test_data.py
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__author__ = 'chunk'
from ..common import *
from ..mdata import MSR, CV, ILSVRC, ILSVRC_S, crop
from ..mmodel.caffe.helper import *
def test_MSR():
dmsr = MSR.DataMSR()
# msrd.format()
# msrd.build_list()
# dmsr.store_image()
# dmsr.store_tag()
# dmsr.extract_feat(feattype='ibd')
dmsr.store_feat(feattype='ibd')
def test_CV():
dcv = CV.DataCV()
# dcv.format()
# dcv.build_list()
# dcv.get_feat()
# dcv.extract_feat()
print dcv.get_feat("/home/hadoop/data/HeadShoulder/dst/Train/Img/132/7c5fe33bd194fc1ae7b0023956ebd.jpg", 'ibd')
X, Y = dcv.load_data()
print len(X), len(Y)
def test_ILSVRC(category='Train_100'):
timer = Timer()
# dil = ILSVRC.DataILSVRC(base='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Train')
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category)
# dil = ILSVRC.DataILSVRC(base='/media/chunk/Elements/D/data/ImageNet/img/ILSVRC2013_DET_val', category='Train_1')
print '[time]category:', category
timer.mark()
print '[time]formatting...'
dil.format()
timer.report()
timer.mark()
print '[time]embedding...'
dil.embed(rate=0.2)
timer.report()
timer.mark()
print '[time]extracting...'
dil.extract_feat(feattype='ibd')
timer.report()
# dil.extract_feat(feattype='hog')
# timer.mark()
# dil.store_img()
# timer.report()
# timer.mark()
# dil.store_tag()
# timer.report()
#
# timer.mark()
# dil.store_info()
# timer.report()
#
# timer.mark()
# dil.store_feat()
# timer.report()
def test_ILSVRC_S_LOCAL():
timer = Timer()
timer.mark()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Train_2')
dil.delete_table()
dil.format()
dil.store_img()
timer.report()
dils = ILSVRC_S.DataILSVRC_S(base='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Train_2')
# dils._extract_data(mode='hbase', writeback=True)
# dils._embed_data(mode='hbase', rate=0.1, readforward=True, writeback=True)
# dils._extract_feat( mode='hbase', feattype='ibd', readforward=True, writeback=True)
dils._extract_data(mode='hbase', writeback=False)
dils._embed_data(mode='hbase', rate=0.1, readforward=False, writeback=False)
dils._extract_feat(mode='hbase', feattype='ibd', readforward=False, writeback=True)
timer.report()
def test_ILSVRC_S_SPARK(category='Train_1000'):
timer = Timer()
timer.mark()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category)
dil.delete_table()
dil.format()
dil.store_img()
timer.report()
# return
dils = ILSVRC_S.DataILSVRC_S(base='ILSVRC2013_DET_val', category=category)
timer.mark()
dils._extract_data(mode='spark', writeback=False)
timer.report()
# print dils.rdd_data.count() # pass
# return
timer.mark()
dils._embed_data(mode='spark', rate=0.2, readforward=False, writeback=False)
timer.report()
timer.mark()
dils._extract_feat(mode='spark', feattype='ibd', readforward=False, writeback=True, withdata=True)
timer.report()
def test_ILSVRC_S_ANALYSIS(category='Train_1000'):
timer = Timer()
# timer.mark()
# dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category=category)
# dil.delete_table()
# dil.format()
# dil.store_img()
# timer.report()
# # return
dils = ILSVRC_S.DataILSVRC_S(base='ILSVRC2013_DET_val', category=category)
timer.mark()
dils._extract_data(mode='analysis', writeback=False)
timer.report()
# print dils.rdd_data.count() # pass
# return
timer.mark()
dils._extract_feat(mode='analysis', feattype='ibd', readforward=False, writeback=True, withdata=True)
timer.report()
def test_ILSVRC_S():
# test_ILSVRC_S_LOCAL()
test_ILSVRC_S_SPARK()
def test_pipeline():
timer = Timer()
timer.mark()
dils = ILSVRC_S.DataILSVRC_S(base='MSPIDER', category=None)
dils._extract_data(mode='spark', writeback=False)
dils._embed_data(mode='spark', rate=0.1, readforward=False, writeback=False)
dils._extract_feat(mode='spark', feattype='ibd', readforward=False, writeback=True, withdata=True)
timer.report()
def test_crop():
# crop.crop_Test()
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Train_5000')
dil.crop(size=(200, 200))
dil2 = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Train_5000_crop_pil')
dil2.format()
dil2.embed(rate=0.2)
X, Y = dil2.load_data(mode='local', feattype='coef')
print X[0]
print Y
print np.array(X).shape, np.array(Y).shape
def test_caffe():
# read_lmdb(lmdb_name=os.path.join(caffe_root, 'examples/imager/data_lmdb'))
# return
dil = ILSVRC.DataILSVRC(base_dir='/data/hadoop/ImageNet/ILSVRC/ILSVRC2013_DET_val', category='Train_5000_crop_pil')
X = dil.load_data(mode='local', feattype='coef', shuffle=True)
print X[0]
print np.array(X).shape
write_lmdb(X[7000:])
if __name__ == '__main__':
# test_MSR()
# test_CV()
# test_ILSVRC()
# test_ILSVRC_S()
test_pipeline()
print 'helllo'