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Yufei 33f49cf1f2 register vitpose-b/l/h for coco 3 years ago
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README.md register vitpose-b/l/h for coco 3 years ago
background.py register vitpose-b/l/h for coco 3 years ago

README.md

Matting Effects

We can apply background matting to the videos.

Instruction

Get started

Launch the demo from the mmpose root directory:

python tools/webcam/run_webcam.py --config tools/webcam/configs/background/background.py

Hotkeys

Hotkey Function
b Toggle the background matting effect on/off.
h Show help information.
m Show the monitoring information.
q Exit.

Note that the demo will automatically save the output video into a file record.mp4.

Configuration

  • Choose a detection model

Users can choose detection models from the MMDetection Model Zoo. Just set the model_config and model_checkpoint in the detector node accordingly, and the model will be automatically downloaded and loaded. Note that in order to perform background matting, the model should be able to produce segmentation masks.

# 'DetectorNode':
# This node performs object detection from the frame image using an
# MMDetection model.
dict(
    type='DetectorNode',
    name='Detector',
    model_config='demo/mmdetection_cfg/mask_rcnn_r50_fpn_2x_coco.py',
    model_checkpoint='https://download.openmmlab.com/'
    'mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_2x_coco/'
    'mask_rcnn_r50_fpn_2x_coco_bbox_mAP-0.392'
    '__segm_mAP-0.354_20200505_003907-3e542a40.pth',
    input_buffer='_input_',  # `_input_` is a runner-reserved buffer
    output_buffer='det_result'),
  • Run the demo without GPU

If you don't have GPU and CUDA in your device, the demo can run with only CPU by setting device='cpu' in all model nodes. For example:

dict(
    type='DetectorNode',
    name='Detector',
    model_config='demo/mmdetection_cfg/mask_rcnn_r50_fpn_2x_coco.py',
    model_checkpoint='https://download.openmmlab.com/'
    'mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_2x_coco/'
    'mask_rcnn_r50_fpn_2x_coco_bbox_mAP-0.392'
    '__segm_mAP-0.354_20200505_003907-3e542a40.pth',
    device='cpu',
    input_buffer='_input_',  # `_input_` is a runner-reserved buffer
    output_buffer='det_result'),
  • Debug webcam and display

You can launch the webcam runner with a debug config:

python tools/webcam/run_webcam.py --config tools/webcam/configs/examples/test_camera.py