def evaluateVideos(seqs, tag):
dh = DeviceHelper()
print('Using ' + str(dh.device))
cp = Checkpointer(params.checkpoint_path, dh.device)
model, _ = Driver.CreateModelAndOpt(params, dh, cp)
for seq_info in seqs:
seq, _, _ = seq_info
print('Processing ' + seq)
s = SingleVideo(params.image_dir, params.pose_dir, seq_info)
ds = DeviceDataset(s)
output = os.path.join(params.pred_dir, tag + '_' + seq + '.npy')
Driver.evalOnVideo(model, ds, output)
seq_list = [x for x, _, _ in seqs]
Plotting.plot(params.pose_dir, params.pred_dir, tag + '_',
params.result_dir, seq_list)
def test():
bytes_in_terabyte = 1099511627776
scrub_fraction = 1
sector_size = 512
num_sectors_per_disk = (585937500) * 1
num_tb_per_disk = mpf(sector_size * num_sectors_per_disk) / bytes_in_terabyte
sector_error_rate = 4.096e-11
sector_writes_per_disk_per_hr = mpf(143750) / 24
writes_to_sector_per_hour = 0.0045
low_scrub = 168
high_scrub = 169
scrub_incr = 12
print writes_to_sector_per_hour
x = []
y = []
dp = DataPoints()
for i in range(low_scrub, high_scrub, scrub_incr):
ssfm = RandomScrubSectorFailModel(num_sectors_per_disk, scrub_fraction*num_sectors_per_disk, i, sector_error_rate, writes_to_sector_per_hour, 1)
#x.append(ssfm.disk_scrub_period)
x.append(i)
y.append(ssfm.prob_of_bad_sector(i))
dp.addDataSet(x,y,"Random Scrub Model")
x = []
y = []
for i in range(low_scrub, high_scrub, scrub_incr):
dsfm = DeterministicScrubSectorFailModel(num_sectors_per_disk, scrub_fraction*num_sectors_per_disk, i, sector_error_rate, writes_to_sector_per_hour, 1)
#x.append(ssfm.disk_scrub_period)
x.append(i)
y.append(dsfm.prob_of_bad_sector(i))
print "Scrub", i, dsfm.prob_of_bad_sector(i)
dp.addDataSet(x,y,"Deterministic Scrub Model")
x = []
y = []
for i in range(low_scrub, high_scrub, scrub_incr):
berfm = BERSectorFailModel(num_sectors_per_disk, scrub_fraction*num_sectors_per_disk, i, sector_error_rate, writes_to_sector_per_hour, 1)
#x.append(ssfm.disk_scrub_period)
x.append(i)
y.append(berfm.prob_of_bad_sector())
print "BER", i, berfm.prob_of_bad_sector()
dp.addDataSet(x,y,"BER Model")
x = []
y = []
for i in range(low_scrub, high_scrub, scrub_incr):
nsfm = NoScrubSectorFailModel(num_sectors_per_disk, scrub_fraction*num_sectors_per_disk, i, sector_error_rate, writes_to_sector_per_hour, 1)
#x.append(ssfm.disk_scrub_period)
x.append(i)
y.append(nsfm.prob_of_bad_sector())
dp.addDataSet(x,y,"No Scrub Model")
pl = Plotting(dp, "graphs/sector_fail_write_%.1f.%.3f.pdf" % (num_tb_per_disk, scrub_fraction), "Comparison of Sector Failure Models \n for %.1f TB Disk (Region %d Perc.)" % (num_tb_per_disk, 100*scrub_fraction), "Scrub Interval (hours)", "Probability of Sector Failure", type=Plotting.YLOG, legend_loc=2)
pl.plot()
