def collect_ssim(video_acked_results, postgres_cursor):
# process InfluxDB data
x = {}
for pt in video_acked_results['video_acked']:
expt_id = int(pt['expt_id'])
expt_config = retrieve_expt_config(expt_id, expt_id_cache,
postgres_cursor)
# index x by (abr, cc)
abr_cc = (expt_config['abr'], expt_config['cc'])
if abr_cc not in x:
x[abr_cc] = []
if pt['ssim_index'] is not None:
ssim_index = float(pt['ssim_index'])
x[abr_cc].append(ssim_index)
# calculate average SSIM in dB and record number of chunks
ssim = {}
num_chunks = {}
for abr_cc in x:
num_chunks[abr_cc] = len(x[abr_cc])
avg_ssim_index = np.mean(x[abr_cc])
avg_ssim_db = ssim_index_to_db(avg_ssim_index)
ssim[abr_cc] = avg_ssim_db
return ssim, num_chunks
def collect_ssim():
d = {} # key: abr_cc; value: [sum, count]
for s_str, e_str in datetime_iter(args.start_time, args.end_time):
do_collect_ssim(s_str, e_str, d)
# calculate average SSIM in dB
for abr_cc in d:
if d[abr_cc][1] == 0:
sys.stderr.write('Warning: {} does not have SSIM data\n'
.format(abr_cc))
continue
avg_ssim_index = d[abr_cc][0] / d[abr_cc][1]
avg_ssim_db = ssim_index_to_db(avg_ssim_index)
d[abr_cc] = avg_ssim_db
return d
def do_collect_ssim(video_acked_results, expt_id_cache, postgres_cursor):
# process InfluxDB data
x = {}
for pt in video_acked_results['video_acked']:
expt_id = get_expt_id(pt)
expt_config = retrieve_expt_config(expt_id, expt_id_cache,
postgres_cursor)
abr_cc = get_abr_cc(expt_config)
if abr_cc not in x:
x[abr_cc] = []
ssim_index = get_ssim_index(pt)
if ssim_index is not None:
x[abr_cc].append(ssim_index)
# calculate average SSIM in dB
for abr_cc in x:
avg_ssim_index = np.mean(x[abr_cc])
avg_ssim_db = ssim_index_to_db(avg_ssim_index)
x[abr_cc] = avg_ssim_db
return x
def collect_ssim(video_acked_results, postgres_cursor):
# process InfluxDB data
x = {}
for pt in video_acked_results['video_acked']:
expt_id = int(pt['expt_id'])
expt_config = retrieve_expt_config(expt_id, expt_id_cache,
postgres_cursor)
# index x by (abr, cc)
abr_cc = (expt_config['abr'], expt_config['cc'])
if abr_cc not in x:
x[abr_cc] = []
ssim_index = get_ssim_index(pt)
if ssim_index is not None:
x[abr_cc].append(ssim_index)
# calculate average SSIM in dB
ssim = {}
for abr_cc in x:
avg_ssim_index = np.mean(x[abr_cc])
avg_ssim_db = ssim_index_to_db(avg_ssim_index)
ssim[abr_cc] = avg_ssim_db
return ssim