| /* Copyright 2020 The TensorFlow 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 "tensorflow_lite_support/examples/task/vision/desktop/utils/image_utils.h" |
| |
| #include <cstdlib> |
| #include <cstring> |
| #include <vector> |
| |
| // These need to be defined for stb_image.h and stb_image_write.h to include |
| // the actual implementations of image decoding/encoding functions. |
| #define STB_IMAGE_IMPLEMENTATION |
| #define STB_IMAGE_WRITE_IMPLEMENTATION |
| |
| #include "absl/status/status.h" |
| #include "absl/strings/match.h" |
| #include "absl/strings/str_format.h" |
| #include "stb_image.h" |
| #include "stb_image_write.h" |
| #include "tensorflow_lite_support/cc/port/status_macros.h" |
| #include "tensorflow_lite_support/cc/port/statusor.h" |
| |
| namespace tflite { |
| namespace task { |
| namespace vision { |
| |
| using ::tflite::support::StatusOr; |
| |
| StatusOr<ImageData> DecodeImageFromFile(const std::string& file_name) { |
| ImageData image_data; |
| image_data.pixel_data = stbi_load(file_name.c_str(), &image_data.width, |
| &image_data.height, &image_data.channels, |
| /*desired_channels=*/0); |
| if (image_data.pixel_data == nullptr) { |
| return absl::InternalError(absl::StrFormat( |
| "An error occurred while decoding image: %s", stbi_failure_reason())); |
| } |
| if (image_data.channels != 1 && image_data.channels != 3 && |
| image_data.channels != 4) { |
| stbi_image_free(image_data.pixel_data); |
| return absl::UnimplementedError( |
| absl::StrFormat("Expected image with 1 (grayscale), 3 (RGB) or 4 " |
| "(RGBA) channels, found %d", |
| image_data.channels)); |
| } |
| return image_data; |
| } |
| |
| absl::Status EncodeImageToPngFile(const ImageData& image_data, |
| const std::string& image_path) { |
| // Sanity check inputs. |
| if (image_data.width <= 0 || image_data.height <= 0) { |
| return absl::InvalidArgumentError( |
| absl::StrFormat("Expected positive image dimensions, found %d x %d.", |
| image_data.width, image_data.height)); |
| } |
| if (image_data.channels != 1 && image_data.channels != 3 && |
| image_data.channels != 4) { |
| return absl::UnimplementedError( |
| absl::StrFormat("Expected image data with 1 (grayscale), 3 (RGB) or 4 " |
| "(RGBA) channels, found %d", |
| image_data.channels)); |
| } |
| if (image_data.pixel_data == nullptr) { |
| return absl::InvalidArgumentError( |
| "Expected pixel data to be set, found nullptr."); |
| } |
| |
| if (stbi_write_png( |
| image_path.c_str(), image_data.width, image_data.height, |
| image_data.channels, image_data.pixel_data, |
| /*stride_in_bytes=*/image_data.width * image_data.channels) == 0) { |
| return absl::InternalError("An error occurred while encoding image."); |
| } |
| |
| return absl::OkStatus(); |
| } |
| |
| void ImageDataFree(ImageData* image) { stbi_image_free(image->pixel_data); } |
| |
| } // namespace vision |
| } // namespace task |
| } // namespace tflite |