Instance Segmentation V1
Function: Uses deep learning methods to segment and detect input images, usually processing bag-like objects.
Input Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Image |
ColorImage |
None |
None |
Input image, requires a color image with RGB channels. |
Output Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Detection results |
DetectInstance |
None |
{} |
Returns bounding boxes, categories, scores and polygon. |
Parameter Settings:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Model files |
File |
['.pth'] |
None |
Model file. |
Confidence threshold |
Float |
[0.0, 1.0] |
0.9 |
Detection threshold. |
Enable GPU |
Bool |
None |
False |
Set whether to use the GPU for inference, if it is turned on, the computer needs to have a graphics card environment. |