dm-script: Is there a command to save as TIFF8 and TIFF24? I would like to insert the possibility in a script.
Script access to import/export is identical to what you get via the menu and depends on your installation (All code is in ImportExport Plug-in.dll)
To script-access exactly this functionality, you have to save the ImageDocument associated with the image, and you have to provide the IOhandler which should do it.
The actual data type written then depends on:
the data type of the image you want to write
the handler and how it "converts" the image, i.e. some filetypes can handle different data depth, others can't and do the conversion.
whether the "view" image or the "raw data" image is saved.
As a script this goes like this:
Image img := IntegerImage( "Test S-Int32 ", 4, 1, 512, 512 )
img = 1000 * sin( Pi() * itheta ) % icol
number saveType = 1 // 0 = Save VIEW; 1 = Save DATA; 2 = (Default) Try VIEW else DATA
ImageDocument doc = img.ImageGetOrCreateImageDocument()
string fileName = "C:\\TestImage(" + saveType + ")"
doc.ImageDocumentSaveToFile( "TIFF Format", fileName, saveType )
Note that I've used TIFF Format as a string to specify the handler. The available names are those you can see in the drop-down when you "Save As" an image via the menu. For example, I currently get:
Use the strings before the (file type) part of the entry and use it case-sensitive.
Related
Is there an equivalent of deleteProperty(XMPConst.NS_DC, "description”) or some way to clear out EXIF:ImageDescription, XMP-dc:Description and IPTC:Caption-Abstract with a Photoshop Script (ie, JavaScript or AppleScript)?
I am trying to remove the tags/descriptions below from TIF, PSD and PSB images:
[EXIF:IFD0] ImageDescription
[XMP:XMP-dc] Description
[IPTC] Caption-Abstract
I can do this with Exiftool with this code:
exiftool -m -overwrite_original_in_place -EXIF:ImageDescription= -XMP-dc:Description= -IPTC:Caption-Abstract= FILE
While that works great for me, I have lots of vendors that would need this in their workflows so it would be easier for them to use an action with the Photoshop Events Manager "On Document Open", or via an Automator script (Java or AppleScript) in their workflows than installing ExifTool. Looking for some help to do this...
I don’t have much coding experience, but I found the JavaScript code below on PS-Scripts as a starting point. This code doesn't require Photoshop which I like and could be done with Automator, but it only references the one tag. Also, I don’t need to write anything to the tags as this code does (I’d prefer just to delete or wipe the content and/or tags so they don’t show up).
Code: Select allvar f = File("/c/captures/a.jpg");
setDescription(f,"My new description");
function setDescription( file, descStr ){
if ( !ExternalObject.AdobeXMPScript ) ExternalObject.AdobeXMPScript = new ExternalObject('lib:AdobeXMPScript');
var xmpf = new XMPFile( File(file).fsName, XMPConst.UNKNOWN, XMPConst.OPEN_FOR_UPDATE );
var xmp = xmpf.getXMP();
xmp.deleteProperty(XMPConst.NS_DC, "description");
xmp.setLocalizedText( XMPConst.NS_DC, "description", null, "x-default", descStr );
if (xmpf.canPutXMP( xmp )) {
xmpf.putXMP( xmp );
}
xmpf.closeFile( XMPConst.CLOSE_UPDATE_SAFELY );
}
And below is an attempt at the JavaScript that would be used as a Photoshop Event on "Open Document"; but again I don't know how to amend to ensure all 3 tags reference above are cleared:
function removeDescription() {
whatApp = String(app.name);
if(whatApp.search("Photoshop") > 0)
if(!documents.length) {
alert("There are no open documents. Please open a file to run this script.")
return;
}
if (ExternalObject.AdobeXMPScript == undefined) ExternalObject.AdobeXMPScript = new ExternalObject("lib:AdobeXMPScript");
var xmp = new XMPMeta( activeDocument.xmpMetadata.rawData);
xmp.deleteProperty(XMPConst.NS_DC, "description");
app.activeDocument.xmpMetadata.rawData = xmp.serialize();
}
}
removeDescription();
Finally, below was an alternate that was tried that wipes the Description, ImageDescription and Caption-Abstract on TIFFs and PNGs on the first try, but takes running through twice to work on a PSD/PSB/JPG. I think it has to do with the interaction between Description, ImageDescription and Caption-Abstract, and the solution possibly resides with amp.setLocalizedText to nothing?
function removeMetadata() {
whatApp = String(app.name);
if(whatApp.search("Photoshop") > 0) {
if(!documents.length) {
alert("There are no open documents. Please open a file to run this script.")
return;
}
if (ExternalObject.AdobeXMPScript == undefined) ExternalObject.AdobeXMPScript = new ExternalObject("lib:AdobeXMPScript");
var xmp = new XMPMeta( activeDocument.xmpMetadata.rawData);
if (xmp.doesArrayItemExist(XMPConst.NS_DC, "description", 1))
{
xmp.deleteArrayItem(XMPConst.NS_DC, "description", 1);
}
app.activeDocument.xmpMetadata.rawData = xmp.serialize();
debugger
}
}
removeMetadata();
Here is an example Python script that uses the Pillow library to remove the metadata descriptions.
from PIL import Image
# Open the image file
image = Image.open('example.jpg')
# Remove the EXIF:ImageDescription metadata field
image.info.pop('EXIF:ImageDescription', None)
# Remove the XMP-dc:Description metadata field
image.info.pop('XMP-dc:Description', None)
# Remove the IPTC:Caption-Abstract metadata field
image.info.pop('IPTC:Caption-Abstract', None)
# Save the modified image file
image.save('example_modified.jpg')
Change "example.jpg" to your needs.
there may be other metadata fields that contain descriptions, depending on the specific image file format and how it was created. You may need to modify the script to remove additional fields if necessary.
I have a directory of images and an image that I know is in this image directory there is a similar image in the directory saved in a different format and scaled differently, but I dont know where (about 100 000 images).
I want to look for the image and find out its filename inside this directory.
I am looking for a mostly already made soulution which I couldn't find. I found OpenCV but I would need to write code around that. Is there a project like that out there?
If there isn't could you help me make a simple C# console app using OpenCV, I tried their templates but never managed to get SURF or CudaSURF working.
Thanks
Edited as per #Mark Setchell's comment
If the image is identical, the fastest way is to get the file size of the image you are looking for and compare it with the file sizes of the images amongst which you are searching.
I suggest this first because, as Christoph clarifies in the comments, it doesn't require reading the file at all - it is just metadata.
If that yields more than one matching answer, calculate a hash (MD5 or other) and pick the filename that produces the same hash.
Again, as mentioned by Christoph in the comments, this doesn't require decoding the image, or holding the decompressed image in RAM, just checksumming it.
So in the end I used this site and modified the python code used there for searching a directory instead of a single image. There is not much code so the full thing is below:
import argparse
from ast import For, arg
import cv2
from os import listdir
from os.path import isfile, join
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", type=str, required=True,
help="path to input image where we'll apply template matching")
ap.add_argument("-t", "--template", type=str, required=True,
help="path to template image")
args = vars(ap.parse_args())
# load the input image and template image from disk
print("[INFO] loading template...")
template = cv2.imread(args["template"])
cv2.namedWindow("Output")
cv2.startWindowThread()
# Display an image
cv2.imshow("Output", template)
cv2.waitKey(0)
# convert both the image and template to grayscale
templateGray = cv2.cvtColor(template, cv2.COLOR_BGR2GRAY)
imageFileNames = [f for f in listdir(args["image"]) if isfile(join(args["image"], f))]
for imageFileName in imageFileNames:
try:
imagePath = args["image"] + imageFileName
print("[INFO] Loading " + imagePath + " from disk...")
image = cv2.imread(imagePath)
print("[INFO] Converting " + imageFileName + " to grayscale...")
imageGray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
print("[INFO] Performing template matching for " + imageFileName + "...")
result = cv2.matchTemplate(imageGray, templateGray,
cv2.TM_CCOEFF_NORMED)
(minVal, maxVal, minLoc, maxLoc) = cv2.minMaxLoc(result)
(startX, startY) = maxLoc
endX = startX + template.shape[1]
endY = startY + template.shape[0]
if maxVal > 0.75:
print("maxVal = " + str(maxVal))
# draw the bounding box on the image
cv2.rectangle(image, (startX, startY), (endX, endY), (255, 0, 0), 3)
# show the output image
cv2.imshow("Output", image)
cv2.waitKey(0)
cv2.imshow("Output", template)
except KeyboardInterrupt:
break
except:
print(imageFileName)
print("Error")
cv2.destroyAllWindows()
The code above shows any image with match value (what I guess is how much similarity there is between source and template) greater than 0.75
Probably still too low but if you want to use it tweak it to your liking.
Note that this WILL NOT work if the image is rotated and if, like me, you have a bright light source in the template other lightsources will come up as false positives
As for time it took me about 7 hours, where the script paused about every 20 minutes for a false positive until I found my image. I got through about 2/3 of all images.
as a sidenote it took 10 minutes to just build the array of files inside the directory, and it took about 500mb of ram once done
This is not the best answer so if anyone more qualified finds this feel free to write another answer.
I'm trying to write a code in Image J that will:
Open all images in separate windows that contains "488" within a folder
Use look up tables to convert images to green and RGB color From ImageJ, the commands are: run("Green"); and run("RGB Color");
Adjust the brightness and contrast with defined values for Min and Max (same values for each image).
I know that the code for that is:
//run("Brightness/Contrast..."); setMinAndMax(value min, value max); run("Apply LUT");
Save each image in the same, original folder , in Tiff and with the same name but finishing with "processed".
I have no experience with Java and am very bad with coding. I tried to piece something together using code I found on stackoverflow and on the ImageJ website, but kept getting error codes. Any help is much appreciated!
I don't know if you still need it, but here is an example.
output_dir = "C:/Users/test/"
input_dir = "C:/Users/test/"
list = getFileList(input_dir);
listlength = list.length;
setBatchMode(true);
for (z = 0; z < listlength; z++){
if(endsWith(list[z], 'tif')==true ){
if(list[z].contains("488")){
title = list[z];
end = lengthOf(title)-4;
out_path = output_dir + substring(title,0,end) + "_processed.tif";
open(input_dir + title);
//add all the functions you want
run("Brightness/Contrast...");
setMinAndMax(1, 15);
run("Apply LUT");
saveAs("tif", "" + out_path + "");
close();
};
run("Close All");
}
}
setBatchMode(false);
I think it contains all the things you need. It opens all the images (in specific folder) that ends with tif and contains 488. I didn't completely understand what you want to do with each photo, so I just added your functions. But you probably won't have problems with adding more/different since you can get them with macro recorder.
And the code is written to open tif files. If you have tiff just be cerful that you change that and also change -4 to -5.
I need help with saving processed images to different folder with imwrite.
Currently, I can save all processed images to a single folder.
Img_filename=ls('C:\Users\User\Desktop\Guanlin_CNN1D\CNN1D\GF_BSIF\*.jpg');
imageSize = size(Img_filename);
Img_filenum = size(Img_filename,1);
for img=1:Img_filenum
img_temp=double((rgb2gray(imread(Img_filename(img,:)))));
-----------processing--------
count = count+1;
FileName = fullfile('C:\Users\User\Desktop\Guanlin_CNN1D\CNN1D\GF_BSIF\folder_1',sprintf('%03d_circle_cropped.jpg',count));
imwrite(MM, FileName)
end
However, I have 1000 different images in 1 folder and after processing, it will generate 500 images and I want to save the first 500 processed images into folder_1. And the second 500 processed images to folder_2 and the third 500 images to folder_3 and so on...
How to re-write the imwrite function?
Thank you!
The root folder I used here is named Image_Folder and resides on the desktop. The output folders are named Folder_1, Folder_2 and Folder_3 and also reside on the desktop. I used two nested loops to control the saving of the images. The outer loop controls which folder to write to and the inner loop controls the writing images 1 through 500. The variable Image_File_Names can be used to access the input image file names.
%Folder holding the 1000 images%
Image_Path = "/Users/michael/Desktop/Image_Folder";
%Prefix path for output folders%
Export_Path = "/Users/michael/Desktop/Folder_";
%Adding path with input images%
addpath(Image_Path);
%Listing all images in folder directory%
Image_File_Names = ls(Image_Path);
Image_File_Names = split(Image_File_Names);
Number_Of_Images = length(Image_File_Names) - 1;
for Folder_Index = 1: 3
Export_Folder_Path = Export_Path + num2str(Folder_Index) + "/";
mkdir(Export_Folder_Path);
for Image_Index = 1: 500
%Grab the images as needed%
Input_Image_Index = 1; %Change this index to another variable to grab images within input folder%
Image = imread(string(Image_File_Names(Input_Image_Index)));
%***************************************%
%PROCESS IMAGE%
%***************************************%
%***************************************%
Output_File_Path = Export_Folder_Path + "Image_" + num2str(Image_Index) +".jpg";
imwrite(Image,Export_Folder_Path+num2str(Image_Index)+".jpg");
end
end
Using MATLAB version: R2019b
I'm brand new to imageJ and its macros, I can't save a Results file from Particle Analyze in a loop.
Here is my code, made of what I just learned on internet and I just can't include [i] in the saveAs function and there is a mismatch with the saving of the images while I have not even try yet to save it...
path1=getDirectory("Mydir");
list=getFileList(path1);
path2=getDirectory("My output dir");
setBatchMode(true);
for(i=0;i<list.length;i++){
open(path1+list[i]);
run("8-bit");
run("Analyze Particles...", "size=0-Infinity circularity=0.00-1.00 show=[Bare Outlines] display clear");
selectWindow("Results");
saveAs("Results", path2+"Results.xls");
close();
}
setBatchMode(false);
run("Close");
To save the Results window in each cycle of your for loop, you can add the counter variable i to the file name string:
saveAs("Results", path2+"Results" + i + ".xls");
It might be a good idea to also include the original image file name into the results file name, such as:
saveAs("Results", path2+"Results" + list[i] + ".xls");
NB: I had to add to add setAutoThreshold("Default"); before the Analyze Particles... command to make your macro work on sample images like the Blobs example image, because the command need a thresholded/binary image.