Object detection demo
This is a small demo of object detection via the Python client.
It uses a pre-trained VOC0712 model to detect 21 different classes of objects in images. A bounding box is returned for every detected object, along with its class and a confidence.
To run the code on your own image:
- Install the pre-trained model:
mkdir model cd model wget https://deepdetect.com/models/voc0712_dd.tar.gz tar xvzf voc0712_dd.tar.gz cd ..
- Start a DeepDetect server:
- Try object detection on an image
python objdetect.py --image /path/to/yourimage.jpg --confidence-threshold 0.1
The VOC0712 model originates from https://github.com/weiliu89/caffe/tree/ssd and may not be very accurate on standard pictures
You can predict over batches of images with only slight modifications of the Python code of this demo