[Backend] add sophgo backend (#1015)

* Add Sophgo Device

add sophgo backend in fastdeploy

add resnet50, yolov5s, liteseg examples.

* replace sophgo lib with download links; fix model.cc bug

* modify CodeStyle

* remove unuseful files;change the names of sophgo device and sophgo
backend

* sophgo support python and add python examples

* remove unuseful rows in cmake according pr

Co-authored-by: Zilong Xing <zilong.xing@sophgo.com>

examples/vision/segmentation/paddleseg/sophgo/python/infer.py

@@ -0,0 +1,45 @@
+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 model.")
+    parser.add_argument(
+        "--config_file", required=True, help="Path of config file.")
+    parser.add_argument(
+        "--image", type=str, required=True, help="Path of test image file.")
+
+    return parser.parse_args()
+
+
+args = parse_arguments()
+
+# 配置runtime，加载模型
+runtime_option = fd.RuntimeOption()
+runtime_option.use_sophgo()
+
+model_file = args.model
+params_file = ""
+config_file = args.config_file
+
+model = fd.vision.segmentation.PaddleSegModel(
+    model_file,
+    params_file,
+    config_file,
+    runtime_option=runtime_option,
+    model_format=fd.ModelFormat.SOPHGO)
+
+# 预测图片分类结果
+im_org = cv2.imread(args.image)
+#bmodel 是静态模型，模型输入固定，这里设置为[512, 512]
+im = cv2.resize(im_org, [512, 512], interpolation=cv2.INTER_LINEAR)
+result = model.predict(im)
+print(result)
+
+# 预测结果可视化
+vis_im = fd.vision.vis_segmentation(im, result, weight=0.5)
+cv2.imwrite("sophgo_img.png", vis_im)