[Docs] Pick PPOCR fastdeploy docs from PaddleOCR (#1534)

* Pick PPOCR fastdeploy docs from PaddleOCR

* improve ppocr

* improve readme

* remove old PP-OCRv2 and PP-OCRv3 folfers

* rename kunlun to kunlunxin

* improve readme

* improve readme

* improve readme

---------

Co-authored-by: Jason <jiangjiajun@baidu.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>

examples/vision/ocr/PP-OCR/cpu-gpu/python/infer_rec.py

@@ -0,0 +1,79 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--rec_model",
+        required=True,
+        help="Path of Recognization model of PPOCR.")
+    parser.add_argument(
+        "--rec_label_file",
+        required=True,
+        help="Path of Recognization model of PPOCR.")
+    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', 'kunlunxin' or 'gpu'.")
+    parser.add_argument(
+        "--device_id",
+        type=int,
+        default=0,
+        help="Define which GPU card used to run model.")
+    return parser.parse_args()
+
+
+def build_option(args):
+
+    rec_option = fd.RuntimeOption()
+
+    if args.device.lower() == "gpu":
+        rec_option.use_gpu(args.device_id)
+
+    return rec_option
+
+
+args = parse_arguments()
+
+rec_model_file = os.path.join(args.rec_model, "inference.pdmodel")
+rec_params_file = os.path.join(args.rec_model, "inference.pdiparams")
+rec_label_file = args.rec_label_file
+
+# Set the runtime option
+rec_option = build_option(args)
+
+# Create the rec_model
+rec_model = fd.vision.ocr.Recognizer(
+    rec_model_file, rec_params_file, rec_label_file, runtime_option=rec_option)
+
+# Read the image
+im = cv2.imread(args.image)
+
+# Predict and return the result
+result = rec_model.predict(im)
+
+# User can infer a batch of images by following code.
+# result = rec_model.batch_predict([im])
+
+print(result)