def main():
with open('pitch-type.csv', 'r') as f:
reader = csv.reader(f)
for type in reader:
# read data
AlignedDataLists = [] # [csvfile index][joint index][time][dim]
csvfiles = type[2:]
Dir = type[0]
name = Dir.split('/')[-2]
# read all data and hold it to DataList
refpath = referenceReader(name + '-' + type[1] + '.csv',
Dir,
superDir=name)
#print(refpath)
refData = csvReader(refpath, type[0])
#refData.show()
#exit()
for csvfile in csvfiles:
if csvfile == refpath:
continue
inpData = csvReader(csvfile, Dir)
DP_ = DP(refData, inpData, verbose=False, ignoreWarning=True)
DP_.calc()
# aligned
alignedData = DP_.aligned()
AlignedDataLists.append(np.array(list(alignedData.values())))
AlignedDataLists = np.array(AlignedDataLists)
#print(AlignedDataLists.shape) (9, 39, 1587, 3)
# calculate mean
mean = np.mean(AlignedDataLists, axis=0) #(39, 1587, 3)
meanData = Data(interpolate='linear')
meanData.setvalues('mean movement',
x=mean[:, :, 0],
y=mean[:, :, 1],
z=mean[:, :, 2],
jointNames=list(refData.joints.keys()))
variance = np.var(AlignedDataLists, axis=0) #(39, 1587, 3)
std = np.std(AlignedDataLists, axis=0)
colors = std2color(std)
#meanData.show(colors=colors)
# save file and bone
meanData.save(os.path.join(
'result', name, '{0}-{1}-mean.MP4'.format(name, type[1])),
fps=240,
colors=colors,
saveonly=True)
from dp.data import Data
for i in range(1, 7 + 1):
data = Data()
data.set_from_trc('./trc/IMAMURA/IMAMURA{0:02d}.trc'.format(i),
lines='volleyball')
data.save('__video/IMAMURA{0:02d}.mp4'.format(i), fps=60, saveonly=True)
exit()
for i in range(8, 34 + 1):
data = Data()
data.set_from_trc('./trc/IMAMURA/IMAMURA{0:02d}.trc'.format(i),
lines='volleyball')
data.save('__video/IMAMURA{0:02d}.mp4'.format(i), fps=60, saveonly=True)
for i in range(35, 36 + 1):
data = Data()
data.set_from_trc('./trc/IMAMURA/IMAMURA{0:02d}.trc'.format(i),
lines='volleyball')
data.save('__video/IMAMURA{0:02d}.mp4'.format(i), fps=60, saveonly=True)