sensecarbon_tsv.py

def showRGBData(data):
    from scipy.misc import toimage
    toimage(data).show()

def run_tests():

    if False:

        pathImg = r'O:\SenseCarbonProcessing\BJ_NOC\01_RasterData\00_VRTs\02_Cutted\2014-07-26_LC82270652014207LGN00_BOA.vrt'
        pathMsk = r'O:\SenseCarbonProcessing\BJ_NOC\01_RasterData\00_VRTs\02_Cutted\2014-07-26_LC82270652014207LGN00_Msk.vrt'

        if False:
            TSD = TimeSeriesDatum(pathImg)
            TSD.setMask(pathMsk)

            print(TSD)

            c = [670949.883,-786288.771]

            w_x = w_y = 1000 #1km box
            srs = TSD.getSpatialReference()
            ring = ogr.Geometry(ogr.wkbLinearRing)
            import itertools
            for x,y in itertools.product([1000, -1000], repeat=2):
                ring.AddPoint(c[0]+x, c[1]+y)
            ring.AssignSpatialReference(srs)
            bb = ogr.Geometry(ogr.wkbPolygon)
            bb.AddGeometry(ring)
            bb.AssignSpatialReference(srs)




        def getChip3d_OLD(chips, r,g,b, range_r, range_g, range_b):

            nl, ns = chips[r].shape
            a3d = np.ndarray((3,nl,ns), dtype='float')

            rgb_idx = [r,g,b]
            ranges = [range_r, range_g, range_b]

            for i, rgb_i in enumerate(rgb_idx):
                range = ranges[i]
                data = chips[rgb_i].astype('float')
                data -= range[0]
                data *= 255./range[1]
                a3d[i,:] = data

            np.clip(a3d, 0, 255, out=a3d)

            return a3d.astype('uint8')

        app  = QApplication([])
        main = PictureTest()
        main.show()

        range_r = [0,500]
        range_g = [0,500]
        range_b = [0,500]

        bands = [3,2,1]
        #chipData = TSD.readSpatialChip(bb,bands=bands )

        #main.addNumpy(getChip3d(chipData, bands, (range_r, range_g, range_b)))
        app.exec_()
        exit(0)

    if False:
        dirSrcLS = r'O:\SenseCarbonProcessing\BJ_NOC\01_RasterData\00_VRTs\02_Cutted'
        filesImgLS = file_search(dirSrcLS, '2014*_BOA.vrt')
        filesMsk = file_search(dirSrcLS, '2014*_Msk.vrt')
        TS = TimeSeries(imageFiles=filesImgLS, maskFiles=filesMsk)

        print(TS)
        exit(0)


    if True:
        import PyQt4.Qt

        app=PyQt4.Qt.QApplication([])
        S = TimeSeriesViewer(None)
        S.run()

        if True:
            dirSrcLS = r'\\141.20.140.107\NAS_Processing\SenseCarbonProcessing\BJ_NOC\01_RasterData\02_CuttedVRT'
            dirSrcRE = r'\\141.20.140.91\SAN_RSDBrazil\RapidEye\3A_VRTs'
            filesImgLS = file_search(dirSrcLS, '20*_BOA.vrt')
            filesImgRE = file_search(dirSrcRE, '*.vrt', recursive=True)
            #filesMsk = file_search(dirSrc, '2014*_Msk.vrt')
            S.ua_addTSImages(files=filesImgLS[0:2])
            S.ua_addTSImages(files=filesImgRE[0:2])
            #S.ua_addTSImages(files=filesImgLS)
            #S.ua_addTSImages(files=filesImgRE)
            #S.ua_loadExampleTS()


            #S.ua_addTSMasks(files=filesMsk)

        #S.ua_addView(bands=[4,5,3])

        app.exec_()

    if False:
        import qgis.core

        # supply path to where is your qgis installed

        #QgsApplication.setPrefixPath("/Applications/QGIS_2.12.app/Contents/MacOS/QGIS", True)

        # load providers
        QgsApplication.initQgis()

        a = QgsApplication([], True)

        S = TimeSeriesViewer(a)
        S.run()

        if True:
            dirSrcLS = r'O:\SenseCarbonProcessing\BJ_NOC\01_RasterData\00_VRTs\02_Cutted'
            filesImgLS = file_search(dirSrcLS, '2014*_BOA.vrt')
            filesMsk = file_search(dirSrcLS, '2014*_Msk.vrt')
            S.ua_addTSImages(files=filesImgLS)
            S.ua_addTSMasks(files=filesMsk)

        #S.ua_addView(bands=[4,5,3])

        a.exec_()

    print('Tests done')
    exit(0)


if __name__ == '__main__':
    run_tests()
    print('Done')