Renesas/EfficientNetV2-B0-ONNX

EfficientNetV2-B0 (ONNX) – Renesas X5H

Introduction

This repository hosts EfficientNetV2-B0 in ONNX FP32 format, targeting the Renesas R-Car X5H platform for image classification inference on the NPX6 NPU.

• Model Architecture: EfficientNetV2-B0 — a parameter-efficient convolutional neural network optimized for high accuracy and efficient inference.
• Source Framework: MMPreTrain (OpenMMLab)
• Export Format: ONNX FP32
• Graph Optimization: ONNX Optimizer
• Task: Image Classification (ImageNet ILSVRC2012, 1000 classes)
• Parameters: ~7.1 M

### Deployment Flow

```text
EfficientNetV2-B0 (MMPreTrain)
            │
            ▼
       ONNX Export
            │
            ▼
      ONNX Optimizer
            │
            ▼
efficientnetv2-b0_3rdparty_in1k_sim_opt.onnx (FP32)
            │
            ├─▶ ONNX Runtime (Custom NPU EP) ─▶ INT8 auto-cast ─▶ NPX6 NPU
            │
            └─▶ MWMX Runtime                 ─▶ INT8 auto-cast ─▶ NPX6 NPU

Provided Artifacts

| Artifact | Status | Notes |
|:---------:|:------:|--------|
| **FP32 ONNX** | ✅ Provided | Exported from MMPreTrain and optimized using ONNX Optimizer |

Runtime Details

### ONNX Model

- **Training Framework:** MMPreTrain (OpenMMLab)
- **Export Format:** ONNX FP32
- **Graph Optimizations:** ONNX Optimizer passes applied
- **Input Resolution:** 224 × 224
- **Output:** 1000 ImageNet classes

Download

huggingface-cli download Renesas/EfficientNetV2-B0-ONNX fp32/efficientnetv2_b0.onnx