83de13f75a
This is only available through the API, mainly intended for render farms to combine rendered multilayer EXR Files with different samples. The images are currently expected to have the exact same render layers and passes, just with different samples. Variance passes are still simply a weighted average, ideally these should be merged more intelligently. Differential Revision: https://developer.blender.org/D4554
44 lines
1.0 KiB
C++
44 lines
1.0 KiB
C++
/*
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* Copyright 2011-2019 Blender Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef __MERGE_H__
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#define __MERGE_H__
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#include "util/util_string.h"
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#include "util/util_vector.h"
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CCL_NAMESPACE_BEGIN
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/* Merge OpenEXR multilayer renders. */
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class ImageMerger {
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public:
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ImageMerger();
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bool run();
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/* Error message after running, in case of failure. */
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string error;
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/* List of image filepaths to merge. */
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vector<string> input;
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/* Output filepath. */
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string output;
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};
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CCL_NAMESPACE_END
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#endif /* __MERGE_H__ */
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