Hi,
This patch is introduced as a qualification task required by Super
Resolution project for GSoC. It passes patchcheck and make fate, doesn't
introduce new warnings and gives expected results for all tested images.
It's implemented by the help of the mentor: Pedro Arthur.
Best regards,
Mina Sami.
>From bf8ac38cee36886f6c317681a16aecfa5dee0752 Mon Sep 17 00:00:00 2001
From: MinaBombo <minasa...@hotmail.com>
Date: Sat, 24 Mar 2018 21:15:08 +0200
Subject: [PATCH] Added srcnn filter
---
Changelog | 1 +
libavfilter/Makefile | 1 +
libavfilter/allfilters.c | 1 +
libavfilter/srcnn_weights.h | 290 ++++++++++++++++++++++++++++++++++++++++++++
libavfilter/vf_srcnn.c | 264 ++++++++++++++++++++++++++++++++++++++++
5 files changed, 557 insertions(+)
create mode 100644 libavfilter/srcnn_weights.h
create mode 100644 libavfilter/vf_srcnn.c
diff --git a/Changelog b/Changelog
index c1b9df4..e153f12 100644
--- a/Changelog
+++ b/Changelog
@@ -46,6 +46,7 @@ version <next>:
They can be found at http://git.videolan.org/?p=ffmpeg/nv-codec-headers.git
- native SBC encoder and decoder
- drmeter audio filter
+- Added image SRCNN(Super Resolution Convolutional Neural Network) filter. No training yet.
version 3.4:
diff --git a/libavfilter/Makefile b/libavfilter/Makefile
index fc16512..b37a956 100644
--- a/libavfilter/Makefile
+++ b/libavfilter/Makefile
@@ -323,6 +323,7 @@ OBJS-$(CONFIG_SMARTBLUR_FILTER) += vf_smartblur.o
OBJS-$(CONFIG_SOBEL_FILTER) += vf_convolution.o
OBJS-$(CONFIG_SPLIT_FILTER) += split.o
OBJS-$(CONFIG_SPP_FILTER) += vf_spp.o
+OBJS-$(CONFIG_SRCNN_FILTER) += vf_srcnn.o
OBJS-$(CONFIG_SSIM_FILTER) += vf_ssim.o framesync.o
OBJS-$(CONFIG_STEREO3D_FILTER) += vf_stereo3d.o
OBJS-$(CONFIG_STREAMSELECT_FILTER) += f_streamselect.o framesync.o
diff --git a/libavfilter/allfilters.c b/libavfilter/allfilters.c
index cc423af..42f409c 100644
--- a/libavfilter/allfilters.c
+++ b/libavfilter/allfilters.c
@@ -332,6 +332,7 @@ static void register_all(void)
REGISTER_FILTER(SOBEL, sobel, vf);
REGISTER_FILTER(SPLIT, split, vf);
REGISTER_FILTER(SPP, spp, vf);
+ REGISTER_FILTER(SRCNN, srcnn, vf);
REGISTER_FILTER(SSIM, ssim, vf);
REGISTER_FILTER(STEREO3D, stereo3d, vf);
REGISTER_FILTER(STREAMSELECT, streamselect, vf);
diff --git a/libavfilter/srcnn_weights.h b/libavfilter/srcnn_weights.h
new file mode 100644
index 0000000..d6ac79c
--- /dev/null
+++ b/libavfilter/srcnn_weights.h
@@ -0,0 +1,290 @@
+/*
+ * Copyright (c) 2018 Mina Sami
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * Super resolution filter pretrained weights
+ *
+ * @see https://arxiv.org/abs/1501.00092
+ */
+
+#ifndef AVFILTER_SRCNN_WEIGHTS_H
+#define AVFILTER_SRCNN_WEIGHTS_H
+
+const int ff_cnn_num_filters[] = {
+ 1, 64, 32, 1
+};
+
+const int ff_cnn_size_filters[] = {
+ 1, 9, 1, 5
+};
+
+static const float weights1_64x81[] = {
+ -0.088663,0.05541,0.037197,-0.11961,-0.12342,0.29963,-0.091182,-0.00013614,-0.049024,0.038421,-0.077268,0.027273,0.45762,0.023582,-0.20364,-0.077384,0.072884,0.066799,-0.073151,0.26653,0.078364,-0.28985,-0.50691,0.044665,-0.062469,-0.024425,-0.029073,-0.16885,0.20686,-0.25367,-0.385,-0.12602,0.72579,0.095884,-0.044873,-0.011252,-0.029559,0.22117,-0.38453,-0.05351,0.10956,0.37257,-0.28968,-0.10884,0.19629,0.097468,-0.0056471,-0.13036,0.62543,0.19104,-0.011692,-0.27068,-0.030754,0.029876,0.016809,-0.18318,-0.16016,0.35983,-0.1889,-0.22343,-0.11112,0.32211,-0.18514,-0.06647,0.18006,-0.03566,-0.25352,-0.1837,0.28395,0.0030237,0.24073,-0.14355,0.047419,-0.032212,-0.088013,0.29592,0.041087,-0.10354,-0.11681,-0.010267,0.023704,
+ -0.043954,0.095339,0.12234,-0.052115,0.068812,0.057649,0.086867,-0.12001,0.023536,-0.022271,-0.063779,0.010644,-0.27824,-0.2372,-0.21418,-0.09665,0.10459,0.065994,-0.031174,-0.034654,0.022144,-0.24322,-0.089236,-0.027248,-0.093149,-0.03741,0.078197,0.12521,0.1119,0.34982,0.24304,0.21351,0.37121,0.12193,-0.15492,0.01884,-0.083511,-0.3055,-0.11462,-0.11834,-0.35028,-0.0077491,-0.051849,-0.14424,-0.040476,0.18358,0.16708,0.074863,0.17893,0.12331,0.16825,-0.040669,0.12499,0.12445,-0.085298,-0.23087,-0.24264,-0.0033643,-0.019014,0.0074067,-0.097625,0.097274,-0.14308,0.20925,0.047316,0.17839,0.20143,-0.21384,-0.16858,0.077692,0.11478,0.0022495,-0.095247,-0.11904,-0.11904,0.11935,0.040787,-0.078733,0.19329,-0.060085,-0.036192,
+ -0.035089,-0.021296,0.044676,0.035148,0.047733,-0.036009,-0.098195,-0.074646,0.16331,0.057661,-0.060684,0.023711,0.040779,0.019528,-0.047095,-0.0026468,0.013081,-0.048433,-0.055471,-0.0075115,-0.0018498,0.0063248,0.083345,-0.035346,-0.058733,-0.11715,-0.049685,-0.010658,0.088404,0.068287,0.02097,0.26205,0.11938,0.042141,-0.064057,-0.047907,0.054826,0.074022,0.21512,0.25781,0.42716,0.18216,0.12531,0.1039,-0.010483,-0.075873,-0.012898,0.10066,0.073731,0.15949,-0.086111,0.0066838,0.10756,-0.10216,-0.12101,0.0095138,0.046046,0.067059,0.21903,0.026905,0.0053239,0.0006765,-0.042837,-0.025259,-0.0097077,-0.00097897,0.043258,0.088092,0.018156,-0.012796,-0.10799,0.044633,0.13564,0.033342,-0.12863,-0.13122,-0.0092303,-0.019398,-0.0058522,-0.055109,-0.039393,
+ 0.036043,-0.017754,0.012287,0.088192,-0.042565,-0.084126,0.0034042,0.09514,-0.019552,-0.096748,0.18024,-0.080905,-0.24444,0.0068569,0.13042,0.025669,-0.23943,0.044755,-0.016099,-0.18014,-0.11965,0.15632,0.23565,-0.016447,0.08861,0.030304,0.037085,0.20705,-0.30848,0.29852,0.51718,0.0081607,-0.31129,-0.12308,0.23215,-0.034601,-0.053407,0.10226,0.21642,-0.006494,-0.25076,-0.20449,0.050536,0.12136,-0.24143,-0.28441,0.33926,-0.18577,-0.49421,-0.097031,0.0031087,0.15143,-0.08353,0.11526,0.15755,0.11142,0.0034581,-0.17606,0.16818,0.091053,0.039176,-0.09479,0.056351,0.025232,-0.2455,0.063366,0.16319,0.21758,-0.10586,-0.082367,0.069699,-0.024705,-0.053975,0.1787,-0.027807,-0.19675,-0.10373,0.0085135,0.1325,-0.045926,-0.0030839,
+ -0.040478,0.049372,-0.13667,0.13787,-0.13876,0.29655,0.17231,-0.13067,-0.04865,0.044596,-0.031414,0.031237,0.147,-0.48831,-0.44783,-0.32053,0.22293,0.11626,0.030553,-0.13196,-0.095849,0.070506,-0.14856,0.10479,-0.16068,-0.1229,-0.13379,0.024233,0.23596,-0.021007,0.18905,0.50857,0.63729,0.21577,0.011278,0.18822,-0.15459,-0.040722,-0.10378,-0.2068,-0.0048381,-0.08054,-0.20551,-0.16877,-0.13455,0.24717,-0.055627,0.26783,-0.060781,-0.30376,-0.16148,0.13624,0.29368,0.047969,-0.030662,-0.30584,-0.080031,0.10656,-0.018742,0.035879,-0.025629,-0.11311,-0.14456,0.040502,0.28121,-0.058496,0.095959,-0.0041209,0.14833,0.051879,-0.02498,0.12018,-0.05971,-0.027001,-0.15201,0.17206,-0.10739,-0.042039,-0.051566,0.047358,-0.020337,
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+};
+
+static const float weights2_32x64x1[] = {
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+};
+
+static const float weights3_32x25[] = {
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+ -0.019966,-0.0019774,0.0098074,-0.0052229,0.0057441,0.021809,-0.014543,-0.01105,-0.023863,0.01249,0.021637,-0.04904,0.11622,-0.052713,0.013106,-0.0019236,-0.02419,-0.03459,-0.0095198,0.017527,-0.0016539,0.0079173,0.025195,0.0050018,-0.018865,
+ 0.0079919,-0.0099945,0.013966,0.0034037,0.0044098,-0.0011488,-0.01298,0.021291,-0.011861,-0.0056803,-0.019348,0.017518,0.055704,-0.0082341,-0.032455,-0.026378,-0.0060074,0.034043,0.00060863,-0.0060978,0.010704,-0.010331,0.0025184,0.00020402,0.0091586,
+ -0.0046207,-0.019019,-0.0039543,-0.0057573,-0.0028753,-0.0041014,-0.01211,0.017782,-0.0093694,-0.010443,-0.011709,0.029355,0.061708,0.018863,0.00014959,-0.017802,-0.013039,0.009691,-0.015811,-0.0072428,0.011613,-0.0081831,-0.0049616,-0.0081696,-0.011142,
+ 0.011911,-0.014209,-0.002595,3.0099e-05,0.037273,-0.00041378,0.0056974,0.023486,-0.011684,0.016428,-0.014264,0.012375,0.055691,0.0092182,-0.018465,-0.0063814,0.0067027,0.018198,-0.013824,-0.0060196,0.030274,-0.0030317,-0.010555,-0.021851,0.0050981,
+ 0.0043943,-0.010815,-0.010605,-0.016694,-0.0079704,-0.0025396,-0.011344,0.016261,-0.0027838,-0.0099353,-0.011821,0.021071,0.050107,0.018654,-0.0040784,-0.018069,-0.012078,0.018704,-0.0050004,0.00083424,0.0045916,-0.018925,-0.010357,0.0080302,0.01289,
+ -0.015275,-0.012636,-0.022159,-0.026578,-0.023842,-0.017456,-0.0062731,0.024738,0.0015959,-0.022227,0.0029874,0.043246,0.053597,0.018533,0.0037152,-0.0036655,-0.00073221,0.0041338,-0.027597,-0.023045,-0.02433,-0.025037,0.0054867,-0.0050565,-0.019689,
+ 0.0070589,-0.025711,-0.040492,-0.055859,-0.020695,-0.016486,-0.020269,0.065497,0.013797,0.01565,-0.043466,-0.0017072,0.11819,0.019084,-0.034191,0.013736,0.0034031,0.012773,-0.047303,-0.013992,-0.014096,-0.018174,-0.021662,-0.024148,0.0028594,
+ 0.01029,-0.011209,-0.0082667,-0.010408,0.018301,0.0025677,0.002066,0.020338,-0.009703,0.0014033,-0.0083895,0.019171,0.051874,0.011865,-0.012415,-0.0092653,-0.00085054,0.013343,-0.01754,-0.002096,0.018685,-0.0089012,-0.011406,-0.013634,0.0053699,
+ 0.013065,0.0061852,-0.01931,-0.024492,-0.0013983,0.0073914,-0.0066272,0.017187,-0.016293,-0.026624,-0.020286,0.02005,0.053055,0.020338,0.020487,-0.027791,-0.017894,-0.0101,-0.041414,0.011034,0.0088582,-0.006475,-0.0068052,0.0064488,-0.0042941,
+ -0.010343,-0.028723,-0.0053983,-0.01374,-0.029326,-0.049815,-0.036355,-0.0055914,-0.0022775,-0.007203,0.018381,0.044325,0.094884,0.045083,0.0046755,-0.012576,0.027413,0.015592,-0.041248,-0.024964,-0.048041,-0.04541,-0.0043235,-0.029982,-0.014502,
+ 0.017746,-0.015992,-0.027176,-0.0016935,0.039605,-0.008181,-0.0098833,-0.030282,-0.058384,0.025399,0.0094021,0.00035681,0.05972,0.02304,-0.0017117,0.043335,-0.039493,-0.031008,-0.012798,-0.01464,0.016878,0.007166,-0.0074393,-0.037354,0.014149,
+ -4.6093e-06,-7.2622e-06,-7.6834e-06,-6.9714e-06,-5e-06,-5.9784e-06,-6.2109e-06,-3.9642e-06,-5.6584e-06,-6.0324e-06,-6.4926e-06,-3.7826e-06,0.03125,-2.3969e-06,-5.6997e-06,-7.0378e-06,-7.2416e-06,-4.1644e-06,-5.4397e-06,-5.8029e-06,-5.1983e-06,-7.5856e-06,-7.7238e-06,-6.9213e-06,-4.7263e-06,
+ -0.0030044,0.0059219,0.0058844,0.016727,0.0021213,0.017586,-0.02644,-0.0401,-0.010032,0.022034,0.023732,-0.05497,0.092623,-0.033417,-0.016189,0.026427,-0.019933,-0.023361,-0.0086142,0.013127,0.0072843,0.00128,-0.021759,0.033992,0.0038339,
+ 0.004238,-0.012754,-0.0025555,0.012803,0.017022,-0.011831,-0.028892,-0.023674,-0.051561,0.02422,-0.012512,0.00025987,0.071229,0.0004289,0.00093794,0.0057987,-0.053384,-0.0073699,0.0048934,-0.012663,0.0059655,0.00069129,0.0082262,-0.004451,0.012931,
+ 0.011624,0.0046318,0.0031521,0.0015066,0.0030794,0.011075,-0.0013151,0.0031256,-0.0016375,-0.0024924,0.0038245,-0.0030981,0.035595,-0.00082805,-0.0044747,0.0013659,-0.0054627,-0.0021892,-0.0032666,-0.00088623,0.005186,0.005903,0.0066537,0.0042462,0.0046949,
+ 0.0042922,-0.012866,0.0077376,-0.0092877,0.0041404,-0.018346,-0.023602,0.0036819,-0.033829,-0.0025713,-0.0096208,0.042019,0.10133,0.010724,0.015642,-0.014492,-0.0099553,-0.004158,-0.047724,0.001651,0.0015475,-0.0043672,-0.0085801,-0.032517,0.013099,
+ 0.0036017,-0.015348,-0.0016007,-0.026466,-0.024156,-0.028922,-0.010726,0.035655,-0.01486,-0.024257,-0.072175,-0.014718,0.033047,0.0077159,-0.03106,-0.016381,-0.045895,0.040367,-0.029738,-0.045123,0.0014243,-0.024956,0.034193,-0.010747,-0.015423,
+};
+
+
+static const float biases1_64[] = {
+ -0.016607,
+ -0.011107,
+ -0.004831,
+ -0.048674,
+ -0.030041,
+ -0.072972,
+ -0.019459,
+ -0.009738,
+ 0.69512,
+ -0.073694,
+ -0.013542,
+ 0.010336,
+ -0.029562,
+ 0.018691,
+ -0.021675,
+ 0.0040888,
+ -0.080331,
+ -0.020802,
+ -0.00025044,
+ 0.015666,
+ -0.02444,
+ -0.00014609,
+ -5.0048e-05,
+ -0.0011854,
+ -8.3538e-05,
+ 0,
+ -0.00037627,
+ 0.029716,
+ -9.9403e-05,
+ -0.020137,
+ -0.00029498,
+ 0.019286,
+ 0.0055777,
+ -0.070032,
+ -0.024399,
+ -1.7727e-05,
+ 0.0050997,
+ -0.011212,
+ 0.0045361,
+ -0.024612,
+ -0.022536,
+ -0.00016232,
+ -0.00017363,
+ -1.5526e-05,
+ -0.065597,
+ -0.0065806,
+ 6.6839e-06,
+ 0.025229,
+ -0.0013731,
+ 0.030352,
+ 0,
+ 0.0032856,
+ 0.0055279,
+ 0.020767,
+ -0.0084906,
+ 0.026332,
+ -0.04679,
+ 0.01033,
+ -0.023649,
+ 0.027852,
+ 0.054407,
+ -0.080683,
+ -0.0094465,
+ -0.046632,
+};
+
+
+static const float biases2_32[] = {
+ 0.12326,
+ 0.13271,
+ 0.070827,
+ 0.051456,
+ 0.058446,
+ 0.13153,
+ 0.080973,
+ 0.10153,
+ 0.055915,
+ 0.052282,
+ -0.11213,
+ 0.074621,
+ -0.10301,
+ 0.10818,
+ 0.15687,
+ 0.18226,
+ 0.06781,
+ -0.027867,
+ 0.10958,
+ 0.034253,
+ 0.059884,
+ -0.048186,
+ 0.074781,
+ -0.073381,
+ -0.022101,
+ -0.049476,
+ 0.00016185,
+ 0.16787,
+ -0.086404,
+ 0.060469,
+ -0.17338,
+ 0.2655,
+};
+
+static const float biases3_1[] = {0.050377};
+
+const float *ff_cnn_weights[] = {
+ NULL, weights1_64x81, weights2_32x64x1, weights3_32x25
+};
+
+const float *ff_cnn_biases[] = {
+ NULL, biases1_64, biases2_32, biases3_1
+};
+
+#endif /* AVFILTER_SRCNN_WEIGHTS_H */
\ No newline at end of file
diff --git a/libavfilter/vf_srcnn.c b/libavfilter/vf_srcnn.c
new file mode 100644
index 0000000..3533e46
--- /dev/null
+++ b/libavfilter/vf_srcnn.c
@@ -0,0 +1,264 @@
+/*
+ * Copyright (c) 2018 Mina Sami
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * Super resolution filter
+ *
+ * @see https://arxiv.org/abs/1501.00092
+ */
+
+#include "libavutil/avassert.h"
+#include "libavutil/imgutils.h"
+#include "libavutil/opt.h"
+#include "avfilter.h"
+#include "formats.h"
+#include "internal.h"
+#include "srcnn_weights.h"
+#include "video.h"
+
+#define NUM_LAYERS 3
+
+typedef float** Kernel;
+
+typedef struct CNNLayer {
+ int num_filters, size_filter;
+ int in_num_filters;
+ Kernel **weights;
+ float *biases;
+ float **out;
+} CNNLayer;
+
+typedef struct SRCNNContext {
+ const AVClass *class;
+
+ CNNLayer layers[NUM_LAYERS+1];
+} SRCNNContext;
+
+static const AVOption srcnn_options[] = {
+ { NULL }
+};
+
+AVFILTER_DEFINE_CLASS(srcnn);
+
+static Kernel srcnn_malloc_kernel(int size)
+{
+ Kernel kernel;
+ int i;
+
+ if (!(kernel = av_malloc_array(size, sizeof(float*))))
+ return NULL;
+ for (i=0; i<size; ++i)
+ if (!(kernel[i] = av_malloc_array(size, sizeof(float))))
+ return NULL;
+ return kernel;
+}
+
+static av_cold int init(AVFilterContext *ctx)
+{
+ SRCNNContext *srcnn = ctx->priv;
+ int index, l, cf, pf, r, c;
+
+ for (l=1; l<=NUM_LAYERS; ++l) {
+ srcnn->layers[l].num_filters = ff_cnn_num_filters[l];
+ srcnn->layers[l].size_filter = ff_cnn_size_filters[l];
+ srcnn->layers[l].in_num_filters = ff_cnn_num_filters[l-1];
+
+ if (!(srcnn->layers[l].weights = av_malloc_array(srcnn->layers[l].num_filters, sizeof(Kernel*))))
+ return AVERROR(ENOMEM);
+ for (cf=0; cf<srcnn->layers[l].num_filters; ++cf) {
+ if (!(srcnn->layers[l].weights[cf] = av_malloc_array(srcnn->layers[l].in_num_filters, sizeof(Kernel) )))
+ return AVERROR(ENOMEM);
+ for (pf=0; pf<srcnn->layers[l].in_num_filters; ++pf)
+ if (!(srcnn->layers[l].weights[cf][pf] = srcnn_malloc_kernel(srcnn->layers[l].size_filter)))
+ return AVERROR(ENOMEM);
+ }
+ index = 0;
+ for (cf=0; cf<srcnn->layers[l].num_filters; ++cf)
+ for (pf=0; pf<srcnn->layers[l].in_num_filters; ++pf)
+ for (r=0; r<srcnn->layers[l].size_filter; ++r)
+ for (c=0; c<srcnn->layers[l].size_filter; ++c)
+ srcnn->layers[l].weights[cf][pf][r][c] = ff_cnn_weights[l][index++];
+
+ if (!(srcnn->layers[l].biases = av_malloc_array(srcnn->layers[l].num_filters, sizeof(float) )))
+ return AVERROR(ENOMEM);
+ memcpy(srcnn->layers[l].biases, ff_cnn_biases[l], srcnn->layers[l].num_filters);
+ }
+
+ return 0;
+}
+
+static int query_formats(AVFilterContext *ctx)
+{
+ static const enum AVPixelFormat pix_fmts[] = {
+ AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P,
+ AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUV420P,
+ AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P,
+ AV_PIX_FMT_NONE
+ };
+
+ return ff_set_common_formats(ctx, ff_make_format_list(pix_fmts));
+}
+
+static int config_props(AVFilterLink *inlink)
+{
+ AVFilterContext *ctx = inlink->dst;
+ SRCNNContext *srcnn = ctx->priv;
+ int l, f;
+
+ for (l=1; l<=NUM_LAYERS; ++l) {
+ if (!(srcnn->layers[l].out = av_malloc_array(srcnn->layers[l].num_filters, sizeof(float*) )))
+ return AVERROR(ENOMEM);
+ for (f=0; f<srcnn->layers[l].num_filters; ++f)
+ if (!(srcnn->layers[l].out[f] = av_malloc_array(inlink->w*inlink->h, sizeof(float) )))
+ return AVERROR(ENOMEM);
+ }
+
+ return 0;
+}
+
+#define THRESHOLD(val, thresh_min, thresh_max)({\
+ val = val < thresh_min ? thresh_min : val;\
+ val = val > thresh_max ? thresh_max : val;\
+})
+
+enum ConvDataType {
+ CONV_FLOAT,
+ CONV_UINT8
+};
+
+static void convolute(float *dst, const void **src, enum ConvDataType src_dt,
+ int n, int w, int h, int dst_linesize, int src_linesize,
+ int kernelsize, Kernel *kernel, float bias) {
+ int pivot = (kernelsize+1)>>2;
+ int rel_beg = -pivot;
+ int src_ind, src_rind, src_cind;
+ int row, col, i, j, k;
+ bias *= 255.0;
+
+ for (row=0; row<h; ++row) {
+ for (col=0; col<w; ++col) {
+ for (i=rel_beg; pivot+i<kernelsize; ++i) {
+ for (j=rel_beg; pivot+j<kernelsize; ++j) {
+ src_rind = row + i;
+ THRESHOLD(src_rind, 0, h-1);
+ src_cind = col + j;
+ THRESHOLD(src_cind, 0, w-1);
+ src_ind = src_rind*src_linesize + src_cind;
+ for (k=0; k<n; ++k) {
+ switch (src_dt) {
+ case CONV_FLOAT:
+ dst[col] += (((float**)src)[k][src_ind] * kernel[k][pivot+i][pivot+j]);
+ break;
+ case CONV_UINT8:
+ dst[col] += (((uint8_t**)src)[k][src_ind] * kernel[k][pivot+i][pivot+j]);
+ break;
+ }
+ }
+ }
+ }
+ dst[col] += bias;
+ dst[col] = FFMAX(0, dst[col]);
+ }
+ dst += dst_linesize;
+ }
+}
+
+static int filter_frame(AVFilterLink *inlink, AVFrame *in) {
+ AVFilterContext *ctx = inlink->dst;
+ SRCNNContext *srcnn = ctx->priv;
+ AVFilterLink *outlink = ctx->outputs[0];
+ AVFrame *out;
+ int cf, l, i, j;
+
+ out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
+ if (!out) {
+ av_frame_free(&in);
+ return AVERROR(ENOMEM);
+ }
+ av_frame_copy_props(out, in);
+
+ for (cf=0; cf<srcnn->layers[1].num_filters; ++cf)
+ convolute(srcnn->layers[1].out[cf], (const void **)&in->data, CONV_UINT8, 1, inlink->w, inlink->h,
+ inlink->w, in->linesize[0], srcnn->layers[1].size_filter, srcnn->layers[1].weights[cf],
+ srcnn->layers[1].biases[cf]);
+ for (l=2; l<=NUM_LAYERS; ++l)
+ for (cf=0; cf<srcnn->layers[l].num_filters; ++cf)
+ convolute(srcnn->layers[l].out[cf], (const void **)srcnn->layers[l-1].out, CONV_FLOAT, srcnn->layers[l].in_num_filters,
+ inlink->w, inlink->h, inlink->w, inlink->w, srcnn->layers[l].size_filter, srcnn->layers[l].weights[cf],
+ srcnn->layers[l].biases[cf]);
+
+ av_image_copy(out->data, out->linesize, (const uint8_t **)in->data, in->linesize, inlink->format, inlink->w, inlink->h);
+ for (i=0; i<inlink->h; ++i) {
+ for (j=0; j<inlink->w; ++j) {
+ THRESHOLD(srcnn->layers[NUM_LAYERS].out[0][i*inlink->w+j], 0, 255);
+ out->data[0][i*out->linesize[0]+j] = (uint8_t)srcnn->layers[NUM_LAYERS].out[0][i*inlink->w+j];
+ }
+ }
+
+ av_frame_free(&in);
+ return ff_filter_frame(outlink, out);
+}
+
+static av_cold void uninit(AVFilterContext *ctx)
+{
+ SRCNNContext *srcnn = ctx->priv;
+ int l, i, j;
+
+ for (l=1; l<=NUM_LAYERS; ++l) {
+ av_freep(&srcnn->layers[l].biases);
+ av_freep(srcnn->layers[l].out);
+ for (i=0; i<srcnn->layers[l].num_filters; ++i) {
+ for (j=0; j<srcnn->layers[l].in_num_filters; ++j)
+ av_freep(srcnn->layers[l].weights[i][j]);
+ av_freep(srcnn->layers[l].weights[i]);
+ }
+ av_freep(srcnn->layers[l].weights);
+ }
+}
+
+static const AVFilterPad srcnn_inputs[] = {
+ { .name = "default",
+ .type = AVMEDIA_TYPE_VIDEO,
+ .config_props = config_props,
+ .filter_frame = filter_frame,
+ },
+ { NULL }
+};
+
+static const AVFilterPad srcnn_outputs[] = {
+ { .name = "default",
+ .type = AVMEDIA_TYPE_VIDEO,
+ },
+ { NULL }
+};
+
+AVFilter ff_vf_srcnn = {
+ .name = "srcnn",
+ .description = NULL_IF_CONFIG_SMALL("Super resolution."),
+ .priv_size = sizeof(SRCNNContext),
+ .init = init,
+ .uninit = uninit,
+ .query_formats = query_formats,
+ .inputs = srcnn_inputs,
+ .outputs = srcnn_outputs,
+ .priv_class = &srcnn_class,
+ .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC,
+};
\ No newline at end of file
--
2.7.4
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