41 lines
2.2 KiB
C
41 lines
2.2 KiB
C
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 TENSORFLOW_LITE_MICRO_EXAMPLES_PERSON_DETECTION_EXPERIMENTAL_IMAGE_PROVIDER_H_
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#define TENSORFLOW_LITE_MICRO_EXAMPLES_PERSON_DETECTION_EXPERIMENTAL_IMAGE_PROVIDER_H_
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/micro/micro_error_reporter.h"
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// This is an abstraction around an image source like a camera, and is
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// expected to return 8-bit sample data. The assumption is that this will be
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// called in a low duty-cycle fashion in a low-power application. In these
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// cases, the imaging sensor need not be run in a streaming mode, but rather can
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// be idled in a relatively low-power mode between calls to GetImage(). The
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// assumption is that the overhead and time of bringing the low-power sensor out
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// of this standby mode is commensurate with the expected duty cycle of the
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// application. The underlying sensor may actually be put into a streaming
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// configuration, but the image buffer provided to GetImage should not be
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// overwritten by the driver code until the next call to GetImage();
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//
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// The reference implementation can have no platform-specific dependencies, so
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// it just returns a static image. For real applications, you should
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// ensure there's a specialized implementation that accesses hardware APIs.
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TfLiteStatus GetImage(tflite::ErrorReporter* error_reporter, int image_width,
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int image_height, int channels, int8_t* image_data,
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uint8_t * hardware_input);
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#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_PERSON_DETECTION_EXPERIMENTAL_IMAGE_PROVIDER_H_
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