Comments (1)
I generated UnityEyes images using the default parameters at 640x480 resolution with the setting "Fantastic". Due to a bug in rendering the Unity window via Wine on Linux I am not 100% sure which parameters the defaults were, but judging by the screenshot at https://www.cl.cam.ac.uk/research/rainbow/projects/unityeyes/tutorial.html it seems to be:
Camera: [0, 0, 20, 40]
Eyes: [0, 0, 30, 30]
As for whether they matter... this depends. For the purpose of training a gaze CNN to directly apply to MPIIGaze data, it was shown multiple times that improved performance can be achieved by sampling synthetic images to match the test data gaze distribution. See Fig. 12 here and Fig. 13 here. Having said that, it is not usually assumed that one has knowledge of test set labels at training time, and thus papers do not perform main evaluations in this manner.
For an unsupervised method of aligning gaze distributions between synthetic and real-world data, see this ICLR paper from Kangwook Lee et al..
from gazeml.
Related Issues (20)
- About pre-trained weights for DPG version?
- Theta and Phi
- Train-data parameter in elg-demo file
- Video_out is not defined when using record_video for testing elg demo
- Running demo elg using CPU gives overlapping frame of original image and segmented eye image instead of segmented eye image in top-left corner
- Could you share code to test on different data sets?
- can_use_eye, can_use_eyelid and can_use_iris in elg_demo.py are False HOT 1
- Stuck with --from_video option HOT 3
- Could you please tell me where the pre-training weight should be placed in the Windows system?
- The project only has elg demo. how to run dpg demo
- RuntimeError: Error deserializing object of type int64 while deserializing a floating point number.
- Some questions about the 'unityeyes.py'
- iris_centre is not mean of iris_landmarks?
- About train/test data in MPIIGaze.h5
- Collaboration offer to help progress
- Gaze Vector Accuracy HOT 1
- elgo_demo.py stucks after video is closed HOT 1
- python and tensorflow version
- [TUTORIAL] How to save ELG model to .onnx and further to TensorRT .engine HOT 1
- Long proc time when running elg_demo.py on CPU HOT 1
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 gazeml.