[Other] Add accuracy evaluation scripts (#1034)

* add accuracy scripts

* add accuracy scripts

* Add FlyCV doc

* fix conflict

* fix conflict

* fix conflict

tests/acc_eval/segmentation/eval.py

@@ -0,0 +1,58 @@
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--model", required=True, help="Path of PaddleSeg model.")
+    parser.add_argument(
+        "--image", type=str, required=True, help="Path of test image file.")
+    parser.add_argument(
+        "--device",
+        type=str,
+        default='cpu',
+        help="Type of inference device, support 'cpu' or 'gpu'.")
+    parser.add_argument(
+        "--use_trt",
+        type=ast.literal_eval,
+        default=False,
+        help="Wether to use tensorrt.")
+    return parser.parse_args()
+
+
+def build_option(args):
+    option = fd.RuntimeOption()
+
+    if args.device.lower() == "gpu":
+        option.use_gpu()
+
+    if args.device.lower() == "kunlunxin":
+        option.use_kunlunxin()
+
+    if args.device.lower() == "ascend":
+        option.use_ascend()
+
+    if args.use_trt:
+        option.use_trt_backend()
+        option.set_trt_input_shape("x", [1, 3, 256, 256], [1, 3, 1024, 1024],
+                                   [1, 3, 2048, 2048])
+    return option
+
+
+args = parse_arguments()
+
+# 配置runtime，加载模型
+runtime_option = build_option(args)
+model_file = os.path.join(args.model, "model.pdmodel")
+params_file = os.path.join(args.model, "model.pdiparams")
+config_file = os.path.join(args.model, "deploy.yaml")
+model = fd.vision.segmentation.PaddleSegModel(
+    model_file, params_file, config_file, runtime_option=runtime_option)
+
+res = fd.vision.evaluation.eval_segmentation(
+    model=model, data_dir="../dataset/FD_dataset/data/cityscapes")
+print(res)