A web based annotation tool for 3D computer vision tasks. The tool is developed in the context of cashier-less convenience store research by Suning. It supports point clouds (.pcd) for the annotation task of pose estimation, tracking, and reID. It is a SPA developed with React and three.js.
๐ฅ VIDEO DEMO: Point Cloud Annotator Demo
For the annotation task of detection and semantic segmentation, please refer to Semantic Segmentation Editor by Hitachi Automotive and Industry Lab.
Download a pre-built installer for your platform from https://nodejs.org/en/download/.
git clone https://github.com/zexihan/point-cloud-annotator.git
cd point-cloud-annotator
npm install
npm start
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
By default, point clouds are served from a subfolder in public/data/pcd
. Sample person point clouds are included in public/data/pcd/person
.
{
"set_nm": "person",
"begin_fid": 0,
"end_fid": 6,
"pcd_folder": "./data/pcd",
"bbox_folder": "./data/bbox",
"keypoints_folder": "./data/keypoints",
"keypoints": [
{"label": "left_ear", "color": "#9A3254"},
{"label": "right_ear", "color": "#E85D88"},
{"label": "left_shoulder", "color": "#FF8815"},
{"label": "right_shoulder", "color": "#FFE832"},
{"label": "left_elbow", "color": "#1FB93E"},
{"label": "right_elbow", "color": "#1AAEAA"},
{"label": "left_wrist", "color": "#83BCFF"},
{"label": "right_wrist", "color": "#208BFB"},
{"label": "left_hip", "color": "#54351A"},
{"label": "right_hip", "color": "#5D36E1"}
]
}
left mouse button + move: Pan the map
right mouse button + move: Rotate the view
mouse wheel: Zoom up and down
a/d: Previous/Next frame
+/-: Increase/Decrease point size
c: Change color
f: Mark/Unmark
shift + left mouse button: Add/Remove key point
- Supported input PCD format: ASCII
- Supported input fields:
x
,y
,z
,rgb
(optional integer)