删除无用代码，更新python脚本

examples/vision/keypointdetection/tiny_pose/rknpu2/python/pptinypose_infer.py

@@ -0,0 +1,50 @@
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--tinypose_model_dir",
+        required=True,
+        help="path of paddletinypose model directory")
+    parser.add_argument(
+        "--image", required=True, help="path of test image file.")
+    return parser.parse_args()
+
+
+def build_tinypose_option(args):
+    option = fd.RuntimeOption()
+    option.use_rknpu()
+    return option
+
+
+args = parse_arguments()
+
+tinypose_model_file = os.path.join(args.tinypose_model_dir, "PP_TinyPose_256x192_infer_rk3588_unquantized.rknn")
+tinypose_params_file = os.path.join(args.tinypose_model_dir, "")
+tinypose_config_file = os.path.join(args.tinypose_model_dir, "infer_cfg.yml")
+# 配置runtime，加载模型
+runtime_option = build_tinypose_option(args)
+tinypose_model = fd.vision.keypointdetection.PPTinyPose(
+    tinypose_model_file,
+    tinypose_params_file,
+    tinypose_config_file,
+    runtime_option=runtime_option,
+    model_format=fd.ModelFormat.RKNN)
+tinypose_model.disable_normalize()
+tinypose_model.disable_permute()
+
+# 预测图片检测结果
+im = cv2.imread(args.image)
+tinypose_result = tinypose_model.predict(im)
+print("Paddle TinyPose Result:\n", tinypose_result)
+
+# 预测结果可视化
+vis_im = fd.vision.vis_keypoint_detection(
+    im, tinypose_result, conf_threshold=0.5)
+cv2.imwrite("visualized_result.jpg", vis_im)
+print("TinyPose visualized result save in ./visualized_result.jpg")