Compute Library
 21.08
BoundingBoxTransform.cpp
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24 #include "BoundingBoxTransform.h"
25 
26 #include "arm_compute/core/Types.h"
30 
31 namespace arm_compute
32 {
33 namespace test
34 {
35 namespace validation
36 {
37 namespace reference
38 {
39 template <typename T, typename TDeltas>
41 {
42  const DataType boxes_data_type = boxes.data_type();
43  SimpleTensor<T> pred_boxes(deltas.shape(), boxes_data_type);
44 
45  const size_t num_classes = deltas.shape()[0] / 4;
46  const size_t num_boxes = deltas.shape()[1];
47  const TDeltas *deltas_ptr = deltas.data();
48  T *pred_boxes_ptr = pred_boxes.data();
49 
50  const int img_h = floor(info.img_height() / info.scale() + 0.5f);
51  const int img_w = floor(info.img_width() / info.scale() + 0.5f);
52 
53  const auto scale_after = (info.apply_scale() ? T(info.scale()) : T(1));
54  const auto scale_before = T(info.scale());
55  ARM_COMPUTE_ERROR_ON(scale_before <= 0);
56  const auto offset = (info.correct_transform_coords() ? T(1.f) : T(0.f));
57 
58  const size_t box_fields = 4;
59  const size_t class_fields = 4;
60 #if defined(_OPENMP)
61  #pragma omp parallel for
62 #endif /* _OPENMP */
63  for(size_t i = 0; i < num_boxes; ++i)
64  {
65  // Extract ROI information
66  const size_t start_box = box_fields * i;
67  const T width = (boxes[start_box + 2] / scale_before) - (boxes[start_box] / scale_before) + T(1.f);
68  const T height = (boxes[start_box + 3] / scale_before) - (boxes[start_box + 1] / scale_before) + T(1.f);
69  const T ctr_x = (boxes[start_box] / scale_before) + T(0.5f) * width;
70  const T ctr_y = (boxes[start_box + 1] / scale_before) + T(0.5f) * height;
71 
72  for(size_t j = 0; j < num_classes; ++j)
73  {
74  // Extract deltas
75  const size_t start_delta = i * num_classes * class_fields + class_fields * j;
76  const TDeltas dx = deltas_ptr[start_delta] / TDeltas(info.weights()[0]);
77  const TDeltas dy = deltas_ptr[start_delta + 1] / TDeltas(info.weights()[1]);
78  TDeltas dw = deltas_ptr[start_delta + 2] / TDeltas(info.weights()[2]);
79  TDeltas dh = deltas_ptr[start_delta + 3] / TDeltas(info.weights()[3]);
80 
81  // Clip dw and dh
82  dw = std::min(dw, TDeltas(info.bbox_xform_clip()));
83  dh = std::min(dh, TDeltas(info.bbox_xform_clip()));
84 
85  // Determine the predictions
86  const T pred_ctr_x = dx * width + ctr_x;
87  const T pred_ctr_y = dy * height + ctr_y;
88  const T pred_w = T(std::exp(dw)) * width;
89  const T pred_h = T(std::exp(dh)) * height;
90 
91  // Store the prediction into the output tensor
92  pred_boxes_ptr[start_delta] = scale_after * utility::clamp<T>(pred_ctr_x - T(0.5f) * pred_w, T(0), T(img_w - 1));
93  pred_boxes_ptr[start_delta + 1] = scale_after * utility::clamp<T>(pred_ctr_y - T(0.5f) * pred_h, T(0), T(img_h - 1));
94  pred_boxes_ptr[start_delta + 2] = scale_after * utility::clamp<T>(pred_ctr_x + T(0.5f) * pred_w - offset, T(0), T(img_w - 1));
95  pred_boxes_ptr[start_delta + 3] = scale_after * utility::clamp<T>(pred_ctr_y + T(0.5f) * pred_h - offset, T(0), T(img_h - 1));
96  }
97  }
98  return pred_boxes;
99 }
100 
103 
104 template <>
106 {
107  SimpleTensor<float> boxes_tmp = convert_from_asymmetric(boxes);
108  SimpleTensor<float> deltas_tmp = convert_from_asymmetric(deltas);
109  SimpleTensor<float> pred_boxes_tmp = bounding_box_transform<float, float>(boxes_tmp, deltas_tmp, info);
110  SimpleTensor<uint16_t> pred_boxes = convert_to_asymmetric<uint16_t>(pred_boxes_tmp, boxes.quantization_info());
111  return pred_boxes;
112 }
113 } // namespace reference
114 } // namespace validation
115 } // namespace test
116 } // namespace arm_compute
__global uchar * offset(const Image *img, int x, int y)
Get the pointer position of a Image.
Definition: helpers.h:861
DataType data_type() const override
Data type of the tensor.
Definition: SimpleTensor.h:357
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
SimpleTensor< float > convert_from_asymmetric(const SimpleTensor< uint8_t > &src)
Definition: Helpers.cpp:36
TensorShape shape() const override
Shape of the tensor.
Definition: SimpleTensor.h:320
Copyright (c) 2017-2021 Arm Limited.
SimpleTensor< T > bounding_box_transform(const SimpleTensor< T > &boxes, const SimpleTensor< TDeltas > &deltas, const BoundingBoxTransformInfo &info)
Bounding Box Transform information class.
Definition: Types.h:1408
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
std::array< float, 4 > weights() const
Definition: Types.h:1429
QuantizationInfo quantization_info() const override
Quantization info in case of asymmetric quantized type.
Definition: SimpleTensor.h:332
DataType
Available data types.
Definition: Types.h:77
const T * data() const
Constant pointer to the underlying buffer.
Definition: SimpleTensor.h:418