remove psm
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@ -34,7 +34,6 @@ class KittiEval:
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self.dir_m3d = os.path.join('data', 'kitti', 'm3d')
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self.dir_3dop = os.path.join('data', 'kitti', '3dop')
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self.dir_md = os.path.join('data', 'kitti', 'monodepth')
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self.dir_psm = os.path.join('data', 'kitti', 'psm')
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self.dir_our = os.path.join('data', 'kitti', 'monoloco')
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path_val = os.path.join('splits', 'kitti_val.txt')
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dir_logs = os.path.join('data', 'logs')
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@ -49,8 +48,7 @@ class KittiEval:
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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,
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'psm': thresh_iou_our, 'our': thresh_iou_our}
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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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self.dic_cnt = defaultdict(int)
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@ -82,7 +80,6 @@ class KittiEval:
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path_our = os.path.join(self.dir_our, name)
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path_3dop = os.path.join(self.dir_3dop, name)
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path_md = os.path.join(self.dir_md, name)
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path_psm = os.path.join(self.dir_psm, name)
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boxes_gt = []
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truncs_gt = [] # Float from 0 to 1
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occs_gt = [] # Either 0,1,2,3 fully visible, partly occluded, largely occluded, unknown
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@ -105,25 +102,20 @@ class KittiEval:
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boxes_m3d, dds_m3d = self.parse_txts(path_m3d, method='m3d')
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boxes_3dop, dds_3dop = self.parse_txts(path_3dop, method='3dop')
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boxes_md, dds_md = self.parse_txts(path_md, method='md')
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boxes_psm, dds_psm = self.parse_txts(path_psm, method='psm')
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boxes_our, dds_our, stds_ale, stds_epi, kk_list, dds_geom, xyzs, xy_kps = \
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self.parse_txts(path_our, method='our')
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if len(boxes_our) > 0 and len(boxes_psm) == 0:
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aa = 5
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# Compute the error with ground truth
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self.estimate_error_base(boxes_m3d, dds_m3d, boxes_gt, dds_gt, truncs_gt, occs_gt, method='m3d')
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self.estimate_error_base(boxes_3dop, dds_3dop, boxes_gt, dds_gt, truncs_gt, occs_gt, method='3dop')
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self.estimate_error_base(boxes_md, dds_md, boxes_gt, dds_gt, truncs_gt, occs_gt, method='md')
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self.estimate_error_base(boxes_psm, dds_psm, boxes_gt, dds_gt, truncs_gt, occs_gt, method='psm')
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self.estimate_error_our(boxes_our, dds_our, stds_ale, stds_epi, kk_list, dds_geom, xyzs, xy_kps,
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boxes_gt, dds_gt, truncs_gt, occs_gt, dic_fin, name)
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# Iterate over all the files together to find a pool of common annotations
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self.compare_error(boxes_m3d, dds_m3d, boxes_3dop, dds_3dop, boxes_md, dds_md, boxes_our, dds_our,
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boxes_psm, dds_psm, boxes_gt, dds_gt, truncs_gt, occs_gt, dds_geom)
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boxes_gt, dds_gt, truncs_gt, occs_gt, dds_geom)
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# Save statistics
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for key in self.errors:
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