![]() If you are an organization using Chocolatey, we want your experience to be fully reliable.ĭue to the nature of this publicly offered repository, reliability cannot be guaranteed. Human moderators who give final review and sign off.Security, consistency, and quality checking.ModerationĮvery version of each package undergoes a rigorous moderation process before it goes live that typically includes: For Lua, run “luarocks make LuaAPI/rocks/coco-scm-1.Welcome to the Chocolatey Community Package Repository! The packages found in this section of the site are provided, maintained, and moderated by the community. ![]() For Python, run "make" under coco/PythonAPI For Matlab, add coco/MatlabApi to the Matlab path (OSX/Linux binaries provided) Īfter downloading the images and annotations, run the Matlab, Python, or Lua demos for example usage. Please download and place the annotations in: coco/annotations/įor substantially more details on the API please see. Please download, unzip, and place the images in: coco/images/ Both are available on the project website. In addition to this API, please download both the COCO images and annotations in order to run the demos and use the API. The Matlab and Python APIs are complete, the Lua API provides only basic functionality. The exact format of the annotations is also described on the COCO website. Please visit for more information on COCO, including for the data, paper, and tutorials. This package provides Matlab, Python, and Lua APIs that assists in loading, parsing, and visualizing the annotations in COCO. COCO is a large image dataset designed for object detection, segmentation, person keypoints detection, stuff segmentation, and caption generation.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |