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- /* ----------------------------------------------------------------------
- * Project: TinyEngine
- * Title: detectionUtility.h
- *
- * Reference papers:
- * - MCUNet: Tiny Deep Learning on IoT Device, NeurIPS 2020
- * - MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning, NeurIPS 2021
- * - MCUNetV3: On-Device Training Under 256KB Memory, NeurIPS 2022
- * Contact authors:
- * - Wei-Ming Chen, wmchen@mit.edu
- * - Wei-Chen Wang, wweichen@mit.edu
- * - Ji Lin, jilin@mit.edu
- * - Ligeng Zhu, ligeng@mit.edu
- * - Song Han, songhan@mit.edu
- *
- * Target ISA: ARMv7E-M
- * -------------------------------------------------------------------- */
- #ifndef TINYENGINE_INCLUDE_DETECTIONUTILITY_H_
- #define TINYENGINE_INCLUDE_DETECTIONUTILITY_H_
- int postProcessing(signed char *input, unsigned char* runtime_buffer,
- int y_zero, float y_scale, int shape_x, int shape_y, int shape_c, int resolution,
- int width, int height , float conf_thresh, float out_boxes[10][6]);
- #endif /* TINYENGINE_INCLUDE_DETECTIONUTILITY_H_ */
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