FluxML / FluxML/DataAugmentation.jl
make the transforms callable
Open
- Dominant language
- Julia
- Stars
- 46
- Forks
- 18
- PR merge metrics
- No merged PRs in 30d
Description
For convenience, it would be nice to have
```
tfm = FlipX()
newimg = tfm(img) # equivalent to apply(tfm, img)
```
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the transform definitions and the existing apply(tfm, img) entry point. Make transform instances callable with the same result as apply, then add or update tests showing tfm(img) is equivalent to apply(tfm, img).
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100