BEVFormer
Transform temporal multi‑view images into a unified bird's eye scene.
Bevformer is a SOTA model of interest to the Auto BU.
Not supported
This model is currently not supported on any Compute chipset.
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View for other chipsetsTechnical Details
Input preprocessing:Images must be ImageNet mean/std normalized before inference; the model does not normalize internally.
Input resolution:6 x 3 x 480 x 800
Model checkpoint:bevformer_tiny_deformable_optimized_exp_86_epoch_24.pth
Model size:120 MB
Number of parameters:27M
Applicable Scenarios
- Object Detection
License
Model:APACHE-2.0
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
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