Metashape导出深度图

“metashape在生成模型的时候会在工程目录下生成“depth_maps”文件夹，里面有“data0.zip”、“data1.zip”、…，但是我们自己并不熟悉其中数据组成的情况，难以直接使用，需要Python脚本来实现。详情参考：Exporting depth maps

 脚本来源于Exporting depth maps

这里也粘贴出其源码 ，脚本命名为“export_depth_maps_dialog.py”

# Exports depth map of each camera.
#
# This is python script for metashape Pro. scripts repository: https://github.com/agisoft-llc/metashape-scripts

import metashape
from PySide2 import QtGui, QtCore, QtWidgets

try:
    import numpy as np
except importError:
    print("Please ensure that you installed numpy via 'pip install numpy' - see https://agisoft.freshdesk.com/support/solutions/articles/31000136860-how-to-install-external-python-module-to-metashape-professional-package")
    raise


class ExportDepthDlg(QtWidgets.QDialog):

    def __init__ (self, parent):
        QtWidgets.QDialog.__init__(self, parent)
        self.setWindowTitle("Export depth maps")

        self.btnQuit = QtWidgets.QPushButton("&Close")
        self.btnP1 = QtWidgets.QPushButton("&Export")
        self.pBar = QtWidgets.QProgressBar()
        self.pBar.setTextVisible(False)

        # self.selTxt =QtWidgets.QLabel()
        # self.selTxt.setText("Apply to:")
        self.radioBtn_all = QtWidgets.QRadioButton("Apply to all cameras")
        self.radioBtn_sel = QtWidgets.QRadioButton("Apply to selected")
        self.radioBtn_all.setChecked(True)
        self.radioBtn_sel.setChecked(False)

        self.formTxt = QtWidgets.QLabel()
        self.formTxt.setText("Export format:")
        self.formCmb = QtWidgets.QComboBox()
        self.formCmb.addItem("1-band F32")
        self.formCmb.addItem("Grayscale 8-bit")
        self.formCmb.addItem("Grayscale 16-bit")

        # creating layout
        layout = QtWidgets.QGridLayout()
        layout.setSpacing(10)
        layout.addWidget(self.radioBtn_all, 0, 0)
        layout.addWidget(self.radioBtn_sel, 1, 0)
        layout.addWidget(self.formTxt, 0, 1)
        layout.addWidget(self.formCmb, 1, 1)
        layout.addWidget(self.btnP1, 2, 0)
        layout.addWidget(self.btnQuit, 2, 1)
        layout.addWidget(self.pBar, 3, 0, 1, 2)
        self.setLayout(layout)  

        QtCore.QObject.connect(self.btnP1, QtCore.SIGNAL("clicked()"), self.export_depth)
        QtCore.QObject.connect(self.btnQuit, QtCore.SIGNAL("clicked()"), self, QtCore.SLOT("reject()"))    

        self.exec()

    def export_depth(self):

        app = QtWidgets.QApplication.instance()
        global doc
        doc = metashape.app.document
        # active chunk
        chunk = doc.chunk

        if self.formCmb.currentText() == "1-band F32":
            F32 = True
        elif self.formCmb.currentText() == "Grayscale 8-bit":
            F32 = False
        elif self.formCmb.currentText() == "Grayscale 16-bit":
            F32 = False
        else:
            print("script aborted: unexpected error.")
            return 0

        selected = False
        camera_list = list()
        if self.radioBtn_sel.isChecked():
            selected = True
            for camera in chunk.cameras:
                if camera.selected and camera.transform and (camera.type == metashape.Camera.Type.Regular):
                    camera_list.append(camera)
        elif self.radioBtn_all.isChecked():
            selected = False
            camera_list = [camera for camera in chunk.cameras if (camera.transform and camera.type == metashape.Camera.Type.Regular)]

        if not len(camera_list):
            print("script aborted: nothing to export.")
            return 0

        output_folder = metashape.app.getExistingDirectory("Specify the export folder:")
        if not output_folder:
            print("script aborted: invalid output folder.")    
            return 0

        print("script started...")
        app.processEvents()
        if chunk.transform.scale:
            scale = chunk.transform.scale
        else:
            scale = 1
        count = 0
        
        for camera in camera_list:
            if camera in chunk.depth_maps.keys():
                depth = chunk.depth_maps[camera].image()
                if not F32:
                    img = np.frombuffer(depth.tostring(), dtype=np.float32)
                    depth_range = img.max() - img.min()
                    img = depth - img.min()
                    img = img * (1. / depth_range)
                    if self.formCmb.currentText() == "Grayscale 8-bit":
                        img = img.convert("RGB", "U8")
                        img = 255 - img
                        img = img - 255 * (img * (1 / 255)) # normalized
                        img = img.convert("RGB", "U8")
                    elif self.formCmb.currentText() == "Grayscale 16-bit":
                        img = img.convert("RGB", "U16")
                        img = 65535 - img
                        img = img - 65535 * (img * (1 / 65535)) # normalized
                        img = img.convert("RGB", "U16")
                else:
                    img = depth * scale
                img.save(output_folder + "/" + camera.label + ".tif")
                print("Processed depth for " + camera.label)
                count += 1
                self.pBar.setValue(int(count / len(camera_list) * 100))
                app.processEvents()
        self.pBar.setValue(100)
        print("script finished. Total cameras processed: " + str(count))
        print("Depth maps exported to:n " + output_folder)
        return 1 


def export_depth_maps():
    app = QtWidgets.QApplication.instance()
    parent = app.activeWindow()

    dlg = ExportDepthDlg(parent)


label = "scripts/Export Depth Maps"
metashape.app.addMenuItem(label, export_depth_maps)
print("To execute this script press {}".format(label))

然后到自己C盘的用户文件夹中找到“AppData\LocalAgisoftmetashape Proscripts”，把这个python脚本放在scripts文件夹下。

由于脚本除了基础的python环境，还需要安装numpy库，因此要用metashape自己的python来调用pip安装numpy。具体做法如下：例如我的metashape安装在“D:Program FilesAgisoftmetashape Pro”，那其python环境就在“D:Program FilesAgisoftmetashape Propython”，然后打开cmd命令行，输入以下命令：

D:"Program Files"Agisoft"metashape Pro"pythonpython.exe -m pip install numpy

然后打开metashape界面就会发现菜单栏发生了变化，如下图。

 直接点击，设置自己需要的参数即可使用。