def bootstrap_matching(ctx, n=100, filter=None, cb_post_match=None):
all_res = dict()
all_epochs = []
all_imgs = dict()
for i, file in enumerate(ctx.files):
img = ctx.open_file(file)
all_epochs.append(img.get_epoch())
res = ctx.detection(img, filter=filter)
all_res[img.get_epoch()] = res
all_imgs[img.get_epoch()] = img
t = time.time()
all_match_ratio = []
for i in range(n):
eta = ""
if i > 0:
remaining = (np.round((time.time() - t) / float(i) * (n - i)))
eta = " (ETA: %s)" % time.strftime("%H:%M:%S", time.localtime(time.time() + remaining))
print "Run %s / %s%s" % (i + 1, n, eta)
shuffled = nputils.permutation_no_succesive(all_epochs)
match_ratio_list = []
match_results = project.AnalysisResult(ctx.config)
for epoch1, epoch2 in nputils.pairwise(shuffled):
res1 = all_res[epoch1].copy()
res2 = all_res[epoch2].copy()
# print "Matching:", res1.get_epoch(), "vs", res2.get_epoch()
res1.epoch = epoch1
for segments in res1:
segments.epoch = epoch1
res2.epoch = epoch2
for segments in res2:
segments.epoch = epoch2
full_match_res = ctx.match(res1, res2, verbose=False)
match_results.add_match_result(full_match_res)
match_results.add_detection_result(all_imgs[epoch1], res1)
for match_res in full_match_res:
n_segments = match_res.segments1.size()
match_ratio = (match_res.get_match().size()) / (float(n_segments))
match_ratio_list.append(match_ratio)
all_match_ratio.append(np.mean(match_ratio_list))
if cb_post_match is not None:
cb_post_match(shuffled, match_results)
# print "Match ratio stat:", nputils.stat(match_ratio_list)
# print all_match_ratio
print "Match ratio stat:", nputils.stat(all_match_ratio)
def match_all(ctx, filter=None):
'''Run matching on all selected files
Parameters
----------
ctx : :class:`wise.project.AnalysisContext`
filter : :class:`wise.features.FeatureFilter`, optional
.. _tags: task_detection
'''
ctx.result = project.AnalysisResult(ctx.config)
prev_result = None
prev_img = None
match_ratio_list = []
for i, file in enumerate(ctx.files):
img = ctx.open_file(file)
res = ctx.detection(img, filter=filter)
result_copy = res.copy()
ctx.result.add_detection_result(img, result_copy)
if prev_result is not None:
print "Matching %s vs %s (%s / %s)" % (prev_img, img, i, len(ctx.files) - 1)
match_res = ctx.match(prev_result, res)
ctx.result.add_match_result(match_res)
for match_res_scale in match_res:
n_segments = match_res_scale.segments1.size()
match_ratio = (match_res_scale.get_match().size()) / (float(n_segments))
# print match_res_scale.get_match().size(), n_segments
match_ratio_list.append(match_ratio)
# print match_ratio_list
prev_result = result_copy
prev_img = img
print "Match ratio stat:", nputils.stat(match_ratio_list)
