Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add ML training for EcalEndcapNClusterParticleIDs #91

Merged
merged 1 commit into from
Nov 26, 2024
Merged

Conversation

veprbl
Copy link
Member

@veprbl veprbl commented Oct 18, 2024

This is a training script for eic/EICrecon#1618

@veprbl veprbl merged commit 26b2146 into master Nov 26, 2024
3 checks passed
@veprbl veprbl deleted the pr/ml_training branch November 26, 2024 08:27
github-merge-queue bot pushed a commit to eic/EICrecon that referenced this pull request Dec 1, 2024
…icleIDs (#1618)

### Briefly, what does this PR introduce?

<img width="582" alt="image"
src="https://github.com/user-attachments/assets/a8c0aa47-e64f-4008-9702-444c6992ca3d">

This provides a calorimeter PID capability using ONNXruntime inference
engine. The inference algorithm is generalized into a separate algorithm
which inputs and outputs `edm4eic::Tensor` values introduced by
eic/EDM4eic#96.

A set of weights needed to run this are provided in
eic/epic-data#22, and is generated using a
script from eic/detector_benchmarks#91.

### What kind of change does this PR introduce?
- [ ] Bug fix (issue #__)
- [x] New feature (issue #__)
- [ ] Documentation update
- [ ] Other: __

### Please check if this PR fulfills the following:
- [ ] Tests for the changes have been added
- [ ] Documentation has been added / updated
- [ ] Changes have been communicated to collaborators

### Does this PR introduce breaking changes? What changes might users
need to make to their code?
No

### Does this PR change default behavior?
Yes
github-merge-queue bot pushed a commit to eic/EICrecon that referenced this pull request Dec 1, 2024
…icleIDs (#1618)

### Briefly, what does this PR introduce?

<img width="582" alt="image"
src="https://github.com/user-attachments/assets/a8c0aa47-e64f-4008-9702-444c6992ca3d">

This provides a calorimeter PID capability using ONNXruntime inference
engine. The inference algorithm is generalized into a separate algorithm
which inputs and outputs `edm4eic::Tensor` values introduced by
eic/EDM4eic#96.

A set of weights needed to run this are provided in
eic/epic-data#22, and is generated using a
script from eic/detector_benchmarks#91.

### What kind of change does this PR introduce?
- [ ] Bug fix (issue #__)
- [x] New feature (issue #__)
- [ ] Documentation update
- [ ] Other: __

### Please check if this PR fulfills the following:
- [ ] Tests for the changes have been added
- [ ] Documentation has been added / updated
- [ ] Changes have been communicated to collaborators

### Does this PR introduce breaking changes? What changes might users
need to make to their code?
No

### Does this PR change default behavior?
Yes
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant