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1156 scenes
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
`torch_dtype` is deprecated! Use `dtype` instead!
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encode: 96%|█████████▋| 186/193 [00:22<00:00, 8.62it/s]
encode: 97%|█████████▋| 187/193 [00:22<00:00, 8.81it/s]
encode: 98%|█████████▊| 189/193 [00:22<00:00, 8.71it/s]
encode: 98%|█████████▊| 190/193 [00:23<00:00, 8.16it/s]
encode: 99%|█████████▉| 191/193 [00:23<00:00, 8.47it/s]
encode: 99%|█████████▉| 192/193 [00:23<00:00, 8.62it/s]
encode: 100%|██████████| 193/193 [00:23<00:00, 8.27it/s]
18496 region crops encoded
256 evaluated, 900 for fitting
{
"protocol": "DIAGNOSTIC, NOT A METHOD. Each annotated region box is encoded as a crop and paired with its own description, so the two modalities carry the same parts in the same order. That box-to-phrase link is cross-modal supervision a deployed system would not have.",
"scenes": 256,
"mean_parts": 15.95703125,
"correlation": 0.6646459453410474,
"anchor_bound_with_part_oracle": 0.359375,
"anchor_bound_unsupervised_reference": 0.336,
"within_modality_ceiling_text": 0.805,
"reading": "A large jump means part correspondence is the whole problem and is an engineering target. Staying near 0.336 means the two encoders do not covary at the part level either, and no aggregation rescues this corpus."
}
|
