tztztztztz / yolov2.pytorch Goto Github PK
View Code? Open in Web Editor NEWYOLOv2 algorithm reimplementation with pytorch
License: MIT License
YOLOv2 algorithm reimplementation with pytorch
License: MIT License
Hi,
I know that this repo works with a squared image. But, I am trying to incorporate a rectangle image of size (720,1440)
.
However, I end up with an error in the below line as it is not able to match the expected size.
Line 32 in 014559c
could you please tell me, how did you come up with these params? If I have to use a rectangle image what should be changed and on what basis?
Thanks in advance
Hi. Did you reproduce the results of this paper which were the same as the original paper? I'm the beginner too, I want to try to reproduce it. Thanks.
thank you for your good code
training was ok
test was ok
how to get mAP?
this step, there are some errors, I searched it but there are no effective solution, I tried some ways by changing the path, still didn`t work?
ln -s $VOCdevit/VOC2007 VOC2007
error:
ln: failed to creat symbolic link 'VOC2017': operation not supported.
Hi, thank you for such great work, but I want to confirm that it is a Yolov2 network like the one in the original paper? Because when I look at your code, I think it seems like the Yolov1:), but you know I'm also a beginner in deep learning, so I just want to confirm this with you. Thank you!
Hello, I want to triain my own dataset instead pascal VOC dataset.
How can I change your code?
thank you for your good code would you please guide me for how to calculate iou?
again thank you
Thanks a lot for the great repo.
I am trying to use the repo with custom dataset. I have my own input pipeline which provides the required data. However, I have few images where there are no bboxes. I would like to know how to handle this situation? Do you handle it somewhere in the repo?
Line 89 in 014559c
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.