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 IoT chipset.

To see performance metrics for this model on other chipsets, click the button below.

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

Looking for more? See models created by industry leaders.