README.md

Grounding DINO

Input

• image

  (Image from https://github.com/IDEA-Research/Grounded-Segment-Anything/blob/main/assets/demo7.jpg)

• prompt

  Horse. Clouds. Grasses. Sky. Hill.
  

Output

Requirements

This model requires additional module.

pip3 install ailia_tokenizer

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 groundingdino.py

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 groundingdino.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

If you want to specify the caption for detection, put the caption after the --caption option. If you want to detect multiple objects in one sentence, we suggest separating each name with . . An example: cat. dog. chair.

$ python3 groundingdino.py --caption "Horse. Clouds. Grasses. Sky. Hill."

Reference

• Grounding DINO

Framework

Pytorch

Model Format

ONNX opset=17

Netron

swin_tiny_bert.onnx.prototxt