Comments (4)
-
the input value ranges are big >> 1.0, doe sit cause any gradient problem?
-> No. Many works just use 0~255 pixel valued-images as the input of their networks. -
the input value range of input image and input heatmaps are not on the same scale. Input images are subjected from the pixel_means, while the heatmap value ranges are in [0, 255].
-> The output scale does not have to be the same with that of the input.
from posefix_release.
Thanks for your answer.
-> The output scale does not have to be the same as that of the input:
--> Sorry for the misunderstanding. I mean the scale value between two kinds of input: input image and input keypoint heatmaps; Image has a value range of [-126, 126], and input heatmap has a value of a range of [0, 255]. They are concatenated into a multi-channel input before passing into convolution operations, so I suppose that they should be normalized to the same scale.
Anyway, your normalization technique produces accurate results, so that means it works. Maybe it's just a matter of training convergence.
Best
from posefix_release.
Although they are concatenated, their scales do not have to be in the same range. The learnable weights will consider the scale difference. I think you don't have to worry about that.
from posefix_release.
Thank you very much
from posefix_release.
Related Issues (20)
- About how to apply this work on my own data? HOT 17
- calculate miss_prob , jitter_prob and inv_prob on other dataset HOT 1
- Statistics on latency and throughput HOT 1
- demo for a single image HOT 4
- About Fig.5 in your paper HOT 2
- Can we directly implement Posefix on Inference phase or should we have to do it from training itself? HOT 3
- Combining all the three datasets HOT 3
- I can't use my GPU? HOT 1
- Find data HOT 6
- converting model to ONNX for C++ inference with TensorRT HOT 3
- Is there any plan to provide pre-trained weights available? HOT 2
- inefficient heavy-CPU training HOT 7
- the reason behind the usage of render_onehot_heatmap for training target instead of render_gaussian_heatmap HOT 3
- the usage of the softmaxed heatmaps as the keypoint confidence scores
- Format of result.json HOT 1
- Missing modules in requirements
- FileNotFoundError: [Errno 2] No such file or directory: 'tmp_result_0.pkl' and IndexError: list index out of range HOT 3
- tensorflow 2
- I appreciate your work!
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 posefix_release.