Add YOLO-Seg

This commit is contained in:
Marcos Luciano
2023-09-07 00:25:56 -03:00
parent 0f4377f540
commit 1a9df997a4
10 changed files with 28 additions and 2 deletions

View File

@@ -145,6 +145,7 @@ parse-bbox-func-name=NvDsInferParseYoloE
**NOTE**: The **PP-YOLOE+ and PP-YOLOE legacy** do not resize the input with padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=0
...
@@ -153,6 +154,7 @@ maintain-aspect-ratio=0
**NOTE**: The **PP-YOLOE+** uses zero mean normalization on the image preprocess. It is important to change the `net-scale-factor` according to the trained values.
```
[property]
...
net-scale-factor=0.0039215697906911373
...
@@ -163,6 +165,7 @@ net-scale-factor=0.0039215697906911373
Default: `mean = 0.485, 0.456, 0.406` and `std = 0.229, 0.224, 0.225`
```
[property]
...
net-scale-factor=0.0173520735727919486
offsets=123.675;116.28;103.53
@@ -172,6 +175,7 @@ offsets=123.675;116.28;103.53
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...