Commit 9d137b38 authored by Andrew Cohen's avatar Andrew Cohen

tracker errors go to console.error

parent 65a1dca4
......@@ -327,7 +327,7 @@ function launchTracker()
global.trackerChild = spawn(trackerPath,[g_db_path]);
global.trackerChild.on('error', (err) => {
console.log('Failed to start child process.' + err);
console.error('Failed to start child process.' + err);
});
global.trackerChild.stdout.on('data', (data) => {
......@@ -335,7 +335,7 @@ function launchTracker()
});
global.trackerChild.stderr.on('data', (data) => {
console.log(`tracker: ${data}`);
console.error(`tracker: ${data}`);
});
global.trackerChild.on('close', (code) => {
......
<h1> welcome to lever.js -- computational tools for live cell & organelle microscopy </h1>
lever.js is intended to enable collaboration, and to enable ubiquitous interaction with the images and analysis. the goal is to bring together expertise in biology and medicine with microscopy and computation. the vision is of a community built around learning from images and data. i am very happy for you to make use of the software tools you find here, but i'm especially keen to get to host your movies and data, to help bring together a larger resource we can all benefit from. new collaborators are always welcome, as are new users.
the best part about lever.js is that it's already running. see it in action at https://leverjs.net. start your own server or launch the stand-alone with a single click, point it at your time-lapse images. tell it how you want to visualize, to analyze and to interact with your data, and with the data that others have chosen to share.
lever.js is intended to enable collaboration, and to enable ubiquitous interaction with the images and analysis. the goal is to bring together expertise in biology and medicine with microscopy and computation. the vision is of a community built around learning from images and data. new collaborators are always welcome, as are new users.
-andy cohen <br>
acohen @ coe . drexel . edu <br>
......@@ -9,7 +11,7 @@ https://bioimage.coe.drexel.edu
<h1> introduction </h1>
there are two ways to run lever -- standalone or client server. it's mostly the same code either way, but there are some key differences. both use a node.js backend, with a webgl2 rendering client. the standalone uses the http://electron.atom.io framework to combine nodejs with chromium into an executable that can be run on windows/mac or linux. the client server uses nodejs for the server, combining google's v8 javascript engine with operating system support (e.g. file system access and manipulation). the client is any webgl2 compatible browser -- currently chrome (suggested), firefox or opera. note that edge and safari are not supported yet (hopefully soon).
there are two ways to run lever -- standalone or client server. it's mostly the same code either way, but there are some key differences. both use a node.js backend, with a webgl2 rendering client. the standalone uses the http://electron.atom.io framework to combine nodejs with chromium into an executable that can be run on windows/mac or linux. the client server uses nodejs for the server, combining google's v8 javascript engine with operating system support for e.g. file system access and manipulation. the client is any webgl2 compatible browser -- currently chrome (suggested), firefox or opera. note that edge and safari do not yet support webgl2 (come on Microsft and Apple, let's get after it!)
most functionality is available from either stand-alone or client-server. the exception is importing microscope files into the lever format, and using the scriptable visualization for movie making -- both of these are only available in the stand-alone (electron) app.
......@@ -19,7 +21,7 @@ the image window shows the images together with analysis results, with play/paus
<h1> release notes </h1>
this is a preview release. this is for collaborators with Andy Cohen's (https://bioimage.coe.drexel.edu) group to have a chance to try out the new software, test features and provide feedback. a manuscript describing this work is being planned now. once that manuscript is published, the program will be released free and open source...(gpl? mit? bsd? suggestions welcome...) until then, the software is not licensed for redistribution, and is not intended for public use.
this is a preview release. this is for collaborators with Andy Cohen's (https://bioimage.coe.drexel.edu) group to have a chance to try out the new software, test features and provide feedback. a manuscript describing this work is being planned now. once that manuscript is published, the program will be released free and open source...(gpl? mit? bsd? suggestions welcome...) until then, **the software is not yet licensed for redistribution, and is not intended for public use**.
please log any issues or suggestions via the gitlab server. you can create an account, and then open issues for suggestions/bugs/questions.
......@@ -41,8 +43,8 @@ this is for windows 64 only. no admin account credentials required. there's a le
<h2>prerequisites</h2>
0. install node.js
1. install python 2.7 (and make sure it's on your path!)
0. install node.js (I suggest the latest 'LTS' version)
1. install python 2.7 (and make sure it's on your path!). from the node.js command prompt, type 'python' to be sure.
2. if you want to analyze the images, and you don't have **matlab 2017a runtime** installed, download and and run the mcr installer from here: https://www.mathworks.com/products/compiler/mcr.html
......
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