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>

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")