When I run Apple's Automator to simply cut a bunch of images in their size Automator will also reduce the quality of the files (jpg) and they get blurry.
How can I prevent this? Are there settings that I can take control of?
Edit:
Or are there any other tools that do the same job but without affecting the image quality?
If you want to have finer control over the amount of JPEG compression, as kopischke said you'll have to use the sips utility, which can be used in a shell script. Here's how you would do that in Automator:
First get the files and the compression setting:
The Ask for Text action should not accept any input (right-click on it, select "Ignore Input").
Make sure that the first Get Value of Variable action is not accepting any input (right-click on them, select "Ignore Input"), and that the second Get Value of Variable takes the input from the first. This creates an array that is then passed on to the shell script. The first item in the array is the compression level that was given to the Automator Script. The second is the list of files that the script will do the sips command on.
In the options on the top of the Run Shell Script action, select "/bin/bash" as the Shell and select "as arguments" for Pass Input. Then paste this code:
itemNumber=0
compressionLevel=0
for file in "$#"
do
if [ "$itemNumber" = "0" ]; then
compressionLevel=$file
else
echo "Processing $file"
filename="$file"
sips -s format jpeg -s formatOptions $compressionLevel "$file" --out "${filename%.*}.jpg"
fi
((itemNumber=itemNumber+1))
done
((itemNumber=itemNumber-1))
osascript -e "tell app \"Automator\" to display dialog \"${itemNumber} Files Converted\" buttons {\"OK\"}"
If you click on Results at the bottom, it'll tell you what file it's currently working on. Have fun compressing!
Automator’s “Crop Images” and “Scale Images” actions have no quality settings – as is often the case with Automator, simplicity trumps configurability. However, there is another way to access CoreImage’s image manipulation facilities whithout resorting to Cocoa programming: the Scriptable Image Processing System, which makes image processing functions available to
the shell via the sips utility. You can fiddle with the most minute settings using this, but as it is a bit arcane in handling, you might be better served with the second way,
AppleScript via Image Events, a scriptable faceless background application provided by OS X. There are crop and scale commands, and the option of specifying a compression level when saving as a JPEG with
save <image> as JPEG with compression level (low|medium|high)
Use a “Run AppleScript” action instead of your “Crop” / “Scale” one and wrap the Image Events commands in a tell application "Image Events" block, and you should be set. For instance, to scale the image to half its size and save as a JPEG in best quality, overwriting the original:
on run {input, parameters}
set output to {}
repeat with aPath in input
tell application "Image Events"
set aPicture to open aPath
try
scale aPicture by factor 0.5
set end of output to save aPicture as JPEG with compression level low
on error errorMessage
log errorMessage
end try
close aPicture
end tell
end repeat
return output -- next action processes edited files.
end run
– for other scales, adjust the factor accordingly (1 = 100 %, .5 = 50 %, .25 = 25 % etc.); for a crop, replace the scale aPicture by factor X by crop aPicture to {width, height}. Mac OS X Automation has good tutorials on the usage of both scale and crop.
Eric's code is just brilliant. Can get most of the jobs done.
but if the image's filename contains space, this workflow will not work.(due to space will break the shell script when processing sips.)
There is a simple solution for this: add "Rename Finder Item" in this workflow.
replace spaces with "_" or anything you like.
then, it's good to go.
Comment from '20
I changed the script into a quick action, without any prompts (for compression as well as confirmation). It duplicates the file and renames the original version to _original. I also included nyam's solution for the 'space' problem.
You can download the workflow file here: http://mobilejournalism.blog/files/Compress%2080%20percent.workflow.zip (file is zipped, because otherwise it will be recognized as a folder instead of workflow file)
Hopefully this is useful for anyone searching for a solution like this (like I did an hour ago).
Comment from '17
To avoid "space" problem, it's smarter to change IFS than renaming.
Back up current IFS and change it to \n only. And restore original IFS after the processing loop.
ORG_IFS=$IFS
IFS=$'\n'
for file in $#
do
...
done
IFS=$ORG_IFS
Related
I am trying to convert multiple .eps files into .jpg ones. By looking at answers here in SO, I was able to do it for single separate files.
The problem is that, when I'm trying to do it for all the files, they don't show any .jpg file.
I am currently using Imagemagick with the command
convert -density 300 outputs-000.eps -flatten outputs-000.jpg
I believe the problem is because my files are written as
outputs-000.eps
outputs-001.eps
outputs-002.eps
outputs-003.eps
...
outputs-145.eps
...
and so on. I tried putting %d (as in outputs-%d.eps and outputs-%d.jpg), but with no success.
Apart from that, I intent to get all those files and "convert" them into an .mkv or .gif or similar type (they are images of the time configuration of a particle collision system, so each image is a frame, so the goal is to make it into a 10sec movie). If there is a way to do that directly from the .eps, even better. Any help is welcome, since I've been trying to do this for several hours now. Thank you.
You should be able to make an animated GIF in one go like this:
convert -density 300 outputs-*eps -delay 200 animated.gif
Failing that, you should be able to convert all your eps files to, say PNG with:
mogrify -density 300 -format png outputs-*eps
Be careful with mogrify - it overwrites your input files unless you specify -path for an output directory, or you change format - like I just did to PNG.
For anyone who lands here trying to figure out how to work around ImageMagic's convert: not authorized without reverting the change that was made to the system-wide security policy to close a vulnerability, here's how you'd use Ghostscript to do a batch EPS-to-JPEG conversion directly without bringing ImageMagick into the mix:
gs -dSAFER -dEPSCrop -r300 -sDEVICE=jpeg -o outputs-%03d.jpg outputs-*.eps
-dSAFER puts Ghostscript in a sandboxed mode where Postscript code can only interact with the files you specified on the command line. (Yes, the parts of EPS, PS, and PDF files that define the page contents are in a turing-complete programming language.)
-dEPSCrop asks for the rendered output to be cropped to the bounding box of the drawing rather than padded out to whatever size page Ghostscript expects you to be printing to. (See the manual for details.)
The -r300 requests 300 DPI (-r600 for 600 DPI, etc.)
The -sDEVICE specifies the output format (See the Devices section of the manual for other choices.)
-o is a shorthand for -dBATCH -dNOPAUSE -sOutputFile=
This section of the Ghostscript manual gives some example formats for for multi-file filename output but, for the actual syntax definition, it points you at the documentation for the C printf(3) function.
Once you've got your JPEGs, you can follow the instructions in this answer over on the Video Production Stack Exchange to combine them into an MKV file.
The TL;DR is this command here:
ffmpeg -framerate 30 -i outputs-%03d.jpg -codec copy output.mkv
Check out the other answers if you want something that performs inter-frame compression rather than aiming to avoid transcoding the JPEGs again.
(If you want the best compromise, have Ghostscript output PNGs and then let ffmpeg handle switching to lossy compression.)
Apologies for tagging this just ImageJ - it's a problem regarding MicroManager, a microscopy plugin for it and I thought this would be best.
I'd recently taken images for an important experiment using MicroManager (a recent version, though I cannot recall the exact number). The IT services at my institution have recently been having some networking problems and my saved preferences for the software had been erased. I'd got half way through my experiment when I realised that I'd saved my images as separate image files (three greyscale TIFFs plus metadata text files) instead of OME-TIFF iamge stacks.
All of my ImageJ macros for image processing rely on having a multiple channel image stack, so this is a bit of a problem. Is there any easy way in MicroManager (or ImageJ) to bulk convert these single channel greyscale images into the OME-TIFF image stack after the images have already been taken?
Cheers.
You can start with a macro like this one:
// Convert your images to a stack
run("Images to Stack", "name=Stack title=[] use");
// The stack will default the images to time points. Convert to channels
run("Stack to Hyperstack...", "order=xyczt(default) channels=3 slices=1 frames=1 display=Color");
// Export as OME-TIFF
run("Bio-Formats Exporter");
This is designed to reconstruct one dataset at a time (open 3 images, run the macro and export the OME-TIFF).
If you don't want any dialogs to show you can pass an output directory to the Bio-Formats exporter:
run("Bio-Formats Exporter", "save=/path/to/image.ome.tif export compression=Uncompressed");
For the output file name you can get the original image name in the macro with getTitle()
There is also a template example on iterating over all the files in a directory, if you want to completely automate the macro. However this may take some tweaking since you want to operate on your images 3 at a time.
Hope that helps!
I am relatively new to machine learning/python/ubuntu.
I have a set of images in .jpg format where half contain a feature I want caffe to learn and half don't. I'm having trouble in finding a way to convert them to the required lmdb format.
I have the necessary text input files.
My question is can anyone provide a step by step guide on how to use convert_imageset.cpp in the ubuntu terminal?
Thanks
A quick guide to Caffe's convert_imageset
Build
First thing you must do is build caffe and caffe's tools (convert_imageset is one of these tools).
After installing caffe and makeing it make sure you ran make tools as well.
Verify that a binary file convert_imageset is created in $CAFFE_ROOT/build/tools.
Prepare your data
Images: put all images in a folder (I'll call it here /path/to/jpegs/).
Labels: create a text file (e.g., /path/to/labels/train.txt) with a line per input image . For example:
img_0000.jpeg 1
img_0001.jpeg 0
img_0002.jpeg 0
In this example the first image is labeled 1 while the other two are labeled 0.
Convert the dataset
Run the binary in shell
~$ GLOG_logtostderr=1 $CAFFE_ROOT/build/tools/convert_imageset \
--resize_height=200 --resize_width=200 --shuffle \
/path/to/jpegs/ \
/path/to/labels/train.txt \
/path/to/lmdb/train_lmdb
Command line explained:
GLOG_logtostderr flag is set to 1 before calling convert_imageset indicates the logging mechanism to redirect log messages to stderr.
--resize_height and --resize_width resize all input images to same size 200x200.
--shuffle randomly change the order of images and does not preserve the order in the /path/to/labels/train.txt file.
Following are the path to the images folder, the labels text file and the output name. Note that the output name should not exist prior to calling convert_imageset otherwise you'll get a scary error message.
Other flags that might be useful:
--backend - allows you to choose between an lmdb dataset or levelDB.
--gray - convert all images to gray scale.
--encoded and --encoded_type - keep image data in encoded (jpg/png) compressed form in the database.
--help - shows some help, see all relevant flags under Flags from tools/convert_imageset.cpp
You can check out $CAFFE_ROOT/examples/imagenet/convert_imagenet.sh
for an example how to use convert_imageset.
This is a followup to Apple's Automator: compression settings for jpg?
It works. However I am failing at modifying it to make it more flexible.
I am incorporating Sips into Automator to try to create a droplet that changes an image file to a jpeg, of a particular quality and dimensions. The automator app asks for the compression level and pixel width, then spits out the requested file. Except... mine doesn't. The scripting (my lack of programming knowledge) is my weak link.
This is what I've done that's not working... Please see:
There are two mistakes in the code that the poster who wrote the code made.
When calling a variable in shell. You must prepend it with "$"
so where the have missed this out is what is stopping the code to work as it should.
The lines without the $ are: compressionLevel=file
and
sips -s format jpeg -s formatOptions compressionLevel $file --out ${filename%.*}.jpg
The corrected code:
should be:
compressionLevel=$file
and
sips -s format jpeg -s formatOptions $compressionLevel $file --out ${filename%.*}.jpg
UPDATED ANSWER* I noticed you have pixel width.
So I have change the code to accommodate it.
I have also added a "_" to the end of the out put file which you can remove if you want.
The reason I put it there is so I do not overwrite originals and create in effect copies.
compressionLevel=$1
pixalWidth=$2
i=1 # index of item
for item # A for loop by default loop through $1, $2, ...
do
if [ $i -gt 2 ]; then # start at index 3 #-- array indexes start at 0. 0 is just a "-" in this case so we totally ignor it. we are using items 1 & 2 for the sip options, the rest for file paths. the index "i" is used to keep track of the array item indexes.
echo "Processing $item"
sips -s format jpeg -s formatOptions $compressionLevel --resampleWidth $pixalWidth $item --out ${item%.*}_.jpg
fi
((i++))
done
osascript -e 'tell app "Automator" to display dialog "Done." buttons {"OK"}'
I would suggest you do some reading on shell scripting to get some basics down.
there are plant of references on the web. And Apple have this.
I am sure if you ask the question others can give you some good starting points first search this site for similar question as I am sure it base been asked a thousand times.
I'm using ImageMagick (with Wand in Python) to convert images and to get thumbnails from them. However, I noticed that I need to verify whether a file is an image or not ahead of time. Should I do this with Identify?
So I would assume checking the integrity of a file needs the whole file to be read into memory. Is it better to try and convert the file and if there was an error, then we know the file wasn't good.
seems like you answered your own question
$ ls -l *.png
-rw-r--r-- 1 jsp jsp 526254 Jul 20 12:10 image.png
-rw-r--r-- 1 jsp jsp 10000 Jul 20 12:12 image_with_error.png
$ identify image.png &> /dev/null; echo $?
0
$ identify image_with_error.png &> /dev/null; echo $?
0
$ convert image.png /dev/null &> /dev/null ; echo $?
0
$ convert image_with_error.png /dev/null &> /dev/null ; echo $?
1
if you specify the regard-warnings flag with the imagemagick identify tool
magick identify -regard-warnings myimage.jpg
it will throw an error if there are any warnings about the file. This is good for checking images, and seems to be a lot faster than using verbose.
I the case you use Python you can consider also the Pillow module.
In my experiments, I have used both the Pyhton Pillow module (PIL) and the Imagemagick wrapper Wand (for psd, xcf formats) in order to detect broken images, the original answer with code snippets is here.
Update:
I also implemented this solution in my Python script here on GitHub.
I also verified that damaged files (jpg) frequently are not 'broken' images i.e, a damaged picture file sometimes remains a legit picture file, the original image is lost or altered but you are still able to load it.
End Update
I quote the full answer for completeness:
You can use Python Pillow(PIL) module, with most image formats, to check if a file is a valid and intact image file.
In the case you aim at detecting also broken images, #Nadia Alramli correctly suggests the im.verify() method, but this does not detect all the possible image defects, e.g., im.verify does not detect truncated images (that most viewers often load with a greyed area).
Pillow is able to detect these type of defects too, but you have to apply image manipulation or image decode/recode in or to trigger the check. Finally I suggest to use this code:
try:
im = Image.load(filename)
im.verify() #I perform also verify, don't know if he sees other types o defects
im.close() #reload is necessary in my case
im = Image.load(filename)
im.transpose(PIL.Image.FLIP_LEFT_RIGHT)
im.close()
except:
#manage excetions here
In case of image defects this code will raise an exception.
Please consider that im.verify is about 100 times faster than performing the image manipulation (and I think that flip is one of the cheaper transformations).
With this code you are going to verify a set of images at about 10 MBytes/sec (using single thread of a modern 2.5Ghz x86_64 CPU).
For the other formats psd,xcf,.. you can use Imagemagick wrapper Wand, the code is as follows:
im = wand.image.Image(filename=filename)
temp = im.flip;
im.close()
But, from my experiments Wand does not detect truncated images, I think it loads lacking parts as greyed area without prompting.
I red that Imagemagick has an external command identify that could make the job, but I have not found a way to invoke that function programmatically and I have not tested this route.
I suggest to always perform a preliminary check, check the filesize to not be zero (or very small), is a very cheap idea:
statfile = os.stat(filename)
filesize = statfile.st_size
if filesize == 0:
#manage here the 'faulty image' case
Here's another solution using identify, but without convert:
identify -verbose *.png 2>&1 | grep "corrupt image"
identify: corrupt image 'image_with_error.png' # error/png.c/ReadPNGImage/4051.
i use identify:
$ identify image.tif
00000005.tif TIFF 4741x6981 4741x6981+0+0 8-bit DirectClass 4.471MB 0.000u 0:00.010
$ echo $?