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New features and fixes

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This commit is contained in:
Marcos Luciano
2023-06-05 14:48:23 -03:00
parent 3f14b0d95d
commit 66a6754b77
57 changed files with 2137 additions and 1534 deletions
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docs/PPYOLOE.md
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@@ -38,7 +38,25 @@ Generate the ONNX model file (example for PP-YOLOE+_s)
```
pip3 install onnx onnxsim onnxruntime
python3 export_ppyoloe.py -w ppyoloe_plus_crn_s_80e_coco.pdparams -c configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml --simplify
python3 export_ppyoloe.py -w ppyoloe_plus_crn_s_80e_coco.pdparams -c configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml --simplify --dynamic
```
**NOTE**: To simplify the ONNX model
```
--simplify
```
**NOTE**: To use dynamic batch-size
```
--dynamic
```
**NOTE**: To use implicit batch-size (example for batch-size = 4)
```
--batch 4
```
**NOTE**: If you are using DeepStream 5.1, use opset 12 or lower. The default opset is 11.
@@ -84,7 +102,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
* DeepStream 5.1 on x86 platform
```
CUDA_VER=11.1 LEGACY=1 make -C nvdsinfer_custom_impl_Yolo
CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
@@ -93,18 +111,12 @@ Open the `DeepStream-Yolo` folder and compile the lib
CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 6.0.1 / 6.0 on Jetson platform
* DeepStream 6.0.1 / 6.0 / 5.1 on Jetson platform
```
CUDA_VER=10.2 make -C nvdsinfer_custom_impl_Yolo
```
* DeepStream 5.1 on Jetson platform
```
CUDA_VER=10.2 LEGACY=1 make -C nvdsinfer_custom_impl_Yolo
```
##
### Edit the config_infer_primary_ppyoloe_plus file
@@ -115,7 +127,6 @@ Edit the `config_infer_primary_ppyoloe_plus.txt` file according to your model (e
[property]
...
onnx-file=ppyoloe_plus_crn_s_80e_coco.onnx
model-engine-file=ppyoloe_plus_crn_s_80e_coco.onnx_b1_gpu0_fp32.engine
...
num-detected-classes=80
...
@@ -128,13 +139,17 @@ 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
```
...
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.
```
...
net-scale-factor=0.0039215697906911373
...
```
**NOTE**: The **PP-YOLOE legacy** uses normalization on the image preprocess. It is important to change the `net-scale-factor` and `offsets` according to the trained values.
@@ -142,8 +157,18 @@ net-scale-factor=0.0039215697906911373
Default: `mean = 0.485, 0.456, 0.406` and `std = 0.229, 0.224, 0.225`
```
...
net-scale-factor=0.0173520735727919486
offsets=123.675;116.28;103.53
...
```
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
...
force-implicit-batch-dim=1
...
```
##