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augmented_info_data/nuscenes_map_infos_train_newsplit.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9aeca50756cb36d8d5f278bc76def604e117637025bb9d2922c4727e97b85fa7
+size 372701031

augmented_info_data/nuscenes_map_infos_val_newsplit.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dd9e703907330aa81904c4c7450610a5d928a55209f1a0f1b31cfe1ca89328d4
+size 16080612

stage2_fusion_100x50/latest.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d238c0f6a646c52d1007575fac0292d05c031c2bb5178673eb47c60174dfa523
+size 695864675

stage2_fusion_100x50/latest_20260218_103911_eval_metrics.txt

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+2026-02-18 10:39:11,563 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'ckpts/resnet50_msra-5891d200.pth'}
+2026-02-18 10:39:11,632 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'}
+Name of parameter - Initialization information
+
+lateral_convs.0.conv.weight - torch.Size([256, 512, 1, 1]): 
+XavierInit: gain=1, distribution=uniform, bias=0 
+
+lateral_convs.0.bn.weight - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+lateral_convs.0.bn.bias - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): 
+XavierInit: gain=1, distribution=uniform, bias=0 
+
+lateral_convs.1.bn.weight - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+lateral_convs.1.bn.bias - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+lateral_convs.2.conv.weight - torch.Size([256, 2048, 1, 1]): 
+XavierInit: gain=1, distribution=uniform, bias=0 
+
+lateral_convs.2.bn.weight - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+lateral_convs.2.bn.bias - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): 
+XavierInit: gain=1, distribution=uniform, bias=0 
+
+fpn_convs.0.bn.weight - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+fpn_convs.0.bn.bias - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): 
+XavierInit: gain=1, distribution=uniform, bias=0 
+
+fpn_convs.1.bn.weight - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+fpn_convs.1.bn.bias - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): 
+XavierInit: gain=1, distribution=uniform, bias=0 
+
+fpn_convs.2.bn.weight - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+
+fpn_convs.2.bn.bias - torch.Size([256]): 
+The value is the same before and after calling `init_weights` of FPN  
+2026-02-18 10:58:58,336 - mmdet - INFO - 
++--------------+-----------+---------+--------+--------+--------+--------+
+|   category   | num_preds | num_gts | AP@1.0 | AP@1.5 | AP@2.0 |   AP   |
++--------------+-----------+---------+--------+--------+--------+--------+
+| ped_crossing |   68379   |  11844  | 0.7456 | 0.8302 | 0.8502 | 0.8087 |
+|   divider    |   272311  |  44037  | 0.2324 | 0.3366 | 0.4019 | 0.3236 |
+|   boundary   |   257410  |  21103  | 0.2759 | 0.4929 | 0.6018 | 0.4569 |
++--------------+-----------+---------+--------+--------+--------+--------+
+2026-02-18 10:58:58,336 - mmdet - INFO - mAP_normal = 0.5297
+

stage2_fusion_60x30/latest.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e2edbcc561536feaaa7247ef06946d187059ea836c257ae5f41e6ad28485bfaa
+size 695863459

stage2_fusion_60x30/latest_20260115_055244_eval_metrics.txt

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+2026-01-15 06:18:17,142 - mmdet - INFO - 
++--------------+-----------+---------+--------+--------+--------+--------+
+|   category   | num_preds | num_gts | AP@0.5 | AP@1.0 | AP@1.5 |   AP   |
++--------------+-----------+---------+--------+--------+--------+--------+
+| ped_crossing |   77059   |   8390  | 0.4967 | 0.8366 | 0.8779 | 0.7371 |
+|   divider    |   266144  |  29036  | 0.2031 | 0.3892 | 0.4661 | 0.3528 |
+|   boundary   |   254897  |  19295  | 0.2594 | 0.6199 | 0.7771 | 0.5521 |
++--------------+-----------+---------+--------+--------+--------+--------+
+2026-01-15 06:18:17,143 - mmdet - INFO - mAP_normal = 0.5473
+