Ray-Image

🚀 Fast image compression for large number of images with Ray library.

Requirements

• 🐍 Python>=3.8
• ⚡ Ray>=1.0.0

To install ray, run:

pip install ray

⬇️ Installation

pip install rayim

⌨️ Usage

usage: rayim [-h] [-o OUTPUT_DIR] [-q QUALITY] [--overwrite] [-n] [-j]
             [--replicate-dir-tree] [-s SIZE SIZE] [-d DIV_BY] [-S] [-O]
             path [path ...]

positional arguments:
  path                  Path to a single file/directory or multiple
                        files/directories

options:
  -h, --help            show this help message and exit
  -o OUTPUT_DIR, --output-dir OUTPUT_DIR
                        Output directory (default: next to original file)
  -q QUALITY, --quality QUALITY
                        Output image quality (JPEG only; default: 70)
  --overwrite           Overwrite the original image
  -n, --no-subsampling  Turn off subsampling and retain the original image
                        setting (JPEG only)
  -j, --to-jpeg         Convert the image(s) to .JPEG
  --replicate-dir-tree  Replicate the source directory tree in the output
  -s SIZE SIZE, --size SIZE SIZE
                        Resize the image to WIDTH HEIGHT
  -d DIV_BY, --div-by DIV_BY
                        Divide the image size (WxH) by a factor of n
  -S, --silent          Silent mode
  -O, --optimize        Apply default optimization on the image(s)
  -k, --keep-date       Keep the original modification date

📕 Examples

• Running on a single file:

rayim foo.jpg
# 🚀 foo.jpg: 1157. kB ==> 619.9 kB (-46.4%) | 0.07s

• Running on a folder foo and writing the output to compressed

rayim foo/ -o compressed
# (compress_many pid=612778) 🚀 foo.jpg: 988.9 kB ==> 544.8 kB (-44.9%) | 0.08s
# (compress_many pid=612828) 🚀 bar.jpg: 983.8 kB ==> 541.2 kB (-44.9%) | 0.07s
# (compress_many pid=612826) 🚀 foobar.jpg: 1001. kB ==> 550.7 kB (-44.9%) | 0.07s
# (compress_many pid=612786) 🚀 barfoo.jpg: 1001. kB ==> 551.9 kB (-44.8%) | 0.08s
# ...

# Total:
#    Before: 1091.32 MB
#    After: 599.46 MB (-45.0%)

Speed comparison

Test 1 (on Apple Silicon M1, 8-cores)

Total:
    Before: 1091.32 MB
    After: 599.46 MB (-45.0%)

Test 2 (on Intel @ 2.299GHz, 32-cores)

Total:
    Before: 6040.59 MB
    After: 3321.70 MB (-45.0%)