Comments (3)
@arduinepo
I'm interested in what you're doing and if you want i can try to help in this project.
I'm going to analyze the code and then i will say something.
[Just to keep the topic alive and you know that i will take a look]
But at first glance have you already confirmed whether each person's head is being well analyzed in each frame (the masks). Because the gaze360 needs a crop image of the head individually to get the gaze vector.
from gaze360.
Hi,
thank you for your answer !
In fact I succeeded a few hours after posting this issue, quite easily by modifying some lines in the function extracts_heads__bbox : since detectron2 returns the cropped IUV image for each instance, the individual segmentation masks are not needed to obtain the individual heads. My code is on my office computer to which I usually connect via x2go and SSH, but my laptop has got a permission denied since this morning, so I will only commit on Monday morning. ;-)
I'm now working on accelerating the program : after a timed run, with a GPU and a batched inputs for the DensePOse predictor, the slowest part is the extraction of the densepose results, the IUV arrays and the boxes ; I haven't yet feeded the gaze predictor with multiple inputs, nor timed the transformation of the extracted data before getting the gaze. I am going to explore DALI and multiprocessing, because I plan on retraining gaze360 with exact groundtruth values (usings markers in a lab room, maybe 2+ cameras) : the outputs don't satisfy me.
from gaze360.
Hi @arduinepo,I'm wondering if you've gotten the code to work to run Gaze360 with detectron2? I saw your comment at #5 and I'm curious about your progress.Can you release code?
from gaze360.
Related Issues (20)
- some question about the code HOT 2
- some question about camera calibration HOT 1
- Definition of yaw and pitch HOT 3
- Cross-dataset evaluation HOT 2
- DATASET ACCESS INFORMATION
- how to present the predicted result
- some question about generate ground truth HOT 6
- some error in the traindata HOT 5
- some problem about the predict HOT 9
- An error occurred in the test results HOT 1
- some error in the HOT 1
- Cross dataset evaluation HOT 1
- How to get mean angular errors HOT 1
- how to get gaze label? HOT 1
- Could you tell me setting of gaze360 V2?
- Pitch Yaw angels
- Camera Intrinsics ?
- the range of front 20
- Colab Notebook V2 is not working - Lucid Error
- Unable to download the dataset
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 gaze360.