2021-10-21 16:07:35 +08:00
## OpenVINO Support
This tutorial is based on Linux systems like Ubuntu-18.04.
### Installation
1. Install [OpenVINO ](https://docs.openvinotoolkit.org/latest/installation_guides.html ).
2021-11-12 10:39:42 +08:00
2. Install MMDeploy following the [instructions ](../build.md ).
2021-10-21 16:07:35 +08:00
### Usage
Example:
```bash
python tools/deploy.py \
configs/mmdet/single-stage/single-stage_openvino_dynamic.py \
/mmdetection_dir/mmdetection/configs/ssd/ssd300_coco.py \
/tmp/snapshots/ssd300_coco_20210803_015428-d231a06e.pth \
tests/data/tiger.jpeg \
--work-dir ../deploy_result \
--device cpu \
--log-level INFO \
```
### List of supported models exportable to OpenVINO from MMDetection
The table below lists the models that are guaranteed to be exportable to OpenVINO from MMDetection.
2021-11-12 10:39:42 +08:00
| Model name | Config | Dynamic Shape |
| :----------------: | :-----------------------------------------------------------------------: | :-----------: |
| ATSS | `configs/atss/atss_r50_fpn_1x_coco.py` | Y |
| Cascade Mask R-CNN | `configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py` | Y |
| Cascade R-CNN | `configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py` | Y |
| Faster R-CNN | `configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py` | Y |
| FCOS | `configs/fcos/fcos_x101_64x4d_fpn_gn-head_mstrain_640-800_4x2_2x_coco.py` | Y |
| FoveaBox | `configs/foveabox/fovea_r50_fpn_4x4_1x_coco.py ` | Y |
| FSAF | `configs/fsaf/fsaf_r50_fpn_1x_coco.py` | Y |
| Mask R-CNN | `configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py` | Y |
| RetinaNet | `configs/retinanet/retinanet_r50_fpn_1x_coco.py` | Y |
| SSD | `configs/ssd/ssd300_coco.py` | Y |
| YOLOv3 | `configs/yolo/yolov3_d53_mstrain-608_273e_coco.py` | Y |
| YOLOX | `configs/yolox/yolox_tiny_8x8_300e_coco.py` | Y |
2021-10-21 16:07:35 +08:00
Notes:
2021-11-03 10:27:48 +08:00
- For faster work in OpenVINO in the Faster-RCNN, Mask-RCNN, Cascade-RCNN, Cascade-Mask-RCNN models
2021-10-21 16:07:35 +08:00
the RoiAlign operation is replaced with the [ExperimentalDetectronROIFeatureExtractor ](https://docs.openvinotoolkit.org/latest/openvino_docs_ops_detection_ExperimentalDetectronROIFeatureExtractor_6.html ) operation in the ONNX graph.