[Turorials] Add tutorials for intel gpu (#860)

* Add tutorials for intel gpu

* fix gflags dependency

* Update README_CN.md

* Update README.md

* Update README.md

tutorials/intel_gpu/python/infer_ppyoloe.py

@@ -0,0 +1,65 @@
+import fastdeploy as fd
+import cv2
+import os
+import time
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--model", required=True, help="Path of PP-YOLOE 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 'intel_gpu'.")
+    return parser.parse_args()
+
+
+def build_option(args):
+    option = fd.RuntimeOption()
+    option.use_openvino_backend()
+
+    assert args.device.lower(
+    ) in ["cpu", "intel_gpu"], "--device only support ['cpu', 'intel_gpu']"
+
+    if args.device.lower() == "intel_gpu":
+        option.set_openvino_device("HETERO:GPU,CPU")
+        option.set_openvino_shape_info({
+            "image": [1, 3, 640, 640],
+            "scale_factor": [1, 2]
+        })
+        option.set_openvino_cpu_operators(["MulticlassNms"])
+    return option
+
+
+args = parse_arguments()
+
+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, "infer_cfg.yml")
+model = fd.vision.detection.PPYOLOE(
+    model_file, params_file, config_file, runtime_option=runtime_option)
+
+im = cv2.imread(args.image)
+
+print("Warmup 20 times...")
+for i in range(20):
+    result = model.predict(im)
+
+print("Counting time...")
+start = time.time()
+for i in range(50):
+    result = model.predict(im)
+end = time.time()
+print("Elapsed time: {}ms".format((end - start) * 1000))
+
+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")