rainofmine / bi-box_regression Goto Github PK
View Code? Open in Web Editor NEWPytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)
Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)
I would like to point out that the testing script is some how missing, could you please provide it ?
I want to use a Caltech Pedestrian dataset for training, but for the transformation of the data set don't correspond with code format and don't know you is how to convert the data set.How to write in CSV, has met the needs of the code format?
Is there any python code or instruction to test already exist pre-train model?
Thank you~
Do you try to combine two methods?
hi~the result of this project can be presented in the command?i have very bad result but i dont konw why
Hey, sorry to interrupt, I got a problem with pytorch version and hope you can help me. I am using pytorch 1.0 and for some reason, I can not use pytorch 0.4, so is there any way I can use your code with pytroch 1.0 by changing some parts of your code?
Hi,
I just found the mAP is very low when testing on Caltech Dataset, it is around 0.03
The code is
optimizer = optim.Adam(retinanet.parameters(), lr=1e-5)
scheduler = optim.lr_scheduler.ReduceLROnPlateau(optimizer, patience=3, verbose=True)
If I change to SGD or I change lr=1e-4, mAP will always be 0.0
If there anyone has similar problem as mine? What is wrong with my expirement?
BTW, I downsize the caltech to 1/10 of the original size, it takes 35 minutes to run one epoch and I ran 50 epochs. The val data set was chosen from another 1/10 of the original Caltech Dataset. Basiclly the val and test should be very similar, but the mAP on Val is only around 0.3 at 24th epoch.
I have no idea what went wrong.
Thanks!!!
请问train.txt和val.txt文件格式是怎么样的?
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.