[SOPHGO] Add PaddleDetection YOLOv8 example (#1165)

sophon yolov8s example

Co-authored-by: Jason <jiangjiajun@baidu.com>

examples/vision/detection/paddledetection/sophgo/python/README.md

@@ -4,7 +4,7 @@
 
 - 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../../docs/cn/build_and_install/sophgo.md)
 
-本目录下提供`infer_ppyoloe.py`和`infer_picodet.py`快速完成 PP-YOLOE 和 PicoDet 在SOPHGO TPU上部署的示例。执行如下脚本即可完成
+本目录下提供`infer_ppyoloe.py`,`infer_yolov8.py`和`infer_picodet.py`快速完成 PP-YOLOE ,PP-YOLOV8和 PicoDet 在SOPHGO TPU上部署的示例。执行如下脚本即可完成
 
 ```bash
 # 下载部署示例代码
@@ -21,6 +21,8 @@ python3 infer_ppyoloe.py --model_file model/ppyoloe_crn_s_300e_coco_1684x_f32.bm
 #picodet推理示例
 python3 infer_picodet.py --model_file model/picodet_s_416_coco_lcnet_1684x_f32.bmodel --config_file model/infer_cfg.yml --image ./000000014439.jpg
 
+#yolov8推理示例
+python3 infer_yolov8.py --model_file model/yolov8s_s_300e_coco_1684x_f32.bmodel --config_file model/infer_cfg.yml --image ./000000014439.jpg
 # 运行完成后返回结果如下所示
 可视化结果存储在sophgo_result.jpg中
 ```
@@ -28,5 +30,7 @@ python3 infer_picodet.py --model_file model/picodet_s_416_coco_lcnet_1684x_f32.b
 ## 其它文档
 - [PP-YOLOE C++部署](../cpp)
 - [PicoDet C++部署](../cpp)
+- [YOLOV8 C++部署](../cpp)
 - [转换PicoDet SOPHGO模型文档](../README.md)
 - [转换PP-YOLOE SOPHGO模型文档](../README.md)
+- [转换YOLOV8 SOPHGO模型文档](../README.md)

examples/vision/detection/paddledetection/sophgo/python/infer_yolov8.py

@@ -0,0 +1,59 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--model_file", required=True, help="Path of sophgo model.")
+    parser.add_argument("--config_file", required=True, help="Path of config.")
+    parser.add_argument(
+        "--image", type=str, required=True, help="Path of test image file.")
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+    args = parse_arguments()
+
+    model_file = args.model_file
+    params_file = ""
+    config_file = args.config_file
+
+    # 配置runtime，加载模型
+    runtime_option = fd.RuntimeOption()
+    runtime_option.use_sophgo()
+
+    model = fd.vision.detection.PaddleYOLOv8(
+        model_file,
+        params_file,
+        config_file,
+        runtime_option=runtime_option,
+        model_format=fd.ModelFormat.SOPHGO)
+
+    model.postprocessor.apply_decode_and_nms()
+
+    # 预测图片分割结果
+    im = cv2.imread(args.image)
+    result = model.predict(im)
+    print(result)
+
+    # 可视化结果
+    vis_im = fd.vision.vis_detection(im, result, score_threshold=0.5)
+    cv2.imwrite("sophgo_result.jpg", vis_im)
+    print("Visualized result save in ./sophgo_result.jpg")