Hi
seungyounshin / adaptive-wing-loss-for-robust-face-alignment-via-heatmap-regression Goto Github PK
View Code? Open in Web Editor NEWAdaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression
adaptive-wing-loss-for-robust-face-alignment-via-heatmap-regression's Introduction
adaptive-wing-loss-for-robust-face-alignment-via-heatmap-regression's People
Contributors
Stargazers
Watchers
adaptive-wing-loss-for-robust-face-alignment-via-heatmap-regression's Issues
Is it possible to create a lightweight landmark detection model using this repo?
I want to make a lightweight landmark detection model like OpenSeeFace, but there is no training code in OpenSeeFace repo. Your repo has only HourglassNet, but can you make a lightweight model for mobile? Do you have any idea what is good if you make it?
RuntimeError: Expected tensor to have cpu DeviceType, but got tensor with cuda DeviceType
When I placed 300W and ran train.py, I got the following error. Do you know the solution?
> python train.py 11:45:54
train start!
Traceback (most recent call last):
File "train.py", line 47, in <module>
out = model(img)
File "/home/anasys/.pyenv/versions/miniconda3-4.3.30/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "/mnt/efs/personal/kuroyanagi/work/20200528-1/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression/models/hourglass.py", line 179, in forward
y = self.coordconv[i](x,boundary_pred)
File "/home/anasys/.pyenv/versions/miniconda3-4.3.30/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "/mnt/efs/personal/kuroyanagi/work/20200528-1/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression/models/CoordConv.py", line 67, in forward
ret = self.addcoords(x, boundary_map)
File "/home/anasys/.pyenv/versions/miniconda3-4.3.30/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "/mnt/efs/personal/kuroyanagi/work/20200528-1/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression/models/CoordConv.py", line 45, in forward
xx_channel, zero_tensor)
RuntimeError: Expected tensor to have cpu DeviceType, but got tensor with cuda DeviceType (while checking arguments for CPU_tensor_apply)
>
Update the NME on 300W
Would you please update the evaluate result on 300W full
crop the image in face300w.py
hi, thanks for your work. I am very interested in it.
I have a question about cropping the image in trainset.
In face300w.py, line 63, when cropping the image according to the coordinates of landmarks, why use "miny-face_h" for the coordinates of the upper left corner, and use "+ or - crop_pad" for all others?
Hope for your reply.
the question about learning rate
hi~I have learned your code and gained a lot. And I have two questions.
The first one is about the learning rate. The AWing paper mentioned that the initial learning rate is 1e-4, and you set it to 1e-6 in the code. Is the learning rate of 1e-6 better?
The second one is about the function '_nms'. In eval.py, there are two lines of code, "from utils.post_process import _nms out=_nms(out)". There is no "post_process" file here, what is the function of “_nms"? Will the lack of it affect the output of the result?
Hope for your reply.
Help!
The function '_nms'. In eval.py, there are two lines of code, "from utils.post_process import _nms out=_nms(out)". There is no "post_process" file here, what is the function of “_nms"? Will the lack of it affect the output of the result?
Hope for your reply.
Bug in CoordConv?
Kindly mention that:
ret = torch.cat([ret, xx_channel, yy_channel], dim=1)
should be
ret = torch.cat([ret, xx_boundary_channel, yy_boundary_channel], dim=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.