Remove denoise module and thirdparty OIDN.

This is replaced by a much lighter weight and faster JNLM denoiser. OIDN is still much more accurate, and may be provided as an optional backend in the future, but the JNLM denoiser seems good enough for most use cases and removing OIDN reduces the build system complexity, binary size, and build times very significantly.

1 files changed, 0 insertions, 83 deletions

diff --git a/thirdparty/oidn/common/tensor.cpp b/thirdparty/oidn/common/tensor.cpp
deleted file mode 100644
index 0249f2e141..0000000000
--- a/thirdparty/oidn/common/tensor.cpp
+++ /dev/null
@@ -1,83 +0,0 @@
-// ======================================================================== //
-// Copyright 2009-2019 Intel Corporation                                    //
-//                                                                          //
-// 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 "exception.h"
-#include "tensor.h"
-
-namespace oidn {
-
-  std::map<std::string, Tensor> parseTensors(void* buffer)
-  {
-    char* input = (char*)buffer;
-
-    // Parse the magic value
-    const int magic = *(unsigned short*)input;
-    if (magic != 0x41D7)
-      throw Exception(Error::InvalidOperation, "invalid tensor archive");
-    input += sizeof(unsigned short);
-
-    // Parse the version
-    const int majorVersion = *(unsigned char*)input++;
-    const int minorVersion = *(unsigned char*)input++;
-    UNUSED(minorVersion);
-    if (majorVersion > 1)
-      throw Exception(Error::InvalidOperation, "unsupported tensor archive version");
-
-    // Parse the number of tensors
-    const int numTensors = *(int*)input;
-    input += sizeof(int);
-
-    // Parse the tensors
-    std::map<std::string, Tensor> tensorMap;
-    for (int i = 0; i < numTensors; ++i)
-    {
-      Tensor tensor;
-
-      // Parse the name
-      const int nameLen = *(unsigned char*)input++;
-      std::string name(input, nameLen);
-      input += nameLen;
-
-      // Parse the number of dimensions
-      const int ndims = *(unsigned char*)input++;
-
-      // Parse the shape of the tensor
-      tensor.dims.resize(ndims);
-      for (int i = 0; i < ndims; ++i)
-        tensor.dims[i] = ((int*)input)[i];
-      input += ndims * sizeof(int);
-
-      // Parse the format of the tensor
-      tensor.format = std::string(input, input + ndims);
-      input += ndims;
-
-      // Parse the data type of the tensor
-      const char type = *(unsigned char*)input++;
-      if (type != 'f') // only float32 is supported
-        throw Exception(Error::InvalidOperation, "unsupported tensor data type");
-
-      // Skip the data
-      tensor.data = (float*)input;
-      input += tensor.size() * sizeof(float);
-
-      // Add the tensor to the map
-      tensorMap.emplace(name, std::move(tensor));
-    }
-
-    return tensorMap;
-  }
-
-} // namespace oidn