Details
Filter Grammar -Built-in variables
Generic Tool-Specific View-Level Variables
The following table list the variables tied to specific VisionPro Deep Learning tools, along with specific components of those tools. The variables below can be used to filter the result of processing.
| Red tool View variables | ||
| Bool | Returns views that are labeled as good. Example : "good and score <= 0.2 " | |
| negative | Bool | Returns the same results as good. |
| bad | Bool | Returns views that are labeled as bad. Example : "bad and score >= 0.8" |
| positive | Bool | Returns the same results as bad. |
| mismatch | Bool | |
| recall | Floating Point | Returns the recall as the processing result. Example: "recall >= 0.7" |
| precision | Floating Point | Returns the precision as the processing result. Example: "precision>= 0.7" |
| f_score | Floating Point | Returns the f-score as the processing result. Example: "f-score>= 0.75" |
| T1 | Floating Point | Returns the lower threshold value. Example: "T1>= 0.4" |
| T2 | Floating Point | Returns the upper threshold value. Example: "T2>= 0.6" |
| score | Floating Point | Returns the highest defect probability. Example: "score>= 0.5" |
| deviation | Floating Point | Returns the same results as score. |
| Blue Tool View variables | ||
| mismatch | Bool | |
| recall | Floating Point | |
| precision | Floating Point | |
| f_score | Floating Point | |
| best_match_string | String | |
| Green Tool View variables | ||
| threshold | Floating Point | |
| score | Floating Point | |
| unknown | Floating Point | Denotes an image that is labeled as an unknown (in other words, untrained) class. |
| mismatch | Floating Point | |
| best_tag | String | |
| validated | Returns only the views that are included in the validation set of Green Classify High Detail. | |
| not validated | Returns only the views that are not included in the validation set of Green Classify High Detail. |
