Add RKYOLOv5 RKYOLOX RKYOLOV7 (#709)

* 更正代码格式 * 更正代码格式 * 修复语法错误 * fix rk error * update * update * update * update * update * update * update Co-authored-by: Jason <jiangjiajun@baidu.com>
2025-10-05 16:48:03 +08:00 · 2022-12-10 15:44:00 +08:00
parent 6f5521e63e
commit c7dc7d5eee
25 changed files with 1516 additions and 1 deletions
--- a/examples/vision/detection/rkyolo/python/README.md
+++ b/examples/vision/detection/rkyolo/python/README.md
@@ -0,0 +1,34 @@
+# RKYOLO Python部署示例
+
+在部署前，需确认以下两个步骤
+
+- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../../docs/cn/build_and_install/rknpu2.md)
+
+本目录下提供`infer.py`快速完成Picodet在RKNPU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
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd FastDeploy/examples/vision/detection/rkyolo/python
+
+# 下载图片
+wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
+
+# copy model
+cp -r ./model /path/to/FastDeploy/examples/vision/detection/rkyolo/python
+
+# 推理
+python3 infer.py --model_file ./model/  \
+                  --image 000000014439.jpg
+```
+
+
+## 注意事项
+RKNPU上对模型的输入要求是使用NHWC格式，且图片归一化操作会在转RKNN模型时，内嵌到模型中，因此我们在使用FastDeploy部署时，
+
+## 其它文档
+
+- [PaddleDetection 模型介绍](..)
+- [PaddleDetection C++部署](../cpp)
+- [模型预测结果说明](../../../../../../docs/api/vision_results/)
+- [转换PaddleDetection RKNN模型文档](../README.md)
--- a/examples/vision/detection/rkyolo/python/infer.py
+++ b/examples/vision/detection/rkyolo/python/infer.py
@@ -0,0 +1,53 @@
+# 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 rknn model.")
+    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 = ""
+
+    # 配置runtime，加载模型
+    runtime_option = fd.RuntimeOption()
+    runtime_option.use_rknpu2()
+
+    model = fd.vision.detection.RKYOLOV5(
+        model_file,
+        runtime_option=runtime_option,
+        model_format=fd.ModelFormat.RKNN)
+
+    # 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("visualized_result.jpg", vis_im)
+    print("Visualized result save in ./visualized_result.jpg")