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dinocut

A image processing pipline for object detection using Grounding Dino, SAM, and BG Cut

https://github.com/nalaquq/dinocut

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

A image processing pipline for object detection using Grounding Dino, SAM, and BG Cut

Basic Info
  • Host: GitHub
  • Owner: Nalaquq
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 14.6 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.Docker.md

Building and running your application

When you're ready, start your application by running: docker compose up --build.

Your application will be available at http://localhost:8000.

Deploying your application to the cloud

First, build your image, e.g.: docker build -t myapp .. If your cloud uses a different CPU architecture than your development machine (e.g., you are on a Mac M1 and your cloud provider is amd64), you'll want to build the image for that platform, e.g.: docker build --platform=linux/amd64 -t myapp ..

Then, push it to your registry, e.g. docker push myregistry.com/myapp.

Consult Docker's getting started docs for more detail on building and pushing.

References

Owner

  • Name: Nalaquq
  • Login: Nalaquq
  • Kind: user
  • Location: Quinhagak, Alaska
  • Company: Nalaquq, LLC

Nalaquq, LLC is an Alaskan Native business that empowers communities in the Yukon-Kuskokwim Delta and beyond to manage and protect ancestral lands.

Citation (citation.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "Co-Author 1"
  - name: "Co-Author 2"
title: "DinoCut"
date-released: 2024-05-30
url: "https://github.com/Nalaquq/DINOcut.git"
license: Apache-2.0

GitHub Events

Total
  • Watch event: 1
  • Push event: 2
Last Year
  • Watch event: 1
  • Push event: 2

Dependencies

requirements.txt pypi
  • Jinja2 ==3.1.3
  • MarkupSafe ==2.1.5
  • PyYAML ==6.0.1
  • addict ==2.4.0
  • albumentations ==1.4.4
  • annotated-types ==0.6.0
  • black ==24.4.1
  • certifi ==2024.2.2
  • charset-normalizer ==3.3.2
  • click ==8.1.7
  • contourpy ==1.2.1
  • cycler ==0.12.1
  • defusedxml ==0.7.1
  • filelock ==3.13.4
  • fonttools ==4.51.0
  • fsspec ==2024.3.1
  • groundingdino ==0.1.0
  • huggingface-hub ==0.22.2
  • idna ==3.7
  • imageio ==2.34.1
  • importlib_metadata ==7.1.0
  • joblib ==1.4.0
  • kiwisolver ==1.4.5
  • lazy_loader ==0.4
  • matplotlib ==3.8.4
  • mpmath ==1.3.0
  • mypy-extensions ==1.0.0
  • networkx ==3.3
  • numpy ==1.26.4
  • nvidia-cublas-cu12 ==12.1.3.1
  • nvidia-cuda-cupti-cu12 ==12.1.105
  • nvidia-cuda-nvrtc-cu12 ==12.1.105
  • nvidia-cuda-runtime-cu12 ==12.1.105
  • nvidia-cudnn-cu12 ==8.9.2.26
  • nvidia-cufft-cu12 ==11.0.2.54
  • nvidia-curand-cu12 ==10.3.2.106
  • nvidia-cusolver-cu12 ==11.4.5.107
  • nvidia-cusparse-cu12 ==12.1.0.106
  • nvidia-nccl-cu12 ==2.20.5
  • nvidia-nvjitlink-cu12 ==12.4.127
  • nvidia-nvtx-cu12 ==12.1.105
  • opencv-python ==4.9.0.80
  • opencv-python-headless ==4.9.0.80
  • packaging ==24.0
  • pathspec ==0.12.1
  • pillow ==10.3.0
  • platformdirs ==4.2.1
  • pycocotools ==2.0.7
  • pydantic ==2.7.1
  • pydantic_core ==2.18.2
  • pyparsing ==3.1.2
  • python-dateutil ==2.9.0.post0
  • regex ==2024.4.16
  • requests ==2.31.0
  • safetensors ==0.4.3
  • scikit-image ==0.23.2
  • scikit-learn ==1.4.2
  • scipy ==1.13.0
  • segment-anything ==1.0
  • six ==1.16.0
  • supervision ==0.6.0
  • sympy ==1.12
  • threadpoolctl ==3.4.0
  • tifffile ==2024.4.24
  • timm ==0.9.16
  • tokenizers ==0.19.1
  • tomli ==2.0.1
  • torch ==2.3.0
  • torchaudio ==2.3.0
  • torchvision ==0.18.0
  • tqdm ==4.66.2
  • transformers ==4.40.1
  • triton ==2.3.0
  • typing_extensions ==4.11.0
  • urllib3 ==2.2.1
  • yapf ==0.40.2
  • zipp ==3.18.1
setup.py pypi
Dockerfile docker
  • pytorch/pytorch 2.1.2-cuda12.1-cudnn8-runtime build