Awesome

<div align="center"> <h1>FGVP: Fine-Grained Visual Prompting</h1> </div>

Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023

Install

Our code is built upon ReClip. The installation instructions and the preparation of datasets are the same as the ReClip repository.

FGVP

<p align="center"> <img src="assets/fig_visual_prompt.png" width="100%"></p> A Summary of visual prompts with the caption "elephant on the left". <br>

Results

Method	VLM	Visual Prompt	Post Processing	Command	RefCOCO val	RefCOCO+ val	RefCOCOg val
CPT-adapted	ViT-B/32, RN50x16	$B2$	R	link	41.3	41.3	51.3
ReCLIP	ViT-B/32, RN50x16	$P{\ \| \ }B4$	R	link	45.8	47.9	59.3
RedCircle	ViT-B/32, RN50x16	$P{\ \| \ }C1$	R	link	43.9	45.3	57.3
FGVP (ours)	ViT-B/32, RN50x16	$P{\ \| \ }D4$	R	link	52.0	53.3	62.1
RedCircle (reported in paper)	ViT-L/14@336px, RN50x16	$C1{\ \| \ }C3{\ \| \ }C4$	S	--	49.8	55.3	59.4
RedCircle	ViT-L/14@336px, RN50x16	$C1{\ \| \ }C3{\ \| \ }C4$	S	link	51.4	56.3	58.3
FGVP (ours)	ViT-L/14@336px, RN50x16	$D1{\ \| \ }D3{\ \| \ }D4$	S	link	52.9	57.4	58.1
RedCircle	ViT-L/14@336px, RN50x16	$P{\ \| \ }C1{\ \| \ }C3{\ \| \ }C4$	S	link	51.6	58.1	60.0
FGVP (ours)	ViT-L/14@336px, RN50x16	$P{\ \| \ }D1{\ \| \ }D3{\ \| \ }D4$	S	link	53.9	59.3	61.0
RedCircle	ViT-L/14@336px, RN50x16	$P{\ \| \ }C1{\ \| \ }C3{\ \| \ }C4$	RS	link	56.8	58.6	62.2
FGVP (ours)	ViT-L/14@336px, RN50x16	$P{\ \| \ }D1{\ \| \ }D3{\ \| \ }D4$	RS	link	59.6	60.0	63.3

Inference Single Image

We simply offer an inference script for a single image without post-processing.

# example 1
python fgvp-reclip/simple_inference.py \
    --img_dir demo/exp1/ori.png \
    --text 'apple on the left' 'apple in the middle' 'broccoli' 'raspberries' 'grossum' 'glass bowl' \
    --out_dir demo/exp1 \
    --sam_prompt grid

# example 2
python fgvp-reclip/simple_inference.py \
    --img_dir demo/exp2/ori.png \
    --out_dir demo/exp2 \
    --text 'photo on the wall' \
    --sam_prompt grid

You can provide proposal boxes derived from other detectors to achieve better localization. Save your bounding boxes in a JSON file and specify it with --candidate_boxes.

# example
python fgvp-reclip/simple_inference.py \
    --img_dir demo/exp1/ori.png \
    --text 'apple on the left' 'apple in the middle' 'broccoli' 'raspberries' 'grossum' 'glass bowl' \
    --out_dir demo/exp1 \
    --sam_prompt box \
    --candidate_boxes demo/exp1/candidate_boxes.json