Comments (7)
Can you provide the linkNet prototxt for training? Thanks a lot.@vishnureghu007
from linknet.
- There are 5 downsampling convnets but there is a
maxpool
layer in the beginning. That is why there is an extra upsampling layer. - I ran ~200 epochs but never more than 300.
- Input of each encoder has same resolution as output of corresponding decoder. So you do not need to crop. Or are you talking about padding the convolution layers?
@vishnureghu007 thank you for this and let me know if you need any other help.
from linknet.
you have mentioned in BlogSpot that "The first encoder block does not perform strided convolution and every convolution layer is followed by batch-normalization and ReLU as non-linearity"
1)so does it mean that first encoder block doesn't downscales input by 2, if It does then no of up sampling will be equal to no of down sampling.
3)From my understanding of the design of network the spatialfullconvolution (upsampling*2) will result in one row-column less than encoder output so to match you gave the value of 1 in adjs.
nn.SpatialFullConvolution(iFeatures, oFeatures, 3, 3, stride, stride, 1, 1, adjS, adjS)
From torch 7 doc:
adjW : Extra width to add to the output image. Default is 0 . Cannot be greater than dW-1.
adjH : Extra height to add to the output image. Default is 0 . Cannot be greater than dH-1
In caffe I didn't find such a facility, so i used crop layer.
Please validate my changes to the network.
from linknet.
- there is no downsampling done in first encoder block and therefore no upsampling done in its corresponding decoder block.
- You are right and if there is no way to adjust the output in caffee then you can try cropping.
from linknet.
thanks a lot. :)
from linknet.
loss not converging after 50-100 epochs.
have doubt in my encoder block.
Could you please check this.
from linknet.
Encoder block looks ok to me. What about the learning rate and optimizer?
from linknet.
Related Issues (15)
- Directory structure for CamVid dataset. HOT 2
- About IoU HOT 2
- Training on camvid dataset HOT 4
- How about the image resolution? HOT 5
- Model input/output details? HOT 2
- Error while running linknet main file
- Model fails for input size other than multiples of 32(for depth of 4) HOT 1
- about resnet-18 HOT 1
- Fine Tuning HOT 3
- Error while training HOT 4
- Torch: not enough memory (17GB) HOT 3
- memory consuming HOT 7
- Release model HOT 2
- is there a demo.lua ? 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 linknet.