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//
// 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.
#ifndef THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_PREPROCESSOR_IMAGE_PREPROCESSOR_H_
#define THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_PREPROCESSOR_IMAGE_PREPROCESSOR_H_
#include <optional>
#include <utility>
#include "absl/status/status.h" // from @com_google_absl
#include "absl/status/statusor.h" // from @com_google_absl
#include "litert/cc/litert_layout.h" // from @litert
#include "litert/cc/litert_macros.h" // from @litert
#include "runtime/engine/io_types.h"
#include "runtime/util/status_macros.h" // IWYU pragma: keep
namespace litert::lm {
class ImagePreprocessParameter {
public:
// The config for patchify.
struct PatchifyConfig {
// The width of the patch.
int patch_width;
// The height of the patch.
int patch_height;
// The maximum number of patches.
int max_num_patches;
};
// Gets the target dimensions for preprocessing.
const Dimensions& GetTargetDimensions() const { return dimensions_; }
// Sets the target dimensions for preprocessing.
void SetTargetDimensions(const Dimensions& dimensions) {
dimensions_ = dimensions;
}
// Gets the patchify config for preprocessing.
const std::optional<PatchifyConfig>& GetPatchifyConfig() const {
return patchify_config_;
}
// Sets the patchify config for preprocessing.
void SetPatchifyConfig(const PatchifyConfig& patchify_config) {
patchify_config_ = patchify_config;
}
private:
Dimensions dimensions_;
std::optional<PatchifyConfig> patchify_config_;
};
// Preprocessor for image.
// Main purpose is to process raw image bytes into a resized image TensorBuffer.
class ImagePreprocessor {
public:
virtual ~ImagePreprocessor() = default;
// Preprocesses the raw image bytes into a resized image TensorBuffer.
// Input is a string_view of the raw image bytes.
// Output is a TensorBuffer of the resized RGB image with target dimensions.
virtual absl::StatusOr<InputImage> Preprocess(
const InputImage& input_image,
const ImagePreprocessParameter& parameter) {
if (input_image.IsTensorBuffer()) {
ASSIGN_OR_RETURN(auto processed_image_tensor,
input_image.GetPreprocessedImageTensor());
LITERT_ASSIGN_OR_RETURN(auto processed_image_tensor_with_reference,
processed_image_tensor->Duplicate());
InputImage processed_image(
std::move(processed_image_tensor_with_reference));
return processed_image;
}
return absl::UnimplementedError("Image preprocessor is not implemented.");
};
};
} // namespace litert::lm
#endif // THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_PREPROCESSOR_IMAGE_PREPROCESSOR_H_
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