IM is easy-to-use fast image manipulation command line tool. It enables both single and batch image processing.
You can resize, join (stack), rotate, convert and do more with your images without using any GUI.
Install program as a standard Python package:
pip install .Application is used using command line with im command.
Use -h or --help option for global help and subcommands:
im -h
im resize -hHelp:
Usage: im [OPTIONS] COMMAND [ARGS]...
Image manipulation tool.
Options:
--help,-h Show this message and exit.
Commands:
border Add border to image.
convert Convert image to another format.
crop Crop image using [x, y, width, height]...
ev Evaluate common code over image.
exif Exif manipulation command.
filter Filter input images using given criterion.
find_ext Find correct image extension.
find_noim Find non-image files.
gauss Generate image with Gauss noise.
gray Convert image to grayscale.
optimize Optimize JPG compression.
rename Rename image using pattern.
resize Resize image to inserted size (higher...
rotate Rotate image according to exif orientation...
show Show image(s) - terminal view.
stack Join inserted images vertically (default) or...You can get testing lena.jpg image here.
Optimize .jpg image file size:
im optimize mountains.jpg
# mountains.jpg --> mountains_optimized.jpg
# 5.4 MB --> 2.2 MB (optimization: 60.2 %)Rotate image according exif data:
im rotate egypt.jpg
# egypt.jpg --> egypt_rotated.jpg rotating ...Resize image to max. dimension 1000 pixels:
im resize lena.jpg -s 1000
# lena.jpg --> lena_resized.jpg resizing ...Join multiple images vertically or horizontally (-h):
im stack lena.jpg lena.jpg
# lena.jpg, lena.jpg --> lena.jpg-lena.jpg joining ...Show exif data:
im exif mountains.jpg
# Model b'Nokia 6'
# DateTime b'2018:06:01 13:28:20'
# ...Remove exif data:
im exif mountains.jpg -r
# mountains.jpg removing exif.Convert between image formats:
im convert lena.jpg -e .png
# lena.jpg --> lena.pngRename using exif data:
im rename ./egypt.jpg -p '%Y_%m_%d-%H_%M_%S-dovolena.jpg'
# ./egypt.jpg --> ./2018_12_04-10_20_00-dovolena.jpgCrop image with specific rectangle:
im crop lena.jpg -x 100 -y 100 -w 200 -h 300
# lena.jpg --> lena_crop.jpg croping ...Convert all .jpg images in current folder to grayscale:
im gray lena.jpg
# lena.jpg --> lena_gray.jpg graying ...- Overwrite original file (be careful), using
-w. - Use batch processing, using list of images (or globing),
im gray *.jpg.
All dependencies are standard pip installable packages. They are automatically installed with setup script.