feat: 切换后端至PaddleOCR-NCNN，切换工程为CMake

1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试
2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程
3.重整权利声明文件，重整代码工程，确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c

3rdparty/ncnn/tools/pnnx/src/pass_level1/nn_PixelShuffle.cpp

@@ -0,0 +1,44 @@
+// Tencent is pleased to support the open source community by making ncnn available.
+//
+// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
+//
+// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
+// in compliance with the License. You may obtain a copy of the License at
+//
+// https://opensource.org/licenses/BSD-3-Clause
+//
+// 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 "pass_level1.h"
+
+#include "../utils.h"
+
+namespace pnnx {
+
+class PixelShuffle : public FuseModulePass
+{
+public:
+    const char* match_type_str() const
+    {
+        return "__torch__.torch.nn.modules.pixelshuffle.PixelShuffle";
+    }
+
+    const char* type_str() const
+    {
+        return "nn.PixelShuffle";
+    }
+
+    void write(Operator* op, const std::shared_ptr<torch::jit::Graph>& graph) const
+    {
+        const torch::jit::Node* pixel_shuffle = find_node_by_kind(graph, "aten::pixel_shuffle");
+
+        op->params["upscale_factor"] = pixel_shuffle->namedInput("upscale_factor");
+    }
+};
+
+REGISTER_GLOBAL_PNNX_FUSE_MODULE_PASS(PixelShuffle)
+
+} // namespace pnnx