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mmdeploy/docs/backends/openvino.md
Semyon Bevzyuk c599ed5904
[Enhancement]: Support YOLOX from MMDetection for OpenVINO and ONNX Runtime. (#190) 
* Add get_bboxes_of_yolox_head.

* Add test_yolox_head_get_bboxes.

* Update docs.
2021-11-12 10:39:42 +08:00

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OpenVINO Support

This tutorial is based on Linux systems like Ubuntu-18.04.

Installation

  1. Install OpenVINO.
  2. Install MMDeploy following the instructions.

Usage

Example:

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.

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

Notes:

  • For faster work in OpenVINO in the Faster-RCNN, Mask-RCNN, Cascade-RCNN, Cascade-Mask-RCNN models the RoiAlign operation is replaced with the ExperimentalDetectronROIFeatureExtractor operation in the ONNX graph.