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- /* Copyright 2019 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.
- ==============================================================================*/
- #ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_PERSON_DETECTION_IMAGE_PROVIDER_H_
- #define TENSORFLOW_LITE_MICRO_EXAMPLES_PERSON_DETECTION_IMAGE_PROVIDER_H_
- #include "tensorflow/lite/c/common.h"
- #include "tensorflow/lite/micro/micro_error_reporter.h"
- // This is an abstraction around an image source like a camera, and is
- // expected to return 8-bit sample data. The assumption is that this will be
- // called in a low duty-cycle fashion in a low-power application. In these
- // cases, the imaging sensor need not be run in a streaming mode, but rather can
- // be idled in a relatively low-power mode between calls to GetImage(). The
- // assumption is that the overhead and time of bringing the low-power sensor out
- // of this standby mode is commensurate with the expected duty cycle of the
- // application. The underlying sensor may actually be put into a streaming
- // configuration, but the image buffer provided to GetImage should not be
- // overwritten by the driver code until the next call to GetImage();
- //
- // The reference implementation can have no platform-specific dependencies, so
- // it just returns a static image. For real applications, you should
- // ensure there's a specialized implementation that accesses hardware APIs.
- TfLiteStatus GetImage(tflite::ErrorReporter* error_reporter, int image_width,
- int image_height, int channels, int8_t* image_data);
- #endif // TENSORFLOW_LITE_MICRO_EXAMPLES_PERSON_DETECTION_IMAGE_PROVIDER_H_
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