Comments (2)
It is related to these attributes in the json file ("group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null), but version 5.2 is used normally. Here is the json source file
{
"version": "5.4.0",
"flags": {},
"shapes": [
{
"text": "",
"label": "trafficlight",
"points": [
[
127.33812949640284,
381.636690647482
],
[
180.03597122302156,
404.658273381295
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
652.0,
506.0
],
[
1033.0,
742.0
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
0.0,
563.0
],
[
240.77697841726626,
699.5563549160671
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
223.0,
535.0
],
[
616.0,
720.0
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
65.71244635193133,
558.8583690987124
],
[
378.8841201716739,
710.7296137339056
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
410.0,
547.476439790576
],
[
720.0,
726.476439790576
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
1655.0,
542.0
],
[
1919.0,
808.0
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
934.0,
543.0
],
[
1278.0,
752.0
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "car",
"points": [
[
1179.0,
506.0
],
[
1631.0,
786.0
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "truck",
"points": [
[
-0.4303797468353281,
-0.5316455696201956
],
[
119.8227848101267,
123.51898734177217
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "bicyclerider",
"points": [
[
99.8952422522917,
0.0
],
[
234.07245744216516,
131.64556962025313
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "person",
"points": [
[
246.94893059799227,
0.0
],
[
382.3919685726758,
143.03797468354426
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "trafficlight",
"points": [
[
61.85897435897436,
381.3461538461538
],
[
116.34615384615384,
406.66666666666663
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "trafficlight",
"points": [
[
455.910290237467,
469.39313984168865
],
[
477.28232189973613,
503.1662269129288
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "motorcycle",
"points": [
[
389.7435897435897,
-0.12820512820517038
],
[
529.0598290598289,
155.4273504273503
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "signs",
"points": [
[
529.059829059829,
15.211929251213377
],
[
690.5982905982905,
182.9298779691621
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "tricycle",
"points": [
[
689.7435897435897,
-0.8888888888889426
],
[
860.6837606837607,
176.75213675213672
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "roadblocks",
"points": [
[
865.7470518230012,
-0.07941144650007459
],
[
1046.9436330195826,
207.28810992102132
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"text": "",
"label": "trafficlight",
"points": [
[
179.39313984168868,
369.6569920844327
],
[
226.8865435356201,
404.7493403693931
]
],
"group_id": null,
"description": null,
"shape_type": "rectangle",
"flags": {},
"mask": null
},
{
"label": "truck",
"points": [
[
641.8965517241379,
301.2068965517242
],
[
685.0,
344.31034482758616
]
],
"group_id": null,
"description": "",
"shape_type": "rectangle",
"flags": {},
"mask": null
}
],
"imagePath": "../images/1204_images_1.jpg",
"imageData": null,
"imageHeight": 1080,
"imageWidth": 1920,
"text": ""
}
from labelme.
@Code-Now-QD Can you provide me the whole data to reproduce?
zip -r images labels data.zip
from labelme.
Related Issues (20)
- Labelme does not allow saving of files to a separate Mount (separate hard disk) HOT 1
- The `brew --cask` release lags behind the official releases
- Labelme Crash HOT 1
- Labelme.exe cannot save configuration parameters
- How to customize label colors HOT 2
- Application crashes in Ubuntu 22.04 HOT 2
- How to support Chinese
- Copy/Paste shortcut (Ctrl+C/Ctrl+V) doesn't work on 5.4.0
- LabelMe Crashes with SegmentAnything Model (Speed Version) for Automatic Annotation
- Installation fails in python 3.12.1
- The program will automatically exit after a certain period of time
- ValueError: <labelme.shape.Shape object at 0x000001BFA54D6310> is not in list HOT 2
- Tupple index out of range and Invalid base64-encoded string: number of data characters cannot be 1 more than a multiple of 4
- Add two fingers zoom on touch screens
- Cant edit Group Id with string instead of int
- JSON file integration
- Suggest customizing the model directory
- Labelme can´t handle 32-bit tiff
- ADE20K dataset image file not open labelme version:5.4.1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from labelme.