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.
Metric | Value |
---|---|
Clip classification accuracy | 97.14% (internal test set) |
Temporal smoothing window size | 16 |
GFlops | 3.636 |
MParams | 11.173 |
Source framework | PyTorch* |
Image, name: input
, shape: 1, 3, 224, 224
in the format B, C, H, W
, where:
B
- batch sizeC
- number of channelsH
- image heightW
- image width
Expected color order is BGR
.
The features
is a blob with the shape 1, 3
containing logits for three output classes ("no weld", "normal weld" and "porosity").
[*] Other names and brands may be claimed as the property of others.