def get_num_imgs_in_range(range, celldir, querydir='/home/zhangz/.gvfs/data on 128.32.43.40/query3/'):
queries = util.getSURFFileNames(querydir)
total_in_range=0
for querysurf in queries:
lat, lon = info.getQuerySURFCoord(querysurf)
cell, dist = util.getclosestcell(lat, lon, celldir)
numinrange = util.getNumJPGInRange(lat, lon, os.path.join(celldir,cell), range)
total_in_range+=numinrange
print "average # of imgs within {0} meters of query: {1}".format(range, float(total_in_range)/len(queries))
def characterize(querydir, dbdir, mainOutputDir, n, copytopmatch, params):
start = time.time()
if not os.path.exists(mainOutputDir):
os.makedirs(mainOutputDir)
if copytopmatch:
if os.path.exists(resultsdir):
shutil.rmtree(resultsdir)
os.makedirs(resultsdir)
files = util.getSURFFileNames(querydir)
g_count = 0
y_count = 0
r_count = 0
b_count = 0
o_count = 0
count = 0
for queryfile in files:
count += 1
[g, y, r, b, o] = query2(querydir, queryfile, dbdir, mainOutputDir, n,
copytopmatch, params)
if g:
g_count += 1
if verbosity > 0:
print "G match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(
g_count, y_count, r_count, b_count, o_count, count)
elif y:
y_count += 1
if verbosity > 0:
print "Y match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(
g_count, y_count, r_count, b_count, o_count, count)
elif r:
r_count += 1
if verbosity > 0:
print "R match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(
g_count, y_count, r_count, b_count, o_count, count)
elif b:
b_count += 1
if verbosity > 0:
print "B match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(
g_count, y_count, r_count, b_count, o_count, count)
elif o:
o_count += 1
if verbosity > 0:
print "O match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(
g_count, y_count, r_count, b_count, o_count, count)
else:
if verbosity > 0:
print "No match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(
g_count, y_count, r_count, b_count, o_count, count)
end = time.time()
elapsed = end - start
if verbosity > 0:
print "total time:{0}, avg time:{1}".format(elapsed, elapsed / count)
total_count = g_count + y_count + r_count + b_count + o_count
match_rate = float(total_count) / count
print "g:{0} y:{1} r:{2} b:{3} o:{4} = {5}, out of {6}={7}".format(
g_count, y_count, r_count, b_count, o_count, total_count, count,
match_rate)
def get_num_imgs_in_range(
range,
celldir,
querydir='/home/zhangz/.gvfs/data on 128.32.43.40/query3/'):
queries = util.getSURFFileNames(querydir)
total_in_range = 0
for querysurf in queries:
lat, lon = info.getQuerySURFCoord(querysurf)
cell, dist = util.getclosestcell(lat, lon, celldir)
numinrange = util.getNumJPGInRange(lat, lon,
os.path.join(celldir, cell), range)
total_in_range += numinrange
print "average # of imgs within {0} meters of query: {1}".format(
range,
float(total_in_range) / len(queries))
def characterize(querydir, dbdir, mainOutputDir, n, copytopmatch, params):
start = time.time()
if not os.path.exists(mainOutputDir):
os.makedirs(mainOutputDir)
if copytopmatch:
if os.path.exists(resultsdir):
shutil.rmtree(resultsdir)
os.makedirs(resultsdir)
files = util.getSURFFileNames(querydir)
g_count = 0
y_count = 0
r_count = 0
b_count = 0
o_count = 0
count = 0
for queryfile in files:
count += 1
[g, y, r, b, o] = query2(querydir, queryfile, dbdir, mainOutputDir, n, copytopmatch, params)
if g:
g_count += 1
if verbosity > 0:
print "G match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(g_count, y_count, r_count, b_count, o_count, count)
elif y:
y_count += 1
if verbosity > 0:
print "Y match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(g_count, y_count, r_count, b_count, o_count, count)
elif r:
r_count += 1
if verbosity > 0:
print "R match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(g_count, y_count, r_count, b_count, o_count, count)
elif b:
b_count += 1
if verbosity > 0:
print "B match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(g_count, y_count, r_count, b_count, o_count, count)
elif o:
o_count += 1
if verbosity > 0:
print "O match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(g_count, y_count, r_count, b_count, o_count, count)
else:
if verbosity > 0:
print "No match-g:{0} y:{1} r:{2} b:{3} o:{4} out of {5}".format(g_count, y_count, r_count, b_count, o_count, count)
end = time.time()
elapsed = end - start
if verbosity > 0:
print "total time:{0}, avg time:{1}".format(elapsed, elapsed / count)
total_count = g_count + y_count + r_count + b_count + o_count
match_rate = float(total_count) / count
print "g:{0} y:{1} r:{2} b:{3} o:{4} = {5}, out of {6}={7}".format(g_count, y_count, r_count, b_count, o_count, total_count, count, match_rate)