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资源说明：Pixel-mangling scripts for the command line.
[](https://travis-ci.org/hugovk/pixel-tools) [](https://coveralls.io/github/hugovk/pixel-tools?branch=master) [](https://landscape.io/github/hugovk/pixel-tools/master) [](https://www.python.org/downloads/) Requirements ============ 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` blockit.py ========== [](https://www.flickr.com/photos/hugovk/8419697276/) [](https://www.flickr.com/photos/hugovk/8418636329/) 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) ``` colour_clock.py ================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) ``` contact_sheet.py ================
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) ``` deframify.py ============ 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) ``` face_cropper.py =============== 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) ``` framify.py ========== 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) ``` image_packer.py ==========
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) ``` kaleidoscope.py ===============
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) ``` kantavaesto.py ========= 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) ``` mixify.py ========= 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) ``` padims.py ============ 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) pixelator.py ============ 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` slitscan.py ===========
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) ``` Utilities ======================= factors.py, filelist.py
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