mirror of https://git.ffmpeg.org/ffmpeg.git
avfilter/vf_normalize: factor code dealing with AVFrame pixels out
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@ -113,6 +113,9 @@ typedef struct NormalizeContext {
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uint8_t *history_mem; // Single allocation for above history entries
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uint8_t *history_mem; // Single allocation for above history entries
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uint8_t lut[3][256]; // Lookup table
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uint8_t lut[3][256]; // Lookup table
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void (*find_min_max)(struct NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3]);
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void (*process)(struct NormalizeContext *s, AVFrame *in, AVFrame *out);
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} NormalizeContext;
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} NormalizeContext;
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#define OFFSET(x) offsetof(NormalizeContext, x)
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#define OFFSET(x) offsetof(NormalizeContext, x)
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@ -130,6 +133,39 @@ static const AVOption normalize_options[] = {
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AVFILTER_DEFINE_CLASS(normalize);
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AVFILTER_DEFINE_CLASS(normalize);
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static void find_min_max(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
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{
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for (int c = 0; c < 3; c++)
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min[c].in = max[c].in = in->data[0][s->co[c]];
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for (int y = 0; y < in->height; y++) {
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uint8_t *inp = in->data[0] + y * in->linesize[0];
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for (int x = 0; x < in->width; x++) {
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for (int c = 0; c < 3; c++) {
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min[c].in = FFMIN(min[c].in, inp[s->co[c]]);
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max[c].in = FFMAX(max[c].in, inp[s->co[c]]);
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}
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inp += s->step;
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}
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}
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}
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static void process(NormalizeContext *s, AVFrame *in, AVFrame *out)
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{
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for (int y = 0; y < in->height; y++) {
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uint8_t *inp = in->data[0] + y * in->linesize[0];
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uint8_t *outp = out->data[0] + y * out->linesize[0];
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for (int x = 0; x < in->width; x++) {
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for (int c = 0; c < 3; c++)
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outp[s->co[c]] = s->lut[c][inp[s->co[c]]];
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if (s->num_components == 4)
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// Copy alpha as-is.
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outp[s->co[3]] = inp[s->co[3]];
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inp += s->step;
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outp += s->step;
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}
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}
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}
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// This function is the main guts of the filter. Normalizes the input frame
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// This function is the main guts of the filter. Normalizes the input frame
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// into the output frame. The frames are known to have the same dimensions
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// into the output frame. The frames are known to have the same dimensions
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// and pixel format.
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// and pixel format.
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@ -140,22 +176,11 @@ static void normalize(NormalizeContext *s, AVFrame *in, AVFrame *out)
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float rgb_min_smoothed; // Min input range for linked normalization
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float rgb_min_smoothed; // Min input range for linked normalization
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float rgb_max_smoothed; // Max input range for linked normalization
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float rgb_max_smoothed; // Max input range for linked normalization
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int x, y, c;
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int c;
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// First, scan the input frame to find, for each channel, the minimum
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// First, scan the input frame to find, for each channel, the minimum
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// (min.in) and maximum (max.in) values present in the channel.
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// (min.in) and maximum (max.in) values present in the channel.
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for (c = 0; c < 3; c++)
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s->find_min_max(s, in, min, max);
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min[c].in = max[c].in = in->data[0][s->co[c]];
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for (y = 0; y < in->height; y++) {
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uint8_t *inp = in->data[0] + y * in->linesize[0];
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for (x = 0; x < in->width; x++) {
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for (c = 0; c < 3; c++) {
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min[c].in = FFMIN(min[c].in, inp[s->co[c]]);
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max[c].in = FFMAX(max[c].in, inp[s->co[c]]);
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}
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inp += s->step;
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}
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}
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// Next, for each channel, push min.in and max.in into their respective
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// Next, for each channel, push min.in and max.in into their respective
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// histories, to determine the min.smoothed and max.smoothed for this frame.
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// histories, to determine the min.smoothed and max.smoothed for this frame.
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@ -233,19 +258,7 @@ static void normalize(NormalizeContext *s, AVFrame *in, AVFrame *out)
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}
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}
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// Finally, process the pixels of the input frame using the lookup tables.
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// Finally, process the pixels of the input frame using the lookup tables.
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for (y = 0; y < in->height; y++) {
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s->process(s, in, out);
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uint8_t *inp = in->data[0] + y * in->linesize[0];
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uint8_t *outp = out->data[0] + y * out->linesize[0];
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for (x = 0; x < in->width; x++) {
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for (c = 0; c < 3; c++)
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outp[s->co[c]] = s->lut[c][inp[s->co[c]]];
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if (s->num_components == 4)
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// Copy alpha as-is.
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outp[s->co[3]] = inp[s->co[3]];
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inp += s->step;
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outp += s->step;
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}
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}
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s->frame_num++;
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s->frame_num++;
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}
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}
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@ -311,6 +324,10 @@ static int config_input(AVFilterLink *inlink)
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s->min[c].history = s->history_mem + (c*2) * s->history_len;
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s->min[c].history = s->history_mem + (c*2) * s->history_len;
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s->max[c].history = s->history_mem + (c*2+1) * s->history_len;
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s->max[c].history = s->history_mem + (c*2+1) * s->history_len;
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}
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}
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s->find_min_max = find_min_max;
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s->process = process;
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return 0;
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return 0;
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}
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}
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