Serverless Yolo v6 Object Detection with Daisies

How to Call

First, we simply load the PyDaisi and supporting packages:

import pydaisi as pyd
from PIL import Image

Next, we connect to the Daisi:

yolo_object_detection = pyd.Daisi("erichare/YOLO v6 Object Detection")

Now, let's use this image of a busy street:

We simply load the Image and pass it to the Daisi:

img = Image.open("busystreet.png")
img.load()

yolo_result, labels_df = yolo_object_detection.yolo(img, return_type=["Image", "Labels"]).value
# Or, labels_df = yolo_object_detection.yolo(img, return_type=["Labels"]).value

And finally, let's render the result!

yolo_result.show()

Running the Streamlit App

Or, we can automate everything by just Running the Streamlit App

References

• YOLOv6 Code: YOLOv6 Code from meituan
• YOLOv6 Blog: Blog from DagsHub
• YOLOv6 NCNN Android app demo: ncnn-android-yolov6 from FeiGeChuanShu
• YOLOv6 ONNXRuntime/MNN/TNN C++: YOLOv6-ORT, YOLOv6-MNN and YOLOv6-TNN from DefTruth
• YOLOv6 TensorRT Python: yolov6-tensorrt-python from Linaom1214
• YOLOv6 TensorRT Windows C++: yolort from Wei Zeng