更换文档检测模型

paddle_detection/deploy/fastdeploy/rockchip/rknpu2/python/README.md

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+[English](README.md) | 简体中文
+# PaddleDetection RKNPU2 Python部署示例
+
+本目录下用于展示PaddleDetection系列模型在RKNPU2上的部署，以下的部署过程以PPYOLOE为例子。
+
+## 1. 部署环境准备
+在部署前，需确认以下步骤
+
+- 1. 软硬件环境满足要求，RKNPU2环境部署等参考[FastDeploy环境要求](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/faq/rknpu2/rknpu2.md)
+
+## 2. 部署模型准备
+
+模型转换代码请参考[模型转换文档](../README.md)
+
+## 3. 运行部署示例  
+
+本目录下提供`infer.py`快速完成PPYOLOE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/PaddleDetection.git
+cd PaddleDetection/deploy/fastdeploy/rockchip/rknpu2/python
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+# git checkout develop
+
+# 下载图片
+wget https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/ppyoloe_plus_crn_s_80e_coco.zip
+unzip ppyoloe_plus_crn_s_80e_coco.zip
+wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
+
+# 运行部署示例
+python3 infer.py --model_file ./ppyoloe_plus_crn_s_80e_coco/ppyoloe_plus_crn_s_80e_coco_rk3588_quantized.rknn  \
+                 --config_file ./ppyoloe_plus_crn_s_80e_coco/infer_cfg.yml \
+                 --image_file 000000014439.jpg
+```
+
+# 4. 更多指南
+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，需要先调用DisableNormalizeAndPermute(C++)或`disable_normalize_and_permute(Python)，在预处理阶段禁用归一化以及数据格式的转换。
+
+- [C++部署](../cpp)
+- [转换PaddleDetection RKNN模型文档](../README.md)

paddle_detection/deploy/fastdeploy/rockchip/rknpu2/python/infer.py

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+# 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",
+        default="./ppyoloe_plus_crn_s_80e_coco/ppyoloe_plus_crn_s_80e_coco_rk3588_quantized.rknn",
+        help="Path of rknn model.")
+    parser.add_argument(
+        "--config_file",
+        default="./ppyoloe_plus_crn_s_80e_coco/infer_cfg.yml",
+        help="Path of config.")
+    parser.add_argument(
+        "--image_file",
+        type=str,
+        default="./000000014439.jpg",
+        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
+
+    # setup runtime
+    runtime_option = fd.RuntimeOption()
+    runtime_option.use_rknpu2()
+
+    model = fd.vision.detection.PPYOLOE(
+        model_file,
+        params_file,
+        config_file,
+        runtime_option=runtime_option,
+        model_format=fd.ModelFormat.RKNN)
+    model.preprocessor.disable_normalize()
+    model.preprocessor.disable_permute()
+    model.postprocessor.apply_nms()
+
+    # predict
+    im = cv2.imread(args.image_file)
+    result = model.predict(im)
+    print(result)
+
+    # visualize
+    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")