Comments (2)
Hello. I do not make this code, but i know your question's answer.
Because alexnet, vgg, resnet, densenet, squeezenet is Pretrained model, and this models trained at ImageNet.
ImageNet data's resolution is 224x224, so input shape must be 224x224.
If you don't want to upsample your data, you need to train models from scratch, can't use pretrained model.
from gradcam_plus_plus-pytorch.
from gradcam_plus_plus-pytorch.
Related Issues (9)
- Not so much an issue, as a question HOT 2
- TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first. HOT 3
- wrong implementation of denominator in eq.19 HOT 3
- Visualization of GradCAM/++
- TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first HOT 2
- License
- RuntimeError: grad can be implicitly created only for scalar outputs
- Q
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 gradcam_plus_plus-pytorch.