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Load images, resize to 64x64 and cache as .npz

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#6 0 comments 0 reactions 0 assignees View on GitHub

@Sandali0726 is already working on this.

Since Oct 11, 2026.

Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
55/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
numpy, python
Domain
data

Research direction

Work in src/data.py, adding load_raw_images(root) and get_dataset(). Issue #5 is listed as a dependency, so check whether it has landed and what it provides for locating the 256x256 originals before you start. Done means get_dataset() returns X with shape (3000, 64, 64, 3) and labels 0/1/2 with 1000 each, and the data/animals64.npz cache is written once and reused on later calls.

Written by the indexing model from the issue text.

Description

data

Resize the 256x256 originals to 64x64 (bilinear) to emulate an edge camera; cache to avoid re-resizing.

Files: src/data.py

Tasks
  • load_raw_images(root) -> X uint8 (N,64,64,3), y int64 (N,)
  • get_dataset() builds data/animals64.npz once, loads it afterwards
  • Convert every image to RGB before resizing
Done when

get_dataset() returns X with shape (3000, 64, 64, 3) and labels 0/1/2, 1000 each.

Depends on

#5

Close with a commit or PR message containing Closes #<this issue>.

Dominant language
Jupyter Notebook
Stars
0
Forks
0
Avg merge
1m
Merged PRs (30d)
3

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First steps

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