Comments (3)
The problem here is the proportions. NanoDet can only detect objects in the foreground. The resolution of 320x320 will make the hand in this video too small to be recognized. Once the "blank" borders are removed, it will work.
This is inherent to NanoDet. YoloX is better in this regard. Due to the busyness at the office, I don't have the time to delve further into this.
from hand-pose-ncnn-raspberry-pi-4.
@MyraBaba hi,Excuse me, have you found the solution?
from hand-pose-ncnn-raspberry-pi-4.
@duoduo888999
we choose a different path. for a project
from hand-pose-ncnn-raspberry-pi-4.
Related Issues (4)
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 hand-pose-ncnn-raspberry-pi-4.