May 2018 - ffmpeg-cvslog - lists.ffmpeg.org

avfilter/af_afir: draw IR frequency response
by Paul B Mahol 29 May '18

29 May '18

ffmpeg | branch: master | Paul B Mahol <onemda(a)gmail.com> | Tue May 29 18:24:22 2018 +0200| [73438dbbbc872dc286f632f017eb292762efeaec] | committer: Paul B Mahol avfilter/af_afir: draw IR frequency response Signed-off-by: Paul B Mahol <onemda(a)gmail.com> > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=73438dbbbc872dc28… --- doc/filters.texi | 11 +++ libavfilter/af_afir.c | 210 ++++++++++++++++++++++++++++++++++++++++++++++---- libavfilter/af_afir.h | 4 + 3 files changed, 212 insertions(+), 13 deletions(-) diff --git a/doc/filters.texi b/doc/filters.texi index cf15186164..79a6c282cb 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -969,6 +969,17 @@ Enable applying gain measured from power of IR. @item maxir Set max allowed Impulse Response filter duration in seconds. Default is 30 seconds. Allowed range is 0.1 to 60 seconds. + +@item response +Show IR frequency reponse, magnitude and phase in additional video stream. +By default it is disabled. + +@item channel +Set for which IR channel to display frequency response. By default is first channel +displayed. This option is used only when @var{response} is enabled. + +@item size +Set video stream size. This option is used only when @var{response} is enabled. @end table @subsection Examples diff --git a/libavfilter/af_afir.c b/libavfilter/af_afir.c index 9318484cd0..cdc7d29e7e 100644 --- a/libavfilter/af_afir.c +++ b/libavfilter/af_afir.c @@ -23,10 +23,14 @@ * An arbitrary audio FIR filter */ +#include <float.h> + #include "libavutil/audio_fifo.h" #include "libavutil/common.h" #include "libavutil/float_dsp.h" +#include "libavutil/intreadwrite.h" #include "libavutil/opt.h" +#include "libavutil/xga_font_data.h" #include "libavcodec/avfft.h" #include "audio.h" @@ -162,6 +166,122 @@ static int fir_frame(AudioFIRContext *s, AVFilterLink *outlink) return ret; } +static void drawtext(AVFrame *pic, int x, int y, const char *txt, uint32_t color) +{ + const uint8_t *font; + int font_height; + int i; + + font = avpriv_cga_font, font_height = 8; + + for (i = 0; txt[i]; i++) { + int char_y, mask; + + uint8_t *p = pic->data[0] + y * pic->linesize[0] + (x + i * 8) * 4; + for (char_y = 0; char_y < font_height; char_y++) { + for (mask = 0x80; mask; mask >>= 1) { + if (font[txt[i] * font_height + char_y] & mask) + AV_WL32(p, color); + p += 4; + } + p += pic->linesize[0] - 8 * 4; + } + } +} + +static void draw_line(AVFrame *out, int x0, int y0, int x1, int y1, uint32_t color) +{ + int dx = FFABS(x1-x0), sx = x0 < x1 ? 1 : -1; + int dy = FFABS(y1-y0), sy = y0 < y1 ? 1 : -1; + int err = (dx>dy ? dx : -dy) / 2, e2; + + for (;;) { + AV_WL32(out->data[0] + y0 * out->linesize[0] + x0 * 4, color); + + if (x0 == x1 && y0 == y1) + break; + + e2 = err; + + if (e2 >-dx) { + err -= dy; + x0 += sx; + } + + if (e2 < dy) { + err += dx; + y0 += sy; + } + } +} + +static void draw_response(AVFilterContext *ctx, AVFrame *out) +{ + AudioFIRContext *s = ctx->priv; + float *mag, *phase, min = FLT_MAX, max = FLT_MIN; + int prev_ymag = -1, prev_yphase = -1; + char text[32]; + int channel, i, x; + + memset(out->data[0], 0, s->h * out->linesize[0]); + + phase = av_malloc_array(s->w, sizeof(*phase)); + mag = av_malloc_array(s->w, sizeof(*mag)); + if (!mag || !phase) + goto end; + + channel = av_clip(s->ir_channel, 0, s->in[1]->channels); + for (i = 0; i < s->w; i++) { + const float *src = (const float *)s->in[1]->extended_data[channel]; + double w = i * M_PI / (s->w - 1); + double real = 0.; + double imag = 0.; + + for (x = 0; x < s->nb_taps; x++) { + real += cos(-x * w) * src[x]; + imag += sin(-x * w) * src[x]; + } + + mag[i] = hypot(real, imag); + phase[i] = atan2(imag, real); + min = fminf(min, mag[i]); + max = fmaxf(max, mag[i]); + } + + for (i = 0; i < s->w; i++) { + int ymag = mag[i] / max * (s->h - 1); + int yphase = (0.5 * (1. + phase[i] / M_PI)) * (s->h - 1); + + ymag = s->h - 1 - av_clip(ymag, 0, s->h - 1); + yphase = s->h - 1 - av_clip(yphase, 0, s->h - 1); + + if (prev_ymag < 0) + prev_ymag = ymag; + if (prev_yphase < 0) + prev_yphase = yphase; + + draw_line(out, i, ymag, FFMAX(i - 1, 0), prev_ymag, 0xFFFF00FF); + draw_line(out, i, yphase, FFMAX(i - 1, 0), prev_yphase, 0xFF00FF00); + + prev_ymag = ymag; + prev_yphase = yphase; + } + + if (s->w > 400 && s->h > 100) { + drawtext(out, 2, 2, "Max Magnitude:", 0xDDDDDDDD); + snprintf(text, sizeof(text), "%.2f", max); + drawtext(out, 15 * 8 + 2, 2, text, 0xDDDDDDDD); + + drawtext(out, 2, 12, "Min Magnitude:", 0xDDDDDDDD); + snprintf(text, sizeof(text), "%.2f", min); + drawtext(out, 15 * 8 + 2, 12, text, 0xDDDDDDDD); + } + +end: + av_free(phase); + av_free(mag); +} + static int convert_coeffs(AVFilterContext *ctx) { AudioFIRContext *s = ctx->priv; @@ -216,6 +336,9 @@ static int convert_coeffs(AVFilterContext *ctx) av_audio_fifo_read(s->fifo[1], (void **)s->in[1]->extended_data, s->nb_taps); + if (s->response) + draw_response(ctx, s->video); + if (s->again) { float power = 0; @@ -322,6 +445,13 @@ static int filter_frame(AVFilterLink *link, AVFrame *frame) return ret; } + if (s->response && s->have_coeffs) { + s->video->pts = s->pts; + ret = ff_filter_frame(ctx->outputs[1], av_frame_clone(s->video)); + if (ret < 0) + return ret; + } + if (s->have_coeffs) { while (av_audio_fifo_size(s->fifo[0]) >= s->part_size) { ret = fir_frame(s, outlink); @@ -373,14 +503,26 @@ static int request_frame(AVFilterLink *outlink) static int query_formats(AVFilterContext *ctx) { + AudioFIRContext *s = ctx->priv; AVFilterFormats *formats; AVFilterChannelLayouts *layouts; static const enum AVSampleFormat sample_fmts[] = { AV_SAMPLE_FMT_FLTP, AV_SAMPLE_FMT_NONE }; + static const enum AVPixelFormat pix_fmts[] = { + AV_PIX_FMT_RGB0, + AV_PIX_FMT_NONE + }; int ret, i; + if (s->response) { + AVFilterLink *videolink = ctx->outputs[1]; + formats = ff_make_format_list(pix_fmts); + if ((ret = ff_formats_ref(formats, &videolink->in_formats)) < 0) + return ret; + } + layouts = ff_all_channel_counts(); if ((ret = ff_channel_layouts_ref(layouts, &ctx->outputs[0]->in_channel_layouts)) < 0) return ret; @@ -488,11 +630,59 @@ static av_cold void uninit(AVFilterContext *ctx) av_audio_fifo_free(s->fifo[1]); av_freep(&s->fdsp); + + av_freep(&ctx->output_pads[0].name); + if (s->response) + av_freep(&ctx->output_pads[1].name); + av_frame_free(&s->video); +} + +static int config_video(AVFilterLink *outlink) +{ + AVFilterContext *ctx = outlink->src; + AudioFIRContext *s = ctx->priv; + + outlink->sample_aspect_ratio = (AVRational){1,1}; + outlink->w = s->w; + outlink->h = s->h; + + av_frame_free(&s->video); + s->video = ff_get_video_buffer(outlink, outlink->w, outlink->h); + if (!s->video) + return AVERROR(ENOMEM); + + return 0; } static av_cold int init(AVFilterContext *ctx) { AudioFIRContext *s = ctx->priv; + AVFilterPad pad, vpad; + + pad = (AVFilterPad){ + .name = av_strdup("default"), + .type = AVMEDIA_TYPE_AUDIO, + .config_props = config_output, + .request_frame = request_frame, + }; + + if (!pad.name) + return AVERROR(ENOMEM); + + if (s->response) { + vpad = (AVFilterPad){ + .name = av_strdup("filter_response"), + .type = AVMEDIA_TYPE_VIDEO, + .config_props = config_video, + }; + if (!vpad.name) + return AVERROR(ENOMEM); + } + + ff_insert_outpad(ctx, 0, &pad); + + if (s->response) + ff_insert_outpad(ctx, 1, &vpad); s->fcmul_add = fcmul_add_c; @@ -519,17 +709,8 @@ static const AVFilterPad afir_inputs[] = { { NULL } }; -static const AVFilterPad afir_outputs[] = { - { - .name = "default", - .type = AVMEDIA_TYPE_AUDIO, - .config_props = config_output, - .request_frame = request_frame, - }, - { NULL } -}; - #define AF AV_OPT_FLAG_AUDIO_PARAM|AV_OPT_FLAG_FILTERING_PARAM +#define VF AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM #define OFFSET(x) offsetof(AudioFIRContext, x) static const AVOption afir_options[] = { @@ -537,7 +718,10 @@ static const AVOption afir_options[] = { { "wet", "set wet gain", OFFSET(wet_gain), AV_OPT_TYPE_FLOAT, {.dbl=1}, 0, 10, AF }, { "length", "set IR length", OFFSET(length), AV_OPT_TYPE_FLOAT, {.dbl=1}, 0, 1, AF }, { "again", "enable auto gain", OFFSET(again), AV_OPT_TYPE_BOOL, {.i64=1}, 0, 1, AF }, - { "maxir", "set max ir length", OFFSET(max_ir_len), AV_OPT_TYPE_FLOAT, {.dbl=30}, 0.1, 60, AF }, + { "maxir", "set max IR length", OFFSET(max_ir_len), AV_OPT_TYPE_FLOAT, {.dbl=30}, 0.1, 60, AF }, + { "response", "show IR frequency response", OFFSET(response), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, VF }, + { "channel", "set IR channel to display frequency response", OFFSET(ir_channel), AV_OPT_TYPE_INT, {.i64=0}, 0, 1024, VF }, + { "size", "set video size", OFFSET(w), AV_OPT_TYPE_IMAGE_SIZE, {.str = "hd720"}, 0, 0, VF }, { NULL } }; @@ -552,6 +736,6 @@ AVFilter ff_af_afir = { .init = init, .uninit = uninit, .inputs = afir_inputs, - .outputs = afir_outputs, - .flags = AVFILTER_FLAG_SLICE_THREADS, + .flags = AVFILTER_FLAG_DYNAMIC_OUTPUTS | + AVFILTER_FLAG_SLICE_THREADS, }; diff --git a/libavfilter/af_afir.h b/libavfilter/af_afir.h index 7712e6ada8..2ae12cbc50 100644 --- a/libavfilter/af_afir.h +++ b/libavfilter/af_afir.h @@ -40,6 +40,9 @@ typedef struct AudioFIRContext { float length; int again; float max_ir_len; + int response; + int w, h; + int ir_channel; float gain; @@ -69,6 +72,7 @@ typedef struct AudioFIRContext { AVAudioFifo *fifo[2]; AVFrame *in[2]; AVFrame *buffer; + AVFrame *video; int64_t pts; int index;

1 0

Adds dnn inference module for simple convolutional networks. Reimplements srcnn filter based on it.
by Sergey Lavrushkin 29 May '18

29 May '18

ffmpeg | branch: master | Sergey Lavrushkin <dualfal(a)gmail.com> | Fri May 25 20:31:04 2018 +0300| [bdf1bbdbb4ebb342c0267d0f77cd06e717197e65] | committer: Pedro Arthur Adds dnn inference module for simple convolutional networks. Reimplements srcnn filter based on it. Signed-off-by: Pedro Arthur <bygrandao(a)gmail.com> > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=bdf1bbdbb4ebb342c… --- Changelog | 2 + libavfilter/Makefile | 2 + libavfilter/dnn_backend_native.c | 382 +++++++ libavfilter/dnn_backend_native.h | 40 + libavfilter/dnn_interface.c | 48 + libavfilter/dnn_interface.h | 64 ++ libavfilter/dnn_srcnn.h | 2080 ++++++++++++++++++++++++++++++++++++++ libavfilter/vf_srcnn.c | 300 ++---- libavfilter/vf_srcnn.h | 855 ---------------- 9 files changed, 2680 insertions(+), 1093 deletions(-) diff --git a/Changelog b/Changelog index 3d2556448e..df2024fb59 100644 --- a/Changelog +++ b/Changelog @@ -9,6 +9,8 @@ version <next>: - aderivative and aintegral audio filters - pal75bars and pal100bars video filter sources - support mbedTLS based TLS +- DNN inference interface +- Reimplemented SRCNN filter using DNN inference interface version 4.0: diff --git a/libavfilter/Makefile b/libavfilter/Makefile index c68ef05fdc..3201cbeacf 100644 --- a/libavfilter/Makefile +++ b/libavfilter/Makefile @@ -12,6 +12,8 @@ OBJS = allfilters.o \ avfiltergraph.o \ buffersink.o \ buffersrc.o \ + dnn_interface.o \ + dnn_backend_native.o \ drawutils.o \ fifo.o \ formats.o \ diff --git a/libavfilter/dnn_backend_native.c b/libavfilter/dnn_backend_native.c new file mode 100644 index 0000000000..6e80dd3663 --- /dev/null +++ b/libavfilter/dnn_backend_native.c @@ -0,0 +1,382 @@ +/* + * Copyright (c) 2018 Sergey Lavrushkin + * + * 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 + * DNN native backend implementation. + */ + +#include "dnn_backend_native.h" +#include "dnn_srcnn.h" +#include "libavformat/avio.h" + +typedef enum {INPUT, CONV} LayerType; + +typedef struct Layer{ + LayerType type; + float* output; + void* params; +} Layer; + +typedef struct ConvolutionalParams{ + int32_t input_num, output_num, kernel_size; + float* kernel; + float* biases; +} ConvolutionalParams; + +typedef struct InputParams{ + int height, width, channels; +} InputParams; + +// Represents simple feed-forward convolutional network. +typedef struct ConvolutionalNetwork{ + Layer* layers; + int32_t layers_num; +} ConvolutionalNetwork; + +static DNNReturnType set_input_output_native(void* model, const DNNData* input, const DNNData* output) +{ + ConvolutionalNetwork* network = (ConvolutionalNetwork*)model; + InputParams* input_params; + ConvolutionalParams* conv_params; + int cur_width, cur_height, cur_channels; + int32_t layer; + + if (network->layers_num <= 0 || network->layers[0].type != INPUT){ + return DNN_ERROR; + } + else{ + network->layers[0].output = input->data; + input_params = (InputParams*)network->layers[0].params; + input_params->width = cur_width = input->width; + input_params->height = cur_height = input->height; + input_params->channels = cur_channels = input->channels; + } + + for (layer = 1; layer < network->layers_num; ++layer){ + switch (network->layers[layer].type){ + case CONV: + conv_params = (ConvolutionalParams*)network->layers[layer].params; + if (conv_params->input_num != cur_channels){ + return DNN_ERROR; + } + cur_channels = conv_params->output_num; + if (layer < network->layers_num - 1){ + if (!network->layers[layer].output){ + av_freep(&network->layers[layer].output); + } + network->layers[layer].output = av_malloc(cur_height * cur_width * cur_channels * sizeof(float)); + if (!network->layers[layer].output){ + return DNN_ERROR; + } + } + else{ + network->layers[layer].output = output->data; + if (output->width != cur_width || output->height != cur_height || output->channels != cur_channels){ + return DNN_ERROR; + } + } + break; + default: + return DNN_ERROR; + } + } + + return DNN_SUCCESS; +} + +// Loads model and its parameters that are stored in a binary file with following structure: +// layers_num,conv_input_num,conv_output_num,conv_kernel_size,conv_kernel,conv_biases,conv_input_num... +DNNModel* ff_dnn_load_model_native(const char* model_filename) +{ + DNNModel* model = NULL; + ConvolutionalNetwork* network = NULL; + AVIOContext* model_file_context; + int file_size, dnn_size, kernel_size, i; + int32_t layer; + ConvolutionalParams* conv_params; + + model = av_malloc(sizeof(DNNModel)); + if (!model){ + return NULL; + } + + if (avio_open(&model_file_context, model_filename, AVIO_FLAG_READ) < 0){ + av_freep(&model); + return NULL; + } + file_size = avio_size(model_file_context); + + network = av_malloc(sizeof(ConvolutionalNetwork)); + if (!network){ + avio_closep(&model_file_context); + av_freep(&model); + return NULL; + } + model->model = (void*)network; + + network->layers_num = 1 + (int32_t)avio_rl32(model_file_context); + dnn_size = 4; + + network->layers = av_malloc(network->layers_num * sizeof(Layer)); + if (!network->layers){ + av_freep(&network); + avio_closep(&model_file_context); + av_freep(&model); + return NULL; + } + + for (layer = 0; layer < network->layers_num; ++layer){ + network->layers[layer].output = NULL; + network->layers[layer].params = NULL; + } + network->layers[0].type = INPUT; + network->layers[0].params = av_malloc(sizeof(InputParams)); + if (!network->layers[0].params){ + avio_closep(&model_file_context); + ff_dnn_free_model_native(&model); + return NULL; + } + + for (layer = 1; layer < network->layers_num; ++layer){ + conv_params = av_malloc(sizeof(ConvolutionalParams)); + if (!conv_params){ + avio_closep(&model_file_context); + ff_dnn_free_model_native(&model); + return NULL; + } + conv_params->input_num = (int32_t)avio_rl32(model_file_context); + conv_params->output_num = (int32_t)avio_rl32(model_file_context); + conv_params->kernel_size = (int32_t)avio_rl32(model_file_context); + kernel_size = conv_params->input_num * conv_params->output_num * + conv_params->kernel_size * conv_params->kernel_size; + dnn_size += 12 + (kernel_size + conv_params->output_num << 2); + if (dnn_size > file_size || conv_params->input_num <= 0 || + conv_params->output_num <= 0 || conv_params->kernel_size <= 0){ + avio_closep(&model_file_context); + ff_dnn_free_model_native(&model); + return NULL; + } + conv_params->kernel = av_malloc(kernel_size * sizeof(float)); + conv_params->biases = av_malloc(conv_params->output_num * sizeof(float)); + if (!conv_params->kernel || !conv_params->biases){ + avio_closep(&model_file_context); + ff_dnn_free_model_native(&model); + return NULL; + } + for (i = 0; i < kernel_size; ++i){ + conv_params->kernel[i] = av_int2float(avio_rl32(model_file_context)); + } + for (i = 0; i < conv_params->output_num; ++i){ + conv_params->biases[i] = av_int2float(avio_rl32(model_file_context)); + } + network->layers[layer].type = CONV; + network->layers[layer].params = conv_params; + } + + avio_closep(&model_file_context); + + if (dnn_size != file_size){ + ff_dnn_free_model_native(&model); + return NULL; + } + + model->set_input_output = &set_input_output_native; + + return model; +} + +static int set_up_conv_layer(Layer* layer, const float* kernel, const float* biases, int32_t input_num, int32_t output_num, int32_t size) +{ + ConvolutionalParams* conv_params; + int kernel_size; + + conv_params = av_malloc(sizeof(ConvolutionalParams)); + if (!conv_params){ + return DNN_ERROR; + } + conv_params->input_num = input_num; + conv_params->output_num = output_num; + conv_params->kernel_size = size; + kernel_size = input_num * output_num * size * size; + conv_params->kernel = av_malloc(kernel_size * sizeof(float)); + conv_params->biases = av_malloc(conv_params->output_num * sizeof(float)); + if (!conv_params->kernel || !conv_params->biases){ + av_freep(&conv_params->kernel); + av_freep(&conv_params->biases); + av_freep(&conv_params); + return DNN_ERROR; + } + memcpy(conv_params->kernel, kernel, kernel_size * sizeof(float)); + memcpy(conv_params->biases, biases, output_num * sizeof(float)); + layer->type = CONV; + layer->params = conv_params; + + return DNN_SUCCESS; +} + +DNNModel* ff_dnn_load_default_model_native(DNNDefaultModel model_type) +{ + DNNModel* model = NULL; + ConvolutionalNetwork* network = NULL; + int32_t layer; + + model = av_malloc(sizeof(DNNModel)); + if (!model){ + return NULL; + } + + network = av_malloc(sizeof(ConvolutionalNetwork)); + if (!network){ + av_freep(&model); + return NULL; + } + model->model = (void*)network; + + switch (model_type){ + case DNN_SRCNN: + network->layers_num = 4; + + network->layers = av_malloc(network->layers_num * sizeof(Layer)); + if (!network->layers){ + av_freep(&network); + av_freep(&model); + return NULL; + } + + for (layer = 0; layer < network->layers_num; ++layer){ + network->layers[layer].output = NULL; + network->layers[layer].params = NULL; + } + network->layers[0].type = INPUT; + network->layers[0].params = av_malloc(sizeof(InputParams)); + if (!network->layers[0].params){ + ff_dnn_free_model_native(&model); + return NULL; + } + + if (set_up_conv_layer(network->layers + 1, conv1_kernel, conv1_biases, 1, 64, 9) != DNN_SUCCESS || + set_up_conv_layer(network->layers + 2, conv2_kernel, conv2_biases, 64, 32, 1) != DNN_SUCCESS || + set_up_conv_layer(network->layers + 3, conv3_kernel, conv3_biases, 32, 1, 5) != DNN_SUCCESS){ + ff_dnn_free_model_native(&model); + return NULL; + } + + model->set_input_output = &set_input_output_native; + + return model; + default: + av_freep(&network); + av_freep(&model); + return NULL; + } +} + +#define CLAMP_TO_EDGE(x, w) ((x) < 0 ? 0 : ((x) >= (w) ? (w - 1) : (x))) + +static void convolve(const float* input, float* output, const ConvolutionalParams* conv_params, int32_t width, int32_t height) +{ + int y, x, n_filter, ch, kernel_y, kernel_x; + int radius = conv_params->kernel_size >> 1; + int src_linesize = width * conv_params->input_num; + int filter_linesize = conv_params->kernel_size * conv_params->input_num; + int filter_size = conv_params->kernel_size * filter_linesize; + + for (y = 0; y < height; ++y){ + for (x = 0; x < width; ++x){ + for (n_filter = 0; n_filter < conv_params->output_num; ++n_filter){ + output[n_filter] = conv_params->biases[n_filter]; + for (ch = 0; ch < conv_params->input_num; ++ch){ + for (kernel_y = 0; kernel_y < conv_params->kernel_size; ++kernel_y){ + for (kernel_x = 0; kernel_x < conv_params->kernel_size; ++kernel_x){ + output[n_filter] += input[CLAMP_TO_EDGE(y + kernel_y - radius, height) * src_linesize + + CLAMP_TO_EDGE(x + kernel_x - radius, width) * conv_params->input_num + ch] * + conv_params->kernel[n_filter * filter_size + kernel_y * filter_linesize + + kernel_x * conv_params->input_num + ch]; + } + } + } + output[n_filter] = FFMAX(output[n_filter], 0.0); + } + output += conv_params->output_num; + } + } +} + +DNNReturnType ff_dnn_execute_model_native(const DNNModel* model) +{ + ConvolutionalNetwork* network = (ConvolutionalNetwork*)model->model; + InputParams* input_params; + int cur_width, cur_height; + int32_t layer; + + if (network->layers_num <= 0 || network->layers[0].type != INPUT || !network->layers[0].output){ + return DNN_ERROR; + } + else{ + input_params = (InputParams*)network->layers[0].params; + cur_width = input_params->width; + cur_height = input_params->height; + } + + for (layer = 1; layer < network->layers_num; ++layer){ + if (!network->layers[layer].output){ + return DNN_ERROR; + } + switch (network->layers[layer].type){ + case CONV: + convolve(network->layers[layer - 1].output, network->layers[layer].output, (ConvolutionalParams*)network->layers[layer].params, cur_width, cur_height); + break; + case INPUT: + return DNN_ERROR; + } + } + + return DNN_SUCCESS; +} + +void ff_dnn_free_model_native(DNNModel** model) +{ + ConvolutionalNetwork* network; + ConvolutionalParams* conv_params; + int32_t layer; + + if (*model) + { + network = (ConvolutionalNetwork*)(*model)->model; + for (layer = 0; layer < network->layers_num; ++layer){ + switch (network->layers[layer].type){ + case CONV: + if (layer < network->layers_num - 1){ + av_freep(&network->layers[layer].output); + } + conv_params = (ConvolutionalParams*)network->layers[layer].params; + av_freep(&conv_params->kernel); + av_freep(&conv_params->biases); + av_freep(&conv_params); + break; + case INPUT: + av_freep(&network->layers[layer].params); + } + } + av_freep(network); + av_freep(model); + } +} diff --git a/libavfilter/dnn_backend_native.h b/libavfilter/dnn_backend_native.h new file mode 100644 index 0000000000..599c1302e2 --- /dev/null +++ b/libavfilter/dnn_backend_native.h @@ -0,0 +1,40 @@ +/* + * Copyright (c) 2018 Sergey Lavrushkin + * + * 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 + * DNN inference functions interface for native backend. + */ + + +#ifndef AVFILTER_DNN_BACKEND_NATIVE_H +#define AVFILTER_DNN_BACKEND_NATIVE_H + +#include "dnn_interface.h" + +DNNModel* ff_dnn_load_model_native(const char* model_filename); + +DNNModel* ff_dnn_load_default_model_native(DNNDefaultModel model_type); + +DNNReturnType ff_dnn_execute_model_native(const DNNModel* model); + +void ff_dnn_free_model_native(DNNModel** model); + +#endif diff --git a/libavfilter/dnn_interface.c b/libavfilter/dnn_interface.c new file mode 100644 index 0000000000..e981829b95 --- /dev/null +++ b/libavfilter/dnn_interface.c @@ -0,0 +1,48 @@ +/* + * Copyright (c) 2018 Sergey Lavrushkin + * + * 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 + * Implements DNN module initialization with specified backend. + */ + +#include "dnn_interface.h" +#include "dnn_backend_native.h" +#include "libavutil/mem.h" + +DNNModule* ff_get_dnn_module(DNNBackendType backend_type) +{ + DNNModule* dnn_module; + + dnn_module = av_malloc(sizeof(DNNModule)); + if(!dnn_module){ + return NULL; + } + + switch(backend_type){ + case DNN_NATIVE: + dnn_module->load_model = &ff_dnn_load_model_native; + dnn_module->load_default_model = &ff_dnn_load_default_model_native; + dnn_module->execute_model = &ff_dnn_execute_model_native; + dnn_module->free_model = &ff_dnn_free_model_native; + } + + return dnn_module; +} diff --git a/libavfilter/dnn_interface.h b/libavfilter/dnn_interface.h new file mode 100644 index 0000000000..52e344cee4 --- /dev/null +++ b/libavfilter/dnn_interface.h @@ -0,0 +1,64 @@ +/* + * Copyright (c) 2018 Sergey Lavrushkin + * + * 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 + * DNN inference engine interface. + */ + +#ifndef AVFILTER_DNN_INTERFACE_H +#define AVFILTER_DNN_INTERFACE_H + +typedef enum {DNN_SUCCESS, DNN_ERROR} DNNReturnType; + +typedef enum {DNN_NATIVE} DNNBackendType; + +typedef enum {DNN_SRCNN} DNNDefaultModel; + +typedef struct DNNData{ + float* data; + int width, height, channels; +} DNNData; + + +typedef struct DNNModel{ + // Stores model that can be different for different backends. + void* model; + // Sets model input and output, while allocating additional memory for intermediate calculations. + // Should be called at least once before model execution. + DNNReturnType (*set_input_output)(void* model, const DNNData* input, const DNNData* output); +} DNNModel; + +// Stores pointers to functions for loading, executing, freeing DNN models for one of the backends. +typedef struct DNNModule{ + // Loads model and parameters from given file. Returns NULL if it is not possible. + DNNModel* (*load_model)(const char* model_filename); + // Loads one of the default models + DNNModel* (*load_default_model)(DNNDefaultModel model_type); + // Executes model with specified input and output. Returns DNN_ERROR otherwise. + DNNReturnType (*execute_model)(const DNNModel* model); + // Frees memory allocated for model. + void (*free_model)(DNNModel** model); +} DNNModule; + +// Initializes DNNModule depending on chosen backend. +DNNModule* ff_get_dnn_module(DNNBackendType backend_type); + +#endif diff --git a/libavfilter/dnn_srcnn.h b/libavfilter/dnn_srcnn.h new file mode 100644 index 0000000000..e3105e4281 --- /dev/null +++ b/libavfilter/dnn_srcnn.h @@ -0,0 +1,2080 @@ +/* + * Copyright (c) 2018 Sergey Lavrushkin + * + * 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 + * Default cnn weights for x2 upsampling with srcnn filter. + */ + +#ifndef AVFILTER_DNN_SRCNN_H +#define AVFILTER_DNN_SRCNN_H + +static const float conv1_kernel[] = { + -0.08866338f, 0.055409566f, 0.037196506f, -0.11961404f, + -0.12341991f, 0.29963422f, -0.0911817f, -0.00013613555f, + -0.049023595f, 0.038421184f, -0.077267796f, 0.027273094f, + 0.4576209f, 0.023581645f, -0.20363852f, -0.07738442f, + 0.07288404f, 0.06679897f, -0.07315085f, 0.2665306f, + 0.07836371f, -0.28985283f, -0.5069129f, 0.04466513f, + -0.06246859f, -0.024424827f, -0.02907293f, -0.16884787f, + 0.20686236f, -0.25367007f, -0.384997f, -0.12601902f, + 0.72578824f, 0.09588378f, -0.044872783f, -0.011251596f, + -0.029558526f, 0.2211706f, -0.38453165f, -0.053509537f, + 0.109559156f, 0.37257388f, -0.28968045f, -0.10883619f, + 0.1962879f, 0.09746793f, -0.005647097f, -0.13035884f, + 0.6254252f, 0.19104235f, -0.011692332f, -0.2706789f, + -0.030754156f, 0.029875506f, 0.01680875f, -0.18317908f, + -0.1601607f, 0.35982913f, -0.18890111f, -0.2234334f, + -0.11111768f, 0.32211426f, -0.18514074f, -0.066470124f, + 0.18005541f, -0.035659794f, -0.25352174f, -0.1837048f, + 0.28395423f, 0.0030237234f, 0.24072711f, -0.14355472f, + 0.047418743f, -0.032212373f, -0.08801338f, 0.2959175f, + 0.04108741f, -0.10354422f, -0.11681117f, -0.010267493f, + 0.023703521f, -0.043954458f, 0.095338844f, 0.122337975f, + -0.05211482f, 0.068812296f, 0.05764868f, 0.086866505f, + -0.12001238f, 0.023536388f, -0.022270674f, -0.06377912f, + 0.010644146f, -0.27824146f, -0.23719865f, -0.21418367f, + -0.096650206f, 0.10458535f, 0.06599419f, -0.031174282f, + -0.034653533f, 0.022143817f, -0.24322355f, -0.089235984f, + -0.027248107f, -0.09314897f, -0.037409738f, 0.07819665f, + 0.12521376f, 0.11189836f, 0.34981978f, 0.24303557f, + 0.21350804f, 0.37120733f, 0.12192775f, -0.15492134f, + 0.018840319f, -0.08351074f, -0.3054998f, -0.114621654f, + -0.11833595f, -0.3502763f, -0.0077491426f, -0.051849455f, + -0.14423956f, -0.040475942f, 0.18357797f, 0.16708122f, + 0.07486253f, 0.17892863f, 0.12331069f, 0.16825254f, + -0.040668704f, 0.12498869f, 0.12445469f, -0.08529795f, + -0.23087382f, -0.242645f, -0.0033642692f, -0.019013511f, + 0.007406716f, -0.0976248f, 0.09727376f, -0.1430845f, + 0.20924512f, 0.04731563f, 0.17839451f, 0.2014277f, + -0.21384318f, -0.16858183f, 0.07769212f, 0.114782944f, + 0.0022495266f, -0.095246606f, -0.11904185f, -0.119040586f, + 0.119354986f, 0.040786922f, -0.07873279f, 0.19328512f, + -0.06008545f, -0.03619225f, -0.03508937f, -0.021296037f, + 0.04467616f, 0.035148017f, 0.047732554f, -0.036008984f, + -0.09819481f, -0.07464613f, 0.16331302f, 0.05766148f, + -0.060683597f, 0.023710888f, 0.040778793f, 0.01952822f, + -0.047095288f, -0.0026468062f, 0.013081373f, -0.048433363f, + -0.05547124f, -0.007511544f, -0.0018498366f, 0.0063248295f, + 0.08334494f, -0.03534594f, -0.058733407f, -0.11714734f, + -0.0496851f, -0.010657697f, 0.08840381f, 0.068287104f, + 0.020970112f, 0.2620501f, 0.11938151f, 0.042141f, + -0.064056866f, -0.04790669f, 0.054825947f, 0.07402177f, + 0.21512434f, 0.25780582f, 0.4271634f, 0.18216214f, + 0.12531154f, 0.103901714f, -0.0104828905f, -0.07587306f, + -0.01289812f, 0.100657016f, 0.073730744f, 0.1594899f, + -0.08611099f, 0.0066837906f, 0.107562296f, -0.10216449f, + -0.121009395f, 0.00951384f, 0.04604567f, 0.067058936f, + 0.21903297f, 0.026905395f, 0.0053238617f, 0.00067650457f, + -0.042836767f, -0.025259271f, -0.009707702f, -0.0009789661f, + 0.043257646f, 0.088092126f, 0.018156063f, -0.012795507f, + -0.10799489f, 0.044633016f, 0.13564141f, 0.033341955f, + -0.12862708f, -0.13122201f, -0.009230303f, -0.019398134f, + -0.005852208f, -0.05510853f, -0.039392535f, 0.036042538f, + -0.017754223f, 0.012287495f, 0.08819248f, -0.04256459f, + -0.08412625f, 0.003404226f, 0.095139764f, -0.01955163f, + -0.09674753f, 0.18024282f, -0.08090512f, -0.24444069f, + 0.006856921f, 0.1304172f, 0.025669439f, -0.23943077f, + 0.044755235f, -0.016099237f, -0.18014333f, -0.119650446f, + 0.15631895f, 0.23565492f, -0.016446924f, 0.088609904f, + 0.030303521f, 0.037084505f, 0.20704922f, -0.30848193f, + 0.2985248f, 0.51717925f, 0.008160744f, -0.3112909f, + -0.12307852f, 0.23214605f, -0.034601245f, -0.053407326f, + 0.10225691f, 0.21641655f, -0.006494026f, -0.2507584f, + -0.20448849f, 0.050536312f, 0.12135548f, -0.24142836f, + -0.28441224f, 0.33926067f, -0.18576817f, -0.49420735f, + -0.097031295f, 0.0031086628f, 0.15142952f, -0.08352979f, + 0.11525617f, 0.1575496f, 0.11142445f, 0.0034580992f, + -0.17606017f, 0.16817984f, 0.09105344f, 0.039175604f, + -0.09479037f, 0.056350756f, 0.02523156f, -0.2455007f, + 0.063366f, 0.16318576f, 0.21757606f, -0.10586289f, + -0.08236702f, 0.06969914f, -0.024705412f, -0.053974763f, + 0.17869812f, -0.027807202f, -0.19675265f, -0.1037345f, + 0.008513543f, 0.13250032f, -0.045926444f, -0.0030838586f, + -0.040477958f, 0.049372006f, -0.1366689f, 0.13786657f, + -0.13875751f, 0.29655218f, 0.17230958f, -0.13066995f, + -0.048650246f, 0.04459606f, -0.03141404f, 0.031236706f, + 0.14699893f, -0.4883143f, -0.44782618f, -0.32052815f, + 0.22293234f, 0.11625721f, 0.030552648f, -0.13195507f, + -0.0958492f, 0.070505545f, -0.14855938f, 0.10478757f, + -0.16068053f, -0.12290131f, -0.13379076f, 0.024233105f, + 0.23596089f, -0.021006849f, 0.1890502f, 0.5085715f, + 0.63729393f, 0.21577123f, 0.011278441f, 0.18822116f, + -0.1545927f, -0.040722325f, -0.103782505f, -0.20680243f, + -0.0048381016f, -0.08054019f, -0.20550838f, -0.16877042f, + -0.13454553f, 0.24716504f, -0.055626824f, 0.26783165f, + -0.060780562f, -0.30375552f, -0.16147833f, 0.13623716f, + 0.2936753f, 0.047969237f, -0.030661728f, -0.3058367f, + -0.08003057f, 0.10655708f, -0.018742286f, 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0.056191355f, + 0.0813432f, 0.109182745f, 0.103016764f, -0.0237583f, + -0.08856121f, -0.030784028f, 0.087375164f, 0.013652729f, + 0.011638834f, -0.0060421485f, 0.056429435f, 0.10691829f, + 0.041128937f, -0.043404203f, -0.0025073688f, 0.012957162f, + 0.01234017f, 0.11861598f, 0.09244049f, 0.03474449f, + -0.02489581f, 0.035870664f, -0.04075868f, 0.013552304f, + -0.009587781f, 0.01752828f, 0.07450903f, 0.06924415f, + 0.0011354148f, -0.06966305f, 0.008092117f, 0.02915073f, + 0.043506045f, -0.039757483f, 0.014310178f, 0.00084354123f, + -0.013759381f, 0.026358005f, 0.088238746f, 0.082134426f +}; + +static const float conv1_biases[] = { + -0.016606892f, -0.011107335f, -0.0048309686f, -0.04867378f, + -0.030040957f, -0.07297248f, -0.019458665f, -0.009738028f, + 0.6951231f, -0.07369442f, -0.01354204f, 0.010336088f, + -0.02956177f, 0.018691286f, -0.021675158f, 0.0040888255f, + -0.0803309f, -0.02080248f, -0.00025044166f, 0.015665635f, + -0.024439847f, -0.00014609392f, -5.0048184e-05f, -0.001185404f, + -8.3538194e-05f, 0.0f, -0.00037626884f, 0.02971581f, + -9.940329e-05f, -0.020136558f, -0.00029498152f, 0.019285819f, + 0.0055777165f, -0.07003153f, -0.024398552f, -1.772693e-05f, + 0.0050997124f, -0.011211924f, 0.004536128f, -0.024612177f, + -0.022535782f, -0.00016232267f, -0.00017362963f, -1.552602e-05f, + -0.06559696f, -0.0065806108f, 6.6839266e-06f, 0.025228953f, + -0.0013730666f, 0.03035182f, 0.0f, 0.003285622f, + 0.0055278814f, 0.020766519f, -0.008490622f, 0.026332268f, + -0.046789873f, 0.010329567f, -0.02364932f, 0.027851572f, + 0.054407462f, -0.08068252f, -0.009446503f, -0.04663234f +}; + +static const float conv2_kernel[] = { + -0.24004751f, 0.1037138f, 0.11173403f, 0.04352092f, + -0.23728481f, 0.12153747f, -0.23676059f, -0.28548065f, + -0.612738f, -0.12218937f, -0.06005159f, 0.1850652f, + 0.16014674f, 0.13922939f, 0.21359426f, 0.10787945f, + -0.26999104f, -0.14241326f, -0.0013871012f, -0.004951588f, + 0.34021696f, 0.00055816956f, 4.7351106e-05f, 0.0037513396f, 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{ + 0.12326373f, 0.13270757f, 0.07082674f, 0.051456157f, + 0.058445618f, 0.13153197f, 0.0809729f, 0.10153213f, + 0.055915363f, 0.05228166f, -0.11212896f, 0.07462141f, + -0.10300769f, 0.10817513f, 0.15686865f, 0.1822583f, + 0.06780991f, -0.027867194f, 0.10957543f, 0.034252886f, + 0.05988423f, -0.0481856f, 0.074781254f, -0.07338138f, + -0.022100607f, -0.049476217f, 0.0001618523f, 0.16787314f, + -0.086404406f, 0.06046943f, -0.1733751f, 0.2654999f +}; + +static const float conv3_kernel[] = { + -0.01733648f, 0.01492609f, 0.019393086f, -0.004445322f, + 0.026939709f, 0.00038831023f, 0.004221528f, 0.0050745453f, + 0.0129861f, 0.008007169f, 0.008950762f, 0.005279691f, + 0.015198747f, -0.010862989f, 0.011825689f, -0.019965801f, + 0.007991939f, -0.004620696f, 0.011911056f, 0.0043943473f, + -0.015274506f, 0.007058924f, 0.010290278f, 0.013065045f, + -0.010343008f, 0.017746344f, -4.6092932e-06f, -0.0030044178f, + 0.004238005f, 0.011623516f, 0.0042921947f, 0.0036016756f, + 0.025046846f, 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0.014146284f, 0.018825071f, 0.0144004915f, 0.0019946275f, + 0.02691827f, 0.0009523414f, 0.027027654f, -0.05271302f, + -0.008234074f, 0.01886295f, 0.009218212f, 0.018653536f, + 0.018532507f, 0.019083755f, 0.011865131f, 0.020338265f, + 0.04508337f, 0.023039978f, -2.3969303e-06f, -0.03341738f, + 0.0004288993f, -0.00082805153f, 0.010723913f, 0.007715867f, + 0.006444959f, -0.019155774f, -5.477799e-05f, -0.020788789f, + 0.00831597f, 0.010842232f, -0.031902798f, -0.026402516f, + -0.006352604f, -0.0014378208f, 0.009403265f, -0.023530146f, + 0.03013893f, 0.00095609104f, 0.003455896f, 0.013105751f, + -0.032454796f, 0.00014958641f, -0.018464519f, -0.004078385f, + 0.0037151799f, -0.034191445f, -0.012414877f, 0.020487262f, + 0.0046754936f, -0.0017117449f, -5.6997096e-06f, -0.016188936f, + 0.00093793747f, -0.004474718f, 0.015641531f, -0.031059852f, + 0.017852167f, -0.010946748f, -0.012056041f, -0.024213046f, + -0.012465649f, -0.0064642616f, -0.0110341925f, -0.008573409f, + -0.016811594f, -0.022378387f, 0.0030896366f, -0.018295068f, + -0.0002118988f, -0.008802077f, 0.0041353963f, -0.0019236483f, + -0.02637782f, -0.017801862f, -0.0063813925f, -0.018069087f, + -0.0036655464f, 0.013736056f, -0.00926528f, -0.02779058f, + -0.012576324f, 0.04333538f, -7.0378364e-06f, 0.026426876f, + 0.0057986663f, 0.001365942f, -0.014491761f, -0.016380578f, + -0.029815238f, -0.032532256f, -0.010090044f, -0.0075939707f, + -0.01841759f, -0.02166566f, 0.0047074873f, 0.0044598053f, + -0.011068891f, -0.014538416f, -0.0127471145f, -4.54769e-05f, + -0.018158771f, -0.0016290377f, -0.007845909f, -0.024189549f, + -0.0060073743f, -0.013039188f, 0.0067027225f, -0.012077617f, + -0.0007322089f, 0.0034031253f, -0.0008505431f, -0.017894164f, + 0.027413402f, -0.039492756f, -7.2415805e-06f, -0.01993335f, + -0.053383633f, -0.005462685f, -0.009955281f, -0.045894638f, + -0.03423635f, 0.015809828f, 0.007976382f, 0.02872461f, + 0.011486088f, -0.027824942f, 0.022402626f, 0.029602554f, + 0.01704397f, 0.022052698f, -0.0047717188f, 0.026639657f, + -0.011267848f, 0.0033830018f, -0.015702372f, -0.03458953f, + 0.03404305f, 0.009690975f, 0.018198043f, 0.018704038f, + 0.004133801f, 0.012773303f, 0.013342909f, -0.010100413f, + 0.015592217f, -0.031007571f, -4.1644485e-06f, -0.023360938f, + -0.007369862f, -0.0021892155f, -0.0041580168f, 0.040366825f, + -0.00950825f, -0.015689341f, -0.027411446f, 0.0045163934f, + -0.021237882f, -0.032169607f, -0.008436287f, 0.007711113f, + -0.015981104f, -0.0058474587f, -0.016302187f, -0.0050288388f, + -0.03451291f, -0.005411964f, -0.057007458f, -0.009519844f, + 0.00060862664f, -0.01581088f, -0.013824393f, -0.0050003896f, + -0.02759697f, -0.047302894f, -0.017540261f, -0.04141391f, + -0.041247956f, -0.012798106f, -5.4396814e-06f, -0.00861421f, + 0.0048933798f, -0.0032665513f, -0.04772411f, -0.029737743f, + -0.013271045f, -0.009748851f, 0.007987075f, -0.0041782823f, + 0.012320887f, 0.018136637f, -0.0102896765f, -0.012029962f, + 0.0039973888f, 0.0027769876f, -0.0001612115f, -0.0068504843f, + 0.00064985076f, -0.0050650807f, -0.0097356215f, 0.017527003f, + -0.0060978164f, -0.0072428463f, -0.006019611f, 0.0008342362f, + -0.023044562f, -0.013992049f, -0.002095994f, 0.01103424f, + -0.024964068f, -0.014639699f, -5.8028945e-06f, 0.013127169f, + -0.012662719f, -0.0008862268f, 0.0016509607f, -0.04512324f, + -0.008125897f, 0.023091309f, 0.01334149f, -0.0017570563f, + 0.011543835f, 0.0049884785f, 0.022472827f, 0.036539525f, + 0.0076837344f, 0.0037880358f, 0.007956953f, 0.015365968f, + 0.012251683f, -0.011300079f, 0.01880794f, -0.0016539369f, + 0.010704212f, 0.01161269f, 0.03027414f, 0.0045915823f, + -0.02433038f, -0.01409588f, 0.018684948f, 0.008858194f, + -0.048040647f, 0.016877763f, -5.198308e-06f, 0.007284262f, + 0.00596547f, 0.005185987f, 0.0015474685f, 0.0014243163f, + 0.014486665f, -0.0007930672f, -0.014664226f, -0.016457712f, + -0.017403796f, 0.012685011f, -0.003883977f, -2.3890505e-05f, + -0.016086638f, -0.019044006f, 0.0041567693f, -0.0080705f, + -0.0033578419f, -0.00516103f, 0.014172151f, 0.0079172775f, + -0.010331041f, -0.00818306f, -0.003031655f, -0.018925121f, + -0.025037287f, -0.018173745f, -0.008901157f, -0.006475026f, + -0.045409832f, 0.007166016f, -7.5856356e-06f, 0.0012800301f, + 0.00069128914f, 0.005902952f, -0.0043672016f, -0.024956075f, + 0.022586409f, 0.03446779f, -0.012960361f, -0.0014372625f, + -0.0144260535f, 0.017766414f, -0.0053869165f, -0.005508242f, + -0.008251171f, -0.006693737f, -0.004248834f, -0.0030098704f, + 0.0014789323f, -8.2464976e-05f, -0.012845524f, 0.025194582f, + 0.002518448f, -0.0049616005f, -0.010554589f, -0.010357111f, + 0.005486671f, -0.021662172f, -0.011405641f, -0.006805207f, + -0.004323462f, -0.007439297f, -7.723759e-06f, -0.021758737f, + 0.008226223f, 0.006653657f, -0.008580118f, 0.034192834f, + -0.0004065808f, 0.002096658f, -0.007829351f, 0.010406952f, + 0.0047818823f, 0.005034751f, -0.016704533f, -0.016410556f, + 0.0011981578f, 0.009445486f, -0.00585872f, -0.0072120475f, + -0.024534391f, -0.0071554724f, -0.014008383f, 0.0050018425f, + 0.00020401525f, -0.008169618f, -0.021851186f, 0.008030192f, + -0.005056478f, -0.024147807f, -0.0136337085f, 0.006448823f, + -0.029981539f, -0.03735398f, -6.9212547e-06f, 0.033992097f, + -0.004451011f, 0.0042461813f, -0.032517195f, -0.010747091f, + -0.0040616756f, 0.002528875f, 0.012356824f, 0.008285874f, + 0.027300466f, -0.007290054f, 0.0016192659f, 0.0096740825f, + 0.014147036f, 0.015116107f, 0.011294763f, 0.0052219853f, + 0.013473306f, -0.0070844297f, 0.017487682f, -0.01886535f, + 0.0091585545f, -0.011141966f, 0.0050981203f, 0.012889761f, + -0.019689016f, 0.002859408f, 0.005369896f, -0.004294142f, + -0.014502201f, 0.014149459f, -4.7262542e-06f, 0.0038339125f, + 0.012931146f, 0.0046948805f, 0.013098622f, -0.015422701f +}; + +static const float conv3_biases[] = { + 0.05037664f +}; + +#endif diff --git a/libavfilter/vf_srcnn.c b/libavfilter/vf_srcnn.c index db1c40cf1e..d6efe9b478 100644 --- a/libavfilter/vf_srcnn.c +++ b/libavfilter/vf_srcnn.c @@ -28,164 +28,47 @@ #include "formats.h" #include "internal.h" #include "libavutil/opt.h" -#include "vf_srcnn.h" #include "libavformat/avio.h" - -typedef struct Convolution -{ - double* kernel; - double* biases; - int32_t size, input_channels, output_channels; -} Convolution; +#include "dnn_interface.h" typedef struct SRCNNContext { const AVClass *class; - /// SRCNN convolutions - struct Convolution conv1, conv2, conv3; - /// Path to binary file with kernels specifications - char* config_file_path; - /// Buffers for network input/output and feature maps - double* input_output_buf; - double* conv1_buf; - double* conv2_buf; + char* model_filename; + float* input_output_buf; + DNNModule* dnn_module; + DNNModel* model; + DNNData input_output; } SRCNNContext; #define OFFSET(x) offsetof(SRCNNContext, x) #define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM static const AVOption srcnn_options[] = { - { "config_file", "path to configuration file with network parameters", OFFSET(config_file_path), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 0, FLAGS }, + { "model_filename", "path to model file specifying network architecture and its parameters", OFFSET(model_filename), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 0, FLAGS }, { NULL } }; AVFILTER_DEFINE_CLASS(srcnn); -#define CHECK_FILE_SIZE(file_size, srcnn_size, avio_context) if (srcnn_size > file_size){ \ - av_log(context, AV_LOG_ERROR, "error reading configuration file\n");\ - avio_closep(&avio_context); \ - return AVERROR(EIO); \ - } - -#define CHECK_ALLOCATION(call, end_call) if (call){ \ - av_log(context, AV_LOG_ERROR, "could not allocate memory for convolutions\n"); \ - end_call; \ - return AVERROR(ENOMEM); \ - } - -static int allocate_read_conv_data(Convolution* conv, AVIOContext* config_file_context) -{ - int32_t kernel_size = conv->output_channels * conv->size * conv->size * conv->input_channels; - int32_t i; - - conv->kernel = av_malloc(kernel_size * sizeof(double)); - if (!conv->kernel){ - return AVERROR(ENOMEM); - } - for (i = 0; i < kernel_size; ++i){ - conv->kernel[i] = av_int2double(avio_rl64(config_file_context)); - } - - conv->biases = av_malloc(conv->output_channels * sizeof(double)); - if (!conv->biases){ - return AVERROR(ENOMEM); - } - for (i = 0; i < conv->output_channels; ++i){ - conv->biases[i] = av_int2double(avio_rl64(config_file_context)); - } - - return 0; -} - -static int allocate_copy_conv_data(Convolution* conv, const double* kernel, const double* biases) +static av_cold int init(AVFilterContext* context) { - int32_t kernel_size = conv->output_channels * conv->size * conv->size * conv->input_channels; + SRCNNContext* srcnn_context = context->priv; - conv->kernel = av_malloc(kernel_size * sizeof(double)); - if (!conv->kernel){ + srcnn_context->dnn_module = ff_get_dnn_module(DNN_NATIVE); + if (!srcnn_context->dnn_module){ + av_log(context, AV_LOG_ERROR, "could not create dnn module\n"); return AVERROR(ENOMEM); } - memcpy(conv->kernel, kernel, kernel_size * sizeof(double)); - - conv->biases = av_malloc(conv->output_channels * sizeof(double)); - if (!conv->kernel){ - return AVERROR(ENOMEM); - } - memcpy(conv->biases, biases, conv->output_channels * sizeof(double)); - - return 0; -} - -static av_cold int init(AVFilterContext* context) -{ - SRCNNContext *srcnn_context = context->priv; - AVIOContext* config_file_context; - int64_t file_size, srcnn_size; - - /// Check specified confguration file name and read network weights from it - if (!srcnn_context->config_file_path){ - av_log(context, AV_LOG_INFO, "configuration file for network was not specified, using default weights for x2 upsampling\n"); - - /// Create convolution kernels and copy default weights - srcnn_context->conv1.input_channels = 1; - srcnn_context->conv1.output_channels = 64; - srcnn_context->conv1.size = 9; - CHECK_ALLOCATION(allocate_copy_conv_data(&srcnn_context->conv1, conv1_kernel, conv1_biases), ) - - srcnn_context->conv2.input_channels = 64; - srcnn_context->conv2.output_channels = 32; - srcnn_context->conv2.size = 1; - CHECK_ALLOCATION(allocate_copy_conv_data(&srcnn_context->conv2, conv2_kernel, conv2_biases), ) - - srcnn_context->conv3.input_channels = 32; - srcnn_context->conv3.output_channels = 1; - srcnn_context->conv3.size = 5; - CHECK_ALLOCATION(allocate_copy_conv_data(&srcnn_context->conv3, conv3_kernel, conv3_biases), ) - } - else if (avio_check(srcnn_context->config_file_path, AVIO_FLAG_READ) > 0){ - if (avio_open(&config_file_context, srcnn_context->config_file_path, AVIO_FLAG_READ) < 0){ - av_log(context, AV_LOG_ERROR, "failed to open configuration file\n"); - return AVERROR(EIO); - } - - file_size = avio_size(config_file_context); - - /// Create convolution kernels and read weights from file - srcnn_context->conv1.input_channels = 1; - srcnn_context->conv1.size = (int32_t)avio_rl32(config_file_context); - srcnn_context->conv1.output_channels = (int32_t)avio_rl32(config_file_context); - srcnn_size = 8 + (srcnn_context->conv1.output_channels * srcnn_context->conv1.size * - srcnn_context->conv1.size * srcnn_context->conv1.input_channels + - srcnn_context->conv1.output_channels << 3); - CHECK_FILE_SIZE(file_size, srcnn_size, config_file_context) - CHECK_ALLOCATION(allocate_read_conv_data(&srcnn_context->conv1, config_file_context), avio_closep(&config_file_context)) - - srcnn_context->conv2.input_channels = (int32_t)avio_rl32(config_file_context); - srcnn_context->conv2.size = (int32_t)avio_rl32(config_file_context); - srcnn_context->conv2.output_channels = (int32_t)avio_rl32(config_file_context); - srcnn_size += 12 + (srcnn_context->conv2.output_channels * srcnn_context->conv2.size * - srcnn_context->conv2.size * srcnn_context->conv2.input_channels + - srcnn_context->conv2.output_channels << 3); - CHECK_FILE_SIZE(file_size, srcnn_size, config_file_context) - CHECK_ALLOCATION(allocate_read_conv_data(&srcnn_context->conv2, config_file_context), avio_closep(&config_file_context)) - - srcnn_context->conv3.input_channels = (int32_t)avio_rl32(config_file_context); - srcnn_context->conv3.size = (int32_t)avio_rl32(config_file_context); - srcnn_context->conv3.output_channels = 1; - srcnn_size += 8 + (srcnn_context->conv3.output_channels * srcnn_context->conv3.size * - srcnn_context->conv3.size * srcnn_context->conv3.input_channels - + srcnn_context->conv3.output_channels << 3); - if (file_size != srcnn_size){ - av_log(context, AV_LOG_ERROR, "error reading configuration file\n"); - avio_closep(&config_file_context); - return AVERROR(EIO); - } - CHECK_ALLOCATION(allocate_read_conv_data(&srcnn_context->conv3, config_file_context), avio_closep(&config_file_context)) - - avio_closep(&config_file_context); + if (!srcnn_context->model_filename){ + av_log(context, AV_LOG_INFO, "model file for network was not specified, using default network for x2 upsampling\n"); + srcnn_context->model = (srcnn_context->dnn_module->load_default_model)(DNN_SRCNN); } else{ - av_log(context, AV_LOG_ERROR, "specified configuration file does not exist or not readable\n"); + srcnn_context->model = (srcnn_context->dnn_module->load_model)(srcnn_context->model_filename); + } + if (!srcnn_context->model){ + av_log(context, AV_LOG_ERROR, "could not load dnn model\n"); return AVERROR(EIO); } @@ -197,7 +80,7 @@ static int query_formats(AVFilterContext* context) const enum AVPixelFormat pixel_formats[] = {AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_GRAY8, AV_PIX_FMT_NONE}; - AVFilterFormats *formats_list; + AVFilterFormats* formats_list; formats_list = ff_make_format_list(pixel_formats); if (!formats_list){ @@ -209,28 +92,29 @@ static int query_formats(AVFilterContext* context) static int config_props(AVFilterLink* inlink) { - AVFilterContext *context = inlink->dst; - SRCNNContext *srcnn_context = context->priv; - int min_dim; - - /// Check if input data width or height is too low - min_dim = FFMIN(inlink->w, inlink->h); - if (min_dim <= srcnn_context->conv1.size >> 1 || min_dim <= srcnn_context->conv2.size >> 1 || min_dim <= srcnn_context->conv3.size >> 1){ - av_log(context, AV_LOG_ERROR, "input width or height is too low\n"); - return AVERROR(EIO); - } - - /// Allocate network buffers - srcnn_context->input_output_buf = av_malloc(inlink->h * inlink->w * sizeof(double)); - srcnn_context->conv1_buf = av_malloc(inlink->h * inlink->w * srcnn_context->conv1.output_channels * sizeof(double)); - srcnn_context->conv2_buf = av_malloc(inlink->h * inlink->w * srcnn_context->conv2.output_channels * sizeof(double)); + AVFilterContext* context = inlink->dst; + SRCNNContext* srcnn_context = context->priv; + DNNReturnType result; - if (!srcnn_context->input_output_buf || !srcnn_context->conv1_buf || !srcnn_context->conv2_buf){ - av_log(context, AV_LOG_ERROR, "could not allocate memory for srcnn buffers\n"); + srcnn_context->input_output_buf = av_malloc(inlink->h * inlink->w * sizeof(float)); + if (!srcnn_context->input_output_buf){ + av_log(context, AV_LOG_ERROR, "could not allocate memory for input/output buffer\n"); return AVERROR(ENOMEM); } - return 0; + srcnn_context->input_output.data = srcnn_context->input_output_buf; + srcnn_context->input_output.width = inlink->w; + srcnn_context->input_output.height = inlink->h; + srcnn_context->input_output.channels = 1; + + result = (srcnn_context->model->set_input_output)(srcnn_context->model->model, &srcnn_context->input_output, &srcnn_context->input_output); + if (result != DNN_SUCCESS){ + av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n"); + return AVERROR(EIO); + } + else{ + return 0; + } } typedef struct ThreadData{ @@ -238,28 +122,19 @@ typedef struct ThreadData{ int out_linesize, height, width; } ThreadData; -typedef struct ConvThreadData -{ - const Convolution* conv; - const double* input; - double* output; - int height, width; -} ConvThreadData; - -/// Convert uint8 data to double and scale it to use in network -static int uint8_to_double(AVFilterContext* context, void* arg, int jobnr, int nb_jobs) +static int uint8_to_float(AVFilterContext* context, void* arg, int jobnr, int nb_jobs) { SRCNNContext* srcnn_context = context->priv; const ThreadData* td = arg; const int slice_start = (td->height * jobnr ) / nb_jobs; const int slice_end = (td->height * (jobnr + 1)) / nb_jobs; const uint8_t* src = td->out + slice_start * td->out_linesize; - double* dst = srcnn_context->input_output_buf + slice_start * td->width; + float* dst = srcnn_context->input_output_buf + slice_start * td->width; int y, x; for (y = slice_start; y < slice_end; ++y){ for (x = 0; x < td->width; ++x){ - dst[x] = (double)src[x] / 255.0; + dst[x] = (float)src[x] / 255.0f; } src += td->out_linesize; dst += td->width; @@ -268,20 +143,19 @@ static int uint8_to_double(AVFilterContext* context, void* arg, int jobnr, int n return 0; } -/// Convert double data from network to uint8 and scale it to output as filter result -static int double_to_uint8(AVFilterContext* context, void* arg, int jobnr, int nb_jobs) +static int float_to_uint8(AVFilterContext* context, void* arg, int jobnr, int nb_jobs) { SRCNNContext* srcnn_context = context->priv; const ThreadData* td = arg; const int slice_start = (td->height * jobnr ) / nb_jobs; const int slice_end = (td->height * (jobnr + 1)) / nb_jobs; - const double* src = srcnn_context->input_output_buf + slice_start * td->width; + const float* src = srcnn_context->input_output_buf + slice_start * td->width; uint8_t* dst = td->out + slice_start * td->out_linesize; int y, x; for (y = slice_start; y < slice_end; ++y){ for (x = 0; x < td->width; ++x){ - dst[x] = (uint8_t)(255.0 * FFMIN(src[x], 1.0)); + dst[x] = (uint8_t)(255.0f * FFMIN(src[x], 1.0f)); } src += td->width; dst += td->out_linesize; @@ -290,45 +164,6 @@ static int double_to_uint8(AVFilterContext* context, void* arg, int jobnr, int n return 0; } -#define CLAMP_TO_EDGE(x, w) ((x) < 0 ? 0 : ((x) >= (w) ? (w - 1) : (x))) - -static int convolve(AVFilterContext* context, void* arg, int jobnr, int nb_jobs) -{ - const ConvThreadData* td = arg; - const int slice_start = (td->height * jobnr ) / nb_jobs; - const int slice_end = (td->height * (jobnr + 1)) / nb_jobs; - const double* src = td->input; - double* dst = td->output + slice_start * td->width * td->conv->output_channels; - int y, x; - int32_t n_filter, ch, kernel_y, kernel_x; - int32_t radius = td->conv->size >> 1; - int src_linesize = td->width * td->conv->input_channels; - int filter_linesize = td->conv->size * td->conv->input_channels; - int filter_size = td->conv->size * filter_linesize; - - for (y = slice_start; y < slice_end; ++y){ - for (x = 0; x < td->width; ++x){ - for (n_filter = 0; n_filter < td->conv->output_channels; ++n_filter){ - dst[n_filter] = td->conv->biases[n_filter]; - for (ch = 0; ch < td->conv->input_channels; ++ch){ - for (kernel_y = 0; kernel_y < td->conv->size; ++kernel_y){ - for (kernel_x = 0; kernel_x < td->conv->size; ++kernel_x){ - dst[n_filter] += src[CLAMP_TO_EDGE(y + kernel_y - radius, td->height) * src_linesize + - CLAMP_TO_EDGE(x + kernel_x - radius, td->width) * td->conv->input_channels + ch] * - td->conv->kernel[n_filter * filter_size + kernel_y * filter_linesize + - kernel_x * td->conv->input_channels + ch]; - } - } - } - dst[n_filter] = FFMAX(dst[n_filter], 0.0); - } - dst += td->conv->output_channels; - } - } - - return 0; -} - static int filter_frame(AVFilterLink* inlink, AVFrame* in) { AVFilterContext* context = inlink->dst; @@ -336,8 +171,8 @@ static int filter_frame(AVFilterLink* inlink, AVFrame* in) AVFilterLink* outlink = context->outputs[0]; AVFrame* out = ff_get_video_buffer(outlink, outlink->w, outlink->h); ThreadData td; - ConvThreadData ctd; int nb_threads; + DNNReturnType dnn_result; if (!out){ av_log(context, AV_LOG_ERROR, "could not allocate memory for output frame\n"); @@ -349,24 +184,19 @@ static int filter_frame(AVFilterLink* inlink, AVFrame* in) av_frame_free(&in); td.out = out->data[0]; td.out_linesize = out->linesize[0]; - td.height = ctd.height = out->height; - td.width = ctd.width = out->width; + td.height = out->height; + td.width = out->width; nb_threads = ff_filter_get_nb_threads(context); - context->internal->execute(context, uint8_to_double, &td, NULL, FFMIN(td.height, nb_threads)); - ctd.conv = &srcnn_context->conv1; - ctd.input = srcnn_context->input_output_buf; - ctd.output = srcnn_context->conv1_buf; - context->internal->execute(context, convolve, &ctd, NULL, FFMIN(ctd.height, nb_threads)); - ctd.conv = &srcnn_context->conv2; - ctd.input = srcnn_context->conv1_buf; - ctd.output = srcnn_context->conv2_buf; - context->internal->execute(context, convolve, &ctd, NULL, FFMIN(ctd.height, nb_threads)); - ctd.conv = &srcnn_context->conv3; - ctd.input = srcnn_context->conv2_buf; - ctd.output = srcnn_context->input_output_buf; - context->internal->execute(context, convolve, &ctd, NULL, FFMIN(ctd.height, nb_threads)); - context->internal->execute(context, double_to_uint8, &td, NULL, FFMIN(td.height, nb_threads)); + context->internal->execute(context, uint8_to_float, &td, NULL, FFMIN(td.height, nb_threads)); + + dnn_result = (srcnn_context->dnn_module->execute_model)(srcnn_context->model); + if (dnn_result != DNN_SUCCESS){ + av_log(context, AV_LOG_ERROR, "failed to execute loaded model\n"); + return AVERROR(EIO); + } + + context->internal->execute(context, float_to_uint8, &td, NULL, FFMIN(td.height, nb_threads)); return ff_filter_frame(outlink, out); } @@ -375,18 +205,11 @@ static av_cold void uninit(AVFilterContext* context) { SRCNNContext* srcnn_context = context->priv; - /// Free convolution data - av_freep(&srcnn_context->conv1.kernel); - av_freep(&srcnn_context->conv1.biases); - av_freep(&srcnn_context->conv2.kernel); - av_freep(&srcnn_context->conv2.biases); - av_freep(&srcnn_context->conv3.kernel); - av_freep(&srcnn_context->conv3.kernel); - - /// Free network buffers + if (srcnn_context->dnn_module){ + (srcnn_context->dnn_module->free_model)(&srcnn_context->model); + av_freep(&srcnn_context->dnn_module); + } av_freep(&srcnn_context->input_output_buf); - av_freep(&srcnn_context->conv1_buf); - av_freep(&srcnn_context->conv2_buf); } static const AVFilterPad srcnn_inputs[] = { @@ -419,3 +242,4 @@ AVFilter ff_vf_srcnn = { .priv_class = &srcnn_class, .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS, }; + diff --git a/libavfilter/vf_srcnn.h b/libavfilter/vf_srcnn.h deleted file mode 100644 index 1b57bcdcd4..0000000000 --- a/libavfilter/vf_srcnn.h +++ /dev/null @@ -1,855 +0,0 @@ -/* - * Copyright (c) 2018 Sergey Lavrushkin - * - * 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 - * Default cnn weights for x2 upsampling with srcnn filter. - */ -#ifndef AVFILTER_SRCNN_H -#define AVFILTER_SRCNN_H - -/// First convolution kernel -static const double conv1_kernel[] = { --0.08866337686777115, 0.055409565567970276, 0.037196505814790726, -0.11961404234170914, -0.12341991066932678, 0.2996342182159424, -0.09118170291185379, -0.00013613555347546935, -0.049023594707250595, -0.038421183824539185, -0.07726779580116272, 0.027273094281554222, 0.45762088894844055, 0.023581644520163536, -0.20363852381706238, -0.07738441973924637, 0.07288403809070587, 0.06679897010326385, --0.07315085083246231, 0.2665306031703949, 0.07836370915174484, -0.2898528277873993, -0.506912887096405, 0.0446651317179203, -0.06246858835220337, -0.024424826726317406, -0.029072929173707962, --0.16884787380695343, 0.20686236023902893, -0.2536700665950775, -0.38499701023101807, -0.12601901590824127, 0.7257882356643677, 0.09588377922773361, -0.04487278312444687, -0.011251595802605152, --0.02955852635204792, 0.2211706042289734, -0.3845316469669342, -0.053509537130594254, 0.10955915600061417, 0.3725738823413849, -0.28968045115470886, -0.10883618891239166, 0.19628790020942688, -0.09746792912483215, -0.005647096782922745, -0.13035884499549866, 0.6254252195358276, 0.19104234874248505, -0.011692332103848457, -0.27067890763282776, -0.030754156410694122, 0.029875505715608597, -0.016808750107884407, -0.1831790804862976, -0.16016070544719696, 0.3598291277885437, -0.1889011114835739, -0.22343340516090393, -0.11111768335103989, 0.3221142590045929, -0.18514074385166168, --0.06647012382745743, 0.1800554096698761, -0.0356597937643528, -0.25352174043655396, -0.18370479345321655, 0.2839542329311371, 0.0030237233731895685, 0.24072711169719696, -0.1435547173023224, -0.0474187433719635, -0.03221237286925316, -0.08801338076591492, 0.2959175109863281, 0.04108741134405136, -0.103544220328331, -0.11681117117404938, -0.010267493315041065, 0.023703521117568016, - --0.043954458087682724, 0.0953388437628746, 0.12233797460794449, -0.0521148182451725, 0.068812295794487, 0.0576486811041832, 0.08686650544404984, -0.12001238018274307, 0.02353638783097267, --0.022270673885941505, -0.06377912312746048, 0.010644146241247654, -0.27824145555496216, -0.23719865083694458, -0.21418367326259613, -0.09665020555257797, 0.10458534955978394, 0.06599418818950653, --0.031174281612038612, -0.03465353325009346, 0.022143816575407982, -0.24322354793548584, -0.08923598378896713, -0.02724810689687729, -0.09314896911382675, -0.03740973770618439, 0.07819665223360062, -0.12521375715732574, 0.11189836263656616, 0.34981977939605713, 0.24303556978702545, 0.21350803971290588, 0.3712073266506195, 0.12192775309085846, -0.15492133796215057, 0.01884031854569912, --0.08351074159145355, -0.305499792098999, -0.11462165415287018, -0.11833594739437103, -0.35027629137039185, -0.007749142590910196, -0.05184945464134216, -0.14423955976963043, -0.04047594219446182, -0.18357796967029572, 0.16708122193813324, 0.0748625323176384, 0.17892862856388092, 0.12331069260835648, 0.16825254261493683, -0.040668703615665436, 0.12498869001865387, 0.12445469200611115, --0.08529794961214066, -0.23087382316589355, -0.2426449954509735, -0.003364269156008959, -0.019013511016964912, 0.007406715769320726, -0.09762480109930038, 0.09727375954389572, -0.14308449625968933, -0.20924511551856995, 0.047315631061792374, 0.17839451134204865, 0.20142769813537598, -0.2138431817293167, -0.16858182847499847, 0.07769212126731873, 0.11478294432163239, 0.002249526558443904, --0.09524660557508469, -0.11904185265302658, -0.1190405860543251, 0.1193549856543541, 0.040786921977996826, -0.07873278856277466, 0.19328512251377106, -0.06008544936776161, -0.03619224950671196, - --0.03508936986327171, -0.02129603736102581, 0.04467615857720375, 0.0351480171084404, 0.047732554376125336, -0.036008983850479126, -0.09819480776786804, -0.07464613020420074, 0.16331301629543304, -0.05766148120164871, -0.06068359687924385, 0.023710887879133224, 0.04077879339456558, 0.0195282194763422, -0.04709528759121895, -0.0026468061842024326, 0.01308137271553278, -0.04843336343765259, --0.05547124147415161, -0.007511544041335583, -0.0018498365534469485, 0.006324829533696175, 0.08334493637084961, -0.03534594178199768, -0.05873340740799904, -0.11714734137058258, -0.049685098230838776, --0.01065769698470831, 0.08840381354093552, 0.06828710436820984, 0.020970111712813377, 0.2620500922203064, 0.11938150972127914, 0.04214100167155266, -0.0640568658709526, -0.04790668934583664, -0.05482594668865204, 0.07402177155017853, 0.21512433886528015, 0.25780582427978516, 0.42716339230537415, 0.18216213583946228, 0.12531153857707977, 0.10390171408653259, -0.010482890531420708, --0.07587306201457977, -0.01289812009781599, 0.10065701603889465, 0.07373074442148209, 0.15948989987373352, -0.08611098676919937, 0.00668379059061408, 0.10756229609251022, -0.10216449201107025, --0.12100939452648163, 0.009513840079307556, 0.04604566842317581, 0.06705893576145172, 0.21903297305107117, 0.026905395090579987, 0.005323861725628376, 0.0006765045691281557, -0.04283676669001579, --0.025259271264076233, -0.009707702323794365, -0.0009789661271497607, 0.04325764626264572, 0.0880921259522438, 0.018156062811613083, -0.012795506976544857, -0.10799489170312881, 0.04463301599025726, -0.135641410946846, 0.03334195539355278, -0.12862707674503326, -0.13122200965881348, -0.009230302646756172, -0.01939813420176506, -0.005852208007127047, -0.05510852858424187, -0.039392534643411636, - -0.03604253754019737, -0.017754223197698593, 0.012287494726479053, 0.08819247782230377, -0.04256458953022957, -0.08412624895572662, 0.0034042259212583303, 0.0951397642493248, -0.019551629200577736, --0.09674753248691559, 0.18024282157421112, -0.08090511709451675, -0.2444406896829605, 0.006856921128928661, 0.13041719794273376, 0.025669438764452934, -0.239430770277977, 0.0447552353143692, --0.0160992369055748, -0.1801433265209198, -0.1196504458785057, 0.15631894767284393, 0.23565492033958435, -0.016446923837065697, 0.08860990405082703, 0.03030352108180523, 0.03708450496196747, -0.20704922080039978, -0.30848193168640137, 0.29852479696273804, 0.5171792507171631, 0.008160743862390518, -0.3112908899784088, -0.12307851761579514, 0.23214605450630188, -0.03460124507546425, --0.053407326340675354, 0.1022569090127945, 0.21641655266284943, -0.00649402616545558, -0.25075840950012207, -0.20448848605155945, 0.05053631216287613, 0.12135548144578934, -0.24142836034297943, --0.2844122350215912, 0.33926066756248474, -0.18576817214488983, -0.49420735239982605, -0.09703129529953003, 0.003108662785962224, 0.15142951905727386, -0.08352979272603989, 0.115256167948246, -0.15754960477352142, 0.11142445355653763, 0.0034580992069095373, -0.17606016993522644, 0.16817983984947205, 0.09105344116687775, 0.0391756035387516, -0.09479036927223206, 0.05635075643658638, -0.025231560692191124, -0.24550069868564606, 0.06336600333452225, 0.16318576037883759, 0.2175760567188263, -0.10586289316415787, -0.08236701786518097, 0.06969913840293884, -0.02470541186630726, --0.05397476255893707, 0.1786981225013733, -0.02780720219016075, -0.1967526525259018, -0.10373450070619583, 0.00851354282349348, 0.1325003206729889, -0.04592644423246384, -0.0030838586390018463, - --0.04047795757651329, 0.049372006207704544, -0.13666890561580658, 0.1378665715456009, -0.13875751197338104, 0.2965521812438965, 0.17230957746505737, -0.1306699514389038, -0.04865024611353874, -0.04459606111049652, -0.03141403943300247, 0.03123670630156994, 0.14699892699718475, -0.48831430077552795, -0.44782617688179016, -0.32052814960479736, 0.2229323387145996, 0.1162572130560875, -0.03055264800786972, -0.1319550722837448, -0.09584920108318329, 0.0705055445432663, -0.14855937659740448, 0.10478757321834564, -0.16068053245544434, -0.1229013130068779, -0.1337907612323761, -0.024233104661107063, 0.23596088588237762, -0.02100684866309166, 0.18905019760131836, 0.5085715055465698, 0.6372939348220825, 0.21577122807502747, 0.011278441175818443, 0.18822115659713745, --0.15459269285202026, -0.0407223254442215, -0.10378250479698181, -0.20680242776870728, -0.00483810156583786, -0.08054018765687943, -0.20550838112831116, -0.1687704175710678, -0.13454553484916687, -0.2471650391817093, -0.055626824498176575, 0.2678316533565521, -0.060780562460422516, -0.303755521774292, -0.16147832572460175, 0.13623715937137604, 0.2936753034591675, 0.047969236969947815, --0.030661728233098984, -0.3058367073535919, -0.08003056794404984, 0.10655707865953445, -0.018742285668849945, 0.0358792282640934, -0.025629207491874695, -0.11310984939336777, -0.14455994963645935, -0.04050181433558464, 0.28120800852775574, 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-0.0266911368817091, --0.022419702261686325, -0.045605115592479706, -0.09064694494009018, -0.06312739849090576, 0.036068208515644073, 0.06525775790214539, 0.019389934837818146, 0.006056784652173519, 0.0026107390876859426, --0.07533064484596252, -0.004264597315341234, -0.05940620228648186, -0.04531720280647278, 0.01771579310297966, 0.01073805894702673, 0.02580205351114273, 0.061774905771017075, 0.049093276262283325, - -0.06254594027996063, -0.08440928906202316, -0.05960290879011154, -0.21179302036762238, -0.03749246150255203, 0.1320458948612213, 0.02225368283689022, -0.20560918748378754, 0.09833671897649765, --0.010864592157304287, 0.1312112659215927, 0.2729310095310211, 0.2852783203125, 0.036214154213666916, -0.17419104278087616, 0.10605451464653015, 0.11146654188632965, -0.05312469229102135, --0.034706000238657, -0.40110114216804504, -0.17413057386875153, -0.002180312993004918, -0.023289639502763748, -0.014259926974773407, -0.04321160912513733, -0.1015881896018982, -0.0019524767994880676, -0.25281256437301636, 0.1888352781534195, 0.2182304710149765, -0.07753387838602066, -0.1263069063425064, 0.20391452312469482, 0.17332755029201508, -0.05573255568742752, 0.08542720973491669, --0.27624428272247314, -0.0939950942993164, -0.34804075956344604, -0.18735791742801666, -0.3288903534412384, -0.24964070320129395, 0.023052500560879707, -0.0032602131832391024, -0.09734013676643372, -0.24850279092788696, 0.4498615860939026, 0.2392505258321762, 0.7578790783882141, 0.4650757908821106, -0.09640157222747803, 0.030361128970980644, 0.13835501670837402, 0.03452449291944504, --0.491862952709198, -0.3327092230319977, -0.115897998213768, 0.08189888298511505, 0.14717335999011993, 0.09036838263273239, -0.1914467215538025, -0.1619413048028946, 0.07546339184045792, -0.4778578579425812, 0.03341726213693619, -0.2200295627117157, -0.6558915376663208, -0.49498724937438965, 0.2652202248573303, 0.30143415927886963, -0.004251368809491396, -0.011420469731092453, --0.1778731644153595, 0.03058483451604843, 0.15715107321739197, 0.23354242742061615, 0.017105156555771828, -0.19644701480865479, 0.014484168030321598, -0.17201600968837738, 0.07568902522325516, - -0.028962446376681328, -0.06878253817558289, 0.05019852891564369, 0.05476095899939537, -0.04770945757627487, -0.1367853879928589, -0.16251084208488464, -0.056205764412879944, 0.09791768342256546, -0.16366638243198395, -0.12979918718338013, 0.002729258267208934, 0.03414570540189743, 0.06860813498497009, 0.06334712356328964, 0.04867345467209816, 0.07738835364580154, -0.003124517621472478, --0.07452563941478729, -0.20245549082756042, 0.027065815404057503, -0.0021526585333049297, 0.051124200224876404, 0.1550229787826538, 0.14651484787464142, 0.0758848711848259, -0.10572951287031174, --0.06748813390731812, -0.1996242254972458, 0.047433897852897644, -0.011952214874327183, -0.02098195068538189, 0.1696663796901703, 0.14325915277004242, 0.026020854711532593, -0.0003333611530251801, -0.06684102863073349, -0.1179869994521141, 0.08975568413734436, 0.027904972434043884, 0.07524381577968597, 0.2602478861808777, 0.16163015365600586, 0.005560749676078558, 0.018227512016892433, -0.029731912538409233, -0.07488886266946793, 0.1038120687007904, 0.0014797549229115248, 0.052478183060884476, 0.1951654702425003, 0.0512106716632843, -0.07954861223697662, -0.05595332756638527, --0.10098253190517426, -0.04282565042376518, 0.12107565999031067, 0.015420041978359222, -0.02609303407371044, 0.09977199882268906, 0.0654386356472969, -0.05860965698957443, -0.04621657729148865, --0.024240786209702492, 0.003574902657419443, 0.09980470687150955, 0.041678234934806824, -0.047122664749622345, 0.01244963426142931, 0.02494264580309391, -0.03977813571691513, 0.08772413432598114, -0.12657013535499573, -0.076152004301548, -0.0581919401884079, -0.09207551181316376, -0.05024847760796547, 0.08484440296888351, 0.011602652259171009, -0.06636865437030792, 0.07597231864929199, - -0.03471222519874573, 0.11924102157354355, -0.09907552599906921, 0.0718424990773201, -0.11197686940431595, 0.07318370789289474, 0.11031656712293625, -0.468844473361969, 0.09414266049861908, --0.1416342854499817, 0.15163519978523254, -0.13412059843540192, 0.11831796914339066, 0.0874205157160759, 0.015127725899219513, 0.02830408699810505, 0.2779788076877594, 0.04213378205895424, --0.11278911679983139, -0.019549937918782234, -0.1138615533709526, -0.0007093751919455826, -0.13948887586593628, 0.17623040080070496, 0.276247501373291, -0.2456439584493637, -0.16273942589759827, -0.1998843401670456, 0.029753731563687325, 0.11769873648881912, -0.0947619378566742, -0.3595242202281952, 0.08280224353075027, 0.14039701223373413, -0.5054993033409119, 0.32306021451950073, --0.09488756209611893, 0.18297874927520752, 0.021063625812530518, -0.10248441249132156, 0.31057217717170715, 0.49288955330848694, -0.06318224221467972, -0.5325169563293457, 0.016925616189837456, --0.23778969049453735, 0.22520707547664642, -0.28116437792778015, -0.25012317299842834, 0.045585665851831436, 0.21047309041023254, 0.13688251376152039, -0.01049390621483326, 0.18622957170009613, --0.06745558977127075, 0.05942220240831375, 0.07465878874063492, 0.17600689828395844, -0.24391280114650726, -0.1395273208618164, -0.14145755767822266, -0.22604353725910187, 0.0404188446700573, -0.2511400878429413, -0.04146436229348183, 0.06866158545017242, 0.0936383605003357, -0.17196893692016602, 0.35007256269454956, 0.1466590315103531, -0.11697538942098618, -0.08733940124511719, --0.1187233105301857, 0.06795468926429749, -0.19596466422080994, 0.09043551236391068, -0.07781103998422623, 0.06362947076559067, -0.04456653818488121, -0.13828079402446747, 0.1451389342546463, - -0.002784173935651779, 0.01319826114922762, 0.03299565985798836, -0.009061452932655811, -0.03782084956765175, 0.05905524268746376, 0.03665812313556671, -0.03293836489319801, 0.007655598223209381, --0.02654659003019333, -0.051362812519073486, -0.019685762003064156, -0.04363385960459709, -0.033689528703689575, -0.04015159234404564, -0.030751371756196022, -0.02246842533349991, 0.018601812422275543, -0.012158050201833248, 0.015349633991718292, 0.03493561968207359, -0.01330295018851757, 0.03794550150632858, -0.003826811444014311, -0.044383760541677475, -0.07613663375377655, 0.014979931525886059, -0.0436096116900444, 0.06885120272636414, 0.09881002455949783, 0.031302209943532944, 0.12420085072517395, 0.15065008401870728, 0.07978155463933945, -0.027734771370887756, -0.05383369326591492, --0.0678027868270874, 0.002182385651394725, 0.13103488087654114, 0.05609790235757828, 0.05619135499000549, 0.08134319633245468, 0.10918274521827698, 0.10301676392555237, -0.02375829964876175, --0.08856120705604553, -0.03078402765095234, 0.08737516403198242, 0.013652728870511055, 0.01163883414119482, -0.00604214845225215, 0.056429434567689896, 0.10691829025745392, 0.041128937155008316, --0.04340420290827751, -0.002507368801161647, 0.012957162223756313, 0.012340170331299305, 0.11861597746610641, 0.09244049340486526, 0.034744489938020706, -0.024895809590816498, 0.035870663821697235, --0.040758680552244186, 0.013552304357290268, -0.009587780572474003, 0.01752828061580658, 0.07450903207063675, 0.0692441463470459, 0.0011354148155078292, -0.06966304779052734, 0.008092116564512253, -0.02915072999894619, 0.04350604489445686, -0.03975748270750046, 0.014310178346931934, 0.0008435412310063839, -0.013759381137788296, 0.02635800465941429, 0.08823874592781067, 0.0821344256401062 -}; - -/// First convolution biases -static const double conv1_biases[] = { --0.01660689152777195, --0.011107334867119789, --0.00483096856623888, --0.048673778772354126, --0.030040957033634186, --0.07297247648239136, --0.01945866458117962, --0.009738028049468994, -0.6951230764389038, --0.07369442284107208, --0.01354204025119543, -0.010336088016629219, --0.02956176921725273, -0.018691286444664, --0.02167515829205513, -0.004088825546205044, --0.08033090084791183, --0.02080247923731804, --0.00025044166250154376, -0.015665635466575623, --0.024439847096800804, --0.00014609392383135855, --5.004818376619369e-05, --0.0011854040203616023, --8.353819430340081e-05, -0.0, --0.00037626884295605123, -0.02971580997109413, --9.940328891389072e-05, --0.020136557519435883, --0.00029498152434825897, -0.019285818561911583, -0.005577716510742903, --0.0700315311551094, --0.024398552253842354, --1.7726930309436284e-05, -0.0050997124053537846, --0.011211924254894257, -0.004536128137260675, --0.024612177163362503, --0.0225357823073864, --0.00016232267080340534, --0.00017362962535116822, --1.552602043375373e-05, --0.06559696048498154, --0.0065806107595562935, -6.683926585537847e-06, -0.0252289529889822, --0.0013730665668845177, -0.030351819470524788, -0.0, -0.003285621991381049, -0.0055278814397752285, -0.020766519010066986, --0.00849062204360962, -0.026332268491387367, --0.04678987339138985, -0.010329566895961761, --0.023649320006370544, -0.027851572260260582, -0.05440746247768402, --0.08068252354860306, --0.009446502663195133, --0.04663233831524849 -}; - -/// Second convolution kernel -static const double conv2_kernel[] = { --0.24004751443862915, 0.10371380299329758, 0.11173403263092041, 0.04352091997861862, -0.2372848093509674, 0.1215374693274498, -0.23676058650016785, -0.28548064827919006, -0.6127380132675171, -0.12218937277793884, -0.06005159020423889, 0.18506519496440887, 0.16014674305915833, 0.13922938704490662, 0.2135942578315735, 0.10787945240736008, -0.26999104022979736, -0.14241325855255127, -0.0013871012488380075, -0.004951587878167629, 0.3402169644832611, 0.0005581695586442947, 4.7351106331916526e-05, 0.0037513396237045527, 0.0011569701600819826, 0.001654176157899201, -0.0011876021744683385, 0.049887992441654205, -7.201619882835075e-05, -0.17735491693019867, 0.0011244657216593623, -0.22381487488746643, 0.0035836962051689625, -0.3210694193840027, -0.16167263686656952, -0.0007922835648059845, 0.05056063085794449, 0.21074672043323517, 0.07716237753629684, -0.3315621614456177, 0.06265880912542343, 0.0002542850561439991, -0.0012989661190658808, 0.0004486947145778686, -0.41594547033309937, -0.01995 0004294514656, 0.0002566903131082654, 0.17913155257701874, -0.5950504541397095, 0.3259836733341217, 0.0013792524114251137, -0.08931709825992584, -0.13066786527633667, 0.21108511090278625, -0.05854453891515732, -0.11937838047742844, 0.08559372276067734, -0.11413642764091492, 0.28384047746658325, -0.011619674041867256, 0.32102328538894653, -0.20085231959819794, -0.34134379029273987, -0.029155191034078598, - --0.15286806225776672, -0.45100340247154236, -0.07077684253454208, 0.14408659934997559, 0.05953073874115944, -0.03657171502709389, 0.3870140314102173, -0.12762507796287537, 0.059950776398181915, 0.00540902791544795, 0.16427578032016754, -0.042501527816057205, 0.032962359488010406, -0.19972456991672516, -0.2558594048023224, -0.05479712411761284, -0.1335245817899704, 0.051931269466876984, -0.0005906695732846856, 0.14123854041099548, -0.06595169752836227, 0.0002593870449345559, 0.0004935731994919479, 0.0018757024081423879, -0.0004157331713940948, 0.0006128620007075369, -0.0008253702544607222, 0.00875023566186428, 0.000315613579005003, -0.031592708081007004, -0.0011055622017011046, 0.5397407412528992, 0.16837793588638306, 0.10016077756881714, -0.04458073899149895, -0.0008208212675526738, 0.14558495581150055, 0.05370355769991875, 0.3998671770095825, 0.3651335835456848, -6.220484647201374e-05, -0.0015507896896451712, 0.00019759316637646407, 0.001477571902796626, 0.17199119925498962, 0.2042 8548753261566, 0.0007169281598180532, -0.15589089691638947, 0.13173037767410278, 0.0430227592587471, 0.0005358970374800265, -0.14488573372364044, -0.056273844093084335, 0.04060659557580948, 0.12327120453119278, -0.0687263160943985, 0.1168481707572937, 0.20592212677001953, -0.07642778009176254, -0.10591034591197968, -0.2585831880569458, -0.234173983335495, 0.1204083263874054, 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-0.0007333348621614277, -0.2809791564941406, -0.001019181334413588, 0.019602011889219284, 0.09314858913421631, -0.5306268334388733, 0.17580009996891022, -1.5525150956818834e-05, -0.2091640830039978, -0.6634456515312195, -0.14848995208740234, -0.06595541536808014, -0.034880805760622025, -1.1966582178501994e-06, 0.00036120228469371796, -0.0012568037491291761, -0.10609765350818634, -0.5816946625709534, -0.0006648825947195292, 0.4456590414047241, -0.512170672416687, 0.24637466669082642, 0.0010917421896010637, -0.23795755207538605, -0.2328575998544693, -0.07656370103359222, 0.33030301332473755, 0.2731899917125702, 0.09424741566181183, -0.1698189079761505, 0.01702292636036873, -0.10659436136484146, 0.11089695990085602, -0.08941251039505005, -0.35293179750442505, 0.06545879691839218 -}; - -/// Second convolution biases -static const double conv2_biases[] = { -0.12326373159885406, -0.13270756602287292, -0.07082673907279968, -0.051456157118082047, -0.05844561755657196, -0.1315319687128067, -0.08097290247678757, -0.10153213143348694, -0.055915363132953644, -0.052281659096479416, --0.11212895810604095, -0.07462140917778015, --0.10300768911838531, -0.108175128698349, -0.15686865150928497, -0.18225829303264618, -0.06780990958213806, --0.027867194265127182, -0.10957542806863785, -0.03425288572907448, -0.05988423153758049, --0.04818560183048248, -0.07478125393390656, --0.07338137924671173, --0.022100606933236122, --0.04947621747851372, -0.00016185229469556361, -0.16787314414978027, --0.08640440553426743, -0.060469429939985275, --0.17337509989738464, -0.26549988985061646 -}; - -/// Third convolution kernel -static const double conv3_kernel[] = { --0.01733648031949997, 0.014926089905202389, 0.019393086433410645, -0.00444532185792923, 0.02693970873951912, 0.0003883102326653898, 0.004221527837216854, 0.0050745452754199505, 0.012986100278794765, 0.008007168769836426, 0.008950762450695038, 0.005279690958559513, 0.01519874669611454, -0.010862989351153374, 0.011825689114630222, 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-0.013992048799991608, -0.0020959940738976, 0.011034240014851093, -0.024964068084955215, -0.014639698900282383, -5.802894520456903e-06, 0.013127168640494347, -0.012662719003856182, -0.0008862267713993788, 0.0016509606502950191, -0.04512324184179306, --0.00812589656561613, 0.023091308772563934, 0.013341490179300308, -0.0017570563359186053, 0.011543834581971169, 0.004988478496670723, 0.02247282676398754, 0.03653952479362488, 0.007683734409511089, 0.0037880358286201954, 0.007956952787935734, 0.015365968458354473, 0.012251682579517365, -0.011300078593194485, 0.018807940185070038, -0.0016539369244128466, 0.01070421189069748, 0.011612690053880215, 0.03027413971722126, 0.004591582342982292, -0.0243303794413805, -0.014095880091190338, 0.01868494786322117, 0.008858193643391132, -0.04804064705967903, 0.016877762973308563, -5.198307917453349e-06, 0.007284262217581272, 0.005965469870716333, 0.005185986869037151, 0.0015474684769287705, 0.0014243163168430328, 0.014486664906144142, -0.0007930672145448625, -0.014664226211607456, -0.016457712277770042, -0.017403796315193176, 0.012685011141002178, -0.0038839769549667835, -2.389050496276468e-05, -0.0160866379737854, -0.01904400624334812, 0.004156769253313541, -0.008070499636232853, -0.003357841866 0908937, -0.00516103021800518, 0.014172150753438473, 0.00791727751493454, -0.010331041179597378, -0.008183060213923454, -0.0030316549818962812, -0.018925121054053307, -0.025037286803126335, -0.018173744902014732, -0.008901157416403294, -0.006475025787949562, -0.045409832149744034, 0.007166015915572643, -7.585635557916248e-06, 0.0012800301192328334, 0.0006912891403771937, 0.0059029520489275455, -0.004367201589047909, -0.024956075474619865, 0.022586409002542496, 0.03446779027581215, -0.012960361316800117, -0.0014372625155374408, -0.014426053501665592, 0.01776641421020031, -0.00538691645488143, -0.005508242174983025, -0.008251170627772808, -0.006693737115710974, -0.00424883421510458, -0.0030098704155534506, 0.0014789323322474957, -8.246497600339353e-05, -0.012845523655414581, 0.025194581598043442, 0.0025184480473399162, -0.00496160052716732, -0.010554589331150055, -0.010357110761106014, 0.005486670881509781, -0.021662171930074692, -0.011405641213059425, -0.0068052071146667, -0.00432346 2024331093, -0.007439297158271074, -7.72375915403245e-06, -0.021758737042546272, 0.008226223289966583, 0.006653657183051109, -0.008580118417739868, 0.03419283404946327, -0.0004065808025188744, 0.002096658106893301, -0.007829351350665092, 0.01040695235133171, 0.004781882278621197, 0.005034750793129206, -0.016704533249139786, -0.016410555690526962, 0.0011981577845290303, 0.009445485658943653, -0.005858719814568758, -0.007212047465145588, -0.02453439123928547, -0.0071554724127054214, -0.014008383266627789, 0.005001842509955168, 0.00020401524670887738, -0.008169618435204029, -0.021851185709238052, 0.008030191995203495, -0.0050564780831336975, -0.02414780668914318, -0.013633708469569683, 0.006448823027312756, -0.029981538653373718, -0.03735398128628731, -6.921254680491984e-06, 0.03399209678173065, -0.004451010841876268, 0.004246181342750788, -0.032517194747924805, -0.01074709091335535, -0.004061675630509853, 0.0025288749020546675, 0.012356824241578579, 0.00828587356954813, 0.027300465852 02217, -0.007290054112672806, 0.0016192658804357052, 0.00967408251017332, 0.014147035777568817, 0.01511610671877861, 0.01129476260393858, 0.005221985280513763, 0.013473305851221085, -0.007084429729729891, 0.01748768240213394, -0.018865350633859634, 0.00915855448693037, -0.011141966097056866, 0.005098120309412479, 0.012889760546386242, -0.019689016044139862, 0.0028594080358743668, 0.0053698960691690445, -0.004294142127037048, -0.014502201229333878, 0.014149459078907967, -4.726254246634198e-06, 0.00383391254581511, 0.01293114572763443, 0.004694880452007055, 0.013098621740937233, -0.01542270090430975 -}; - -/// Third convolution biases -static const double conv3_biases[] = { -0.05037664 -}; -#endif

1 0

doc/ffmpeg: update disposition values
by Gyan Doshi 29 May '18

29 May '18

ffmpeg | branch: master | Gyan Doshi <ffmpeg(a)gyani.pro> | Tue May 29 12:15:58 2018 +0530| [cba167934bb2d634f400d3b06cec2b0f99d5de9d] | committer: Gyan Doshi doc/ffmpeg: update disposition values Thumbnail example added. Avoid transcoding in older examples. > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=cba167934bb2d634f… --- doc/ffmpeg.texi | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/doc/ffmpeg.texi b/doc/ffmpeg.texi index 88dbdeb95a..dc0bc00b10 100644 --- a/doc/ffmpeg.texi +++ b/doc/ffmpeg.texi @@ -375,22 +375,31 @@ The following dispositions are recognized: @item hearing_impaired @item visual_impaired @item clean_effects +@item attached_pic @item captions @item descriptions +@item dependent @item metadata @end table For example, to make the second audio stream the default stream: @example -ffmpeg -i in.mkv -disposition:a:1 default out.mkv +ffmpeg -i in.mkv -c copy -disposition:a:1 default out.mkv @end example To make the second subtitle stream the default stream and remove the default disposition from the first subtitle stream: @example -ffmpeg -i INPUT -disposition:s:0 0 -disposition:s:1 default OUTPUT +ffmpeg -i in.mkv -c copy -disposition:s:0 0 -disposition:s:1 default out.mkv @end example +To add an embedded cover/thumbnail: +@example +ffmpeg -i in.mp4 -i IMAGE -map 0 -map 1 -c copy -c:v:1 png -disposition:v:1 attached_pic out.mp4 +@end example + +Not all muxers support embedded thumbnails, and those who do, only support a few formats, like JPEG or PNG. + @item -program [title=@var{title}:][program_num=@var{program_num}:]st=@var{stream}[:st=@var{stream}...] (@emph{output}) Creates a program with the specified @var{title}, @var{program_num} and adds the specified

1 0

avformat/movenc: creating producer reference time (PRFT) box
by Vishwanath Dixit 29 May '18

29 May '18

ffmpeg | branch: master | Vishwanath Dixit <vdixit(a)akamai.com> | Mon May 7 15:45:51 2018 +0530| [5717cd80dcb825efcbcb0b936a02b755cd2d5f62] | committer: Karthick Jeyapal avformat/movenc: creating producer reference time (PRFT) box The producer reference time box supplies relative wall-clock times at which movie fragments, or files containing movie fragments (such as segments) were produced. The box is mainly useful in live streaming use cases. A media player can parse the box and utilize the time fields to measure and improve the latency during real time playout. > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=5717cd80dcb825efc… --- doc/muxers.texi | 10 ++++++++++ libavformat/movenc.c | 50 ++++++++++++++++++++++++++++++++++++++++++++++++++ libavformat/movenc.h | 9 +++++++++ 3 files changed, 69 insertions(+) diff --git a/doc/muxers.texi b/doc/muxers.texi index 80c65420ba..33f1f7bbaf 100644 --- a/doc/muxers.texi +++ b/doc/muxers.texi @@ -1344,6 +1344,16 @@ be negative. This enables the initial sample to have DTS/CTS of zero, and reduces the need for edit lists for some cases such as video tracks with B-frames. Additionally, eases conformance with the DASH-IF interoperability guidelines. +@item -write_prft +Write producer time reference box (PRFT) with a specified time source for the +NTP field in the PRFT box. Set value as @samp{wallclock} to specify timesource +as wallclock time and @samp{pts} to specify timesource as input packets' PTS +values. + +Setting value to @samp{pts} is applicable only for a live encoding use case, +where PTS values are set as as wallclock time at the source. For example, an +encoding use case with decklink capture source where @option{video_pts} and +@option{audio_pts} are set to @samp{abs_wallclock}. @end table @subsection Example diff --git a/libavformat/movenc.c b/libavformat/movenc.c index 0b44fd66ea..7e616e866f 100644 --- a/libavformat/movenc.c +++ b/libavformat/movenc.c @@ -98,6 +98,9 @@ static const AVOption options[] = { { "encryption_kid", "The media encryption key identifier (hex)", offsetof(MOVMuxContext, encryption_kid), AV_OPT_TYPE_BINARY, .flags = AV_OPT_FLAG_ENCODING_PARAM }, { "use_stream_ids_as_track_ids", "use stream ids as track ids", offsetof(MOVMuxContext, use_stream_ids_as_track_ids), AV_OPT_TYPE_BOOL, {.i64 = 0}, 0, 1, AV_OPT_FLAG_ENCODING_PARAM}, { "write_tmcd", "force or disable writing tmcd", offsetof(MOVMuxContext, write_tmcd), AV_OPT_TYPE_BOOL, {.i64 = -1}, -1, 1, AV_OPT_FLAG_ENCODING_PARAM}, + { "write_prft", "Write producer reference time box with specified time source", offsetof(MOVMuxContext, write_prft), AV_OPT_TYPE_INT, {.i64 = MOV_PRFT_NONE}, 0, MOV_PRFT_NB-1, AV_OPT_FLAG_ENCODING_PARAM, "prft"}, + { "wallclock", NULL, 0, AV_OPT_TYPE_CONST, {.i64 = MOV_PRFT_SRC_WALLCLOCK}, 0, 0, AV_OPT_FLAG_ENCODING_PARAM, "prft"}, + { "pts", NULL, 0, AV_OPT_TYPE_CONST, {.i64 = MOV_PRFT_SRC_PTS}, 0, 0, AV_OPT_FLAG_ENCODING_PARAM, "prft"}, { NULL }, }; @@ -4514,6 +4517,49 @@ static int mov_write_sidx_tags(AVIOContext *pb, MOVMuxContext *mov, return 0; } +static int mov_write_prft_tag(AVIOContext *pb, MOVMuxContext *mov, int tracks) +{ + int64_t pos = avio_tell(pb), pts_us, ntp_ts; + MOVTrack *first_track; + + /* PRFT should be associated with at most one track. So, choosing only the + * first track. */ + if (tracks > 0) + return 0; + first_track = &(mov->tracks[0]); + + if (!first_track->entry) { + av_log(mov->fc, AV_LOG_WARNING, "Unable to write PRFT, no entries in the track\n"); + return 0; + } + + if (first_track->cluster[0].pts == AV_NOPTS_VALUE) { + av_log(mov->fc, AV_LOG_WARNING, "Unable to write PRFT, first PTS is invalid\n"); + return 0; + } + + if (mov->write_prft == MOV_PRFT_SRC_WALLCLOCK) { + ntp_ts = ff_get_formatted_ntp_time(ff_ntp_time()); + } else if (mov->write_prft == MOV_PRFT_SRC_PTS) { + pts_us = av_rescale_q(first_track->cluster[0].pts, + first_track->st->time_base, AV_TIME_BASE_Q); + ntp_ts = ff_get_formatted_ntp_time(pts_us + NTP_OFFSET_US); + } else { + av_log(mov->fc, AV_LOG_WARNING, "Unsupported PRFT box configuration: %d\n", + mov->write_prft); + return 0; + } + + avio_wb32(pb, 0); // Size place holder + ffio_wfourcc(pb, "prft"); // Type + avio_w8(pb, 1); // Version + avio_wb24(pb, 0); // Flags + avio_wb32(pb, first_track->track_id); // reference track ID + avio_wb64(pb, ntp_ts); // NTP time stamp + avio_wb64(pb, first_track->cluster[0].pts); //media time + return update_size(pb, pos); +} + static int mov_write_moof_tag(AVIOContext *pb, MOVMuxContext *mov, int tracks, int64_t mdat_size) { @@ -4528,6 +4574,9 @@ static int mov_write_moof_tag(AVIOContext *pb, MOVMuxContext *mov, int tracks, if (mov->flags & FF_MOV_FLAG_DASH && !(mov->flags & FF_MOV_FLAG_GLOBAL_SIDX)) mov_write_sidx_tags(pb, mov, tracks, moof_size + 8 + mdat_size); + if (mov->write_prft > MOV_PRFT_NONE && mov->write_prft < MOV_PRFT_NB) + mov_write_prft_tag(pb, mov, tracks); + if (mov->flags & FF_MOV_FLAG_GLOBAL_SIDX || !(mov->flags & FF_MOV_FLAG_SKIP_TRAILER) || mov->ism_lookahead) { @@ -5317,6 +5366,7 @@ int ff_mov_write_packet(AVFormatContext *s, AVPacket *pkt) trk->cluster[trk->entry].size = size; trk->cluster[trk->entry].entries = samples_in_chunk; trk->cluster[trk->entry].dts = pkt->dts; + trk->cluster[trk->entry].pts = pkt->pts; if (!trk->entry && trk->start_dts != AV_NOPTS_VALUE) { if (!trk->frag_discont) { /* First packet of a new fragment. We already wrote the duration diff --git a/libavformat/movenc.h b/libavformat/movenc.h index c9b4072fb9..f2967bface 100644 --- a/libavformat/movenc.h +++ b/libavformat/movenc.h @@ -46,6 +46,7 @@ typedef struct MOVIentry { uint64_t pos; int64_t dts; + int64_t pts; unsigned int size; unsigned int samples_in_chunk; unsigned int chunkNum; ///< Chunk number if the current entry is a chunk start otherwise 0 @@ -169,6 +170,13 @@ typedef enum { MOV_ENC_CENC_AES_CTR, } MOVEncryptionScheme; +typedef enum { + MOV_PRFT_NONE = 0, + MOV_PRFT_SRC_WALLCLOCK, + MOV_PRFT_SRC_PTS, + MOV_PRFT_NB +} MOVPrftBox; + typedef struct MOVMuxContext { const AVClass *av_class; int mode; @@ -224,6 +232,7 @@ typedef struct MOVMuxContext { int use_stream_ids_as_track_ids; int track_ids_ok; int write_tmcd; + MOVPrftBox write_prft; } MOVMuxContext; #define FF_MOV_FLAG_RTP_HINT (1 << 0)

1 0

avformat/utils: function to get the formatted ntp time
by Vishwanath Dixit 29 May '18

29 May '18

ffmpeg | branch: master | Vishwanath Dixit <vdixit(a)akamai.com> | Mon May 7 15:45:36 2018 +0530| [f09635f2a2e653ab5f790b1e9d7a15794745ca30] | committer: Karthick Jeyapal avformat/utils: function to get the formatted ntp time This utility function creates 64-bit NTP time format as per the RFC 5905. A simple explaination of 64-bit NTP time format is here http://www.beaglesoft.com/Manual/page53.htm > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=f09635f2a2e653ab5… --- libavformat/internal.h | 8 ++++++++ libavformat/utils.c | 22 ++++++++++++++++++++++ 2 files changed, 30 insertions(+) diff --git a/libavformat/internal.h b/libavformat/internal.h index 3582682925..0b8120b842 100644 --- a/libavformat/internal.h +++ b/libavformat/internal.h @@ -240,6 +240,14 @@ void ff_read_frame_flush(AVFormatContext *s); uint64_t ff_ntp_time(void); /** + * Get the NTP time stamp formatted as per the RFC-5905. + * + * @param ntp_time NTP time in micro seconds (since NTP epoch) + * @return the formatted NTP time stamp + */ +uint64_t ff_get_formatted_ntp_time(uint64_t ntp_time_us); + +/** * Append the media-specific SDP fragment for the media stream c * to the buffer buff. * diff --git a/libavformat/utils.c b/libavformat/utils.c index a4aa4e10b1..c9cdd2b470 100644 --- a/libavformat/utils.c +++ b/libavformat/utils.c @@ -4644,6 +4644,28 @@ uint64_t ff_ntp_time(void) return (av_gettime() / 1000) * 1000 + NTP_OFFSET_US; } +uint64_t ff_get_formatted_ntp_time(uint64_t ntp_time_us) +{ + uint64_t ntp_ts, frac_part, sec; + uint32_t usec; + + //current ntp time in seconds and micro seconds + sec = ntp_time_us / 1000000; + usec = ntp_time_us % 1000000; + + //encoding in ntp timestamp format + frac_part = usec * 0xFFFFFFFFULL; + frac_part /= 1000000; + + if (sec > 0xFFFFFFFFULL) + av_log(NULL, AV_LOG_WARNING, "NTP time format roll over detected\n"); + + ntp_ts = sec << 32; + ntp_ts |= frac_part; + + return ntp_ts; +} + int av_get_frame_filename2(char *buf, int buf_size, const char *path, int number, int flags) { const char *p;

1 0

avcodec/vc1: store zero MVs for all blocks in a MB
by Jerome Borsboom 28 May '18

28 May '18

ffmpeg | branch: master | Jerome Borsboom <jerome.borsboom(a)carpalis.nl> | Mon May 28 23:50:28 2018 +0200| [8a4dbd3e9fd13a0941bbb63d249ed92c2037fd4c] | committer: Carl Eugen Hoyos avcodec/vc1: store zero MVs for all blocks in a MB Direct prediction for interlace frame B pictures references the mv in the second block in an MB in the backward reference frame for the twomv case. When the backward reference frame is an I frame, this value may be unset. Signed-off-by: Jerome Borsboom <jerome.borsboom(a)carpalis.nl> > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=8a4dbd3e9fd13a094… --- libavcodec/vc1_block.c | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/libavcodec/vc1_block.c b/libavcodec/vc1_block.c index 21ab108169..0160095c6c 100644 --- a/libavcodec/vc1_block.c +++ b/libavcodec/vc1_block.c @@ -2678,8 +2678,10 @@ static void vc1_decode_i_blocks_adv(VC1Context *v) s->bdsp.clear_blocks(block[0]); mb_pos = s->mb_x + s->mb_y * s->mb_stride; s->current_picture.mb_type[mb_pos + v->mb_off] = MB_TYPE_INTRA; - s->current_picture.motion_val[1][s->block_index[0] + v->blocks_off][0] = 0; - s->current_picture.motion_val[1][s->block_index[0] + v->blocks_off][1] = 0; + for (int i = 0; i < 4; i++) { + s->current_picture.motion_val[1][s->block_index[i] + v->blocks_off][0] = 0; + s->current_picture.motion_val[1][s->block_index[i] + v->blocks_off][1] = 0; + } // do actual MB decoding and displaying if (v->fieldtx_is_raw)

1 0

avcodec/vc1: fix mquant calculation for interlace field pictures
by Jerome Borsboom 28 May '18

28 May '18

ffmpeg | branch: master | Jerome Borsboom <jerome.borsboom(a)carpalis.nl> | Fri May 18 17:06:23 2018 +0200| [c0402e1e30c2318359af1bce1d652f4616b21566] | committer: Carl Eugen Hoyos avcodec/vc1: fix mquant calculation for interlace field pictures For interlace field pictures s->mb_height indicates the height of the full picture in MBs, i.e. the two fields combined. A single field is half this size. When calculating mquant for interlace field pictures, the bottom edge is the last MB row of the field. Signed-off-by: Jerome Borsboom <jerome.borsboom(a)carpalis.nl> > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=c0402e1e30c231835… --- libavcodec/vc1_block.c | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/libavcodec/vc1_block.c b/libavcodec/vc1_block.c index 2d76da293b..21ab108169 100644 --- a/libavcodec/vc1_block.c +++ b/libavcodec/vc1_block.c @@ -181,7 +181,8 @@ static void vc1_put_signed_blocks_clamped(VC1Context *v) mquant = -v->altpq; \ if ((edges&4) && s->mb_x == (s->mb_width - 1)) \ mquant = -v->altpq; \ - if ((edges&8) && s->mb_y == (s->mb_height - 1)) \ + if ((edges&8) && \ + s->mb_y == ((s->mb_height >> v->field_mode) - 1)) \ mquant = -v->altpq; \ if (!mquant || mquant > 31) { \ av_log(v->s.avctx, AV_LOG_ERROR, \

1 0

avcodec/allcodecs: Provide empty codec_list in allcodecs when ossfuzz is used
by Michael Niedermayer 28 May '18

28 May '18

ffmpeg | branch: master | Michael Niedermayer <michael(a)niedermayer.cc> | Mon May 28 02:37:48 2018 +0200| [42f40d36b74e51a7f66a3a391924f01f3da5bea1] | committer: Michael Niedermayer avcodec/allcodecs: Provide empty codec_list in allcodecs when ossfuzz is used The last workaround is not sufficient to make oss fuzz work with the iterate API as it did not provide a FFmpeg that external libs can be linked to. This patch does not fully restore the pre iterate functionality. My attempts to do this have so far failed. The problem with this solution is that it renders the fuzzers virtual system ffmpeg (libs) non functional. Which differs from a real system compared to the virtual system tested by the fuzzer. It should theoretically not matter as the system ffmpeg wouldnt be used. But with more cases being fuzzed we likely will hit a case where a external lib is involved and it does matter ... Working around this may be possible with weak symbols but so far my attempts failed Alternatively multiple ffmpeg could be built, this becomes messy though quickly as they need to be all linked together. That is we need a FFmpeg that has the iterate API modified so it can work with the resources available to ossfuzz. And at the same time we need a ffmpeg that has its full functionality for any external libs which use ffmpeg and are used by ffmpeg. Signed-off-by: Michael Niedermayer <michael(a)niedermayer.cc> > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=42f40d36b74e51a7f… --- libavcodec/allcodecs.c | 5 ++++- tools/target_dec_fuzzer.c | 5 +---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/libavcodec/allcodecs.c b/libavcodec/allcodecs.c index 7b7a8c71ff..90d170b06b 100644 --- a/libavcodec/allcodecs.c +++ b/libavcodec/allcodecs.c @@ -762,7 +762,10 @@ extern AVCodec ff_vp9_vaapi_encoder; // The iterate API is not usable with ossfuzz due to the excessive size of binaries created #if CONFIG_OSSFUZZ -extern AVCodec * codec_list[]; +AVCodec * codec_list[] = { + NULL, + NULL +}; #else #include "libavcodec/codec_list.c" #endif diff --git a/tools/target_dec_fuzzer.c b/tools/target_dec_fuzzer.c index 26a4cc2e89..a0e8943c82 100644 --- a/tools/target_dec_fuzzer.c +++ b/tools/target_dec_fuzzer.c @@ -56,10 +56,7 @@ int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size); -AVCodec * codec_list[] = { - NULL, - NULL -}; +extern AVCodec * codec_list[]; static void error(const char *err) {

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lavf/libssh: translate a read of 0 to EOF
by Jan Ekström 28 May '18

28 May '18

ffmpeg | branch: release/4.0 | Jan Ekström <jeebjp(a)gmail.com> | Mon May 28 03:21:35 2018 +0300| [c8b57d4333b1bc5c4125fdac8fbf4625c399fc9c] | committer: Jan Ekström lavf/libssh: translate a read of 0 to EOF Yet another case of forgotten 0 =! EOF translation. While the documentation for this specific synchronous read function does not mention it, the documentation for `sftp_async_read` documents it, as well as looking at the implementation of this function leads one to find `if (handle->eof) { return 0; }`. Reported by stnutt on IRC. (cherry picked from commit 26892c7615395f331f6143535f03a2957973e2e0) > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=c8b57d4333b1bc5c4… --- libavformat/libssh.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libavformat/libssh.c b/libavformat/libssh.c index 9e3d4da45e..21474f0f0a 100644 --- a/libavformat/libssh.c +++ b/libavformat/libssh.c @@ -295,7 +295,7 @@ static int libssh_read(URLContext *h, unsigned char *buf, int size) av_log(libssh, AV_LOG_ERROR, "Read error.\n"); return AVERROR(EIO); } - return bytes_read; + return bytes_read ? bytes_read : AVERROR_EOF; } static int libssh_write(URLContext *h, const unsigned char *buf, int size)

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lavf/libssh: translate a read of 0 to EOF
by Jan Ekström 28 May '18

28 May '18

ffmpeg | branch: master | Jan Ekström <jeebjp(a)gmail.com> | Mon May 28 03:21:35 2018 +0300| [26892c7615395f331f6143535f03a2957973e2e0] | committer: Jan Ekström lavf/libssh: translate a read of 0 to EOF Yet another case of forgotten 0 =! EOF translation. While the documentation for this specific synchronous read function does not mention it, the documentation for `sftp_async_read` documents it, as well as looking at the implementation of this function leads one to find `if (handle->eof) { return 0; }`. Reported by stnutt on IRC. > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=26892c7615395f331… --- libavformat/libssh.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libavformat/libssh.c b/libavformat/libssh.c index 9e3d4da45e..21474f0f0a 100644 --- a/libavformat/libssh.c +++ b/libavformat/libssh.c @@ -295,7 +295,7 @@ static int libssh_read(URLContext *h, unsigned char *buf, int size) av_log(libssh, AV_LOG_ERROR, "Read error.\n"); return AVERROR(EIO); } - return bytes_read; + return bytes_read ? bytes_read : AVERROR_EOF; } static int libssh_write(URLContext *h, const unsigned char *buf, int size)

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