def eval_frame(self, frame_id, trk_tlwhs, trk_ids, rtn_events=False):
# results
trk_tlwhs = np.copy(trk_tlwhs)
trk_ids = np.copy(trk_ids)
# gts
gt_objs = self.gt_frame_dict.get(frame_id, [])
gt_tlwhs, gt_ids = unzip_objs(gt_objs)[:2]
# ignore boxes
ignore_objs = self.gt_ignore_frame_dict.get(frame_id, [])
ignore_tlwhs = unzip_objs(ignore_objs)[0]
# remove ignored results
keep = np.ones(len(trk_tlwhs), dtype=bool)
iou_distance = mm.distances.iou_matrix(ignore_tlwhs,
trk_tlwhs,
max_iou=0.5)
if len(iou_distance) > 0:
match_is, match_js = mm.lap.linear_sum_assignment(iou_distance)
match_is, match_js = map(lambda a: np.asarray(a, dtype=int),
[match_is, match_js])
match_ious = iou_distance[match_is, match_js]
match_js = np.asarray(match_js, dtype=int)
match_js = match_js[np.logical_not(np.isnan(match_ious))]
keep[match_js] = False
trk_tlwhs = trk_tlwhs[keep]
trk_ids = trk_ids[keep]
# get distance matrix
iou_distance = mm.distances.iou_matrix(gt_tlwhs,
trk_tlwhs,
max_iou=0.5)
# acc
self.acc.update(gt_ids, trk_ids, iou_distance)
if rtn_events and iou_distance.size > 0 and hasattr(
self.acc, 'last_mot_events'):
events = self.acc.last_mot_events # only supported by https://github.com/longcw/py-motmetrics
else:
events = None
return events
def eval_file(self, filename):
self.reset_accumulator()
result_frame_dict = read_results(filename, self.data_type, is_gt=False)
frames = sorted(list(set(self.gt_frame_dict.keys()) | set(result_frame_dict.keys())))
for frame_id in frames:
trk_objs = result_frame_dict.get(frame_id, [])
trk_tlwhs, trk_ids = unzip_objs(trk_objs)[:2]
self.eval_frame(frame_id, trk_tlwhs, trk_ids, rtn_events=False)
return self.acc
def __getitem__(self, i):
im_name = os.path.join(self.im_root, self.im_names[i])
# im = cv2.imread(im_name)
im = imread(im_name) # rgb
im = im[:, :, ::-1] # bgr
frame = i + 1
dets = self.dets.get(frame, [])
tlwhs, _, scores = unzip_objs(dets)
scores = np.asarray(scores)
keep = (tlwhs[:, 3] >= self.min_height) & (scores > self.min_det_score)
tlwhs = tlwhs[keep]
scores = scores[keep]
if self.gts is not None:
gts = self.gts.get(frame, [])
gt_tlwhs, gt_ids, _ = unzip_objs(gts)
else:
gt_tlwhs, gt_ids = None, None
return im, tlwhs, scores, gt_tlwhs, gt_ids
