I am working on a macro for ImageJ. The goal is to take colour scans with several seeds on them and crop around the seeds to get several equally sized images with one seed on each.
This is the basic idea for the macro: prompt to select folder with scans (info about the seed is in the name of the image) > threshold to select seeds > crop around each seed on the original image > save all of the cropped images in a folder (name of the cropped images still containing the information of the name of the original image)
When I run the code below, I get an error for line 31: run("HSB stack");
The error informs me about supported conversions and shows that in order to run this command I need to start with an RGB image. However, according to Fiji > Image > Type, my images are RGBs. A coding error in that part also seems unlikely since it was written with the recording function in ImageJ.
Error message
According to what I found for the error, this seems to concern a recurring bug in the software, specific to the commands run("HSB stack") and run("RGB stack") in macros.
We have tried running this on ImageJ 2.3.0/1.53s as well as 1.53q on MacOS and Windows and always got the same problem.
If it is not a software problem, where is the error? Or if it is, do you have any suggestions for workarounds or a different program that could perform the same job?
The images I am working with are colour scans, 600dpi, white background with between 1 and 90 seeds on each scan. They are large tiff images (107.4 MB) but look like this:
Example scan image
I am not sure if it is helpful, but the code is below. There are probably still errors in the latter part that I could not yet get to because I can't get past the problem in line 31.
// Directory
dir=getDirectory("Choose a data folder");
list = getFileList(dir);
processed_dir_name = dir + "Cropped" + File.separator;
print(processed_dir_name);
File.makeDirectory(processed_dir_name);
// Batch
for (i=0; j<list.length; i++) {
print(i + ":" + dir+list[i]};
// Open images
run("Bio-Formats Importer", "open=" + dir+list[i] + "color_mode=Default view =Hyperstack");
// Crop edge, set general cropping parameters, scale
makeRectangle(108, 60, 4908, 6888);
run("Crop");
main = getTitle():
default_crop_width = 350;
default_crop_height = 350;
run("Set Scale...", "distance=600 known=25.4 unit=mm global");
//Thresholding
run("Color Threshold...");
//Color Thresholder 2.3.0/1.53q
// Autogenerated macro, single images only!
min=newArray(3);
max=newArray(3);
filter=newArray(3);
a=getTitle();
run("HSB stack");
run("Convert Stack to images");
selectWindow("Hue");
rename("0");
selectWindow("Saturation");
rename("1");
selectWindow("Brightness");
rename("2");
min[0]=0;
max[0]=255;
filter[0]="pass";
min[1]=0;
max[1]=255;
filter[1]="pass";
min[2]=0;
max[2]=193;
filter[2]="pass";
for (i=0;j<3;i++){
selectWindow(""+i);
The problem lies in the fact that your image is a hyperstack, and the color thresholding doesn't know how to work with that.
There are a few options you could try: Open the image as an 8-bit RGB, e.g. via open(dir+list[i]); or split the channels of the hyperstack and threshold each separately. Based on your sample image, I assume the first option makes more sense.
The following is an edited version of your code that works for the sample that you've provided:
// Directory
dir=getDirectory("Choose a data folder");
list = getFileList(dir);
processed_dir_name = dir + "Cropped" + File.separator;
print(processed_dir_name);
File.makeDirectory(processed_dir_name);
// Batch
for (i=0; i<list.length; i++)
{
if (!File.isDirectory(dir+list[i])) // Ignore directories such as processed_dir_name
{
print(i + ":" + dir+list[i]);
// Open images
open(dir+list[i]);
// Crop edge, set general cropping parameters, scale
makeRectangle(108, 60, 4908, 6888);
run("Crop");
main = getTitle();
default_crop_width = 350;
default_crop_height = 350;
run("Set Scale...", "distance=600 known=25.4 unit=mm global");
//Thresholding
//run("Color Threshold...");
//Color Thresholder 2.3.0/1.53q
// Autogenerated macro, single images only!
min=newArray(3);
max=newArray(3);
filter=newArray(3);
a=getTitle();
run("HSB Stack");
run("Convert Stack to Images");
selectWindow("Hue");
rename("0");
selectWindow("Saturation");
rename("1");
selectWindow("Brightness");
rename("2");
min[0]=0;
max[0]=255;
filter[0]="pass";
min[1]=0;
max[1]=255;
filter[1]="pass";
min[2]=0;
max[2]=193;
filter[2]="pass";
for (j=0;j<3;j++){
selectWindow(""+j);
}
}
}
I have +600 product images on my mac already cut out and catalogued in their own folder. They are all PSD's and I need a script that will do the following.
Grab the name of the folder
Grab all the PSD's in said folder
Combine them in one big PSD in the right order (the filenames are saved sequentially as 1843, 1845, 1846 so they need to open in that order)
save that PSD
save the separate layers as PNG with the name from the folder + _1, _2, _3
I have previous experience in Bash (former Linux user) and tried for hours in Automator but to no success.
Welcome to Stack Overflow. The quick answer is yes this is possible to do via scripting. I might even suggest breaking down into two scripts, one to grab and save the PSDs and the second to save out the layers.
It's not very clear about "combining" the PSDs or about "separate layers, only I don't know if they are different canvas sizes, where you want each PSD to be positioned (x, y offsets & layering) Remember none of use have your files infront of us to refer from.
In short, if you write out pseudo code of what is it you expect your code to do it makes it easier to answer your question.
Here's a few code snippets to get you started:
This will open a folder and retrieve alls the PSDs as an array:
// get all the files to process
var folderIn = Folder.selectDialog("Please select folder to process");
if (folderIn != null)
{
var tempFileList = folderIn.getFiles();
}
var fileList = new Array(); // real list to hold images, not folders
for (var i = 0; i < tempFileList.length; i++)
{
// get the psd extension
var ext = tempFileList[i].toString();
ext = ext.substring(ext.lastIndexOf("."), ext.length);
if (tempFileList[i] instanceof File)
{
if (ext == ".psd") fileList.push (tempFileList[i]);
// else (alert("Ignoring " + tempFileList[i]))
}
}
alert("Files:\n" + fileList.length);
You can save a png with this
function save_png(afilePath)
{
// Save as a png
var pngFile = new File(afilePath);
pngSaveOptions = new PNGSaveOptions();
pngSaveOptions.embedColorProfile = true;
pngSaveOptions.formatOptions = FormatOptions.STANDARDBASELINE;
pngSaveOptions.matte = MatteType.NONE; pngSaveOptions.quality = 1;
activeDocument.saveAs(pngFile, pngSaveOptions, false, Extension.LOWERCASE);
}
To open a psd just use
app.open(fileRef);
To save it
function savePSD(afilePath)
{
// save out psd
var psdFile = new File(afilePath);
psdSaveOptions = new PhotoshopSaveOptions();
psdSaveOptions.embedColorProfile = true;
psdSaveOptions.alphaChannels = true;
activeDocument.saveAs(psdFile, psdSaveOptions, false, Extension.LOWERCASE);
}
I'm trying to create a batch prediction job in google cloud ml-engine. Unfortunately, I always get the same error:
{
insertId: "wr85wwg6shs9ek"
logName: "projects/tensorflow-test-1-168615/logs/ml.googleapis.com%2Ftest_job_23847239"
receiveTimestamp: "2017-08-04T16:07:29.524193256Z"
resource: {
labels: {
job_id: "test_job_23847239"
project_id: "tensorflow-test-1-168615"
task_name: "service"
}
type: "ml_job"
}
severity: "ERROR"
textPayload: "TypeError: decoding Unicode is not supported"
timestamp: "2017-08-04T16:07:29.524193256Z"
}
I create the file in java and upload it to a bucket with the following code:
BufferedImage bufferedImage = ImageIO.read(new URL(media.getUrl()));
int[][][] imageMatrix = convertToImageToMatrix(bufferedImage);
String imageString = matrixToString(imageMatrix);
String inputContent = "{\"instances\": [{\"inputs\": " + imageString + "}]}";
byte[] inputBytes = inputContent.getBytes(Charset.forName("UTF-8"));
Blob inputBlob = mlInputBucket.create(media.getId().toString() + ".json", inputBytes, "application/json");
inputPaths.add("gs://" + Properties.getCloudBucketNameInputs() + "/" + inputBlob.getName());
In this code, I download the image, convert it to uint8 matrix and format the matrix as a json string. The file gets created and is present in the bucket. I also verified, that the json file is valid.
In the next step, I collect all created files and start the prediction job:
GoogleCloudMlV1PredictionInput input = new GoogleCloudMlV1PredictionInput();
input.setDataFormat("TEXT");
input.setVersionName("projects/" + DatastoreOptions.getDefaultProjectId() + "/models/" + Properties.getMlEngineModelName() + "/versions/" + Properties.getMlEngineModelVersion());
input.setRegion(Properties.getMlEngineRegion());
input.setOutputPath("gs://" + Properties.getCloudBucketNameOutputs() + "/" + jobId);
input.setInputPaths(inputPaths);
GoogleCloudMlV1Job job = new GoogleCloudMlV1Job();
job.setJobId(jobId);
job.setPredictionInput(input);
engine.projects().jobs().create("projects/" + DatastoreOptions.getDefaultProjectId() , job).execute();
Finally, the job gets created but the result is the one from the beginning.
I also tried to start the job with the gcloud sdk, but the result is the same. But when I modify the file to remove the instances object and match the correct format for for online prediction, it works (To make it work, I need to remove the most of the rows from the input, because of the payload quota for online predictions).
I'm using the trained pets model from the object detection. One of my created input files can be found here.
What I'm doing wrong here?
did I answer your question in tensorflow serving prediction not working with object detection pets example? The input of batch prediction should not include '{"instances: }'.
Updated 2022: With hermes enabled you should be good now.
I'm using .toLocaleString() on react-native for my number output. All work on IOS but seems not working on Android. This is normal or? Do I need to use a function for the decimal?
rather than using a polyfill or an external dependency, change the JSC your android app builds with. For the newer versions of react-native add or override the following line in app/build.gradle
def jscFlavor = 'org.webkit:android-jsc-intl:+'
On newer versions of RN >0.62 you can change the JSC (JavaScriptCore) build variant to support/include ICU i18n library and necessary data allowing to use e.g. Date.toLocaleString and String.localeCompare
Replace this line in your android/app/build.gradle file
def jscFlavor = 'org.webkit:android-jsc:+'
with this line
def jscFlavor = 'org.webkit:android-jsc-intl:+'
Clean build and react-native run android
Note
This variant is about 6MiB larger per architecture than default.
So, expect your APK size to increase by about 4MB for each APK architecture build if using def enableSeparateBuildPerCPUArchitecture = true and a more bigger APK if separate build per architecture is disabled
You can use
number.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",")
This is an issue with Javascript core used to run react native in Android and not with react native itself. To overcome this, you'll have to integrate latest javascript core into your android build or upgrade react native to 0.59.
The details are documented in JSC Android Buildscripts repo.
Now for people who would like to do the locale string formatting without needing to integrate the entire javascript core, Javascript has Internationalization API which lets you format numbers to language sensitive format. Documentation available at MDN
This API is not available in android and needs to be polyfilled using Intl
In your project root, install the Intl library
yarn add intl
And then in your project's index file (index.js) add the following code at the top of the file:
if(Platform.OS === 'android') { // only android needs polyfill
require('intl'); // import intl object
require('intl/locale-data/jsonp/en-IN'); // load the required locale details
}
After doing the above two steps, you can now get locale string anywhere in your project using
new Intl.NumberFormat('en-IN', { style: 'currency', currency: 'INR' }).format(10000000);
In case you need to format number for another locale code, all the locale code details are available under the intl/locale-data/jsonp/ directory. Simply require the ones you need in your index.js file.
The reason for this is very old version of JavaScriptCore used by react-native. iOS embeds own version which is why it is working fine there.
Issue still exists (some reading about where it's heading https://github.com/facebook/react-native/issues/19737)
And more info about this from Airbnb devs
https://medium.com/airbnb-engineering/react-native-at-airbnb-the-technology-dafd0b43838 (search for "JavaScriptCore inconsistencies")
(value) => {
if (typeof value === 'number') {
const [currency, cents] = (value / 100).toFixed(2).toString().split('.');
return `${currency.replace(/\B(?=(\d{3})+(?!\d))/g, '.')},${cents}`;
}
return '0,00';
}
it's more recent and lightweight, please check
First install:
yarn add #formatjs/intl-getcanonicallocales #formatjs/intl-locale #formatjs/intl-pluralrules #formatjs/intl-numberformat
Check if need polyfill
import {shouldPolyfill} from '#formatjs/intl-numberformat/should-polyfill'
if (shouldPolyfill()) {
require('#formatjs/intl-getcanonicallocales/polyfill');
require('#formatjs/intl-locale/polyfill');
require('#formatjs/intl-pluralrules/polyfill');
require('#formatjs/intl-numberformat/polyfill');
require('#formatjs/intl-numberformat/locale-data/en-US');
}
see source: https://formatjs.io/docs/polyfills/intl-numberformat/
A very easy and straight forward way is to use a polyfill:
First it needs to be installed:
npm i number-to-locale-string-polyfill
This has to be added in your code, best just outside the class/function where you want to use .toLocaleString().
require('number-to-locale-string-polyfill');
I solved this using a custom function
function numberToMoney(amount, simbol = '$', decimalCount = 2, decimal
= ".", thousands = ",") {
decimalCount = Math.abs(decimalCount)
decimalCount = isNaN(decimalCount) ? 2 : decimalCount
const negativeSign = amount < 0 ? "-" : ""
const i = parseInt(amount = Math.abs(Number(amount) ||
0).toFixed(decimalCount)).toString()
const j = (i.length > 3) ? i.length % 3 : 0
return simbol + negativeSign + (j ? i.substr(0, j) + thousands : '') +
i.substr(j).replace(/(\d{3})(?=\d)/g, "$1" + thousands) + (decimalCount ?
decimal + Math.abs(amount - i).toFixed(decimalCount).slice(2) : "")
};
No need to install extra packages
Displaying currency values in React Native A zero dependencies solution:
const parseCurr = (value) =>
Platform.OS === 'android'
? '$' + price.toFixed(2)
: price.toLocaleString('en-US', { style: 'currency', currency:'USD' });
parseCurr(25.75) // => $25.75
A real life example (money values are multiplied by 100 for better cents precision) and converting the value to Brazilian Reais (R$)
export const getBRPrice = (price: number) => {
const parsedPrice =
( price / 100 ).toLocaleString('pt-BR', { style: 'currency', currency: 'BRL' });
return Platform.OS === 'android'
? `R$${ ( price / 100 ).toFixed(2) }`
: parsedPrice;
};
// getBRPrice(450) => R$4,50
Solution: 1
Go to your android/app/build.gradle
Replace this line def jscFlavor = 'org.webkit:android-jsc:+'
with this
def jscFlavor = 'org.webkit:android-jsc-intl:+'
Stop the metro and rebuild your app.
Solution: 2
Otherwise, you can use this package https://www.npmjs.com/package/luxon
import import {DateTime} from 'luxon';
const date = DateTime.fromISO(new Date().toISOString());
const formatted = date.toLocaleString(DateTime.DATETIME_MED);
console.log(formatted);
Merging some responses from this thread, you can use this code where it is possible to customize the formatted response
const defaultOptions = {
significantDigits: 2,
thousandsSeparator: ',',
decimalSeparator: '.',
symbol: '$'
}
const currencyFormatter = (value, options) => {
if (typeof value !== 'number') value = 0.0
options = { ...defaultOptions, ...options }
value = value.toFixed(options.significantDigits)
const [currency, decimal] = value.split('.')
return `${options.symbol} ${currency.replace(
/\B(?=(\d{3})+(?!\d))/g,
options.thousandsSeparator
)}${options.decimalSeparator}${decimal}`
}
function numberWithCommas(x) {
return x.toString().replace(/\B(?<!\.\d*)(?=(\d{3})+(?!\d))/g, ",");
}
This will remove commas after decimal point
If you need two digits after the decimal and always want to round down
you can use below code.
Math.floor(1233.31231231 * 100) / 100).toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",")
To round differently check out this resource
If these solutions don't work for you... In my case, I was using React Native with the expo web simulator and wanted to format minutes with 2 characters ie. 00, 01, ... 10, 11, etc. My solution was to check if minutes contained one character, if so, prepend a "0".
... + (date.getMinutes().toString().length == 1 ? "0" : "") + date.getMinutes().toString()
UPDATE 1: I've created a GIST with actual running code in a test jig to show exactly what I'm running up against. I've included working bot tokens (to a throw-away bot) and access to a telegram chat that the bot is already in, in case anyone wants to take a quick peek. It's
https://gist.github.com/pleasantone/59efe5f9d7f0bf1259afa0c1ae5a05fe
UPDATE 2: I've looked at the following articles for answers already (and a ton more):
https://github.com/francois2metz/html5-formdata/blob/master/formdata.js
PhantomJS - Upload a file without submitting a form
https://groups.google.com/forum/#!topic/casperjs/CHq3ZndjV0k
How to instantiate a File object in JavaScript?
How to create a File object from binary data in JavaScript
I've got a program written in casperjs (phantomjs) that successfully sends messages to Telegram via the BOT API, but I'm pulling my hair out trying to figure out how to send up a photo.
I can access my photo either as a file, off the local filesystem, or I've already got it as a base64 encoded string (it's a casper screen capture).
I know my photo is good, because I can post it via CURL using:
curl -X POST "https://api.telegram.org/bot<token>/sendPhoto" -F chat_id=<id> -F photo=#/tmp/photo.png
I know my code for connecting to the bot api from within capserjs is working, as I can do a sendMessage, just not a sendPhoto.
function sendMultipartResponse(url, params) {
var boundary = '-------------------' + Math.floor(Math.random() * Math.pow(10, 8));
var content = [];
for (var index in params) {
content.push('--' + boundary + '\r\n');
var mimeHeader = 'Content-Disposition: form-data; name="' + index + '";';
if (params[index].filename)
mimeHeader += ' filename="' + params[index].filename + '";';
content.push(mimeHeader + '\r\n');
if (params[index].type)
content.push('Content-Type: ' + params[index].type + '\r\n');
var data = params[index].content || params[index];
// if (data.length !== undefined)
// content.push('Content-Length: ' + data.length + '\r\n');
content.push('' + '\r\n');
content.push(data + '\r\n');
};
content.push('--' + boundary + '--' + '\r\n');
utils.dump(content);
var xhr = new XMLHttpRequest();
xhr.open("POST", url, false);
if (true) {
/*
* Heck, try making the whole thing a Blob to avoid string conversions
*/
body = new Blob(content, {type: "multipart/form-data; boundary=" + boundary});
utils.dump(body);
} else {
/*
* this didn't work either, but both work perfectly for sendMessage
*/
body = content.join('');
xhr.setRequestHeader("Content-Type", "multipart/form-data; boundary=" + boundary);
// xhr.setRequestHeader("Content-Length", body.length);
}
xhr.send(body);
casper.log(xhr.responseText, 'error');
};
Again, this is in a CASPERJS environment, not a nodejs environment, so I don't have things like fs.createReadableStream or the File() constructor.