Comments (4)
bowenc0221
commented on July 19, 2024
This is related to compiling MultiScaleDeformableAttention, please refer to Deformable DETR (https://github.com/fundamentalvision/Deformable-DETR/issues?q=is%3Aissue+undefined+symbol+is%3Aclosed) for help.
from mask2former.
Wenzhiqiang16
commented on July 19, 2024
This is related to compiling MultiScaleDeformableAttention, please refer to Deformable DETR (https://github.com/fundamentalvision/Deformable-DETR/issues?q=is%3Aissue+undefined+symbol+is%3Aclosed) for help.
got it，thank you
from mask2former.
rmanzanedo
commented on July 19, 2024
@Wenzhiqiang16 Have you solved it? Thanks!
from mask2former.
Wenzhiqiang16
commented on July 19, 2024
@Wenzhiqiang16 Have you solved it? Thanks!
follow the "Example conda environment setup". The version of pytorch should be the same as your cuda. Pay attention, before "sh make.sh", you should run "export CUDA_HOME=/usr/local/'YOUR CUDA version'"
from mask2former.
Related Issues (20)
- How to understand the output of different tasks
- Using ground truth masks instead of the predicted ones
- No module named 'MultiScaleDeformableAttention', Please compile MultiScaleDeformableAttention CUDA op HOT 2
- As for training, how long does it take?
- HAVE ANYONE MEET SUCH ERROR WHEN TRAINING ON OWN DATASET HOT 1
- batch_size doesn't affect evaluation
- how use custom pre-trained backbone in mask2former HOT 1
- why swin accept different input size
- loading swintransformer
- Ambiguous checkpoint key error when running train_net.py HOT 1
- difference among different mode
- Prebuilt wheels provided via 3rd party repository
- Using COCO for the dataset, what is the appropriate adjustment for learning rate if using a single GPU
- Run in colab seems that there's a ModuleNotFoundError related to the MultiScaleDeformableAttention module.
- Poor Output image quality
- Mask loss with soft labels
- Custom dataset registration to use a model trained on Cityscapes for semantic segmentation.
- How should I fix the input size during testing? HOT 3
- Could you please let me know if anyone has successfully trained using the YouTube VIS 2021 dataset? How should the dataset be formatted?
- How to train only the semantic segmentation weights of ade20k?
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 mask2former.