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Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
Michele Di Giorgiod9eaf612020-07-08 11:12:57 +01002 * Copyright (c) 2016, 2017 Arm Limited.
Anthony Barbier6ff3b192017-09-04 18:44:23 +01003 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#include "helpers.h"
25#include "warp_helpers.h"
26
27/** Returns the perspective matrix */
28inline const float16 build_perspective_mtx()
29{
30 return (float16)(MAT0, MAT1, MAT2, MAT3, MAT4, MAT5, MAT6, MAT7, MAT8, 0, 0, 0, (float4)0);
31}
32
33/** Transforms four 2D coordinates using the formula:
34 *
35 * x0 = M[1][1] * x + M[1][2] * y + M[1][3]
36 * y0 = M[2][1] * x + M[2][2] * y + M[2][3]
37 * z0 = M[3][1] * x + M[3][2] * y + M[3][3]
38 *
39 * (x0/z0,y0/z0)
40 *
41 * @param[in] coord 2D coordinate to transform.
42 * @param[in] mtx perspective matrix
43 *
44 * @return a vector float8 containing four 2D transformed values.
45 */
46inline const float8 apply_perspective_transform(const float2 coord, const float16 mtx)
47{
48 const float4 in_x_coords = (float4)(coord.s0, 1 + coord.s0, 2 + coord.s0, 3 + coord.s0);
49 // transform [z,z+1,z+2,z+3]
50 const float4 z = (float4)mad(in_x_coords, (float4)(mtx.s2), mad((float4)(coord.s1), (float4)(mtx.s5), (float4)(mtx.s8)));
51 // NOTE: Do not multiply x&y by 1.f/Z as this will result in loss of accuracy and mismatches with VX reference implementation
52 // transform [x,x+1,x+2,x+3]
53 const float4 new_x = (float4)mad(in_x_coords, (float4)(mtx.s0), mad((float4)(coord.s1), (float4)(mtx.s3), (float4)(mtx.s6))) / z;
54 // transform [y,y+1,y+2,y+3]
55 const float4 new_y = (float4)mad(in_x_coords, (float4)(mtx.s1), mad((float4)(coord.s1), (float4)(mtx.s4), (float4)(mtx.s7))) / z;
56 return (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3);
57}
58
59/** Performs perspective transformation on an image interpolating with the NEAREAST NEIGHBOUR method. Input and output are single channel U8.
60 *
61 * This kernel performs perspective transform with a 3x3 Matrix M with this method of pixel coordinate translation:
62 * x0 = M[1][1] * x + M[1][2] * y + M[1][3]
63 * y0 = M[2][1] * x + M[2][2] * y + M[2][3]
64 * z0 = M[3][1] * x + M[3][2] * y + M[3][3]
Anthony Barbierf202e502017-11-23 18:02:04 +000065 *
Anthony Barbier6ff3b192017-09-04 18:44:23 +010066 * output(x,y) = input(x0/z0,y0/z0)
67 *
68 * @attention The matrix coefficients need to be passed at compile time:\n
69 * const char build_options [] = "-DMAT0=1 -DMAT1=2 -DMAT2=3 -DMAT3=4 -DMAT4=5 -DMAT5=6 -DMAT6=7 -DMAT7=8 -DMAT8=9"\n
70 * clBuildProgram( program, 0, NULL, build_options, NULL, NULL);
71 *
72 * @param[in] in_ptr Pointer to the source image. Supported data types: U8.
73 * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)
74 * @param[in] in_step_x in_stride_x * number of elements along X processed per work item (in bytes)
75 * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)
76 * @param[in] in_step_y in_stride_y * number of elements along Y processed per work item (in bytes)
77 * @param[in] in_offset_first_element_in_bytes Offset of the first element in the source image
78 * @param[out] out_ptr Pointer to the destination image. Supported data types: U8.
79 * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)
80 * @param[in] out_step_x out_stride_x * number of elements along X processed per work item (in bytes)
81 * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)
82 * @param[in] out_step_y out_stride_y * number of elements along Y processed per work item (in bytes)
83 * @param[in] out_offset_first_element_in_bytes Offset of the first element in the destination image
84 * @param[in] width Width of the destination image
85 * @param[in] height Height of the destination image
86 */
87__kernel void warp_perspective_nearest_neighbour(
88 IMAGE_DECLARATION(in),
89 IMAGE_DECLARATION(out),
90 const int width,
91 const int height)
92{
93 Image in = CONVERT_TO_IMAGE_STRUCT_NO_STEP(in);
94 Image out = CONVERT_TO_IMAGE_STRUCT(out);
Isabella Gottardif9bae2e2017-07-28 17:24:08 +010095 vstore4(read_texels4(&in, convert_int8_rtn(clamp_to_border(apply_perspective_transform(get_current_coords(), build_perspective_mtx()), width, height))), 0, out.ptr);
Anthony Barbier6ff3b192017-09-04 18:44:23 +010096}
97
98/** Performs a perspective transform on an image interpolating with the BILINEAR method. Input and output are single channel U8.
99 *
100 * @attention The matrix coefficients need to be passed at compile time:\n
101 * const char build_options [] = "-DMAT0=1 -DMAT1=2 -DMAT2=3 -DMAT3=4 -DMAT4=5 -DMAT5=6 -DMAT6=7 -DMAT7=8 -DMAT8=9"\n
102 * clBuildProgram( program, 0, NULL, build_options, NULL, NULL);
103 *
104 * @param[in] in_ptr Pointer to the source image. Supported data types: U8.
105 * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)
106 * @param[in] in_step_x in_stride_x * number of elements along X processed per work item (in bytes)
107 * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)
108 * @param[in] in_step_y in_stride_y * number of elements along Y processed per work item (in bytes)
109 * @param[in] in_offset_first_element_in_bytes Offset of the first element in the source image
110 * @param[out] out_ptr Pointer to the destination image. Supported data types: U8.
111 * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)
112 * @param[in] out_step_x out_stride_x * number of elements along X processed per work item (in bytes)
113 * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)
114 * @param[in] out_step_y out_stride_y * number of elements along Y processed per work item (in bytes)
115 * @param[in] out_offset_first_element_in_bytes Offset of the first element in the destination image
116 * @param[in] width Width of the destination image
117 * @param[in] height Height of the destination image
118 */
119__kernel void warp_perspective_bilinear(
120 IMAGE_DECLARATION(in),
121 IMAGE_DECLARATION(out),
122 const int width,
123 const int height)
124{
125 Image in = CONVERT_TO_IMAGE_STRUCT_NO_STEP(in);
126 Image out = CONVERT_TO_IMAGE_STRUCT(out);
Isabella Gottardif9bae2e2017-07-28 17:24:08 +0100127 vstore4(bilinear_interpolate(&in, apply_perspective_transform(get_current_coords(), build_perspective_mtx()), width, height), 0, out.ptr);
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100128}