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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: 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:

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