| # MobileNets | |
| MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications | |
| MobileNetV2: Inverted Residuals and Linear Bottlenecks | |
| Results of accuracy evaluation with [tools/eval](../../tools/eval). | |
| | Models | Top-1 Accuracy | Top-5 Accuracy | | |
| | ------------------ | -------------- | -------------- | | |
| | MobileNet V1 | 67.64 | 87.97 | | |
| | MobileNet V1 quant | 55.53 | 78.74 | | |
| | MobileNet V2 | 69.44 | 89.23 | | |
| | MobileNet V2 quant | 68.37 | 88.56 | | |
| \*: 'quant' stands for 'quantized'. | |
| ## Demo | |
| Run the following command to try the demo: | |
| ```shell | |
| # MobileNet V1 | |
| python demo.py --input /path/to/image | |
| # MobileNet V2 | |
| python demo.py --input /path/to/image --model v2 | |
| # get help regarding various parameters | |
| python demo.py --help | |
| ``` | |
| ## License | |
| All files in this directory are licensed under [Apache 2.0 License](./LICENSE). | |
| ## Reference | |
| - MobileNet V1: https://arxiv.org/abs/1704.04861 | |
| - MobileNet V2: https://arxiv.org/abs/1801.04381 | |
| - MobileNet V1 weight and scripts for training: https://github.com/wjc852456/pytorch-mobilenet-v1 | |
| - MobileNet V2 weight: https://github.com/onnx/models/tree/main/vision/classification/mobilenet | |