Model Assertions for object Detection networks.
To classify things off the webcam, run:
cd /src
python live.py --model path/to/model/directory --confidence 0.4
You need OpenCV, version 3.4 or greater. Easily installable via pip.
You'll have to provide models yourself, as the weight files are pretty big. Take a look at YOLO for a model and how to install it.
Models are stored in a directory containing a configuration file config.toml. Each configuration file has 3 entries, all of which are paths to files: name references the name file, which is a label index, cfg, which hosts the network configuration, and weights, which has the network weights. An example file for YOLO v3 is given below:
names="coco.names"
cfg="yolov3.cfg"
weights="yolov3.weights"This is a flat configuration, e.g. we expect coco.names to appear in the same directory, i.e.:
/models
+----/yolo
| +----config.toml
| +----coco.names
| +----yolov3.cfg
| +----yolov3.weights
+----/yolo-tiny
| +----config.toml
...
We're based on OpenCV, although we use YOLO as our object detection model.