Bio_informatics_science_technology_image_beyond_1/2025-12-26_QuPath_输出detections的csv和txt格式文件.qmd at main · iamhealthy/Bio_informatics_science_technology_image_beyond_1 · GitHub

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---
title: 输出csv和txt
subtitle: 输出detections的csv和txt格式文件
date: 2025-12-26
toc-depth: 4
toc-expand: true
lang: en
---

对于QuPath项目图片的detections结果，有时候因为某种需要，就想输出逗号分隔（comma-separated）的csv格式文件，或者就想输出制表符分隔（tab-separated）的txt格式文件。

<center>
![](images/qupath-csv-txt.png){width="100%"}
</center>

## 1. 输出csv和txt格式文件

参考如下代码：

```
// QuPath v0.6.0

import qupath.lib.gui.tools.MeasurementExporter

// #########################################
// Export all detections as comma-separated file (.csv)
// #########################################
// Make the current image name as a list
def entryList = [getProjectEntry()]

// If the folder detections exist, do noting; else create the folder
def outputPath = buildFilePath(PROJECT_BASE_DIR, "detections")
mkdirs(outputPath)

// Separate each measurement value in the output file with ","
def separator = ","

def csvName = getCurrentImageName() + "_detections.csv"
def csvOutputFile = new File(buildFilePath(outputPath, csvName))

// Create the measurementExporter and start the export
def exporter = new MeasurementExporter()
    .imageList(entryList)
    .separator(separator)
    .allDetections()
    .exportMeasurements(csvOutputFile)

println "${csvOutputFile} saved."

// #########################################
// Export all detections as tab-separated file (.txt)
// #########################################
def txtName = getCurrentImageName() + "_detections.txt"
def txtOutputFile = new File(buildFilePath(outputPath, txtName))
saveDetectionMeasurements("${txtOutputFile}")

println "${txtOutputFile} saved."

println "Done."
```

以上代码部分参考自[@MicroscopyRA2020]。

确认下文件已经保存成功：
```{r}
#| eval: false
# R v4.5.2
outputPath <- "path/to/detections/"
outputPath |> fs::dir_tree()

path/to/detections/
├── image1_detections.csv
├── image1_detections.txt
├── image2_detections.csv
├── image2_detections.txt
├── image3_detections.csv
├── image3_detections.txt
├── image4_detections.csv
├── image4_detections.txt
├── image5_detections.csv
└── image5_detections.txt
```

[给我买杯茶🍵](给我买杯茶.qmd)

## References