Comments (3)
The pre-trained model won't work if MODEL.MASK_FORMER.NUM_OBJECT_QUERIES
is modified. You will need to train the model again if you want to use different MODEL.MASK_FORMER.NUM_OBJECT_QUERIES
.
from mask2former.
@bowenc0221 Thanks for your answer.
But I got this error.
RuntimeError: Error(s) in loading state_dict for MaskFormer:
size mismatch for sem_seg_head.predictor.query_feat.weight: copying a param with shape torch.Size([100, 256]) from checkpoint, the shape in current model is torch.Size([30, 256]).
I use pre-trained model weights to train my custom dataset, and I modified MODEL.MASK_FORMER.NUM_OBJECT_QUERIES = 30 , but it dosen't work. So you mean that I can't use pre-trained model to fine tune on my custom dataset?
from mask2former.
As the error suggests, the pre-trained model you use has 100 queries instead of 30.
from mask2former.
Related Issues (20)
- 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?
- RuntimeError: d.is_cuda() INTERNAL ASSERT FAILED
- Setup up for fine-tuning of mask2former for binary segmentation using low-rank adaptation
- Division by zero caused by mask operation
- AP/AR result from the inference results.json in video instance segmentation
- how to understand predicting mask_embed using only query_feat
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.