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Prepare Lite for Core Migration #783
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lite/benchmarks/benchmark_objdet.py
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@@ -8,7 +8,7 @@ | |||
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import requests | |||
from tqdm import tqdm | |||
from valor_lite.detection import DataLoader, MetricType | |||
from valor_lite.cv.detection import DataLoader, MetricType |
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the "CV" bucket doesn't feel MECE: if the user does pip install valor-<name>[cv]
(from your example yesterday), they'd expect classification to be installed too. why not leave classification, detection, and segmentation as-is (i.e., not grouping them under CV), but group the LLM metrics separately under NLP?
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Polling for feedback on flattening the import structure!
As for the custom installs, I feel thats something we can deal with at a later point.
Changes
detection
toobject_detection
segmentation
tosemantic_segmentation