n

Shortly after the release of YOLOv4 Glenn Jocher introduced YOLOv5 using the Pytorch framework.
The open source code is available on GitHub<\/a><\/p>\n\n\n\n

Author:<\/strong> Glenn Jocher<\/a>
Released:<\/strong> 18 May 2020<\/p>\n\n\n\n

YOLOv4<\/h3>\n\n\n\n

With the original authors work on YOLO coming to a standstill, YOLOv4 was released by Alexey Bochoknovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. The paper was titled YOLOv4: Optimal Speed and Accuracy of Object Detection<\/a><\/p>\n\n\n\n

Author:<\/strong> Alexey Bochoknovskiy<\/a>, Chien-Yao Wang<\/a>, and Hong-Yuan Mark Liao<\/a>
Released:<\/strong> 23 April 2020<\/p>\n\n\n\n

yolov4-tiny \uff1a https:\/\/arxiv.org\/abs\/2011.04244<\/a><\/p>\n\n\n\n

code yolov4-tiny<\/a> \uff1a<\/p>\n\n\n\n

https:\/\/github.com\/bubbliiiing\/yolov4-tiny-pytorch<\/a><\/p>\n\n\n\n

\"\"\/
yolov4 tiny\u7ed3\u6784<\/figcaption><\/figure>\n\n\n\n

YOLOv3<\/h3>\n\n\n\n

YOLOv3 improved on the YOLOv2 paper and both Joseph Redmon and Ali Farhadi, the original authors, contributed.
Together they published YOLOv3: An Incremental Improvement<\/a><\/p>\n\n\n\n

The original YOLO papers were are hosted here<\/a><\/p>\n\n\n\n

Author:<\/strong> Joseph Redmon<\/a> and Ali Farhadi<\/a>
Released:<\/strong> 8 Apr 2018<\/p>\n\n\n\n

YOLOv2<\/h3>\n\n\n\n

YOLOv2 was a joint endevor by Joseph Redmon the original author of YOLO and Ali Farhadi.
Together they published YOLO9000:Better, Faster, Stronger<\/a><\/p>\n\n\n\n

Author:<\/strong> Joseph Redmon<\/a> and Ali Farhadi<\/a>
Released:<\/strong> 25 Dec 2016<\/p>\n\n\n\n

YOLOv1<\/h3>\n\n\n\n

YOLOv1 was released as a research paper by Joseph Redmon.
The paper was titled You Only Look Once: Unified, Real-Time Object Detection<\/a><\/p>\n\n\n\n

Author:<\/strong> Joseph Redmon<\/a>
Released:<\/strong> 8 Jun 2015<\/p>\n","protected":false},"excerpt":{"rendered":"

What is YOLOv5 YOLO an acronym for ‘You only look … \u7ee7\u7eed\u9605\u8bfbYOLO\u7cfb\u5217\uff08\u4e00\uff09<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4,12,9],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/850"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=850"}],"version-history":[{"count":7,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/850\/revisions"}],"predecessor-version":[{"id":990,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/850\/revisions\/990"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=850"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=850"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=850"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}