static StabData* init_detect(mlt_properties properties, mlt_image_format *format, int *width, int *height)
{
StabData *data = new StabData;
memset(data, 0, sizeof(StabData));
data->animation = mlt_animation_new();
VSPixelFormat pf = convertImageFormat(*format);
VSFrameInfo fi;
vsFrameInfoInit(&fi, *width, *height, pf);
const char* filterName = mlt_properties_get(properties, "mlt_service");
VSMotionDetectConfig conf = vsMotionDetectGetDefaultConfig(filterName);
conf.shakiness = mlt_properties_get_int(properties, "shakiness");
conf.accuracy = mlt_properties_get_int(properties, "accuracy");
conf.stepSize = mlt_properties_get_int(properties, "stepsize");
conf.algo = mlt_properties_get_int(properties, "algo");
conf.contrastThreshold = mlt_properties_get_double(properties, "mincontrast");
conf.show = mlt_properties_get_int(properties, "show");
conf.virtualTripod = mlt_properties_get_int(properties, "tripod");
vsMotionDetectInit(&data->md, &conf, &fi);
// add vectors to properties
mlt_properties_set_data(properties, "vectors", data->animation, 1, (mlt_destructor) mlt_animation_close,
(mlt_serialiser) vectors_serializer);
return data;
}
void test_checkCompareImg(const TestData* testdata){
VSMotionDetect md;
VSMotionDetectConfig conf = vsMotionDetectGetDefaultConfig("test_checkCompareImg");
conf.shakiness=6;
conf.accuracy=12;
test_bool(vsMotionDetectInit(&md, &conf, &testdata->fi) == VS_OK);
fflush(stdout);
test_bool(checkCompareImg(&md,&testdata->frames[0]));
vsMotionDetectionCleanup(&md);
}
int init_deshake(DeshakeData *data, mlt_properties properties,
mlt_image_format *format, int *width, int *height, char* interps)
{
VSPixelFormat pf = convertImageFormat(*format);
VSFrameInfo fiIn, fiOut;
vsFrameInfoInit(&fiIn, *width, *height, pf);
vsFrameInfoInit(&fiOut, *width, *height, pf);
VSMotionDetectConfig conf = vsMotionDetectGetDefaultConfig(FILTER_NAME);
conf.shakiness = mlt_properties_get_int(properties, "shakiness");
conf.accuracy = mlt_properties_get_int(properties, "accuracy");
conf.stepSize = mlt_properties_get_int(properties, "stepsize");
conf.algo = mlt_properties_get_int(properties, "algo");
conf.contrastThreshold = mlt_properties_get_double(properties, "mincontrast");
conf.show = 0;
vsMotionDetectInit(&data->md, &conf, &fiIn);
VSTransformConfig tdconf = vsTransformGetDefaultConfig(FILTER_NAME);
tdconf.smoothing = mlt_properties_get_int(properties, "smoothing");
tdconf.maxShift = mlt_properties_get_int(properties, "maxshift");
tdconf.maxAngle = mlt_properties_get_double(properties, "maxangle");
tdconf.crop = (VSBorderType) mlt_properties_get_int(properties, "crop");
tdconf.zoom = mlt_properties_get_int(properties, "zoom");
tdconf.optZoom = mlt_properties_get_int(properties, "optzoom");
tdconf.zoomSpeed = mlt_properties_get_double(properties, "zoomspeed");
tdconf.relative = 1;
tdconf.invert = 0;
// by default a bilinear interpolation is selected
tdconf.interpolType = VS_BiLinear;
if (strcmp(interps, "nearest") == 0 || strcmp(interps, "neighbor") == 0)
tdconf.interpolType = VS_Zero;
else if (strcmp(interps, "tiles") == 0 || strcmp(interps, "fast_bilinear") == 0)
tdconf.interpolType = VS_Linear;
vsTransformDataInit(&data->td, &tdconf, &fiIn, &fiOut);
data->avg.initialized = 0;
return 0;
}
static void init_analyze_data( mlt_filter filter, mlt_frame frame, VSPixelFormat vs_format, int width, int height )
{
mlt_properties properties = MLT_FILTER_PROPERTIES( filter );
vs_data* data = (vs_data*)filter->child;
vs_analyze* analyze_data = (vs_analyze*)calloc( 1, sizeof(vs_analyze) );
memset( analyze_data, 0, sizeof(vs_analyze) );
// Initialize a VSMotionDetectConfig
const char* filterName = mlt_properties_get( properties, "mlt_service" );
VSMotionDetectConfig conf = vsMotionDetectGetDefaultConfig( filterName );
conf.shakiness = mlt_properties_get_int( properties, "shakiness" );
conf.accuracy = mlt_properties_get_int( properties, "accuracy" );
conf.stepSize = mlt_properties_get_int( properties, "stepsize" );
conf.contrastThreshold = mlt_properties_get_double( properties, "mincontrast" );
conf.show = mlt_properties_get_int( properties, "show" );
conf.virtualTripod = mlt_properties_get_int( properties, "tripod" );
// Initialize a VSFrameInfo
VSFrameInfo fi;
vsFrameInfoInit( &fi, width, height, vs_format );
// Initialize the saved VSMotionDetect
vsMotionDetectInit( &analyze_data->md, &conf, &fi );
// Initialize the file to save results to
char* filename = mlt_properties_get( properties, "filename" );
analyze_data->results = fopen( filename, "w" );
if ( vsPrepareFile( &analyze_data->md, analyze_data->results ) != VS_OK )
{
mlt_log_error( MLT_FILTER_SERVICE(filter), "Can not write to results file: %s\n", filename );
destory_analyze_data( analyze_data );
data->analyze_data = NULL;
}
else
{
data->analyze_data = analyze_data;
}
}
