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: 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”).

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: 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

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