1 OpenVINO转换caffe模型步骤
进入目录
C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer
python mo_caffe.py -h
参数如下：
–input_proto：prototxt文件所在位置
-k：CustomLayersMapping.xml文件所在位置
–input_mode：
–mean_file：
–mean_file_offsets：
–output_dir
–scale SCALE
–log_level {CRITICAL,ERROR,WARN,WARNING,INFO,DEBUG,NOTSET}]
–input
–mean_values
–data_type {FP16,FP32,half,float}] [–disable_fusing]
–disable_resnet_optimization
–finegrain_fusing
–enable_concat_optimization
–extensions
–silent
–freeze_placeholder_with_value
–generate_deprecated_IR_V2
–mean_file_offsets
–disable_omitting_optional
–enable_flattening_nested_params
2 OpenVINO支持的caffe模型
2-1 Classification models:
- AlexNet
- VGG-16, VGG-19
- SqueezeNet v1.0, SqueezeNet v1.1
- ResNet-50, ResNet-101, Res-Net-152
- Inception v1, Inception v2, Inception v3, Inception v4
- CaffeNet
- MobileNet
- Squeeze-and-Excitation Networks: SE-BN-Inception, SE-Resnet-101, SE-ResNet-152, SE-ResNet-50, SE-ResNeXt-101, SE-ResNeXt-50
- ShuffleNet v2
2-2 Object detection models:
- SSD300-VGG16, SSD500-VGG16
- Faster-RCNN
- RefineDet (Myriad plugin only)
2-3 Face detection models:
- VGG Face
2-4 Semantic segmentation models:
- FCN8
3 OpenVINO支持的caffe层与其在Intermediate Representation (IR)中的对应关系
NUMBER | LAYER NAME IN CAFFE* | LAYER NAME IN THE INTERMEDIATE REPRESENTATION |
1 | Input | Input |
2 | GlobalInput | Input |
3 | InnerProduct | FullyConnected |
4 | Dropout | Ignored, does not appear in IR |
5 | Convolution | Convolution |
6 | Deconvolution | Deconvolution |
7 | Pooling | Pooling |
8 | BatchNorm | BatchNormalization |
9 | LRN | Norm |
10 | Power | Power |
11 | ReLU | ReLU |
12 | Scale | ScaleShift |
13 | Concat | Concat |
14 | Eltwise | Eltwise |
15 | Flatten | Flatten |
16 | Reshape | Reshape |
17 | Slice | Slice |
18 | Softmax | SoftMax |
19 | Permute | Permute |
20 | ROIPooling | ROIPooling |
21 | Tile | Tile |
22 | ShuffleChannel | Reshape + Split + Permute + Concat |
23 | Axpy | ScaleShift + Eltwise |
24 | BN | ScaleShift |
25 | DetectionOutput | DetectionOutput |
26 | StridedSlice | StridedSlice |
27 | Bias | Eltwise(operation = sum) |
参考资料：
1 Converting a Caffe* Model
2 Supported Framework Layers
