This commit is contained in:
Jia Guo
2021-07-09 16:03:32 +08:00
2 changed files with 40 additions and 1 deletions

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@@ -11,6 +11,8 @@ For all main contributors, please check [contributing](#contributing).
## Top News
**`2021-07-09`**: We add a [person_detection](examples/person_detection) example, trained by [SCRFD](detection/scrfd), which can be called directly by our [python-library](python-package).
**`2021-06-05`**: We launch a [Masked Face Recognition Challenge & Workshop](challenges/iccv21-mfr) on ICCV 2021.
**`2021-05-15`**: We released an efficient high accuracy face detection approach called [SCRFD](detection/scrfd).

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# Person Detection Powered by SCRFD
# Person Detection
This person detection example is built by [SCRFD](../../detection/scrfd) approch.
## Usage
Firstly install insightface python library:
```
pip install -U insightface
```
and then load our person detection model by:
```
detector = insightface.model_zoo.get_model('scrfd_person_2.5g.onnx', download=True)
detector.prepare(0, nms_thresh=0.5, input_size=(640, 640))
```
the model will be auto-downloaded from our storage server.
## Detection Result:
In this example, we support full-body detection and recognize the corresponding visible region in a single forward pass.
Please see [scrfd_person.py](scrfd_person.py) for detail on how to visualize the results.
The green bounding box shows the full-body while the blue mask indicates the visible region.
(We make tests on the input size of 640)
<img src="https://github.com/nttstar/insightface-resources/blob/master/images/283554,c2d0000d40862ba.jpg" width="640" />
<img src="https://github.com/nttstar/insightface-resources/blob/master/images/283647,18e170005675c161.jpg" width="640" />
<img src="https://github.com/nttstar/insightface-resources/blob/master/images/283554,2290700005b7d575.jpg" width="640" />
<img src="https://github.com/nttstar/insightface-resources/blob/master/images/283554,175820000e7255da.jpg" width="640" />