weld-porosity-detection-0001¶

Use Case and High-Level Description¶

This is a porosity weld recognition model. It runs on a video stream capturing welding tip and reports whether no welding is happening, produced weld is good or weld is porous.

Example¶

_images/weld-porosity-detection-0001.png

Specification¶

Metric	Value
Clip classification accuracy	97.14% (internal test set)
Temporal smoothing window size	16
GFlops	3.636
MParams	11.173
Source framework	PyTorch*

Inputs¶

Image, name: image, shape: 1, 3, 224, 224 in the format B, C, H, W, where:

B - batch size
C - number of channels
H - image height
W - image width

Expected color order is BGR.

Outputs¶

The features is a blob with the shape 1, 3 containing logits for three output classes (“no weld”, “normal weld” and “porosity”).

Demo usage¶

The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:

Action Recognition Python\* Demo

Legal Information¶

[*] Other names and brands may be claimed as the property of others.