Computer Vision application in the web

Related tags

Deep Learning python machine-learning computer-vision webapp yolo object-detection streamlit
Overview

Computer Vision application in the web

Preview

Usage

  • Clone this repo 
    git clone https://github.com/amineHY/WebApp-Computer-Vision-streamlit.git

cd WebApp-Computer-Vision-streamlit
  • Install dependencies 
    pip3 install -r requirements.txt
  • Run the app on your local machine 
    streamlit run main.py

Run inside Docker

Pull the docker-streamlit-app image (available in Github)

dockr pull aminehy/docker-streamlit-app:latest

then run with

docker run -ti --rm -v $(pwd):/app aminehy/docker-streamlit-app:latest

Video supports

=> www.inveesion.com

Want to contribute ?

This is an open source project, so you can contribute to this project by creating an issue than a pull request.

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Comments
  • Bump opencv-python from 4.1.1.26 to 4.2.0.32

    Bump opencv-python from 4.1.1.26 to 4.2.0.32

    Bumps opencv-python from 4.1.1.26 to 4.2.0.32.

    Release notes

    Sourced from opencv-python's releases.

    4.2.0.32

    OpenCV version 4.2.0.

    Changes:

    • macOS environment updated from xcode8.3 to xcode 9.4
    • macOS uses now Qt 5 instead of Qt 4
    • Nasm version updated to Docker containers
    • multibuild updated

    Fixes:

    • don't use deprecated brew tap-pin, instead refer to the full package name when installing #267
    • replace get_config_var() with get_config_vars() in setup.py #274
    • add workaround for DLL errors in Windows Server #264

    4.1.2.30

    OpenCV version 4.1.2.

    Changes:

    • Python 3.8 builds added to the build matrix
    • Support for Python 3.4 builds dropped (Python 3.4 is in EOL)
    • multibuild updated
    • minor build logic changes
    • Docker images rebuilt

    Notes:

    Please note that Python 2.7 enters into EOL phase in January 2020. opencv-python Python 2.7 wheels won't be provided after that.

    Commits

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    You can disable automated security fix PRs for this repo from the Security Alerts page.

    dependencies 
    opened by dependabot[bot] 0
  • UnhashableType: Cannot hash object of type _io.BytesIO

    UnhashableType: Cannot hash object of type _io.BytesIO 

    @st.cache(hash_funcs={_io.BytesIO: my_hash_func})
def my_func(...):

Traceback:
  File "C:\Users\Infogen\Desktop\Learn\streamlit\WebApp-Computer-Vision-streamlit\main.py", line 53, in <module>
    main()
  File "C:\Users\Infogen\Desktop\Learn\streamlit\WebApp-Computer-Vision-streamlit\main.py", line 44, in main
    imageWebApp(guiParam)
  File "C:\Users\Infogen\Desktop\Learn\streamlit\WebApp-Computer-Vision-streamlit\main.py", line 23, in imageWebApp
    image = conf.load_image_or_video()
  File "C:\Users\Infogen\Desktop\Learn\streamlit\WebApp-Computer-Vision-streamlit\libraries\utils.py", line 415, in load_image_or_video
    self.data = self.load_image_source()
  File "C:\Users\Infogen\Desktop\Learn\streamlit\WebApp-Computer-Vision-streamlit\libraries\utils.py", line 369, in load_image_source
    self.image = load_image_from_upload(file_path)
  File "d:\programdata\anaconda3\envs\stream\lib\copyreg.py", line 66, in _reduce_ex
    raise TypeError(f"cannot pickle {cls.__name__!r} object")
    opened by Ajinkz 3
Owner
Amine Hadj-Youcef. PhD
I LOVE solving problems using code and mathematics. I enjoy sharing my work to benefit others, let's connect.
Amine Hadj-Youcef. PhD
GitHub https://www.inveesion.com
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