Add model YOLOv7 support

examples/CMakeLists.txt

@@ -17,6 +17,7 @@ endfunction()
 if (WITH_VISION_EXAMPLES)
   add_fastdeploy_executable(vision ultralytics yolov5)
   add_fastdeploy_executable(vision meituan yolov6)
+  add_fastdeploy_executable(vision wongkinyiu yolov7)
   add_fastdeploy_executable(vision megvii yolox)
 endif()
 

examples/vision/wongkinyiu_yolov7.cc

@@ -0,0 +1,52 @@
+// 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.
+
+#include "fastdeploy/vision.h"
+
+int main() {
+  namespace vis = fastdeploy::vision;
+
+  std::string model_file = "../resources/models/yolov7.onnx";
+  std::string img_path = "../resources/images/horses.jpg";
+  std::string vis_path  = "../resources/outputs/wongkinyiu_yolov7_vis_result.jpg";
+
+  auto model = vis::wongkinyiu::YOLOv7(model_file);
+  if (!model.Initialized()) {
+    std::cerr << "Init Failed! Model: " << model_file << std::endl;
+    return -1;
+  } else {
+    std::cout << "Init Done! Model:" << model_file << std::endl; 
+  }
+  model.EnableDebug();
+
+  cv::Mat im = cv::imread(img_path);
+  cv::Mat vis_im = im.clone();
+
+  vis::DetectionResult res;
+  if (!model.Predict(&im, &res)) {
+    std::cerr << "Prediction Failed." << std::endl;
+    return -1;
+  } else {
+    std::cout << "Prediction Done!" << std::endl; 
+  }
+
+  // 输出预测框结果
+  std::cout << res.Str() << std::endl;
+
+  // 可视化预测结果
+  vis::Visualize::VisDetection(&vis_im, res);
+  cv::imwrite(vis_path, vis_im);
+  std::cout << "Detect Done! Saved: " << vis_path << std::endl;
+  return 0;
+}

fastdeploy/vision.h

@@ -17,6 +17,7 @@
 #ifdef ENABLE_VISION
 #include "fastdeploy/vision/ppcls/model.h"
 #include "fastdeploy/vision/ultralytics/yolov5.h"
+#include "fastdeploy/vision/wongkinyiu/yolov7.h"
 #include "fastdeploy/vision/meituan/yolov6.h"
 #include "fastdeploy/vision/megvii/yolox.h"
 #endif

fastdeploy/vision/__init__.py

@@ -19,3 +19,4 @@
 from . import meituan
 from . import megvii
 from . import visualize
+from . import wongkinyiu

fastdeploy/vision/vision_pybind.cc

@@ -17,6 +17,7 @@
 namespace fastdeploy {
 
 void BindPpClsModel(pybind11::module& m);
+void BindWongkinyiu(pybind11::module& m);
 void BindUltralytics(pybind11::module& m);
 void BindMeituan(pybind11::module& m);
 void BindMegvii(pybind11::module& m);
@@ -42,6 +43,7 @@ void BindVision(pybind11::module& m) {
 
   BindPpClsModel(m);
   BindUltralytics(m);
+  BindWongkinyiu(m);
   BindMeituan(m);
   BindMegvii(m);
 #ifdef ENABLE_VISION_VISUALIZE

fastdeploy/vision/wongkinyiu/__init__.py

@@ -0,0 +1,116 @@
+# 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.
+
+from __future__ import absolute_import
+import logging
+from ... import FastDeployModel, Frontend
+from ... import fastdeploy_main as C
+
+
+class YOLOv7(FastDeployModel):
+    def __init__(self,
+                 model_file,
+                 params_file="",
+                 runtime_option=None,
+                 model_format=Frontend.ONNX):
+        # 调用基函数进行backend_option的初始化
+        # 初始化后的option保存在self._runtime_option
+        super(YOLOv7, self).__init__(runtime_option)
+
+        self._model = C.vision.wongkinyiu.YOLOv7(
+            model_file, params_file, self._runtime_option, model_format)
+        # 通过self.initialized判断整个模型的初始化是否成功
+        assert self.initialized, "YOLOv7 initialize failed."
+
+    def predict(self, input_image, conf_threshold=0.25, nms_iou_threshold=0.5):
+        return self._model.predict(input_image, conf_threshold,
+                                   nms_iou_threshold)
+
+    # 一些跟YOLOv7模型有关的属性封装
+    # 多数是预处理相关，可通过修改如model.size = [1280, 1280]改变预处理时resize的大小（前提是模型支持）
+    @property
+    def size(self):
+        return self._model.size
+
+    @property
+    def padding_value(self):
+        return self._model.padding_value
+
+    @property
+    def is_no_pad(self):
+        return self._model.is_no_pad
+
+    @property
+    def is_mini_pad(self):
+        return self._model.is_mini_pad
+
+    @property
+    def is_scale_up(self):
+        return self._model.is_scale_up
+
+    @property
+    def stride(self):
+        return self._model.stride
+
+    @property
+    def max_wh(self):
+        return self._model.max_wh
+
+    @size.setter
+    def size(self, wh):
+        assert isinstance(wh, [list, tuple]),\
+            "The value to set `size` must be type of tuple or list."
+        assert len(wh) == 2,\
+            "The value to set `size` must contatins 2 elements means [width, height], but now it contains {} elements.".format(
+            len(wh))
+        self._model.size = wh
+
+    @padding_value.setter
+    def padding_value(self, value):
+        assert isinstance(
+            value,
+            list), "The value to set `padding_value` must be type of list."
+        self._model.padding_value = value
+
+    @is_no_pad.setter
+    def is_no_pad(self, value):
+        assert isinstance(
+            value, bool), "The value to set `is_no_pad` must be type of bool."
+        self._model.is_no_pad = value
+
+    @is_mini_pad.setter
+    def is_mini_pad(self, value):
+        assert isinstance(
+            value,
+            bool), "The value to set `is_mini_pad` must be type of bool."
+        self._model.is_mini_pad = value
+
+    @is_scale_up.setter
+    def is_scale_up(self, value):
+        assert isinstance(
+            value,
+            bool), "The value to set `is_scale_up` must be type of bool."
+        self._model.is_scale_up = value
+
+    @stride.setter
+    def stride(self, value):
+        assert isinstance(
+            value, int), "The value to set `stride` must be type of int."
+        self._model.stride = value
+
+    @max_wh.setter
+    def max_wh(self, value):
+        assert isinstance(
+            value, float), "The value to set `max_wh` must be type of float."
+        self._model.max_wh = value

fastdeploy/vision/wongkinyiu/wongkinyiu_pybind.cc

@@ -0,0 +1,41 @@
+// 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.
+
+#include "fastdeploy/pybind/main.h"
+
+namespace fastdeploy {
+void BindWongkinyiu(pybind11::module& m) {
+  auto wongkinyiu_module =
+      m.def_submodule("wongkinyiu", "https://github.com/WongKinYiu/yolov7");
+  pybind11::class_<vision::wongkinyiu::YOLOv7, FastDeployModel>(
+      wongkinyiu_module, "YOLOv7")
+      .def(pybind11::init<std::string, std::string, RuntimeOption, Frontend>())
+      .def("predict",
+           [](vision::wongkinyiu::YOLOv7& self, pybind11::array& data,
+              float conf_threshold, float nms_iou_threshold) {
+             auto mat = PyArrayToCvMat(data);
+             vision::DetectionResult res;
+             self.Predict(&mat, &res, conf_threshold, nms_iou_threshold);
+             return res;
+           })
+      .def_readwrite("size", &vision::wongkinyiu::YOLOv7::size)
+      .def_readwrite("padding_value",
+                     &vision::wongkinyiu::YOLOv7::padding_value)
+      .def_readwrite("is_mini_pad", &vision::wongkinyiu::YOLOv7::is_mini_pad)
+      .def_readwrite("is_no_pad", &vision::wongkinyiu::YOLOv7::is_no_pad)
+      .def_readwrite("is_scale_up", &vision::wongkinyiu::YOLOv7::is_scale_up)
+      .def_readwrite("stride", &vision::wongkinyiu::YOLOv7::stride)
+      .def_readwrite("max_wh", &vision::wongkinyiu::YOLOv7::max_wh);
+}
+}  // namespace fastdeploy