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Modified Yolov4 structure to directly infer BEV position of objects

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Apache-2.0 license
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MattiaMolon/pytorch-YOLOv4

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DeepStream

DeepStream

 
 

cfg

cfg

 
 

checkpoints

checkpoints

 
 

names

names

 
 

tool

tool

 
 

.gitignore

.gitignore

 
 

License.txt

License.txt

 
 

README.md

README.md

 
 

dataset.py

dataset.py

 
 

demo_yolov4.py

demo_yolov4.py

 
 

demo_yolov4_BEV_flat.py

demo_yolov4_BEV_flat.py

 
 

demo_yolov4_BEV_grid.py

demo_yolov4_BEV_grid.py

 
 

evaluate_on_coco.py

evaluate_on_coco.py

 
 

models.py

models.py

 
 

requirements.txt

requirements.txt

 
 

train.py

train.py

 
 

train_BEV_flat.py

train_BEV_flat.py

 
 

train_BEV_grid.py

train_BEV_grid.py

 
 

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Pytorch-YOLOv4_BEV

Common

  • rIoU and rgIoU implementation
  • NMS implementation
  • Understand structure

Yolov4_BEV_grid

  • Build structure
  • Implement forward pass
  • Training loop
  • Loss implementation
  • BEV visualization integration

Yolov4_BEV_flat

  • Build structure
  • Implement forward pass
  • Training loop
  • Loss implementation
  • BEV visualization integration

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Modified Yolov4 structure to directly infer BEV position of objects

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  • Python 78.2%
  • C++ 20.3%
  • Other 1.5%