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توضیحات

Warp, morph and average human faces!

ویژگی	مقدار
سیستم عامل	-
نام فایل	facemorpher-5.2.dev0
نام	facemorpher
نسخه کتابخانه	5.2.dev0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Alyssa Quek
ایمیل نویسنده	alyssaquek@gmail.com
آدرس صفحه اصلی	https://github.com/alyssaq/face_morpher
آدرس اینترنتی	https://pypi.org/project/facemorpher/
مجوز	MIT

Face Morpher ============ | Warp, average and morph human faces! | Scripts will automatically detect frontal faces and skip images if none is detected. Built with Python, OpenCV, Numpy, Scipy, Stasm. | Supported on Python 2.7, Python 3.6+ and OpenCV >= 3 (tested with OpenCV 3.4.1) | Tested on macOS Mojave and 64bit Linux (dockerized). Requirements -------------- - Install `OpenCV`_: `Mac installation steps`_ - Note: OpenCV must be installed either from `Homebrew`_ or `source`_ as stasm requires the library files. - ``pip install -r requirements.txt`` Either: - `Use as local command-line utility`_ - `Use as pip library`_ - `Try out in a docker container`_ .. _`Use as local command-line utility`: Use as local command-line utility --------------------------------- :: $ git clone https://github.com/alyssaq/face_morpher Morphing Faces -------------- Morph from a source to destination image: :: python facemorpher/morpher.py --src=<src_imgpath> --dest=<dest_imgpath> --plot Morph through a series of images in a folder: :: python facemorpher/morpher.py --images=<folder> --out_video=out.avi All options listed in ``morpher.py`` (pasted below): :: Morph from source to destination face or Morph through all images in a folder Usage: morpher.py (--src=<src_path> --dest=<dest_path> | --images=<folder>) [--width=<width>] [--height=<height>] [--num=<num_frames>] [--fps=<frames_per_second>] [--out_frames=<folder>] [--out_video=<filename>] [--plot] [--background=(black|transparent|average)] Options: -h, --help Show this screen. --src=<src_imgpath> Filepath to source image (.jpg, .jpeg, .png) --dest=<dest_imgpath> Filepath to destination image (.jpg, .jpeg, .png) --images=<folder> Folderpath to images --width=<width> Custom width of the images/video [default: 500] --height=<height> Custom height of the images/video [default: 600] --num=<num_frames> Number of morph frames [default: 20] --fps=<fps> Number frames per second for the video [default: 10] --out_frames=<folder> Folder path to save all image frames --out_video=<filename> Filename to save a video --plot Flag to plot images [default: False] --background=<bg> Background of images to be one of (black|transparent|average) [default: black] --version Show version. Averaging Faces --------------- Average faces from all images in a folder: :: python facemorpher/averager.py --images=<images_folder> --out=average.png All options listed in ``averager.py`` (pasted below): :: Face averager Usage: averager.py --images=<images_folder> [--blur] [--plot] [--background=(black|transparent|average)] [--width=<width>] [--height=<height>] [--out=<filename>] [--destimg=<filename>] Options: -h, --help Show this screen. --images=<folder> Folder to images (.jpg, .jpeg, .png) --blur Flag to blur edges of image [default: False] --width=<width> Custom width of the images/video [default: 500] --height=<height> Custom height of the images/video [default: 600] --out=<filename> Filename to save the average face [default: result.png] --destimg=<filename> Destination face image to overlay average face --plot Flag to display the average face [default: False] --background=<bg> Background of image to be one of (black|transparent|average) [default: black] --version Show version. Steps (facemorpher folder) -------------------------- 1. Locator ^^^^^^^^^^ - Locates face points (using `stasm`_) - For a different locator, return an array of (x, y) control face points 2. Aligner ^^^^^^^^^^ - Align faces by resizing, centering and cropping to given size 3. Warper ^^^^^^^^^ - Given 2 images and its face points, warp one image to the other - Triangulates face points - Affine transforms each triangle with bilinear interpolation 4a. Morpher ^^^^^^^^^^^ - Morph between 2 or more images 4b. Averager ^^^^^^^^^^^^ - Average faces from 2 or more images Blender ^^^^^^^ Optional blending of warped image: - Weighted average - Alpha feathering - Poisson blend Examples - `Being John Malkovich`_ ---------------------------------- Create a morphing video between the 2 images: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | ``> python facemorpher/morpher.py --src=alyssa.jpg --dest=john_malkovich.jpg`` | ``--out_video=out.avi`` (out.avi played and recorded as gif) .. figure:: https://raw.github.com/alyssaq/face_morpher/master/examples/being_john_malvokich.gif :alt: gif Save the frames to a folder: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | ``> python facemorpher/morpher.py --src=alyssa.jpg --dest=john_malkovich.jpg`` | ``--out_frames=out_folder --num=30`` Plot the frames: ^^^^^^^^^^^^^^^^ | ``> python facemorpher/morpher.py --src=alyssa.jpg --dest=john_malkovich.jpg`` | ``--num=12 --plot`` .. figure:: https://raw.github.com/alyssaq/face_morpher/master/examples/plot.png :alt: plot Average all face images in a folder: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 85 images used | ``> python facemorpher/averager.py --images=images --blur --background=transparent`` | ``--width=220 --height=250`` .. figure:: https://raw.github.com/alyssaq/face_morpher/master/examples/average_faces.png :alt: average\_faces .. _`Use as pip library`: Use as pip library --------------------------------- :: $ pip install facemorpher Examples ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Additional options are exactly the same as the command line :: import facemorpher # Get a list of image paths in a folder imgpaths = facemorpher.list_imgpaths('imagefolder') # To morph, supply an array of face images: facemorpher.morpher(imgpaths, plot=True) # To average, supply an array of face images: facemorpher.averager(['image1.png', 'image2.png'], plot=True) Once pip installed, 2 binaries are also available as a command line utility: :: $ facemorpher --src=<src_imgpath> --dest=<dest_imgpath> --plot $ faceaverager --images=<images_folder> --plot Try out in a docker container --------------------------------- Mount local folder to `/images` in docker container, run it and enter a bash session. --rm removes the container when you close it. :: $ docker run -v /Users/alyssa/Desktop/images:/images --name py3 --rm -it jjanzic/docker-python3-opencv bash Once you're in the container, install ``facemorpher`` and try the examples listed above :: root@0dad0912ebbe:/# pip install facemorpher root@0dad0912ebbe:/# facemorpher --src=<img1> --dest=<img2> --plot Details ------------ - Face points are detected with stasm. This library relies on the `python wrapper around stasm`_. Documentation ------------- http://alyssaq.github.io/face_morpher Build & publish Docs ^^^^^^^^^^^^^^^^^^^^ :: ./scripts/publish_ghpages.sh License ------- `MIT`_ .. _Being John Malkovich: http://www.rottentomatoes.com/m/being_john_malkovich .. _Mac installation steps: https://gist.github.com/alyssaq/f60393545173379e0f3f#file-4-opencv3-with-python3-md .. _MIT: http://alyssaq.github.io/mit-license .. _OpenCV: http://opencv.org .. _Homebrew: https://brew.sh .. _source: https://github.com/opencv/opencv .. _python wrapper around stasm: https://github.com/alyssaq/stasm .. _stasm: http://www.milbo.users.sonic.net/stasm

نیازمندی

مقدار	نام
-	docopt
-	matplotlib
-	numpy
-	scipy
-	stasm

نحوه نصب

نصب پکیج whl facemorpher-5.2.dev0:

pip install facemorpher-5.2.dev0.whl

نصب پکیج tar.gz facemorpher-5.2.dev0:

pip install facemorpher-5.2.dev0.tar.gz