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aomedia / aom / dd5066dca0efb6fb687c667cf4eecbd865d1fa87 / . / av1 / encoder / global_motion.c
blob: 499d597c9bd1bb258823bd0bdad83e19ae3e2001 [file] [log] [blame]
/*
* Copyright (c) 2016, Alliance for Open Media. All rights reserved
*
* This source code is subject to the terms of the BSD 2 Clause License and
* the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
* was not distributed with this source code in the LICENSE file, you can
* obtain it at www.aomedia.org/license/software. If the Alliance for Open
* Media Patent License 1.0 was not distributed with this source code in the
* PATENTS file, you can obtain it at www.aomedia.org/license/patent.
*/
#include <stdio.h>
#include <stdlib.h>
#include <memory.h>
#include <math.h>
#include <assert.h>
#include "config/aom_dsp_rtcd.h"
#include "av1/encoder/global_motion.h"
#include "av1/common/convolve.h"
#include "av1/common/resize.h"
#include "av1/common/warped_motion.h"
#include "av1/encoder/segmentation.h"
#include "av1/encoder/corner_detect.h"
#include "av1/encoder/corner_match.h"
#include "av1/encoder/ransac.h"
#define MIN_INLIER_PROB 0.1
#define MIN_TRANS_THRESH (1 * GM_TRANS_DECODE_FACTOR)
// Border over which to compute the global motion
#define ERRORADV_BORDER 0
// Number of pyramid levels in disflow computation
#define N_LEVELS 2
// Size of square patches in the disflow dense grid
#define PATCH_SIZE 8
// Center point of square patch
#define PATCH_CENTER ((PATCH_SIZE + 1) >> 1)
// Step size between patches, lower value means greater patch overlap
#define PATCH_STEP 1
// Minimum size of border padding for disflow
#define MIN_PAD 7
// Warp error convergence threshold for disflow
#define DISFLOW_ERROR_TR 0.01
// Max number of iterations if warp convergence is not found
#define DISFLOW_MAX_ITR 10
// Struct for an image pyramid
typedef struct {
int n_levels;
int pad_size;
int has_gradient;
int widths[N_LEVELS];
int heights[N_LEVELS];
int strides[N_LEVELS];
int level_loc[N_LEVELS];
unsigned char *level_buffer;
double *level_dx_buffer;
double *level_dy_buffer;
} ImagePyramid;
int av1_is_enough_erroradvantage(double best_erroradvantage, int params_cost) {
return best_erroradvantage < erroradv_tr &&
best_erroradvantage * params_cost < erroradv_prod_tr;
}
static void convert_to_params(const double *params, int32_t *model) {
int i;
int alpha_present = 0;
model[0] = (int32_t)floor(params[0] * (1 << GM_TRANS_PREC_BITS) + 0.5);
model[1] = (int32_t)floor(params[1] * (1 << GM_TRANS_PREC_BITS) + 0.5);
model[0] = (int32_t)clamp(model[0], GM_TRANS_MIN, GM_TRANS_MAX) *
GM_TRANS_DECODE_FACTOR;
model[1] = (int32_t)clamp(model[1], GM_TRANS_MIN, GM_TRANS_MAX) *
GM_TRANS_DECODE_FACTOR;
for (i = 2; i < 6; ++i) {
const int diag_value = ((i == 2 || i == 5) ? (1 << GM_ALPHA_PREC_BITS) : 0);
model[i] = (int32_t)floor(params[i] * (1 << GM_ALPHA_PREC_BITS) + 0.5);
model[i] =
(int32_t)clamp(model[i] - diag_value, GM_ALPHA_MIN, GM_ALPHA_MAX);
alpha_present |= (model[i] != 0);
model[i] = (model[i] + diag_value) * GM_ALPHA_DECODE_FACTOR;
}
for (; i < 8; ++i) {
model[i] = (int32_t)floor(params[i] * (1 << GM_ROW3HOMO_PREC_BITS) + 0.5);
model[i] = (int32_t)clamp(model[i], GM_ROW3HOMO_MIN, GM_ROW3HOMO_MAX) *
GM_ROW3HOMO_DECODE_FACTOR;
alpha_present |= (model[i] != 0);
}
if (!alpha_present) {
if (abs(model[0]) < MIN_TRANS_THRESH && abs(model[1]) < MIN_TRANS_THRESH) {
model[0] = 0;
model[1] = 0;
}
}
}
void av1_convert_model_to_params(const double *params,
WarpedMotionParams *model) {
convert_to_params(params, model->wmmat);
model->wmtype = get_wmtype(model);
model->invalid = 0;
}
// Adds some offset to a global motion parameter and handles
// all of the necessary precision shifts, clamping, and
// zero-centering.
static int32_t add_param_offset(int param_index, int32_t param_value,
int32_t offset) {
const int scale_vals[3] = { GM_TRANS_PREC_DIFF, GM_ALPHA_PREC_DIFF,
GM_ROW3HOMO_PREC_DIFF };
const int clamp_vals[3] = { GM_TRANS_MAX, GM_ALPHA_MAX, GM_ROW3HOMO_MAX };
// type of param: 0 - translation, 1 - affine, 2 - homography
const int param_type = (param_index < 2 ? 0 : (param_index < 6 ? 1 : 2));
const int is_one_centered = (param_index == 2 || param_index == 5);
// Make parameter zero-centered and offset the shift that was done to make
// it compatible with the warped model
param_value = (param_value - (is_one_centered << WARPEDMODEL_PREC_BITS)) >>
scale_vals[param_type];
// Add desired offset to the rescaled/zero-centered parameter
param_value += offset;
// Clamp the parameter so it does not overflow the number of bits allotted
// to it in the bitstream
param_value = (int32_t)clamp(param_value, -clamp_vals[param_type],
clamp_vals[param_type]);
// Rescale the parameter to WARPEDMODEL_PRECISION_BITS so it is compatible
// with the warped motion library
param_value *= (1 << scale_vals[param_type]);
// Undo the zero-centering step if necessary
return param_value + (is_one_centered << WARPEDMODEL_PREC_BITS);
}
static void force_wmtype(WarpedMotionParams *wm, TransformationType wmtype) {
switch (wmtype) {
case IDENTITY:
wm->wmmat[0] = 0;
wm->wmmat[1] = 0;
AOM_FALLTHROUGH_INTENDED;
case TRANSLATION:
wm->wmmat[2] = 1 << WARPEDMODEL_PREC_BITS;
wm->wmmat[3] = 0;
AOM_FALLTHROUGH_INTENDED;
case ROTZOOM:
wm->wmmat[4] = -wm->wmmat[3];
wm->wmmat[5] = wm->wmmat[2];
AOM_FALLTHROUGH_INTENDED;
case AFFINE: break;
default: assert(0);
}
wm->wmtype = wmtype;
}
#if CONFIG_AV1_HIGHBITDEPTH
static int64_t highbd_warp_error(
WarpedMotionParams *wm, const uint16_t *const ref, int width, int height,
int stride, const uint16_t *const dst, int p_col, int p_row, int p_width,
int p_height, int p_stride, int subsampling_x, int subsampling_y, int bd,
int64_t best_error, uint8_t *segment_map, int segment_map_stride) {
int64_t gm_sumerr = 0;
const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK);
const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK);
uint16_t tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK];
ConvolveParams conv_params = get_conv_params(0, 0, bd);
conv_params.use_dist_wtd_comp_avg = 0;
for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) {
for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) {
int seg_x = j >> WARP_ERROR_BLOCK_LOG;
int seg_y = i >> WARP_ERROR_BLOCK_LOG;
// Only compute the error if this block contains inliers from the motion
// model
if (!segment_map[seg_y * segment_map_stride + seg_x]) continue;
// avoid warping extra 8x8 blocks in the padded region of the frame
// when p_width and p_height are not multiples of WARP_ERROR_BLOCK
const int warp_w = AOMMIN(error_bsize_w, p_col + p_width - j);
const int warp_h = AOMMIN(error_bsize_h, p_row + p_height - i);
highbd_warp_plane(wm, ref, width, height, stride, tmp, j, i, warp_w,
warp_h, WARP_ERROR_BLOCK, subsampling_x, subsampling_y,
bd, &conv_params);
gm_sumerr += av1_calc_highbd_frame_error(tmp, WARP_ERROR_BLOCK,
dst + j + i * p_stride, warp_w,
warp_h, p_stride, bd);
if (gm_sumerr > best_error) return INT64_MAX;
}
}
return gm_sumerr;
}
#endif
static int64_t warp_error(WarpedMotionParams *wm, const uint8_t *const ref,
int width, int height, int stride,
const uint8_t *const dst, int p_col, int p_row,
int p_width, int p_height, int p_stride,
int subsampling_x, int subsampling_y,
int64_t best_error, uint8_t *segment_map,
int segment_map_stride) {
int64_t gm_sumerr = 0;
int warp_w, warp_h;
const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK);
const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK);
DECLARE_ALIGNED(16, uint8_t, tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK]);
ConvolveParams conv_params = get_conv_params(0, 0, 8);
conv_params.use_dist_wtd_comp_avg = 0;
for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) {
for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) {
int seg_x = j >> WARP_ERROR_BLOCK_LOG;
int seg_y = i >> WARP_ERROR_BLOCK_LOG;
// Only compute the error if this block contains inliers from the motion
// model
if (!segment_map[seg_y * segment_map_stride + seg_x]) continue;
// avoid warping extra 8x8 blocks in the padded region of the frame
// when p_width and p_height are not multiples of WARP_ERROR_BLOCK
warp_w = AOMMIN(error_bsize_w, p_col + p_width - j);
warp_h = AOMMIN(error_bsize_h, p_row + p_height - i);
warp_plane(wm, ref, width, height, stride, tmp, j, i, warp_w, warp_h,
WARP_ERROR_BLOCK, subsampling_x, subsampling_y, &conv_params);
gm_sumerr +=
av1_calc_frame_error(tmp, WARP_ERROR_BLOCK, dst + j + i * p_stride,
warp_w, warp_h, p_stride);
if (gm_sumerr > best_error) return INT64_MAX;
}
}
return gm_sumerr;
}
int64_t av1_warp_error(WarpedMotionParams *wm, int use_hbd, int bd,
const uint8_t *ref, int width, int height, int stride,
uint8_t *dst, int p_col, int p_row, int p_width,
int p_height, int p_stride, int subsampling_x,
int subsampling_y, int64_t best_error,
uint8_t *segment_map, int segment_map_stride) {
if (wm->wmtype <= AFFINE)
if (!av1_get_shear_params(wm)) return INT64_MAX;
#if CONFIG_AV1_HIGHBITDEPTH
if (use_hbd)
return highbd_warp_error(wm, CONVERT_TO_SHORTPTR(ref), width, height,
stride, CONVERT_TO_SHORTPTR(dst), p_col, p_row,
p_width, p_height, p_stride, subsampling_x,
subsampling_y, bd, best_error, segment_map,
segment_map_stride);
#endif
(void)use_hbd;
(void)bd;
return warp_error(wm, ref, width, height, stride, dst, p_col, p_row, p_width,
p_height, p_stride, subsampling_x, subsampling_y,
best_error, segment_map, segment_map_stride);
}
// Factors used to calculate the thresholds for av1_warp_error
static double thresh_factors[GM_REFINEMENT_COUNT] = { 1.25, 1.20, 1.15, 1.10,
1.05 };
static INLINE int64_t calc_approx_erroradv_threshold(
double scaling_factor, int64_t erroradv_threshold) {
return erroradv_threshold <
(int64_t)(((double)INT64_MAX / scaling_factor) + 0.5)
? (int64_t)(scaling_factor * erroradv_threshold + 0.5)
: INT64_MAX;
}
int64_t av1_refine_integerized_param(
WarpedMotionParams *wm, TransformationType wmtype, int use_hbd, int bd,
uint8_t *ref, int r_width, int r_height, int r_stride, uint8_t *dst,
int d_width, int d_height, int d_stride, int n_refinements,
int64_t best_frame_error, uint8_t *segment_map, int segment_map_stride,
int64_t erroradv_threshold) {
static const int max_trans_model_params[TRANS_TYPES] = { 0, 2, 4, 6 };
const int border = ERRORADV_BORDER;
int i = 0, p;
int n_params = max_trans_model_params[wmtype];
int32_t *param_mat = wm->wmmat;
int64_t step_error, best_error;
int32_t step;
int32_t *param;
int32_t curr_param;
int32_t best_param;
force_wmtype(wm, wmtype);
best_error =
av1_warp_error(wm, use_hbd, bd, ref, r_width, r_height, r_stride,
dst + border * d_stride + border, border, border,
d_width - 2 * border, d_height - 2 * border, d_stride, 0,
0, best_frame_error, segment_map, segment_map_stride);
best_error = AOMMIN(best_error, best_frame_error);
step = 1 << (n_refinements - 1);
for (i = 0; i < n_refinements; i++, step >>= 1) {
int64_t error_adv_thresh =
calc_approx_erroradv_threshold(thresh_factors[i], erroradv_threshold);
for (p = 0; p < n_params; ++p) {
int step_dir = 0;
// Skip searches for parameters that are forced to be 0
param = param_mat + p;
curr_param = *param;
best_param = curr_param;
// look to the left
*param = add_param_offset(p, curr_param, -step);
step_error =
av1_warp_error(wm, use_hbd, bd, ref, r_width, r_height, r_stride,
dst + border * d_stride + border, border, border,
d_width - 2 * border, d_height - 2 * border, d_stride,
0, 0, AOMMIN(best_error, error_adv_thresh),
segment_map, segment_map_stride);
if (step_error < best_error) {
best_error = step_error;
best_param = *param;
step_dir = -1;
}
// look to the right
*param = add_param_offset(p, curr_param, step);
step_error =
av1_warp_error(wm, use_hbd, bd, ref, r_width, r_height, r_stride,
dst + border * d_stride + border, border, border,
d_width - 2 * border, d_height - 2 * border, d_stride,
0, 0, AOMMIN(best_error, error_adv_thresh),
segment_map, segment_map_stride);
if (step_error < best_error) {
best_error = step_error;
best_param = *param;
step_dir = 1;
}
*param = best_param;
// look to the direction chosen above repeatedly until error increases
// for the biggest step size
while (step_dir) {
*param = add_param_offset(p, best_param, step * step_dir);
step_error =
av1_warp_error(wm, use_hbd, bd, ref, r_width, r_height, r_stride,
dst + border * d_stride + border, border, border,
d_width - 2 * border, d_height - 2 * border,
d_stride, 0, 0, AOMMIN(best_error, error_adv_thresh),
segment_map, segment_map_stride);
if (step_error < best_error) {
best_error = step_error;
best_param = *param;
} else {
*param = best_param;
step_dir = 0;
}
}
}
}
force_wmtype(wm, wmtype);
wm->wmtype = get_wmtype(wm);
return best_error;
}
unsigned char *av1_downconvert_frame(YV12_BUFFER_CONFIG *frm, int bit_depth) {
int i, j;
uint16_t *orig_buf = CONVERT_TO_SHORTPTR(frm->y_buffer);
uint8_t *buf_8bit = frm->y_buffer_8bit;
assert(buf_8bit);
if (!frm->buf_8bit_valid) {
for (i = 0; i < frm->y_height; ++i) {
for (j = 0; j < frm->y_width; ++j) {
buf_8bit[i * frm->y_stride + j] =
orig_buf[i * frm->y_stride + j] >> (bit_depth - 8);
}
}
frm->buf_8bit_valid = 1;
}
return buf_8bit;
}
static void get_inliers_from_indices(MotionModel *params,
int *correspondences) {
int *inliers_tmp = (int *)aom_malloc(2 * MAX_CORNERS * sizeof(*inliers_tmp));
memset(inliers_tmp, 0, 2 * MAX_CORNERS * sizeof(*inliers_tmp));
for (int i = 0; i < params->num_inliers; i++) {
int index = params->inliers[i];
inliers_tmp[2 * i] = correspondences[4 * index];
inliers_tmp[2 * i + 1] = correspondences[4 * index + 1];
}
memcpy(params->inliers, inliers_tmp, sizeof(*inliers_tmp) * 2 * MAX_CORNERS);
aom_free(inliers_tmp);
}
#define FEAT_COUNT_TR 3
#define SEG_COUNT_TR 0.40
void av1_compute_feature_segmentation_map(uint8_t *segment_map, int width,
int height, int *inliers,
int num_inliers) {
int seg_count = 0;
memset(segment_map, 0, sizeof(*segment_map) * width * height);
for (int i = 0; i < num_inliers; i++) {
int x = inliers[i * 2];
int y = inliers[i * 2 + 1];
int seg_x = x >> WARP_ERROR_BLOCK_LOG;
int seg_y = y >> WARP_ERROR_BLOCK_LOG;
segment_map[seg_y * width + seg_x] += 1;
}
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
uint8_t feat_count = segment_map[i * width + j];
segment_map[i * width + j] = (feat_count >= FEAT_COUNT_TR);
seg_count += (segment_map[i * width + j]);
}
}
// If this motion does not make up a large enough portion of the frame,
// use the unsegmented version of the error metric
if (seg_count < (width * height * SEG_COUNT_TR))
memset(segment_map, 1, width * height * sizeof(*segment_map));
}
static int compute_global_motion_feature_based(
TransformationType type, unsigned char *src_buffer, int src_width,
int src_height, int src_stride, int *src_corners, int num_src_corners,
YV12_BUFFER_CONFIG *ref, int bit_depth, int *num_inliers_by_motion,
MotionModel *params_by_motion, int num_motions) {
int i;
int num_ref_corners;
int num_correspondences;
int *correspondences;
int ref_corners[2 * MAX_CORNERS];
unsigned char *ref_buffer = ref->y_buffer;
RansacFunc ransac = av1_get_ransac_type(type);
if (ref->flags & YV12_FLAG_HIGHBITDEPTH) {
ref_buffer = av1_downconvert_frame(ref, bit_depth);
}
num_ref_corners =
av1_fast_corner_detect(ref_buffer, ref->y_width, ref->y_height,
ref->y_stride, ref_corners, MAX_CORNERS);
// find correspondences between the two images
correspondences =
(int *)malloc(num_src_corners * 4 * sizeof(*correspondences));
num_correspondences = av1_determine_correspondence(
src_buffer, (int *)src_corners, num_src_corners, ref_buffer,
(int *)ref_corners, num_ref_corners, src_width, src_height, src_stride,
ref->y_stride, correspondences);
ransac(correspondences, num_correspondences, num_inliers_by_motion,
params_by_motion, num_motions);
// Set num_inliers = 0 for motions with too few inliers so they are ignored.
for (i = 0; i < num_motions; ++i) {
if (num_inliers_by_motion[i] < MIN_INLIER_PROB * num_correspondences ||
num_correspondences == 0) {
num_inliers_by_motion[i] = 0;
} else {
get_inliers_from_indices(&params_by_motion[i], correspondences);
}
}
free(correspondences);
// Return true if any one of the motions has inliers.
for (i = 0; i < num_motions; ++i) {
if (num_inliers_by_motion[i] > 0) return 1;
}
return 0;
}
// Don't use points around the frame border since they are less reliable
static INLINE int valid_point(int x, int y, int width, int height) {
return (x > (PATCH_SIZE + PATCH_CENTER)) &&
(x < (width - PATCH_SIZE - PATCH_CENTER)) &&
(y > (PATCH_SIZE + PATCH_CENTER)) &&
(y < (height - PATCH_SIZE - PATCH_CENTER));
}
static int determine_disflow_correspondence(int *frm_corners,
int num_frm_corners, double *flow_u,
double *flow_v, int width,
int height, int stride,
double *correspondences) {
int num_correspondences = 0;
int x, y;
for (int i = 0; i < num_frm_corners; ++i) {
x = frm_corners[2 * i];
y = frm_corners[2 * i + 1];
if (valid_point(x, y, width, height)) {
correspondences[4 * num_correspondences] = x;
correspondences[4 * num_correspondences + 1] = y;
correspondences[4 * num_correspondences + 2] = x + flow_u[y * stride + x];
correspondences[4 * num_correspondences + 3] = y + flow_v[y * stride + x];
num_correspondences++;
}
}
return num_correspondences;
}
static double getCubicValue(double p[4], double x) {
return p[1] + 0.5 * x *
(p[2] - p[0] +
x * (2.0 * p[0] - 5.0 * p[1] + 4.0 * p[2] - p[3] +
x * (3.0 * (p[1] - p[2]) + p[3] - p[0])));
}
static void get_subcolumn(unsigned char *ref, double col[4], int stride, int x,
int y_start) {
int i;
for (i = 0; i < 4; ++i) {
col[i] = ref[(i + y_start) * stride + x];
}
}
static double bicubic(unsigned char *ref, double x, double y, int stride) {
double arr[4];
int k;
int i = (int)x;
int j = (int)y;
for (k = 0; k < 4; ++k) {
double arr_temp[4];
get_subcolumn(ref, arr_temp, stride, i + k - 1, j - 1);
arr[k] = getCubicValue(arr_temp, y - j);
}
return getCubicValue(arr, x - i);
}
// Interpolate a warped block using bicubic interpolation when possible
static unsigned char interpolate(unsigned char *ref, double x, double y,
int width, int height, int stride) {
if (x < 0 && y < 0)
return ref[0];
else if (x < 0 && y > height - 1)
return ref[(height - 1) * stride];
else if (x > width - 1 && y < 0)
return ref[width - 1];
else if (x > width - 1 && y > height - 1)
return ref[(height - 1) * stride + (width - 1)];
else if (x < 0) {
int v;
int i = (int)y;
double a = y - i;
if (y > 1 && y < height - 2) {
double arr[4];
get_subcolumn(ref, arr, stride, 0, i - 1);
return clamp((int)(getCubicValue(arr, a) + 0.5), 0, 255);
}
v = (int)(ref[i * stride] * (1 - a) + ref[(i + 1) * stride] * a + 0.5);
return clamp(v, 0, 255);
} else if (y < 0) {
int v;
int j = (int)x;
double b = x - j;
if (x > 1 && x < width - 2) {
double arr[4] = { ref[j - 1], ref[j], ref[j + 1], ref[j + 2] };
return clamp((int)(getCubicValue(arr, b) + 0.5), 0, 255);
}
v = (int)(ref[j] * (1 - b) + ref[j + 1] * b + 0.5);
return clamp(v, 0, 255);
} else if (x > width - 1) {
int v;
int i = (int)y;
double a = y - i;
if (y > 1 && y < height - 2) {
double arr[4];
get_subcolumn(ref, arr, stride, width - 1, i - 1);
return clamp((int)(getCubicValue(arr, a) + 0.5), 0, 255);
}
v = (int)(ref[i * stride + width - 1] * (1 - a) +
ref[(i + 1) * stride + width - 1] * a + 0.5);
return clamp(v, 0, 255);
} else if (y > height - 1) {
int v;
int j = (int)x;
double b = x - j;
if (x > 1 && x < width - 2) {
int row = (height - 1) * stride;
double arr[4] = { ref[row + j - 1], ref[row + j], ref[row + j + 1],
ref[row + j + 2] };
return clamp((int)(getCubicValue(arr, b) + 0.5), 0, 255);
}
v = (int)(ref[(height - 1) * stride + j] * (1 - b) +
ref[(height - 1) * stride + j + 1] * b + 0.5);
return clamp(v, 0, 255);
} else if (x > 1 && y > 1 && x < width - 2 && y < height - 2) {
return clamp((int)(bicubic(ref, x, y, stride) + 0.5), 0, 255);
} else {
int i = (int)y;
int j = (int)x;
double a = y - i;
double b = x - j;
int v = (int)(ref[i * stride + j] * (1 - a) * (1 - b) +
ref[i * stride + j + 1] * (1 - a) * b +
ref[(i + 1) * stride + j] * a * (1 - b) +
ref[(i + 1) * stride + j + 1] * a * b);
return clamp(v, 0, 255);
}
}
// Warps a block using flow vector [u, v] and computes the mse
static double compute_warp_and_error(unsigned char *ref, unsigned char *frm,
int width, int height, int stride, int x,
int y, double u, double v, int16_t *dt) {
int i, j;
unsigned char warped;
double x_w, y_w;
double mse = 0;
int16_t err = 0;
for (i = y; i < y + PATCH_SIZE; ++i)
for (j = x; j < x + PATCH_SIZE; ++j) {
x_w = (double)j + u;
y_w = (double)i + v;
warped = interpolate(ref, x_w, y_w, width, height, stride);
err = warped - frm[j + i * stride];
mse += err * err;
dt[(i - y) * PATCH_SIZE + (j - x)] = err;
}
mse /= (PATCH_SIZE * PATCH_SIZE);
return mse;
}
// Computes the components of the system of equations used to solve for
// a flow vector. This includes:
// 1.) The hessian matrix for optical flow. This matrix is in the
// form of:
//
// M = |sum(dx * dx) sum(dx * dy)|
// |sum(dx * dy) sum(dy * dy)|
//
// 2.) b = |sum(dx * dt)|
// |sum(dy * dt)|
// Where the sums are computed over a square window of PATCH_SIZE.
static INLINE void compute_flow_system(const double *dx, int dx_stride,
const double *dy, int dy_stride,
const int16_t *dt, int dt_stride,
double *M, double *b) {
for (int i = 0; i < PATCH_SIZE; i++) {
for (int j = 0; j < PATCH_SIZE; j++) {
M[0] += dx[i * dx_stride + j] * dx[i * dx_stride + j];
M[1] += dx[i * dx_stride + j] * dy[i * dy_stride + j];
M[3] += dy[i * dy_stride + j] * dy[i * dy_stride + j];
b[0] += dx[i * dx_stride + j] * dt[i * dt_stride + j];
b[1] += dy[i * dy_stride + j] * dt[i * dt_stride + j];
}
}
M[2] = M[1];
}
// Solves a general Mx = b where M is a 2x2 matrix and b is a 2x1 matrix
static INLINE void solve_2x2_system(const double *M, const double *b,
double *output_vec) {
double M_0 = M[0];
double M_3 = M[3];
double det = (M_0 * M_3) - (M[1] * M[2]);
if (det < 1e-5) {
// Handle singular matrix
// TODO(sarahparker) compare results using pseudo inverse instead
M_0 += 1e-10;
M_3 += 1e-10;
det = (M_0 * M_3) - (M[1] * M[2]);
}
const double det_inv = 1 / det;
const double mult_b0 = det_inv * b[0];
const double mult_b1 = det_inv * b[1];
output_vec[0] = M_3 * mult_b0 - M[1] * mult_b1;
output_vec[1] = -M[2] * mult_b0 + M_0 * mult_b1;
}
/*
static INLINE void image_difference(const uint8_t *src, int src_stride,
const uint8_t *ref, int ref_stride,
int16_t *dst, int dst_stride, int height,
int width) {
const int block_unit = 8;
// Take difference in 8x8 blocks to make use of optimized diff function
for (int i = 0; i < height; i += block_unit) {
for (int j = 0; j < width; j += block_unit) {
aom_subtract_block(block_unit, block_unit, dst + i * dst_stride + j,
dst_stride, src + i * src_stride + j, src_stride,
ref + i * ref_stride + j, ref_stride);
}
}
}
*/
// Compute an image gradient using a sobel filter.
// If dir == 1, compute the x gradient. If dir == 0, compute y. This function
// assumes the images have been padded so that they can be processed in units
// of 8.
static INLINE void sobel_xy_image_gradient(const uint8_t *src, int src_stride,
double *dst, int dst_stride,
int height, int width, int dir) {
double norm = 1.0;
// TODO(sarahparker) experiment with doing this over larger block sizes
const int block_unit = 8;
// Filter in 8x8 blocks to eventually make use of optimized convolve function
for (int i = 0; i < height; i += block_unit) {
for (int j = 0; j < width; j += block_unit) {
av1_convolve_2d_sobel_y_c(src + i * src_stride + j, src_stride,
dst + i * dst_stride + j, dst_stride,
block_unit, block_unit, dir, norm);
}
}
}
static ImagePyramid *alloc_pyramid(int width, int height, int pad_size,
int compute_gradient) {
ImagePyramid *pyr = aom_malloc(sizeof(*pyr));
pyr->has_gradient = compute_gradient;
// 2 * width * height is the upper bound for a buffer that fits
// all pyramid levels + padding for each level
const int buffer_size = sizeof(*pyr->level_buffer) * 2 * width * height +
(width + 2 * pad_size) * 2 * pad_size * N_LEVELS;
pyr->level_buffer = aom_malloc(buffer_size);
memset(pyr->level_buffer, 0, buffer_size);
if (compute_gradient) {
const int gradient_size =
sizeof(*pyr->level_dx_buffer) * 2 * width * height +
(width + 2 * pad_size) * 2 * pad_size * N_LEVELS;
pyr->level_dx_buffer = aom_malloc(gradient_size);
pyr->level_dy_buffer = aom_malloc(gradient_size);
memset(pyr->level_dx_buffer, 0, gradient_size);
memset(pyr->level_dy_buffer, 0, gradient_size);
}
return pyr;
}
static void free_pyramid(ImagePyramid *pyr) {
aom_free(pyr->level_buffer);
if (pyr->has_gradient) {
aom_free(pyr->level_dx_buffer);
aom_free(pyr->level_dy_buffer);
}
aom_free(pyr);
}
static INLINE void update_level_dims(ImagePyramid *frm_pyr, int level) {
frm_pyr->widths[level] = frm_pyr->widths[level - 1] >> 1;
frm_pyr->heights[level] = frm_pyr->heights[level - 1] >> 1;
frm_pyr->strides[level] = frm_pyr->widths[level] + 2 * frm_pyr->pad_size;
// Point the beginning of the next level buffer to the correct location inside
// the padded border
frm_pyr->level_loc[level] =
frm_pyr->level_loc[level - 1] +
frm_pyr->strides[level - 1] *
(2 * frm_pyr->pad_size + frm_pyr->heights[level - 1]);
}
// Compute coarse to fine pyramids for a frame
static void compute_flow_pyramids(unsigned char *frm, const int frm_width,
const int frm_height, const int frm_stride,
int n_levels, int pad_size, int compute_grad,
ImagePyramid *frm_pyr) {
int cur_width, cur_height, cur_stride, cur_loc;
assert((frm_width >> n_levels) > 0);
assert((frm_height >> n_levels) > 0);
// Initialize first level
frm_pyr->n_levels = n_levels;
frm_pyr->pad_size = pad_size;
frm_pyr->widths[0] = frm_width;
frm_pyr->heights[0] = frm_height;
frm_pyr->strides[0] = frm_width + 2 * frm_pyr->pad_size;
// Point the beginning of the level buffer to the location inside
// the padded border
frm_pyr->level_loc[0] =
frm_pyr->strides[0] * frm_pyr->pad_size + frm_pyr->pad_size;
// This essentially copies the original buffer into the pyramid buffer
// without the original padding
av1_resize_plane(frm, frm_height, frm_width, frm_stride,
frm_pyr->level_buffer + frm_pyr->level_loc[0],
frm_pyr->heights[0], frm_pyr->widths[0],
frm_pyr->strides[0]);
if (compute_grad) {
cur_width = frm_pyr->widths[0];
cur_height = frm_pyr->heights[0];
cur_stride = frm_pyr->strides[0];
cur_loc = frm_pyr->level_loc[0];
assert(frm_pyr->has_gradient && frm_pyr->level_dx_buffer != NULL &&
frm_pyr->level_dy_buffer != NULL);
// Computation x gradient
sobel_xy_image_gradient(frm_pyr->level_buffer + cur_loc, cur_stride,
frm_pyr->level_dx_buffer + cur_loc, cur_stride,
cur_height, cur_width, 1);
// Computation y gradient
sobel_xy_image_gradient(frm_pyr->level_buffer + cur_loc, cur_stride,
frm_pyr->level_dy_buffer + cur_loc, cur_stride,
cur_height, cur_width, 0);
}
// Start at the finest level and resize down to the coarsest level
for (int level = 1; level < n_levels; ++level) {
update_level_dims(frm_pyr, level);
cur_width = frm_pyr->widths[level];
cur_height = frm_pyr->heights[level];
cur_stride = frm_pyr->strides[level];
cur_loc = frm_pyr->level_loc[level];
av1_resize_plane(frm_pyr->level_buffer + frm_pyr->level_loc[level - 1],
frm_pyr->heights[level - 1], frm_pyr->widths[level - 1],
frm_pyr->strides[level - 1],
frm_pyr->level_buffer + cur_loc, cur_height, cur_width,
cur_stride);
if (compute_grad) {
assert(frm_pyr->has_gradient && frm_pyr->level_dx_buffer != NULL &&
frm_pyr->level_dy_buffer != NULL);
// Computation x gradient
sobel_xy_image_gradient(frm_pyr->level_buffer + cur_loc, cur_stride,
frm_pyr->level_dx_buffer + cur_loc, cur_stride,
cur_height, cur_width, 1);
// Computation y gradient
sobel_xy_image_gradient(frm_pyr->level_buffer + cur_loc, cur_stride,
frm_pyr->level_dy_buffer + cur_loc, cur_stride,
cur_height, cur_width, 0);
}
}
}
static INLINE void compute_flow_at_point(unsigned char *frm, unsigned char *ref,
double *dx, double *dy, int x, int y,
int width, int height, int stride,
double *u, double *v) {
double M[4] = { 0 };
double b[2] = { 0 };
double tmp_output_vec[2] = { 0 };
double error = 0;
int16_t dt[PATCH_SIZE * PATCH_SIZE];
double o_u = *u;
double o_v = *v;
for (int itr = 0; itr < DISFLOW_MAX_ITR; itr++) {
error = compute_warp_and_error(ref, frm, width, height, stride, x, y, *u,
*v, dt);
if (error <= DISFLOW_ERROR_TR) break;
compute_flow_system(dx, stride, dy, stride, dt, PATCH_SIZE, M, b);
solve_2x2_system(M, b, tmp_output_vec);
*u += tmp_output_vec[0];
*v += tmp_output_vec[1];
}
if (fabs(*u - o_u) > PATCH_SIZE || fabs(*v - o_u) > PATCH_SIZE) {
*u = o_u;
*v = o_v;
}
}
// make sure flow_u and flow_v start at 0
static void compute_flow_field(ImagePyramid *frm_pyr, ImagePyramid *ref_pyr,
double *flow_u, double *flow_v) {
int cur_width, cur_height, cur_stride, cur_loc, patch_loc, patch_center;
double *u_upscale =
aom_malloc(frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_u));
double *v_upscale =
aom_malloc(frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_v));
assert(frm_pyr->n_levels == ref_pyr->n_levels);
// Compute flow field from coarsest to finest level of the pyramid
for (int level = frm_pyr->n_levels - 1; level >= 0; --level) {
cur_width = frm_pyr->widths[level];
cur_height = frm_pyr->heights[level];
cur_stride = frm_pyr->strides[level];
cur_loc = frm_pyr->level_loc[level];
for (int i = PATCH_SIZE; i < cur_height - PATCH_SIZE; i += PATCH_STEP) {
for (int j = PATCH_SIZE; j < cur_width - PATCH_SIZE; j += PATCH_STEP) {
patch_loc = i * cur_stride + j;
patch_center = patch_loc + PATCH_CENTER * cur_stride + PATCH_CENTER;
compute_flow_at_point(frm_pyr->level_buffer + cur_loc,
ref_pyr->level_buffer + cur_loc,
frm_pyr->level_dx_buffer + cur_loc + patch_loc,
frm_pyr->level_dy_buffer + cur_loc + patch_loc, j,
i, cur_width, cur_height, cur_stride,
flow_u + patch_center, flow_v + patch_center);
}
}
// TODO(sarahparker) Replace this with upscale function in resize.c
if (level > 0) {
int h_upscale = frm_pyr->heights[level - 1];
int w_upscale = frm_pyr->widths[level - 1];
int s_upscale = frm_pyr->strides[level - 1];
for (int i = 0; i < h_upscale; ++i) {
for (int j = 0; j < w_upscale; ++j) {
u_upscale[j + i * s_upscale] =
flow_u[(int)(j >> 1) + (int)(i >> 1) * cur_stride];
v_upscale[j + i * s_upscale] =
flow_v[(int)(j >> 1) + (int)(i >> 1) * cur_stride];
}
}
memcpy(flow_u, u_upscale,
frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_u));
memcpy(flow_v, v_upscale,
frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_v));
}
}
aom_free(u_upscale);
aom_free(v_upscale);
}
static int compute_global_motion_disflow_based(
TransformationType type, unsigned char *frm_buffer, int frm_width,
int frm_height, int frm_stride, int *frm_corners, int num_frm_corners,
YV12_BUFFER_CONFIG *ref, int bit_depth, int *num_inliers_by_motion,
MotionModel *params_by_motion, int num_motions) {
unsigned char *ref_buffer = ref->y_buffer;
const int ref_width = ref->y_width;
const int ref_height = ref->y_height;
const int pad_size = AOMMAX(PATCH_SIZE, MIN_PAD);
int num_correspondences;
double *correspondences;
RansacFuncDouble ransac = av1_get_ransac_double_prec_type(type);
assert(frm_width == ref_width);
assert(frm_height == ref_height);
// Ensure the number of pyramid levels will work with the frame resolution
const int msb =
frm_width < frm_height ? get_msb(frm_width) : get_msb(frm_height);
const int n_levels = AOMMIN(msb, N_LEVELS);
if (ref->flags & YV12_FLAG_HIGHBITDEPTH) {
ref_buffer = av1_downconvert_frame(ref, bit_depth);
}
// TODO(sarahparker) We will want to do the source pyramid computation
// outside of this function so it doesn't get recomputed for every
// reference. We also don't need to compute every pyramid level for the
// reference in advance, since lower levels can be overwritten once their
// flow field is computed and upscaled. I'll add these optimizations
// once the full implementation is working.
// Allocate frm image pyramids
int compute_gradient = 1;
ImagePyramid *frm_pyr =
alloc_pyramid(frm_width, frm_height, pad_size, compute_gradient);
compute_flow_pyramids(frm_buffer, frm_width, frm_height, frm_stride, n_levels,
pad_size, compute_gradient, frm_pyr);
// Allocate ref image pyramids
compute_gradient = 0;
ImagePyramid *ref_pyr =
alloc_pyramid(ref_width, ref_height, pad_size, compute_gradient);
compute_flow_pyramids(ref_buffer, ref_width, ref_height, ref->y_stride,
n_levels, pad_size, compute_gradient, ref_pyr);
double *flow_u =
aom_malloc(frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_u));
double *flow_v =
aom_malloc(frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_v));
memset(flow_u, 0,
frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_u));
memset(flow_v, 0,
frm_pyr->strides[0] * frm_pyr->heights[0] * sizeof(*flow_v));
compute_flow_field(frm_pyr, ref_pyr, flow_u, flow_v);
// find correspondences between the two images using the flow field
correspondences = aom_malloc(num_frm_corners * 4 * sizeof(*correspondences));
num_correspondences = determine_disflow_correspondence(
frm_corners, num_frm_corners, flow_u, flow_v, frm_width, frm_height,
frm_pyr->strides[0], correspondences);
ransac(correspondences, num_correspondences, num_inliers_by_motion,
params_by_motion, num_motions);
free_pyramid(frm_pyr);
free_pyramid(ref_pyr);
aom_free(correspondences);
aom_free(flow_u);
aom_free(flow_v);
// Set num_inliers = 0 for motions with too few inliers so they are ignored.
for (int i = 0; i < num_motions; ++i) {
if (num_inliers_by_motion[i] < MIN_INLIER_PROB * num_correspondences) {
num_inliers_by_motion[i] = 0;
}
}
// Return true if any one of the motions has inliers.
for (int i = 0; i < num_motions; ++i) {
if (num_inliers_by_motion[i] > 0) return 1;
}
return 0;
}
int av1_compute_global_motion(TransformationType type,
unsigned char *src_buffer, int src_width,
int src_height, int src_stride, int *src_corners,
int num_src_corners, YV12_BUFFER_CONFIG *ref,
int bit_depth,
GlobalMotionEstimationType gm_estimation_type,
int *num_inliers_by_motion,
MotionModel *params_by_motion, int num_motions) {
switch (gm_estimation_type) {
case GLOBAL_MOTION_FEATURE_BASED:
return compute_global_motion_feature_based(
type, src_buffer, src_width, src_height, src_stride, src_corners,
num_src_corners, ref, bit_depth, num_inliers_by_motion,
params_by_motion, num_motions);
case GLOBAL_MOTION_DISFLOW_BASED:
return compute_global_motion_disflow_based(
type, src_buffer, src_width, src_height, src_stride, src_corners,
num_src_corners, ref, bit_depth, num_inliers_by_motion,
params_by_motion, num_motions);
default: assert(0 && "Unknown global motion estimation type");
}
return 0;
}