[Other] Add accuracy evaluation scripts (#1034)

* add accuracy scripts

* add accuracy scripts

* Add FlyCV doc

* fix conflict

* fix conflict

* fix conflict

tests/acc_eval/detection/eval_yolov5.py

@@ -0,0 +1,60 @@
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--model", default=None, help="Path of yolov5 model.")
+    parser.add_argument(
+        "--image", default=None, help="Path of test image file.")
+    parser.add_argument(
+        "--device",
+        type=str,
+        default='cpu',
+        help="Type of inference device, support 'cpu' or 'gpu' or 'kunlunxin'.")
+    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() == "kunlunxin":
+        option.use_kunlunxin()
+
+    if args.device.lower() == "ascend":
+        option.use_ascend()
+
+    if args.device.lower() == "gpu":
+        option.use_gpu()
+
+    if args.use_trt:
+        option.use_trt_backend()
+        option.set_trt_input_shape("images", [1, 3, 640, 640])
+    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")
+model = fd.vision.detection.YOLOv5(
+    model_file,
+    params_file,
+    runtime_option=runtime_option,
+    model_format=fd.ModelFormat.PADDLE)
+
+image_file_path = "/xieyunyao/Project/coco/val2017"
+annotation_file_path = "/xieyunyao/Project/coco/annotations/instances_val2017.json"
+
+res = fd.vision.evaluation.eval_detection(model, image_file_path,
+                                          annotation_file_path, 0.001, 0.65)
+print(res)