Skip to content

This project is based on detecting the eyes and face of human using opencv library which is easy to understand the concept

Notifications You must be signed in to change notification settings

GundeepSinghGulati/Face_Detection_opencv

Repository files navigation

Face_Detection_opencv

This project is based on detecting the eyes and face of human using opencv library which is easy to understand.

required libraries:- name: virtual_platform channels:

  • menpo
  • conda-forge
  • peterjc123
  • defaults dependencies:
  • ffmpeg=3.2.4=1
  • freetype=2.7=vc14_1
  • imageio=2.2.0=py35_0
  • libtiff=4.0.6=vc14_7
  • olefile=0.44=py35_0
  • pillow=4.2.1=py35_0
  • vc=14=0
  • alabaster=0.7.10=py35_0
  • astroid=1.5.3=py35_0
  • babel=2.5.0=py35_0
  • bleach=1.5.0=py35_0
  • certifi=2016.2.28=py35_0
  • cffi=1.10.0=py35_0
  • chardet=3.0.4=py35_0
  • colorama=0.3.9=py35_0
  • decorator=4.1.2=py35_0
  • docutils=0.14=py35_0
  • entrypoints=0.2.3=py35_0
  • html5lib=0.9999999=py35_0
  • icu=57.1=vc14_0
  • imagesize=0.7.1=py35_0
  • ipykernel=4.6.1=py35_0
  • ipython=6.1.0=py35_0
  • ipython_genutils=0.2.0=py35_0
  • isort=4.2.15=py35_0
  • jedi=0.10.2=py35_2
  • jinja2=2.9.6=py35_0
  • jpeg=9b=vc14_0
  • jsonschema=2.6.0=py35_0
  • jupyter_client=5.1.0=py35_0
  • jupyter_core=4.3.0=py35_0
  • lazy-object-proxy=1.3.1=py35_0
  • libpng=1.6.30=vc14_1
  • markupsafe=1.0=py35_0
  • mistune=0.7.4=py35_0
  • mkl=2017.0.3=0
  • nbconvert=5.2.1=py35_0
  • nbformat=4.4.0=py35_0
  • numpy=1.13.1=py35_0
  • numpydoc=0.7.0=py35_0
  • openssl=1.0.2l=vc14_0
  • pandocfilters=1.4.2=py35_0
  • path.py=10.3.1=py35_0
  • pickleshare=0.7.4=py35_0
  • pip=9.0.1=py35_1
  • prompt_toolkit=1.0.15=py35_0
  • psutil=5.2.2=py35_0
  • pycodestyle=2.3.1=py35_0
  • pycparser=2.18=py35_0
  • pyflakes=1.6.0=py35_0
  • pygments=2.2.0=py35_0
  • pylint=1.7.2=py35_0
  • pyqt=5.6.0=py35_2
  • python=3.5.4=0
  • python-dateutil=2.6.1=py35_0
  • pytz=2017.2=py35_0
  • pyzmq=16.0.2=py35_0
  • qt=5.6.2=vc14_6
  • qtawesome=0.4.4=py35_0
  • qtconsole=4.3.1=py35_0
  • qtpy=1.3.1=py35_0
  • requests=2.14.12=py35_0
  • rope=0.9.4=py35_1
  • setuptools=36.4.0=py35_1
  • simplegeneric=0.8.1=py35_1
  • singledispatch=3.4.0.3=py35_0
  • sip=4.18=py35_0
  • six=1.10.0=py35_1
  • snowballstemmer=1.2.1=py35_0
  • sphinx=1.6.3=py35_0
  • sphinxcontrib=1.0=py35_0
  • sphinxcontrib-websupport=1.0.1=py35_0
  • spyder=3.2.3=py35_0
  • testpath=0.3.1=py35_0
  • tornado=4.5.2=py35_0
  • traitlets=4.3.2=py35_0
  • vs2015_runtime=14.0.25420=0
  • wcwidth=0.1.7=py35_0
  • wheel=0.29.0=py35_0
  • win_unicode_console=0.5=py35_0
  • wincertstore=0.2=py35_0
  • wrapt=1.10.11=py35_0
  • zlib=1.2.11=vc14_0
  • opencv3=3.1.0=py35_0
  • pytorch=0.1.12=py35_0.1.12cu80
  • pip:
    • ipython-genutils==0.2.0
    • jupyter-client==5.1.0
    • jupyter-core==4.3.0
    • prompt-toolkit==1.0.15
    • pyyaml==3.12
    • rope-py3k==0.9.4.post1
    • torch==0.1.12
    • torchvision==0.1.9
    • win-unicode-console==0.5

any query mail me [email protected]

About

This project is based on detecting the eyes and face of human using opencv library which is easy to understand the concept

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages