Closed kjamartens closed 3 months ago
Hi Koen,
Batch processing a folder in PoCA is possible even if it is the most intuitive feature... ^^' Nevertheless, until version 0.9.0 (just pushed now), it was not possible to save one object stat file per dataset. This is changed now.
The following macro allows to open a file (in a specific way with the columns), create a delaunay, do a segmentation, save the objec stats and close the dataset:
{
"MainWindow": {
"open": {
"calibration_t": 1.0,
"calibration_xy": 1.0,
"calibration_z": 1.0,
"frame": 4,
"intensity": 3,
"separator": 44,
"sigmaZ": 6,
"x": 0,
"y": 1,
"z": 2
}
}
}
{
"DetectionSet": {
"computeDelaunay": {
"onSphere": false
}
}
}
{
"DelaunayTriangulation": {
"objectCreationParameters": {
"cutDistance": 50.0,
"inROIs": false,
"maxArea": 1000.0,
"maxLocs": 500,
"minArea": 0.0,
"minLocs": 3,
"useDistance": true,
"useMaxArea": false,
"useMaxLocs": false,
"useMinArea": false,
"useMinLocs": true
}
}
}
{
"DelaunayTriangulation": {
"createFilteredObjects": ""
}
}
{
"DelaunayTriangulation": {
"selected": false
}
}
{
"ObjectList": {
"saveStatsObjs": {
"separator": ","
}
}
}
{
"MainWindow": {
"close": ""
}
}
When this macro is loaded in the Runner
of theMacro tab
, you can click the Open dir
button and choose a folder to batch process.
The macro will be applied on all the files inside the folder. If one file is called example1.csv
, the object stat file created will be called example1_statsObjs.csv
.
v0.9.0 is here: https://github.com/flevet/PoCA/releases/tag/0.9.0
Let me know if everything works.
Closing the issue as there was no follow-up
Hi Florian, Wonderful work on PoCA!
I want to know if it could be possible to run PoCA 'headless' and/or in 'batch' fashion. My main goal, for instance, would be similar to the following:
Importantly, these might be somewhat giant files, and I don't want to interact with them, but just use PoCA as a batch analysis method. I assume that not requiring visualisation might help a lot with performance?
Please let me know if there is anything you can do in this aspect
Best, Koen Martens