Main segmentation project from the paper "Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation" published at CVPR 2022
Home Page: https://ditto.ing.unimore.it/maxillo/dataset/
Hi,
I am having trouble testing the model PosPadUNet3D using a similar conf.yaml that you provided.
title: alveolar_canal_finetuning
project_dir: 'results'
seed: 47
experiment:
name: Segmentation
data_loader:
dataset: IAN_Maxillo_dataset\dataset_for_public
training_set: null
preprocessing: configs/preprocessing.yaml
augmentations: configs/augmentations.yaml
background_suppression: 0
batch_size: 1
labels:
BACKGROUND: 0
INSIDE: 1
mean: 0.08435
num_workers: 4
patch_shape:
- 80
- 80
- 80
resize_shape:
- 168
- 280
- 360
sampler_type: grid
grid_overlap: 0
std: 0.17885
volumes_max: 2100
volumes_min: 0
weights:
- 0.000703
- 0.999
model:
name: PosPadUNet3D
loss:
name: Jaccard
lr_scheduler:
name: Plateau
optimizer:
learning_rate: 0.1
name: Adam
trainer:
reload: True
checkpoint: checkpoints\last-seg-pretraining.pth
do_train: False
do_test: True
do_inference: False
epochs: 100
But still end with theses metrics :
wandb: Run summary:
wandb: Epoch 29
wandb: Test/Dice 0.0
wandb: Test/IoU 0.0
wandb: Test/Loss 1.0
PS : Sorry, I created a new issue here. Because I could not create one on AImagelab-zip repository.
Can you please help me.
Regards,
Hamid FSIAN
Hello,
First of all, I found your paper really intresting. Also, thank's for sharing your code.
I was wondering if it is possible to share the weights of your novel segmentation network.
Thank's
Hi,
When testing the model PosPadUNet3D with checkpoints you made available (thank's). I am having a Dice=0.0 and Loss=1. Here is the yaml file that I am using.
title: alveolar_canal_finetuning
project_dir: 'results'
seed: 47
experiment:
name: Segmentation
data_loader:
dataset: IAN_Maxillo_dataset\dataset_for_public
training_set: null
preprocessing: configs/preprocessing.yaml
augmentations: configs/augmentations.yaml
background_suppression: 0
batch_size: 6
labels:
BACKGROUND: 0
INSIDE: 1
mean: 0.08435
num_workers: 4
patch_shape:
- 80
- 80
- 80
resize_shape:
- 168
- 280
- 360
sampler_type: grid
grid_overlap: 0
std: 0.17885
volumes_max: 2100
volumes_min: 0
weights:
- 0.000703
- 0.999
model:
name: PosPadUNet3D
loss:
name: Jaccard
lr_scheduler:
name: Plateau
optimizer:
learning_rate: 0.1
name: SGD
trainer:
reload: False
checkpoint: checkpoints\last-seg-pretraining.pth #waht you made available
do_train: False
do_test: True
do_inference: True
epochs: 100Do you have any idea why it is not working as expected ?
Regards,
HF
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
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.