Difference between revisions of "Explorer/RaspberryPi/Visualprocessing/Motionvector"
(9 intermediate revisions by the same user not shown) | |||
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The code below, patch "raspivid" to provide a video buffer (gray scale image) with motion vectors.<br /> | The code below, patch "raspivid" to provide a video buffer (gray scale image) with motion vectors.<br /> | ||
The new code | The new code compiled as "raspicv", with a custom "cv.cpp" (see below), output motion vector display to /tmp/camera3 <br /> | ||
The "cv.cpp" is limited to 640x480 grayscale image in this sample. | The "cv.cpp" is limited to 640x480 grayscale image in this sample.<br /> | ||
Adam Heinrich thesis | (ref. Adam Heinrich thesis: An Optical Flow Odometry Sensor Based on the Raspberry Pi Computer) | ||
An Optical Flow Odometry Sensor Based on the Raspberry Pi Computer | |||
git clone https://github.com/raspberrypi/userland.git | git clone https://github.com/raspberrypi/userland.git | ||
Line 34: | Line 33: | ||
Update RaspiCV.c | Update RaspiCV.c | ||
cp userland/host_applications/linux/apps/raspicam/RaspiVid.c ~/RaspiCV/src/RaspiCV.c | cp ~/userland/host_applications/linux/apps/raspicam/RaspiVid.c ~/RaspiCV/src/RaspiCV.c | ||
and patch it | and patch it | ||
< #include <semaphore.h> | < #include <semaphore.h> | ||
Line 71: | Line 70: | ||
/*****************************************************************************/ | /*****************************************************************************/ | ||
#define SAD_LIMIT | #define SAD_LIMIT 2000 | ||
#define streamOutGstStr "appsrc ! shmsink socket-path=/tmp/camera3 wait-for-connection=false async=false sync=false" | #define streamOutGstStr "appsrc ! shmsink socket-path=/tmp/camera3 wait-for-connection=false async=false sync=false" | ||
Line 82: | Line 80: | ||
}; | }; | ||
static motion_elt_t *motionIn; | static motion_elt_t *motionIn; | ||
static | static Mat1b gray; | ||
static int width,height,fps; | static int width,height,fps; | ||
Line 99: | Line 97: | ||
{ | { | ||
VideoWriter strOut = VideoWriter(streamOutGstStr,0,fps/1,Size(width,height),true); | VideoWriter strOut = VideoWriter(streamOutGstStr,0,fps/1,Size(width,height),true); | ||
Mat3b grayBGR; | |||
Mat colormap; | |||
Mat | int32_t sum_x,sum_y; | ||
int mbx = width/16; | int mbx = width/16; | ||
int mby = height/16; | int mby = height/16; | ||
int mbxy = (8 * mbx * mby); | |||
unsigned int motionSize = ((mbx+1)*mby) * sizeof(struct motion_elt_t); | unsigned int motionSize = ((mbx+1)*mby) * sizeof(struct motion_elt_t); | ||
motion_elt_t *motionOut = new motion_elt_t[(mbx+1)*mby]; | motion_elt_t *motionOut = new motion_elt_t[(mbx+1)*mby]; | ||
char buff[20];int lg; | |||
while (true) { | while (true) { | ||
pthread_mutex_lock(&img_mutex); | pthread_mutex_lock(&img_mutex); | ||
while (!img_ready) pthread_cond_wait(&img_condv, &img_mutex); | while (!img_ready) pthread_cond_wait(&img_condv, &img_mutex); | ||
cvtColor(gray, grayBGR, COLOR_GRAY2BGR); | |||
applyColorMap(grayBGR, colormap, COLORMAP_JET); | |||
img_ready=false; | img_ready=false; | ||
pthread_mutex_unlock(&img_mutex); | pthread_mutex_unlock(&img_mutex); | ||
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imv_ready=false; | imv_ready=false; | ||
pthread_mutex_unlock(&imv_mutex); | pthread_mutex_unlock(&imv_mutex); | ||
} | } | ||
sum_x=0;sum_y=0; | |||
for (int j=0;j<mby;j++) { | |||
for (int i=0;i<mbx;i++) { | |||
motion_elt_t *vec = motionOut + (i+(mbx+1)*j); | motion_elt_t *vec = motionOut + (i+(mbx+1)*j); | ||
if (vec->x == 0 && vec->y == 0) continue; | if (vec->x == 0 && vec->y == 0) continue; | ||
if (vec->sad > SAD_LIMIT) continue; | if (vec->sad > SAD_LIMIT) continue; | ||
int x = i*16 + 8; | |||
int y = j*16 + 8; | |||
float intensity = vec->sad; | |||
intensity = round(255 * intensity / SAD_LIMIT); | |||
if (intensity > 255) intensity = 255; | |||
uint8_t *ptr = colormap.ptr<uchar>(0); | |||
uint8_t idx = 3*(uint8_t)intensity; | |||
arrowedLine(grayBGR, Point(x+vec->x, y+vec->y), | |||
Point(x, y), | |||
Scalar(ptr[idx], ptr[idx+1], ptr[idx+2])); | |||
sum_x += (intensity * vec->x); | |||
sum_y += (intensity * vec->y); | |||
} | |||
} | |||
sum_x = (sum_x/mbxy); | |||
sum_y = (sum_y/mbxy); | |||
arrowedLine(grayBGR, Point(320,240),Point(320+sum_x,240+sum_y),Scalar(0,255,0),5); | |||
drawAxes(&grayBGR); | |||
strOut.write(grayBGR); | |||
strOut.write( | |||
} | } | ||
return((void *)0); | return((void *)0); | ||
} | } | ||
/*****************************************************************************/ | /*****************************************************************************/ | ||
void cv_init(int w, int h, int f, int fmt) | void cv_init(int w, int h, int f, int fmt) | ||
{ | { | ||
// freopen( "/tmp/error.txt", "w", stderr ); | |||
// cerr << length << endl; | |||
// fd << static_cast<int32_t>(sum_x) << endl; | |||
drawAxes_init(); | |||
width=w;height=h;fps=f; | width=w;height=h;fps=f; | ||
gray = Mat(height, width, CV_8UC1); | |||
motionIn = new motion_elt_t[((width/16)+1) * (height/16)]; | motionIn = new motion_elt_t[((width/16)+1) * (height/16)]; | ||
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init_ready=true; | init_ready=true; | ||
} | } | ||
/*****************************************************************************/ | /*****************************************************************************/ | ||
void cv_process_img(uint8_t *p_buffer, int length, int64_t timestamp) | void cv_process_img(uint8_t *p_buffer, int length, int64_t timestamp) | ||
Line 204: | Line 187: | ||
if (init_ready) { | if (init_ready) { | ||
pthread_mutex_lock(&img_mutex); | pthread_mutex_lock(&img_mutex); | ||
memcpy( | memcpy(gray.data, p_buffer, length); | ||
img_ready=true; | img_ready=true; | ||
pthread_cond_signal(&img_condv); | pthread_cond_signal(&img_condv); |
Latest revision as of 06:20, 12 February 2021
The Raspberry Pi is based on a BCM2835 System on a Chip (SoC), which provides an hardware (GPU) motion estimation block to the H264 encoder.
The Coarse Motion Block (CME) compares macroblock (16×16 pixels) from two consecutive frames and output a vector where the macroblock came from.
The vector is encoded in a single 32-bit value:
- the most significant 16 bits represent a Sum of Absolute Differences (SAD = quality of the estimation, the lower is the better)
- the others 16 bits represents (8-bit signed integer) the horizontal and vertical directions
The code below, patch "raspivid" to provide a video buffer (gray scale image) with motion vectors.
The new code compiled as "raspicv", with a custom "cv.cpp" (see below), output motion vector display to /tmp/camera3
The "cv.cpp" is limited to 640x480 grayscale image in this sample.
(ref. Adam Heinrich thesis: An Optical Flow Odometry Sensor Based on the Raspberry Pi Computer)
git clone https://github.com/raspberrypi/userland.git git clone https://github.com/adamheinrich/RaspiCV.git
Path RaspiCV/src/Makefile
< USERLAND_DIR > USERLAND_DIR = $(HOME)/userland ... > $(USERLAND_DIR)/host_applications/linux/apps/raspicam/RaspiHelpers.c \ > $(USERLAND_DIR)/host_applications/linux/apps/raspicam/RaspiCommonSettings.c \ > $(USERLAND_DIR)/host_applications/linux/apps/raspicam/RaspiGPS.c \ > $(USERLAND_DIR)/host_applications/linux/apps/raspicam/libgps_loader.c ... < CXXFLAGS = $(ARCHFLAGS) $(DBGFLAGS) $(OPTFLAGS) `pkg-config --cflags opencv` \ > CXXFLAGS = $(ARCHFLAGS) $(DBGFLAGS) $(OPTFLAGS) `pkg-config --cflags opencv4` \ ... < LDFLAGS += `pkg-config --libs opencv` > LDFLAGS += `pkg-config --libs opencv4` ... < LDLIBFLAGS = -Wl, ... > LDLIBFLAGS = -ldl -Wl, ...
Update RaspiCV.c
cp ~/userland/host_applications/linux/apps/raspicam/RaspiVid.c ~/RaspiCV/src/RaspiCV.c
and patch it
< #include <semaphore.h> > #include "cv.h" #include <semaphore.h> ... if(pData->pstate->inlineMotionVectors) { > cv_process_imv(buffer->data, buffer->length, buffer->pts); bytes_written = fwrite(buffer->data, 1, buffer->length, pData->imv_file_handle); ... if (bytes_to_write) { mmal_buffer_header_mem_lock(buffer); > cv_process_img(buffer->data, bytes_to_write, buffer->pts); bytes_written = fwrite(buffer->data, 1, bytes_to_write, pData->raw_file_handle); ... > cv_init(state.common_settings.width, state.common_settings.height, state.framerate, state.raw_output_fmt); int initialCapturing=state.bCapturing; while (running) { ... ... destroy_splitter_component(&state); destroy_camera_component(&state); > cv_close();
Replace de file RaspiCV/src/cv.cpp with this
#include "cv.h" #include <opencv2/opencv.hpp> #include <pthread.h> using namespace cv; using namespace std; /*****************************************************************************/ #define SAD_LIMIT 2000 #define streamOutGstStr "appsrc ! shmsink socket-path=/tmp/camera3 wait-for-connection=false async=false sync=false" /*****************************************************************************/ struct motion_elt_t { int8_t x; int8_t y; uint16_t sad; }; static motion_elt_t *motionIn; static Mat1b gray; static int width,height,fps; static pthread_mutex_t imv_mutex; static bool imv_ready=false; static pthread_t img_thread; static pthread_mutex_t img_mutex; static pthread_cond_t img_condv; static bool img_ready=false; static bool init_ready=false; /*****************************************************************************/ static void *process_thread(void *ptr) { VideoWriter strOut = VideoWriter(streamOutGstStr,0,fps/1,Size(width,height),true); Mat3b grayBGR; Mat colormap; int32_t sum_x,sum_y; int mbx = width/16; int mby = height/16; int mbxy = (8 * mbx * mby); unsigned int motionSize = ((mbx+1)*mby) * sizeof(struct motion_elt_t); motion_elt_t *motionOut = new motion_elt_t[(mbx+1)*mby]; char buff[20];int lg; while (true) { pthread_mutex_lock(&img_mutex); while (!img_ready) pthread_cond_wait(&img_condv, &img_mutex); cvtColor(gray, grayBGR, COLOR_GRAY2BGR); applyColorMap(grayBGR, colormap, COLORMAP_JET); img_ready=false; pthread_mutex_unlock(&img_mutex); if(imv_ready) { pthread_mutex_lock(&imv_mutex); memcpy(motionOut ,motionIn, motionSize); imv_ready=false; pthread_mutex_unlock(&imv_mutex); } sum_x=0;sum_y=0; for (int j=0;j<mby;j++) { for (int i=0;i<mbx;i++) { motion_elt_t *vec = motionOut + (i+(mbx+1)*j); if (vec->x == 0 && vec->y == 0) continue; if (vec->sad > SAD_LIMIT) continue; int x = i*16 + 8; int y = j*16 + 8; float intensity = vec->sad; intensity = round(255 * intensity / SAD_LIMIT); if (intensity > 255) intensity = 255; uint8_t *ptr = colormap.ptr<uchar>(0); uint8_t idx = 3*(uint8_t)intensity; arrowedLine(grayBGR, Point(x+vec->x, y+vec->y), Point(x, y), Scalar(ptr[idx], ptr[idx+1], ptr[idx+2])); sum_x += (intensity * vec->x); sum_y += (intensity * vec->y); } } sum_x = (sum_x/mbxy); sum_y = (sum_y/mbxy); arrowedLine(grayBGR, Point(320,240),Point(320+sum_x,240+sum_y),Scalar(0,255,0),5); drawAxes(&grayBGR); strOut.write(grayBGR); } return((void *)0); } /*****************************************************************************/ void cv_init(int w, int h, int f, int fmt) { // freopen( "/tmp/error.txt", "w", stderr ); // cerr << length << endl; // fd << static_cast<int32_t>(sum_x) << endl; drawAxes_init(); width=w;height=h;fps=f; gray = Mat(height, width, CV_8UC1); motionIn = new motion_elt_t[((width/16)+1) * (height/16)]; pthread_mutex_init(&imv_mutex, NULL); pthread_mutex_init(&img_mutex, NULL); pthread_cond_init(&img_condv, NULL); pthread_create(&img_thread, NULL, process_thread, (void *)0); init_ready=true; } /*****************************************************************************/ void cv_process_img(uint8_t *p_buffer, int length, int64_t timestamp) { if (init_ready) { pthread_mutex_lock(&img_mutex); memcpy(gray.data, p_buffer, length); img_ready=true; pthread_cond_signal(&img_condv); pthread_mutex_unlock(&img_mutex); } } /*****************************************************************************/ void cv_process_imv(uint8_t *p_buffer, int length, int64_t timestamp) { if (init_ready) { pthread_mutex_lock(&imv_mutex); memcpy(motionIn ,p_buffer, length); imv_ready=true; pthread_mutex_unlock(&imv_mutex); } } /*****************************************************************************/ void cv_close(void) { }
cd RaspiCV/src make