| # Caffe MobileNet V2 | |
| ## Model Source | |
| The model used in this example come from the following open source projects: | |
| https://github.com/shicai/MobileNet-Caffe | |
| ## Script Usage | |
| *Usage:* | |
| ``` | |
| python test.py | |
| ``` | |
| *rknn_convert usage:* | |
| ``` | |
| python3 -m rknn.api.rknn_convert -t rk3566 -i ./model_config.yml -o ./ | |
| ``` | |
| *Description:* | |
| - The default target platform in script is 'rk3566', please modify the 'target_platform' parameter of 'rknn.config' according to the actual platform. | |
| - If connecting board is required, please add the 'target' parameter in 'rknn.init_runtime'. | |
| ## Expected Results | |
| This example will print the TOP5 labels and corresponding scores of the test image classification results, as follows: | |
| ``` | |
| -----TOP 5----- | |
| [155] score:0.994629 class:"Shih-Tzu" | |
| [154] score:0.001950 class:"Pekinese, Pekingese, Peke" | |
| [204] score:0.001950 class:"Lhasa, Lhasa apso" | |
| [283] score:0.000674 class:"Persian cat" | |
| [196] score:0.000109 class:"miniature schnauzer" | |
| ``` | |
| - Note: Different platforms, different versions of tools and drivers may have slightly different results. |