small fix
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2222d12e20
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bf8fbf5234
@ -140,6 +140,7 @@ class PreprocessNuscenes:
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boxes_3d.append(box_3d)
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self.dic_names[name]['boxes'].append(box)
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self.dic_names[name]['dds'].append(dd)
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self.dic_names[name]['K'] = kk.tolist()
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# Run IoU with pifpaf detections and save
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path_pif = os.path.join(self.dir_ann, name + '.pifpaf.json')
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@ -156,15 +157,13 @@ class PreprocessNuscenes:
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idx_max, iou_max = self.get_idx_max(box, boxes_gt)
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if iou_max > self.iou_min:
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try:
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self.dic_jo[phase]['kps'].append(uv_kps[ii])
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except TypeError:
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aa = 4
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self.dic_jo[phase]['kps'].append(uv_kps[ii])
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self.dic_jo[phase]['X'].append(inputs[ii])
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self.dic_jo[phase]['Y'].append([dds[idx_max]]) # Trick to make it (nn,1)
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self.dic_jo[phase]['names'].append(name) # One image name for each annotation
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self.dic_jo[phase]['boxes_3d'].append(boxes_3d[idx_max])
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self.dic_jo[phase]['K'].append(kk.tolist())
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self.dic_jo[phase]['K'] = kk.tolist()
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self.append_cluster(self.dic_jo, phase, inputs[ii], dds[idx_max], uv_kps[ii])
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boxes_gt.pop(idx_max)
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dds.pop(idx_max)
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