Add YOLOv5-cls Model (#335)

* add yolov5cls

* fixed bugs

* fixed bugs

* fixed preprocess bug

* add yolov5cls readme

* deal with comments

* Add YOLOv5Cls Note

* add yolov5cls test

Co-authored-by: Jason <jiangjiajun@baidu.com>

tests/eval_example/test_yolov5cls.py

@@ -0,0 +1,49 @@
+# 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
+import pickle
+import numpy as np
+
+
+def test_classification_yolov5cls():
+    model_url = "https://bj.bcebos.com/paddlehub/fastdeploy/yolov5n-cls.tgz"
+    input_url = "https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg"
+    fd.download_and_decompress(model_url, ".")
+    fd.download(input_url, ".")
+    model_path = "yolov5n-cls/yolov5n-cls.onnx"
+    # use ORT
+    runtime_option = fd.RuntimeOption()
+    runtime_option.use_ort_backend()
+    model = fd.vision.classification.YOLOv5Cls(
+        model_path, runtime_option=runtime_option)
+
+    # compare diff
+    im = cv2.imread("./ILSVRC2012_val_00000010.jpeg")
+    result = model.predict(im.copy(), topk=5)
+    with open("yolov5n-cls/result.pkl", "rb") as f:
+        expect = pickle.load(f)
+
+    diff_label = np.fabs(
+        np.array(result.label_ids) - np.array(expect["labels"]))
+    diff_score = np.fabs(np.array(result.scores) - np.array(expect["scores"]))
+    thres = 1e-05
+    assert diff_label.max(
+    ) < thres, "The label diff is %f, which is bigger than %f" % (
+        diff_label.max(), thres)
+    assert diff_score.max(
+    ) < thres, "The score diff is %f, which is bigger than %f" % (
+        diff_score.max(), thres)