ShuffleNetV2_x1_0

Description

ShuffleNet V2_x1_0 is an efficient convolutional neural network (CNN) architecture that emphasizes a balance between computational efficiency and accuracy, particularly suited for deployment on mobile and embedded devices. The model refines the ShuffleNet series by introducing structural innovations that enhance feature reuse and reduce redundancy, all while maintaining simplicity and performance.

Setup

Install

pip3 install onnx
pip3 install tqdm

Download

Pretrained model: https://download.pytorch.org/models/shufflenetv2_x1-5666bf0f80.pth

Dataset: https://www.image-net.org/download.php to download the validation dataset.

Model Conversion

python3 export.py --weight shufflenetv2_x1-5666bf0f80.pth --output shufflenetv2_x1_0.onnx

Inference

export DATASETS_DIR=/Path/to/imagenet_val/

FP16

# Accuracy
bash scripts/infer_shufflenetv2_x1_0_fp16_accuracy.sh
# Performance
bash scripts/infer_shufflenetv2_x1_0_fp16_performance.sh

Results