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fixed build warnings on Windows

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pull/28/merge
Vadim Pisarevsky 13 years ago
parent 1686b0d9d3
commit e5f9f97954
3 changed files with 39 additions and 39 deletions
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  1. 68
      modules/video/src/simpleflow.cpp
  2. 4
      modules/video/src/simpleflow.hpp
  3. 6
      modules/video/test/test_simpleflow.cpp

68
modules/video/src/simpleflow.cpp
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@ -74,7 +74,7 @@ static void removeOcclusions(const Mat& flow,
static void wd(Mat& d, int top_shift, int bottom_shift, int left_shift, int right_shift, float sigma) {
for (int dr = -top_shift, r = 0; dr <= bottom_shift; ++dr, ++r) {
for (int dc = -left_shift, c = 0; dc <= right_shift; ++dc, ++c) {
d.at<float>(r, c) = -(dr*dr + dc*dc);
d.at<float>(r, c) = (float)-(dr*dr + dc*dc);
}
}
d *= 1.0 / (2.0 * sigma * sigma);
@ -134,11 +134,11 @@ static void crossBilateralFilter(const Mat& image, const Mat& edge_image, const
multiply(weights, confidence_extended(window_rows, window_cols), weights);
multiply(weights, weights_space, weights);
float weights_sum = sum(weights)[0];
float weights_sum = (float)sum(weights)[0];
for (int ch = 0; ch < 2; ++ch) {
multiply(weights, image_extended_channels[ch](window_rows, window_cols), weighted_sum);
float total_sum = sum(weighted_sum)[0];
float total_sum = (float)sum(weighted_sum)[0];
dst.at<Vec2f>(row, col)[ch] = (flag && fabs(weights_sum) < 1e-9)
? image.at<float>(row, col)
@ -164,7 +164,7 @@ static void calcOpticalFlowSingleScaleSF(const Mat& prev,
Mat diff_storage(averaging_radius*2 + 1, averaging_radius*2 + 1, CV_32F);
Mat w_full_window(averaging_radius*2 + 1, averaging_radius*2 + 1, CV_32F);
Mat wd_full_window(averaging_radius*2 + 1, averaging_radius*2 + 1, CV_32F);
float w_full_window_sum = 1e-9;
float w_full_window_sum = 1e-9f;
Mat prev_extended;
copyMakeBorder(prev, prev_extended,
@ -176,10 +176,10 @@ static void calcOpticalFlowSingleScaleSF(const Mat& prev,
for (int r0 = 0; r0 < rows; ++r0) {
for (int c0 = 0; c0 < cols; ++c0) {
Vec2f flow_at_point = flow.at<Vec2f>(r0, c0);
int u0 = floor(flow_at_point[0] + 0.5);
int u0 = cvRound(flow_at_point[0]);
if (r0 + u0 < 0) { u0 = -r0; }
if (r0 + u0 >= rows) { u0 = rows - 1 - r0; }
int v0 = floor(flow_at_point[1] + 0.5);
int v0 = cvRound(flow_at_point[1]);
if (c0 + v0 < 0) { v0 = -c0; }
if (c0 + v0 >= cols) { v0 = cols - 1 - c0; }
@ -188,13 +188,13 @@ static void calcOpticalFlowSingleScaleSF(const Mat& prev,
const int min_col_shift = -min(c0 + v0, max_flow);
const int max_col_shift = min(cols - 1 - (c0 + v0), max_flow);
float min_cost = DBL_MAX, best_u = u0, best_v = v0;
float min_cost = FLT_MAX, best_u = (float)u0, best_v = (float)v0;
if (mask.at<uchar>(r0, c0)) {
wc(prev_extended, w_full_window, r0 + averaging_radius, c0 + averaging_radius,
averaging_radius, averaging_radius, averaging_radius, averaging_radius, sigma_color);
multiply(w_full_window, wd_full_window, w_full_window);
w_full_window_sum = sum(w_full_window)[0];
w_full_window_sum = (float)sum(w_full_window)[0];
}
bool first_flow_iteration = true;
@ -255,15 +255,15 @@ static void calcOpticalFlowSingleScaleSF(const Mat& prev,
averaging_radius + 1 + window_bottom_shift),
Range(averaging_radius - window_left_shift,
averaging_radius + 1 + window_right_shift));
w_sum = sum(w)[0];
w_sum = (float)sum(w)[0];
}
multiply(diff2, w, diff2);
const float cost = sum(diff2)[0] / w_sum;
const float cost = (float)(sum(diff2)[0] / w_sum);
if (cost < min_cost) {
min_cost = cost;
best_u = u + u0;
best_v = v + v0;
best_u = (float)(u + u0);
best_v = (float)(v + v0);
}
}
}
@ -371,7 +371,7 @@ static void selectPointsToRecalcFlow(const Mat& flow,
mask.at<uchar>(curr_bottom, curr_right) = MASK_TRUE_VALUE;
for (int rr = curr_top; rr <= curr_bottom; ++rr) {
for (int cc = curr_left; cc <= curr_right; ++cc) {
speed_up.at<uchar>(rr, cc) = speed_up_at_this_point + 1;
speed_up.at<uchar>(rr, cc) = (uchar)(speed_up_at_this_point + 1);
}
}
} else {
@ -408,9 +408,9 @@ static inline float extrapolateValueInRect(int height, int width,
if (r == height && c == width) { return v22;}
float qr = float(r) / height;
float pr = 1.0 - qr;
float pr = 1.0f - qr;
float qc = float(c) / width;
float pc = 1.0 - qc;
float pc = 1.0f - qc;
return v11*pr*pc + v12*pr*qc + v21*qr*pc + v22*qc*qr;
}
@ -517,8 +517,8 @@ void calcOpticalFlowSF(Mat& from,
confidence,
averaging_block_size,
max_flow,
sigma_dist,
sigma_color);
(float)sigma_dist,
(float)sigma_color);
calcOpticalFlowSingleScaleSF(first_to_image,
first_from_image,
@ -527,17 +527,17 @@ void calcOpticalFlowSF(Mat& from,
confidence_inv,
averaging_block_size,
max_flow,
sigma_dist,
sigma_color);
(float)sigma_dist,
(float)sigma_color);
removeOcclusions(flow,
flow_inv,
occ_thr,
(float)occ_thr,
confidence);
removeOcclusions(flow_inv,
flow,
occ_thr,
(float)occ_thr,
confidence_inv);
Mat speed_up = Mat::zeros(first_from_image.rows, first_from_image.cols, CV_8U);
@ -556,7 +556,7 @@ void calcOpticalFlowSF(Mat& from,
selectPointsToRecalcFlow(flow,
averaging_block_size,
speed_up_thr,
(int)speed_up_thr,
curr_rows,
curr_cols,
speed_up,
@ -565,7 +565,7 @@ void calcOpticalFlowSF(Mat& from,
selectPointsToRecalcFlow(flow_inv,
averaging_block_size,
speed_up_thr,
(int)speed_up_thr,
curr_rows,
curr_cols,
speed_up_inv,
@ -581,8 +581,8 @@ void calcOpticalFlowSF(Mat& from,
confidence,
flow,
upscale_averaging_radius,
upscale_sigma_dist,
upscale_sigma_color);
(float)upscale_sigma_dist,
(float)upscale_sigma_color);
flow_inv = upscaleOpticalFlow(curr_rows,
curr_cols,
@ -590,8 +590,8 @@ void calcOpticalFlowSF(Mat& from,
confidence_inv,
flow_inv,
upscale_averaging_radius,
upscale_sigma_dist,
upscale_sigma_color);
(float)upscale_sigma_dist,
(float)upscale_sigma_color);
calcOpticalFlowSingleScaleSF(curr_from,
curr_to,
@ -600,8 +600,8 @@ void calcOpticalFlowSF(Mat& from,
confidence,
averaging_block_size,
max_flow,
sigma_dist,
sigma_color);
(float)sigma_dist,
(float)sigma_color);
calcOpticalFlowSingleScaleSF(curr_to,
curr_from,
@ -610,18 +610,18 @@ void calcOpticalFlowSF(Mat& from,
confidence_inv,
averaging_block_size,
max_flow,
sigma_dist,
sigma_color);
(float)sigma_dist,
(float)sigma_color);
extrapolateFlow(flow, speed_up);
extrapolateFlow(flow_inv, speed_up_inv);
removeOcclusions(flow, flow_inv, occ_thr, confidence);
removeOcclusions(flow_inv, flow, occ_thr, confidence_inv);
removeOcclusions(flow, flow_inv, (float)occ_thr, confidence);
removeOcclusions(flow_inv, flow, (float)occ_thr, confidence_inv);
}
crossBilateralFilter(flow, pyr_from_images[0], confidence, flow,
postprocess_window, sigma_color_fix, sigma_dist_fix);
postprocess_window, (float)sigma_color_fix, (float)sigma_dist_fix);
GaussianBlur(flow, flow, Size(3, 3), 5);

4
modules/video/src/simpleflow.hpp
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@ -53,9 +53,9 @@ using namespace std;
namespace cv {
inline static float dist(const Vec3b& p1, const Vec3b& p2) {
return (p1[0] - p2[0]) * (p1[0] - p2[0]) +
return (float)((p1[0] - p2[0]) * (p1[0] - p2[0]) +
(p1[1] - p2[1]) * (p1[1] - p2[1]) +
(p1[2] - p2[2]) * (p1[2] - p2[2]);
(p1[2] - p2[2]) * (p1[2] - p2[2]));
}
inline static float dist(const Vec2f& p1, const Vec2f& p2) {

6
modules/video/test/test_simpleflow.cpp
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@ -87,7 +87,7 @@ static bool readOpticalFlowFromFile(FILE* file, cv::Mat& flow) {
}
static bool isFlowCorrect(float u) {
return !isnan(u) && (fabs(u) < 1e9);
return !cvIsNaN(u) && (fabs(u) < 1e9);
}
static float calc_rmse(cv::Mat flow1, cv::Mat flow2) {
@ -112,11 +112,11 @@ static float calc_rmse(cv::Mat flow1, cv::Mat flow2) {
}
}
}
return sqrt(sum / (1e-9 + counter));
return (float)sqrt(sum / (1e-9 + counter));
}
void CV_SimpleFlowTest::run(int) {
const float MAX_RMSE = 0.6;
const float MAX_RMSE = 0.6f;
const string frame1_path = ts->get_data_path() + "optflow/RubberWhale1.png";
const string frame2_path = ts->get_data_path() + "optflow/RubberWhale2.png";
const string gt_flow_path = ts->get_data_path() + "optflow/RubberWhale.flo";

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