add class variables
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@ -18,6 +18,7 @@ class KittiEval:
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- 3DOP
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- MonoDepth
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"""
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CLUSTERS = ('easy', 'moderate', 'hard', 'all', '6', '10', '15', '20', '25', '30', '40', '50', '>50')
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dic_stds = defaultdict(lambda: defaultdict(list))
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dic_stats = defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: defaultdict(float))))
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dic_cnt = defaultdict(int)
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@ -46,8 +47,6 @@ class KittiEval:
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assert os.path.exists(self.dir_m3d) and os.path.exists(self.dir_our) \
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and os.path.exists(self.dir_3dop)
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self.clusters = ['easy', 'moderate', 'hard', 'all', '6', '10', '15', '20', '25', '30', '40', '50', '>50']
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self.dic_thresh_iou = {'m3d': thresh_iou_m3d, '3dop': thresh_iou_m3d, 'md': thresh_iou_our, 'our': thresh_iou_our}
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self.dic_thresh_conf = {'m3d': thresh_conf_m3d, '3dop': thresh_conf_m3d, 'our': thresh_conf_our}
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@ -93,7 +92,7 @@ class KittiEval:
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# Update statistics of mean and max and uncertainty
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for key in self.errors:
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for clst in self.clusters[:-2]: # M3d and pifpaf does not have annotations above 40 meters
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for clst in self.CLUSTERS[:-2]: # M3d and pifpaf does not have annotations above 40 meters
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get_statistics(self.dic_stats['test'][key], self.errors[key][clst], clst, self.dic_stds, key)
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# Print statistics
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@ -111,7 +110,7 @@ class KittiEval:
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self.errors[key]['<1m'].extend(zeros)
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self.errors[key]['<2m'].extend(zeros)
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for clst in self.clusters[:-9]:
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for clst in self.CLUSTERS[:-9]:
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print(" {} Average error in cluster {}: {:.2f} with a max error of {:.1f}, "
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"for {} annotations"
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.format(key, clst, self.dic_stats['test'][key]['mean'][clst], self.dic_stats['test'][key]['max'][clst],
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@ -326,7 +325,7 @@ class KittiEval:
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"""Compute and save errors between a single box and the gt box which match"""
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diff = abs(dd - dd_gt)
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clst = find_cluster(dd_gt, self.clusters)
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clst = find_cluster(dd_gt, self.CLUSTERS)
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errors['all'].append(diff)
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errors[cat].append(diff)
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errors[clst].append(diff)
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@ -349,7 +348,7 @@ class KittiEval:
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def update_uncertainty(self, std_ale, std_epi, dd, dd_gt, cat):
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clst = find_cluster(dd_gt, self.clusters)
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clst = find_cluster(dd_gt, self.CLUSTERS)
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self.dic_stds['ale']['all'].append(std_ale)
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self.dic_stds['ale'][clst].append(std_ale)
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self.dic_stds['ale'][cat].append(std_ale)
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