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ldy 2025-06-13 07:13:03 +00:00
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@ -14,4 +14,4 @@ We derived the image embeddings by using a CLIP encoder and mapping it with the
Replace **image-dir** and **llava-ckpt** to your **test image folder addr** and **pytorch_model-00003-of-00003.bin addr** and run:
`python convert_images_to_vectors.py --image-dir ./datasets/coco/val2017 --output-dir imgVecs --vision-model openai/clip-vit-large-patch14-336 --proj-dim 5120 --llava-ckpt ./datasets/pytorch_model-00003-of-00003.bin --batch-size 64`
`python starter.py --image-dir ./datasets/coco/val2017 --output-dir imgVecs --vision-model openai/clip-vit-large-patch14-336 --proj-dim 5120 --llava-ckpt ./datasets/pytorch_model-00003-of-00003.bin --batch-size 64`