coordFileName = coordFileLocation + 'barkersfiel3_LatLongs_clustered.csv'
clusterFileName = coordFileLocation + 'clusteringResult.csv'
patchFilePattern = {'males': '/M_*', 'females': '/F_*'}
subfolder = folder + '/images/clustercharts2/'
vlocation = folder + 'videos/'
imagePattern = '/c_%06d.png'
coordinates = monet.getClusters(clusterFileName)
for expPath in sorted(glob.glob(folder + 'ANALYZED/E_05*')):
experiment = expPath.split("/")[-1]
vname = vlocation + experiment + '_cdots.mp4'
background = coordFileName.replace('.csv', '.png')
imageLocation = subfolder + experiment
print(experiment)
subprocess.Popen(['mkdir', subfolder + experiment])
clusters = monet.populateClusters(len(coordinates[0]), coordFileName,
expPath, patchFilePattern)
genotypes = monet.getGenotypes(clusters[0]['male'][0])
aggDict = monet.autoGenerateGenotypesDictionary(groups, genotypes)
aggList = monet.aggregateClusters(clusters, aggDict)
monet.generateClusterGraphs(aggList, [coordinates[1], coordinates[0]],
imageLocation, colors)
video = monet.generateVideo(vname, background, imageLocation, imagePattern)
video.wait()
'black', 'cyan', 'teal'
]
groups = ["W", "H", "R", "B", "E"]
folder = '/Volumes/marshallShare/Comoros_STP/Comoros/output/'
patchFilePattern = {'males': '/M_*', 'females': '/F_*'}
imagePattern = '/c_%06d.png'
bgname = '/Volumes/marshallShare/Comoros_STP/Comoros/all_sites2.png'
clusterName = '/Volumes/marshallShare/Comoros_STP/Comoros/all_sites2.csv'
for expFolder in sorted(glob.glob(folder + '*normal')):
expBaseName = expFolder.split('/')[-1]
print(expBaseName)
for expPath in sorted(glob.glob(expFolder + '/ANALYZED/E_*')):
vname = expPath.replace('ANALYZED', 'videos') + '_cdots.mp4'
coordinates = monet.getClusters(clusterName)
imageLocation = expPath.replace('ANALYZED', 'images/clustercharts')
subprocess.Popen(['mkdir', imageLocation])
clusters = monet.populateClusters(len(coordinates[0]), '', expPath,
patchFilePattern)
genotypes = monet.getGenotypes(clusters[0]['male'][0])
aggDict = monet.autoGenerateGenotypesDictionary(groups, genotypes)
aggList = monet.aggregateClusters(clusters, aggDict)
monet.generateClusterGraphs(aggList, coordinates, imageLocation,
colors, None, 0.1, 512, True)
video = monet.generateVideo(vname, bgname, imageLocation, imagePattern)
video.wait()
'females': '/F_*'
}, '/c_%06d.png')
(bgName, originalCoordFile) = (glob.glob(extras + '/*_VBG_' + clstSample +
'_*.png')[0],
glob.glob(extras + '/*_CLS_' + clstSample +
'_*.csv')[0])
(clusterName, vname,
imageLocation) = (glob.glob(extras + '/*_AGCV_' + clstSample + '_*.csv')[0],
outPath + 'video/movie.mp4', outPath + 'clustercharts/')
original_corners = aux.get_corners(originalCoordFile)
coordinates = monet.getClusters(clusterName)
subprocess.Popen(['mkdir', imageLocation])
###############################################################################
# Create video
###############################################################################
clusters = monet.populateClusters(len(coordinates[0]), '', expPath,
patchFilePattern)
clusters
aggList = monet.aggregateClusters(clusters, aggDict)
monet.generateClusterGraphs(aggList,
coordinates,
imageLocation,
colors,
original_corners,
0.002,
512,
skip=True)
video = monet.generateVideo(vname, bgName, imageLocation, imagePattern)
video.wait()
