 bevfusion
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fcf3ae0ea9
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Complete project state snapshot: Phase 4B RMT-PPAD Integration
🎯 Training Status:
- Current Epoch: 2/10 (13.3% complete)
- Segmentation Dice: 0.9594
- Detection IoU: 0.5742
- Training stable with 8 GPUs
🔧 Technical Achievements:
- ✅ RMT-PPAD Transformer segmentation decoder integrated
- ✅ Task-specific GCA architecture optimized
- ✅ Multi-scale feature fusion (180×180, 360×360, 600×600)
- ✅ Adaptive scale weight learning implemented
- ✅ BEVFusion multi-task framework enhanced
📊 Performance Highlights:
- Divider segmentation: 0.9793 Dice (excellent)
- Pedestrian crossing: 0.9812 Dice (excellent)
- Stop line: 0.9812 Dice (excellent)
- Carpark area: 0.9802 Dice (excellent)
- Walkway: 0.9401 Dice (good)
- Drivable area: 0.8959 Dice (good)
🛠️ Code Changes Included:
- Enhanced BEVFusion model (bevfusion.py)
- RMT-PPAD integration modules (rmtppad_integration.py)
- Transformer segmentation head (enhanced_transformer.py)
- GCA module optimizations (gca.py)
- Configuration updates (Phase 4B configs)
- Training scripts and automation tools
- Comprehensive documentation and analysis reports
📅 Snapshot Date: Fri Nov 14 09:06:09 UTC 2025
📍 Environment: Docker container
🎯 Phase: RMT-PPAD Integration Complete
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2025-11-14 09:06:09 +00:00 |
Zhijian Liu
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5d70fdf579
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Update download_pretrained.sh
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2024-03-28 20:41:58 -04:00 |
Kevin Shao
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d0152cf97c
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Add BEVFusion-R (#443)
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2023-07-07 22:53:36 -04:00 |
Haotian (Ken) Tang
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f39a4a0752
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Add training details (#150)
* [Major] Update training details.
* [Minor] Update README.md.
* [Minor] Remove comment.
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2022-09-26 18:24:38 -04:00 |
kevin
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00722ce2f8
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[debug] fix bug for create data
[debug] fix bug for create data
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2022-09-02 15:26:29 +08:00 |
JoeyforJoy
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ae7f54a3e5
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[debug] fix bug for benchmark
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2022-07-12 12:05:47 +08:00 |
Haotian Tang
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6bce86a53c
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[Minor] Fix some bugs.
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2022-06-09 15:29:52 +00:00 |
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Haotian Tang
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da93b27d0f
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[Major] Code release.
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2022-06-03 04:21:18 +00:00 |