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Marcos Luciano
2023-05-19 03:05:43 -03:00
parent 68f762d5bd
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docs/PPYOLOE.md
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@@ -1,5 +1,7 @@
# PP-YOLOE / PP-YOLOE+ usage
**NOTE**: You can use the release/2.6 branch of the PPYOLOE repo to convert all model versions.
* [Convert model](#convert-model)
* [Compile the lib](#compile-the-lib)
* [Edit the config_infer_primary_ppyoloe_plus file](#edit-the-config_infer_primary_ppyoloe_plus-file)
@@ -12,35 +14,36 @@
#### 1. Download the PaddleDetection repo and install the requirements
https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.5/docs/tutorials/INSTALL.md
https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.6/docs/tutorials/INSTALL.md
**NOTE**: It is recommended to use Python virtualenv.
#### 2. Copy conversor
Copy the `gen_wts_ppyoloe.py` file from `DeepStream-Yolo/utils` directory to the `PaddleDetection` folder.
Copy the `export_ppyoloe.py` file from `DeepStream-Yolo/utils` directory to the `PaddleDetection` folder.
#### 3. Download the model
Download the `pdparams` file from [PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/configs/ppyoloe) releases (example for PP-YOLOE+_s)
Download the `pdparams` file from [PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.6/configs/ppyoloe) releases (example for PP-YOLOE+_s)
```
wget https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_s_80e_coco.pdparams
```
**NOTE**: You can use your custom model, but it is important to keep the YOLO model reference (`ppyoloe_`) in you `cfg` and `weights`/`wts` filenames to generate the engine correctly.
**NOTE**: You can use your custom model.
#### 4. Convert model
Generate the `cfg` and `wts` files (example for PP-YOLOE+_s)
Generate the ONNX model file (example for PP-YOLOE+_s)
```
python3 gen_wts_ppyoloe.py -w ppyoloe_plus_crn_s_80e_coco.pdparams -c configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml
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
```
#### 5. Copy generated files
Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder.
Copy the generated ONNX model file to the `DeepStream-Yolo` folder.
##
@@ -93,11 +96,13 @@ Edit the `config_infer_primary_ppyoloe_plus.txt` file according to your model (e
```
[property]
...
custom-network-config=ppyoloe_plus_crn_s_80e_coco.cfg
model-file=ppyoloe_plus_crn_s_80e_coco.wts
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
...
parse-bbox-func-name=NvDsInferParseYoloE
...
```
**NOTE**: If you use the **legacy** model, you should edit the `config_infer_primary_ppyoloe.txt` file.