Some of these require Python Imaging Library (Pillow or PIL), Open Source Computer
Vision (OpenCV) or ImageMagick's convert command. Some requirements can be installed
via pip:
pip install -r requirements.txt
See some images that used this at Flickr.
usage: blockit.py [-h] [-i INSPEC] [-r] [-o OUTFILE] [-W pixels] [-H pixels]
[-b pixels] [-bw pixels] [-bh pixels] [-v] [-z] [-s]
Create image from blocks of other images. Requires PIL.
optional arguments:
-h, --help show this help message and exit
-i INSPEC, --inspec INSPEC
Input file spec (default: 2*.jpg)
-r, --recursive Recurse directories (default: False)
-o OUTFILE, --outfile OUTFILE
Output filename (default: None)
-W pixels, --outwidth pixels
Width of output image (default: 640)
-H pixels, --outheight pixels
Height of output image (default: 320)
-b pixels, --blocksize pixels
Size of square block (default: 10)
-bw pixels, --blockwidth pixels
Width of block (instead of blocksize) (default: None)
-bh pixels, --blockheight pixels
Height of block (instead of blocksize) (default: None)
-v, --vertical Vertical stripes (instead of blocksize/blockheight)
(default: False)
-z, --horizontal Horizontal stripes (instead of blocksize/blockwidth)
(default: False)
-s, --show Show image when done (default: False)
See some images that used this at Flickr.
usage: colour_clock.py [-h] [-o OUTFILE] input
Make a colour clock of the five most dominant colours on each page of a book
positional arguments:
input An input PDF, or file spec of images (eg *.jpg)
optional arguments:
-h, --help show this help message and exit
-o OUTFILE, --outfile OUTFILE
Output filename (default: None)
See some images that used this at Flickr.
usage: contact_sheet.py [-h] [-i INSPEC] [-v] [-o OUTFILE] [-r ROWS] [-c COLS]
[-a ASPECT_RATIO] [-t pixels] [-hs] [-qs] [-m MARGINS]
[-p pixels] [-q QUALITY]
Make a contact sheet. Requires PIL.
optional arguments:
-h, --help show this help message and exit
-i INSPEC, --inspec INSPEC
Input file spec (default: *.jpg)
-v, --reverse Reverse list of input files (default: False)
-o OUTFILE, --outfile OUTFILE
Output filename (default: contact_sheet.jpg)
-r ROWS, --rows ROWS Number of rows (default: None)
-c COLS, --cols COLS Number of columns (default: None)
-a ASPECT_RATIO, --aspect_ratio ASPECT_RATIO
Calculate rows and columns to approximate this aspect
ratio (eg 16,9) (default: None)
-t pixels, --thumbsize pixels
Width,height tuple of the photo thumbs (default: None)
-hs, --half Shortcut to calculate --thumbsize as half input size
(default: False)
-qs, --quarter Shortcut to calculate --thumbsize as quarter input
size (default: False)
-m MARGINS, --margins MARGINS
Margins (default: 5)
-p pixels, --padding pixels
Padding between images (default: 1)
-q QUALITY, --quality QUALITY
Output image's save quality (default: 90)
See also framify.py.
usage: deframify.py [-h] [-i spec] [-r fps] [-o filename]
Wrapper around ffmpeg to animate frames into a video.
optional arguments:
-h, --help show this help message and exit
-i spec, --inspec spec
Image files to animate (default: *.jpg)
-r fps, --framerate fps
Framerate (default: 25)
-o filename, --outfile filename
Output video filename (default: timelapse.mp4)
See some images that used this at Flickr.
usage: face_cropper.py [-h] [-c CASCADE] [-i INSPEC] [-o OUTDIR] [-a] [-r]
[-t] [-s]
Find, crop and save faces (or other objects). Requires OpenCV.
optional arguments:
-h, --help show this help message and exit
-c CASCADE, --cascade CASCADE
Haar cascade file (default: D:\temp\opencv\data\haarca
scades\haarcascade_frontalface_alt.xml)
-i INSPEC, --inspec INSPEC
Input file spec (default: *.jpg)
-o OUTDIR, --outdir OUTDIR
Output directory (default: crop)
-a, --findall Find all objects in photo instead of biggest (slower)
(default: False)
-r, --recursive Recurse directories (default: False)
-t, --tight_crop Crop image tight around detected feature (otherwise a
margin is added) (default: False)
-s, --show Show detected image with box (default: False)
See some images and videos that used this at Flickr.
See also deframify.py.
usage: framify.py [-h] [-o directory] [-r fps] file
Wrapper around ffmpeg to extract frames from a video.
positional arguments:
file Video file to extract
optional arguments:
-h, --help show this help message and exit
-o directory, --outdir directory
Directory to save frames (default: frames)
-r fps, --framerate fps
Framerate (default: 25)
See some images and videos that used this at Flickr.
Based on S W's recipe.
usage: image_packer.py [-h] [-o OUTFILE] [-s pixels] [-l] [-t]
Pack multiple images of different sizes into one image.
optional arguments:
-h, --help show this help message and exit
-o OUTFILE, --outfile OUTFILE
Output image file (default: output.png)
-s pixels, --size pixels
Size (width,height tuple) of the image we're packing
into (default: 1024,1024)
-l, --largest_first Pack largest images first (default: False)
-t, --tempfiles Save temporary files to show filling (default: False)
See some images that used this at Flickr.
usage: kaleidoscope.py [-h] [-o OUTFILE] [-w WIDTH] infile
Kaleidoscope an image
positional arguments:
infile An input image
optional arguments:
-h, --help show this help message and exit
-o OUTFILE, --outfile OUTFILE
Output filename (default: None)
-w WIDTH, --width WIDTH
Width of triangle (default: 200)
See some images and videos that used this at Flickr.
usage: kantavaesto.py [-h] [-i INSPEC] [-o OUTFILE]
Make a collage of photos inspired by Nana & Felix's Kanta|Väestö
optional arguments:
-h, --help show this help message and exit
-i INSPEC, --inspec INSPEC
Input image file spec, must all be the same size
(default: *.jpg)
-o OUTFILE, --outfile OUTFILE
Output filename (default: kantavaesto.jpg)
See some images and videos that used this at Flickr.
usage: mixify.py [-h] [-a filename] [-v filename] [-o filename]
Wrapper around ffmpeg to mix audio from one video into another video.
optional arguments:
-h, --help show this help message and exit
-a filename, --audio filename
File to take audio from (default: audio.mp4)
-v filename, --video filename
File to take video from (default: video.mp4)
-o filename, --outfile filename
Output filename (default: mixed-video.mp4)
See some images that used this at Flickr.
usage: padims.py [-h] [-i INSPEC] [-o OUTDIR] [-ha {centre,left,right}]
[-va {centre,top,bottom}]
Pad images
optional arguments:
-h, --help show this help message and exit
-i INSPEC, --inspec INSPEC
Input file spec (default: *.jpg)
-o OUTDIR, --outdir OUTDIR
Output directory (default: out)
-ha {centre,left,right}, --halign {centre,left,right}
Horizontal alignment (default: centre)
-va {centre,top,bottom}, --valign {centre,top,bottom}
Vertical alignment (default: centre)
Python dependencies: Python Imaging Library (PIL)
See some images that used this at Flickr.
usage: pixelator.py [-h] [-i INSPEC] [-o OUTFILE]
[-e {average,random,nowt,test,test2}] [-n [NORMALISE]]
[-k] [-b BATCH_SIZE] [-s]
Create a composite image either by averaging or selecting random pixels from input images.
If images are not the same size, they can be normalised first, either to the mode, mean or a specified size.
If there are many images to average, ImageMagick uses a lot of RAM causing very slow paging. To counter this, average in (preferably equal-sized) batches, which creates temp averages from a smaller number and then averages those.
optional arguments:
-h, --help show this help message and exit
-i INSPEC, --inspec INSPEC
Input file spec (default: *.jpg)
-o OUTFILE, --outfile OUTFILE
Output file name (default: out.jpg)
-e {average,random,nowt,test,test2}, --effect {average,random,nowt,test,test2}
Effect to apply (default: average)
-n [NORMALISE], --normalise [NORMALISE]
If images are different sizes, normalise them first.
[mode|mean|width,height] (default: None)
-k, --keep_normals Keep normalised images (default: False)
-b BATCH_SIZE, --batch-size BATCH_SIZE
For average: Batch size. For best results, should be a
factor of the total number. Use 'auto' to calculate
size. (default: None)
-s, --show For random: Show the output image (default: False)
Python dependencies: Python Imaging Library (PIL) External dependencies: ImageMagick's
convert
See some images that used this at Flickr.
usage: slitscan.py [-h] [-i INSPEC] [-o OUTFILE]
[-m {eiriksmagick,central,all}]
[-d {vertical,v,horizontal,h}] [-t THICKNESS] [-u]
[-c CACHE]
Slice input files into an output file. Requires PIL.
optional arguments:
-h, --help show this help message and exit
-i INSPEC, --inspec INSPEC
-v, --reverse Reverse list of input files (default: False)
Input file spec (default: *.jpg)
-o OUTFILE, --outfile OUTFILE
Output file name (default: None)
-m {eiriksmagick,central,all}, --mode {eiriksmagick,central,all}
How to slice images. 'central' takes just the middle
slices from each image, 'eiriksmagick' takes a
different slice from each, moving from left to right
(or top to bottom). Both create a single image. 'all'
makes lots of image, each with slices from the same
place. (default: eiriksmagick)
-d {vertical,v,horizontal,h}, --direction {vertical,v,horizontal,h}
Direction to slitify (default: vertical)
-t THICKNESS, --thickness THICKNESS
Slit thickness in pixels. Default is to calculate
based on number of input images. (default: None)
-u, --useallinput Use every input file even if more than the width or
height (default: False)
-c CACHE, --cache CACHE
Load this many images into memory, the rest will be
read on demand from disk (for: --mode all) (default:
None)
factors.py, filelist.py