drivendataorg / drivendataorg/zamba

Attach image transforms to model

Open
#369 1 comment 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
163
Forks
40
PR merge metrics
No merged PRs in 30d

Description

Right now, some of the image transforms are hard coded. The transform configuration should be attached to the model, so model-dependent things like normalization come through with the model itself.

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_Copied from [drivendataorg/zamba-wildlabs #67](https://github.com/drivendataorg/zamba-wildlabs/issues/67)_

Contributor guide

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Research direction

Start by locating the hard-coded image transforms and the model construction or configuration entry points. Trace how normalization and other model-dependent settings are currently selected. Done means the transform configuration travels with the model rather than being maintained separately, with existing image-processing behavior preserved.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
computer-vision, machine-learning
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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