Comments (1)
class GlyphGenerator(nn.Module):
def init(self, ngf=32, n_layers = 5):
super(GlyphGenerator, self).init()encoder = [] encoder.append(ReplicationPad2d(padding=4)) encoder.append(Conv2d(out_channels=ngf, kernel_size=9, padding=0, in_channels=3)) encoder.append(LeakyReLU(0.2)) encoder.append(myGConv(ngf*2, 2, ngf)) encoder.append(myGConv(ngf*4, 2, ngf*2)) transformer = [] print(n_layers/2-1) for n in range(n_layers/2-1): transformer.append(myGCombineBlock(ngf*4,p=0.0)) # dropout to make model more robust transformer.append(myGCombineBlock(ngf*4,p=0.5)) transformer.append(myGCombineBlock(ngf*4,p=0.5)) for n in range(n_layers/2+1,n_layers): transformer.append(myGCombineBlock(ngf*4,p=0.0))
some float in range() are encontered
Thank you for pointing out the bug :)
It has been fixed.
from shapematchinggan.
Related Issues (20)
- about other style image training HOT 3
- can you provide a javascript veision ?please
- run HOT 1
- error with trainStructureTransfer.py HOT 10
- higher resolution HOT 3
- Image Matting HOT 7
- RuntimeError: The size of tensor a (256) must match the size of tensor b (254) at non-singleton dimension 1 HOT 1
- could the network generalize to the unseen style
- What license do you have? HOT 2
- about training HOT 3
- RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0 HOT 1
- One model for one style? HOT 4
- Can the Background become Transparent to merge with other images? HOT 2
- Testing with multiple scales in [0,n] HOT 1
- about testing multiple images HOT 1
- The stylization of a string HOT 2
- why training for 3 steps? HOT 4
- Is distance-based process necessary? HOT 2
- balloon special effects HOT 1
- question about label smoothing HOT 4
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 shapematchinggan.