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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

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: input, 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”).

Legal Information

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

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