RK182X-CNN-MobileNetV2

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1. Model Overview

This repository provides an RKNN CNN model converted from onnx/models.

• Model ID: RKNNAI/RK182X-CNN-MobileNetV2
• Model Display Name: RK182X-CNN-MobileNetV2
• RKNN Runtime Version: v1.1.0
• Source Model: onnx/models
• Model Type: CNN
• Chip Label: RK182X
• Supported Chips: RK1820, RK1828

Available Models

RKNN Runtime Version	Configuration Directory	Supported Chips	Resolution	Quantization	NPU Cores
v1.1.0	MobileNetV2-224x224-w8a8-1	RK1820, RK1828	224x224	w8a8	1

2. Files

File or Directory	Description
LICENSE	Source model license
NOTICE	License, usage requirements, and attribution
<configuration-directory>/	Matching model files
Subdirectory README.md	Configuration documentation (English)
Subdirectory README_CN.md	Configuration documentation (Chinese)
Subdirectory config.json	Model configuration and file manifest
Subdirectory SHA256SUMS	SHA-256 checksums of the files in this directory (excluding this file)

3. Download

Download the full repository from ModelScope:

modelscope download --model RKNNAI/RK182X-CNN-MobileNetV2 --revision v1.1.0 --local_dir ./RK182X-CNN-MobileNetV2

Download the full repository from Hugging Face:

hf download RKNNAI/RK182X-CNN-MobileNetV2 --revision v1.1.0 --local-dir ./RK182X-CNN-MobileNetV2

Download a specific configuration from ModelScope:

from modelscope import snapshot_download

snapshot_download(
    "RKNNAI/RK182X-CNN-MobileNetV2",
    revision="v1.1.0",
    allow_patterns=["README.md", "README_CN.md", "LICENSE", "NOTICE", "MobileNetV2-224x224-w8a8-1/**"],
    local_dir="./RK182X-CNN-MobileNetV2",
)

Download a specific configuration from Hugging Face:

hf download RKNNAI/RK182X-CNN-MobileNetV2 --revision v1.1.0 --include "README.md" "README_CN.md" "LICENSE" "NOTICE" "MobileNetV2-224x224-w8a8-1/**" --local-dir ./RK182X-CNN-MobileNetV2

4. SHA-256 Verification

Run in the configuration directory:

cd ./RK182X-CNN-MobileNetV2/MobileNetV2-224x224-w8a8-1
sha256sum -c SHA256SUMS

Deploy only after all entries show OK.

5. Compatibility and Limitations

• Supported Chips: RK1820, RK1828.
• Use the matching RKNN Runtime and driver. Check the device-side version with rknn-smi -v before running.
• Use the files from the selected configuration directory together.

6. Copyright and License

• Source model license: Apache License 2.0, See LICENSE for the full text and NOTICE for attribution and conversion details.
• The artifacts in this repository are RKNN-converted derivatives of the source model and remain subject to its license and usage restrictions.
• The applicable RKNN Toolkit and RKNN Runtime licenses also apply; runtime libraries are not included in this repository.