xueeinstein / darknet-vis Goto Github PK
View Code? Open in Web Editor NEWVisualize YOLO feature map in prediction for easily checking your model performance
License: Other
Visualize YOLO feature map in prediction for easily checking your model performance
License: Other
Hi,
To use this, do we need to completely install this version of darknet, or can we simply add a few of the classes included here?
Thanks.
@xueeinstein Hey, I'm not sure where to message you such that you can see it the soonest, but I would just like to know if you could lead/help me to the right methods/way of implementing your visualization feature design in this repository to the newer or latest versions of YOLO. Currently, the latest versions of YOLO has no feature like this one you made for the version two. I would like to further understand what you did here difference to produce a visualization so that I can apply it on the latest versions, and upcoming ones. Additionally, this would also help other people in wanting to understand their own trained models.
Lastly, How can I utilize this repo to apply it on YOLO v3 custom model
Edit: I also emailed you just in case. you haven't seen this post.
Can you provide Python API to make it easy to use ?
can you put a sample code showing how to use it ?? Tried both ways.
The default implementation uses which config file, there are just so many ??
Python api does not work on linux, exits with :- ./libdarknet.so: undefined symbol: network_predict_p
Hello,
do you have a version for Yolo3 or are currently working on it?
If you aren’t working currently at it i would give it a try.
Every tip would be appreciatet to get it working on v3
Hi,
Can you please tell us which version of YOLO darknet-vis implements? Is it YOLOv3?
It would be great if you can share what changes you did to visualise the features/images at each step.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.