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Add normalizers when applied on a chain #1054

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Add normalizers when applied on a chain #1054

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43 changes: 42 additions & 1 deletion src/modules/kdenlive/filter_freeze.c
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Original file line number Diff line number Diff line change
Expand Up @@ -23,10 +23,13 @@
#include <framework/mlt_producer.h>
#include <framework/mlt_property.h>
#include <framework/mlt_service.h>
#include <framework/mlt_tokeniser.h>

#include <stdio.h>
#include <string.h>

static mlt_properties normalizers = NULL;

static int filter_get_image(mlt_frame frame,
uint8_t **image,
mlt_image_format *format,
Expand Down Expand Up @@ -66,7 +69,8 @@ static int filter_get_image(mlt_frame frame,
mlt_producer_seek(producer, pos);

// Get the frame
mlt_service_get_frame(MLT_PRODUCER_SERVICE(producer), &freeze_frame, 0);
mlt_service service = MLT_PRODUCER_SERVICE(producer);
mlt_service_get_frame(service, &freeze_frame, 0);

mlt_properties freeze_properties = MLT_FRAME_PROPERTIES(freeze_frame);
mlt_properties frame_properties = MLT_FRAME_PROPERTIES(frame);
Expand All @@ -90,6 +94,43 @@ static int filter_get_image(mlt_frame frame,
(mlt_destructor) mlt_frame_close,
NULL);
mlt_properties_set_position(properties, "_frame", pos);
// Check if we have normalizers
int hasNormalizers = 0;
for (int i = 0; i < mlt_service_filter_count(service); i++) {
mlt_filter filter = mlt_service_filter(service, i);
if (filter && mlt_properties_get_int(MLT_FILTER_PROPERTIES(filter), "_loader") == 1) {
hasNormalizers = 1;
break;
}
}
if (hasNormalizers == 0) {
// Tokeniser
mlt_tokeniser tokeniser = mlt_tokeniser_init();

// We only need to load the normalizing properties once
if (normalizers == NULL) {
char temp[PATH_MAX];
snprintf(temp, sizeof(temp), "%s/core/loader.ini", mlt_environment("MLT_DATA"));
normalizers = mlt_properties_load(temp);
mlt_factory_register_for_clean_up(normalizers, (mlt_destructor) mlt_properties_close);
}

// Apply normalizers
for (int i = 0; i < mlt_properties_count(normalizers); i++) {
int j = 0;
int created = 0;
char *value = mlt_properties_get_value(normalizers, i);
mlt_tokeniser_parse_new(tokeniser, value, ",");
for (j = 0; !created && j < mlt_tokeniser_count(tokeniser); j++) {
const char *filter_name = mlt_tokeniser_get_string(tokeniser, j);
mlt_filter norm_filter = mlt_factory_filter(mlt_service_profile(MLT_FILTER_SERVICE(filter)), filter_name, NULL);
mlt_filter_process(norm_filter, freeze_frame);
}
}

// Close the tokeniser
mlt_tokeniser_close(tokeniser);
}
}
mlt_service_unlock(MLT_FILTER_SERVICE(filter));

Expand Down