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: image, 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").
The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
[*] Other names and brands may be claimed as the property of others.