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  1. /*
  2. * Copyright (c) 2018 Sergey Lavrushkin
  3. *
  4. * This file is part of FFmpeg.
  5. *
  6. * FFmpeg is free software; you can redistribute it and/or
  7. * modify it under the terms of the GNU Lesser General Public
  8. * License as published by the Free Software Foundation; either
  9. * version 2.1 of the License, or (at your option) any later version.
  10. *
  11. * FFmpeg is distributed in the hope that it will be useful,
  12. * but WITHOUT ANY WARRANTY; without even the implied warranty of
  13. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
  14. * Lesser General Public License for more details.
  15. *
  16. * You should have received a copy of the GNU Lesser General Public
  17. * License along with FFmpeg; if not, write to the Free Software
  18. * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
  19. */
  20. /**
  21. * @file
  22. * Filter implementing image super-resolution using deep convolutional networks.
  23. * https://arxiv.org/abs/1501.00092
  24. * https://arxiv.org/abs/1609.05158
  25. */
  26. #include "avfilter.h"
  27. #include "formats.h"
  28. #include "internal.h"
  29. #include "libavutil/opt.h"
  30. #include "libavformat/avio.h"
  31. #include "libswscale/swscale.h"
  32. #include "dnn_interface.h"
  33. typedef struct SRContext {
  34. const AVClass *class;
  35. char *model_filename;
  36. DNNBackendType backend_type;
  37. DNNModule *dnn_module;
  38. DNNModel *model;
  39. DNNData input, output;
  40. int scale_factor;
  41. struct SwsContext *sws_contexts[3];
  42. int sws_slice_h, sws_input_linesize, sws_output_linesize;
  43. } SRContext;
  44. #define OFFSET(x) offsetof(SRContext, x)
  45. #define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
  46. static const AVOption sr_options[] = {
  47. { "dnn_backend", "DNN backend used for model execution", OFFSET(backend_type), AV_OPT_TYPE_FLAGS, { .i64 = 0 }, 0, 1, FLAGS, "backend" },
  48. { "native", "native backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 0 }, 0, 0, FLAGS, "backend" },
  49. #if (CONFIG_LIBTENSORFLOW == 1)
  50. { "tensorflow", "tensorflow backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 1 }, 0, 0, FLAGS, "backend" },
  51. #endif
  52. { "scale_factor", "scale factor for SRCNN model", OFFSET(scale_factor), AV_OPT_TYPE_INT, { .i64 = 2 }, 2, 4, FLAGS },
  53. { "model", "path to model file specifying network architecture and its parameters", OFFSET(model_filename), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 0, FLAGS },
  54. { NULL }
  55. };
  56. AVFILTER_DEFINE_CLASS(sr);
  57. static av_cold int init(AVFilterContext *context)
  58. {
  59. SRContext *sr_context = context->priv;
  60. sr_context->dnn_module = ff_get_dnn_module(sr_context->backend_type);
  61. if (!sr_context->dnn_module){
  62. av_log(context, AV_LOG_ERROR, "could not create DNN module for requested backend\n");
  63. return AVERROR(ENOMEM);
  64. }
  65. if (!sr_context->model_filename){
  66. av_log(context, AV_LOG_ERROR, "model file for network was not specified\n");
  67. return AVERROR(EIO);
  68. }
  69. else{
  70. sr_context->model = (sr_context->dnn_module->load_model)(sr_context->model_filename);
  71. }
  72. if (!sr_context->model){
  73. av_log(context, AV_LOG_ERROR, "could not load DNN model\n");
  74. return AVERROR(EIO);
  75. }
  76. sr_context->sws_contexts[0] = NULL;
  77. sr_context->sws_contexts[1] = NULL;
  78. sr_context->sws_contexts[2] = NULL;
  79. return 0;
  80. }
  81. static int query_formats(AVFilterContext *context)
  82. {
  83. const enum AVPixelFormat pixel_formats[] = {AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUV444P,
  84. AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_GRAY8,
  85. AV_PIX_FMT_NONE};
  86. AVFilterFormats *formats_list;
  87. formats_list = ff_make_format_list(pixel_formats);
  88. if (!formats_list){
  89. av_log(context, AV_LOG_ERROR, "could not create formats list\n");
  90. return AVERROR(ENOMEM);
  91. }
  92. return ff_set_common_formats(context, formats_list);
  93. }
  94. static int config_props(AVFilterLink *inlink)
  95. {
  96. AVFilterContext *context = inlink->dst;
  97. SRContext *sr_context = context->priv;
  98. AVFilterLink *outlink = context->outputs[0];
  99. DNNReturnType result;
  100. int sws_src_h, sws_src_w, sws_dst_h, sws_dst_w;
  101. sr_context->input.width = inlink->w * sr_context->scale_factor;
  102. sr_context->input.height = inlink->h * sr_context->scale_factor;
  103. sr_context->input.channels = 1;
  104. result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, &sr_context->output);
  105. if (result != DNN_SUCCESS){
  106. av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n");
  107. return AVERROR(EIO);
  108. }
  109. else{
  110. if (sr_context->input.height != sr_context->output.height || sr_context->input.width != sr_context->output.width){
  111. sr_context->input.width = inlink->w;
  112. sr_context->input.height = inlink->h;
  113. result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, &sr_context->output);
  114. if (result != DNN_SUCCESS){
  115. av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n");
  116. return AVERROR(EIO);
  117. }
  118. sr_context->scale_factor = 0;
  119. }
  120. outlink->h = sr_context->output.height;
  121. outlink->w = sr_context->output.width;
  122. sr_context->sws_contexts[1] = sws_getContext(sr_context->input.width, sr_context->input.height, AV_PIX_FMT_GRAY8,
  123. sr_context->input.width, sr_context->input.height, AV_PIX_FMT_GRAYF32,
  124. 0, NULL, NULL, NULL);
  125. sr_context->sws_input_linesize = sr_context->input.width << 2;
  126. sr_context->sws_contexts[2] = sws_getContext(sr_context->output.width, sr_context->output.height, AV_PIX_FMT_GRAYF32,
  127. sr_context->output.width, sr_context->output.height, AV_PIX_FMT_GRAY8,
  128. 0, NULL, NULL, NULL);
  129. sr_context->sws_output_linesize = sr_context->output.width << 2;
  130. if (!sr_context->sws_contexts[1] || !sr_context->sws_contexts[2]){
  131. av_log(context, AV_LOG_ERROR, "could not create SwsContext for conversions\n");
  132. return AVERROR(ENOMEM);
  133. }
  134. if (sr_context->scale_factor){
  135. sr_context->sws_contexts[0] = sws_getContext(inlink->w, inlink->h, inlink->format,
  136. outlink->w, outlink->h, outlink->format,
  137. SWS_BICUBIC, NULL, NULL, NULL);
  138. if (!sr_context->sws_contexts[0]){
  139. av_log(context, AV_LOG_ERROR, "could not create SwsContext for scaling\n");
  140. return AVERROR(ENOMEM);
  141. }
  142. sr_context->sws_slice_h = inlink->h;
  143. }
  144. else{
  145. if (inlink->format != AV_PIX_FMT_GRAY8){
  146. sws_src_h = sr_context->input.height;
  147. sws_src_w = sr_context->input.width;
  148. sws_dst_h = sr_context->output.height;
  149. sws_dst_w = sr_context->output.width;
  150. switch (inlink->format){
  151. case AV_PIX_FMT_YUV420P:
  152. sws_src_h = AV_CEIL_RSHIFT(sws_src_h, 1);
  153. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 1);
  154. sws_dst_h = AV_CEIL_RSHIFT(sws_dst_h, 1);
  155. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 1);
  156. break;
  157. case AV_PIX_FMT_YUV422P:
  158. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 1);
  159. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 1);
  160. break;
  161. case AV_PIX_FMT_YUV444P:
  162. break;
  163. case AV_PIX_FMT_YUV410P:
  164. sws_src_h = AV_CEIL_RSHIFT(sws_src_h, 2);
  165. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 2);
  166. sws_dst_h = AV_CEIL_RSHIFT(sws_dst_h, 2);
  167. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 2);
  168. break;
  169. case AV_PIX_FMT_YUV411P:
  170. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 2);
  171. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 2);
  172. break;
  173. default:
  174. av_log(context, AV_LOG_ERROR, "could not create SwsContext for scaling for given input pixel format");
  175. return AVERROR(EIO);
  176. }
  177. sr_context->sws_contexts[0] = sws_getContext(sws_src_w, sws_src_h, AV_PIX_FMT_GRAY8,
  178. sws_dst_w, sws_dst_h, AV_PIX_FMT_GRAY8,
  179. SWS_BICUBIC, NULL, NULL, NULL);
  180. if (!sr_context->sws_contexts[0]){
  181. av_log(context, AV_LOG_ERROR, "could not create SwsContext for scaling\n");
  182. return AVERROR(ENOMEM);
  183. }
  184. sr_context->sws_slice_h = sws_src_h;
  185. }
  186. }
  187. return 0;
  188. }
  189. }
  190. static int filter_frame(AVFilterLink *inlink, AVFrame *in)
  191. {
  192. AVFilterContext *context = inlink->dst;
  193. SRContext *sr_context = context->priv;
  194. AVFilterLink *outlink = context->outputs[0];
  195. AVFrame *out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
  196. DNNReturnType dnn_result;
  197. if (!out){
  198. av_log(context, AV_LOG_ERROR, "could not allocate memory for output frame\n");
  199. av_frame_free(&in);
  200. return AVERROR(ENOMEM);
  201. }
  202. av_frame_copy_props(out, in);
  203. out->height = sr_context->output.height;
  204. out->width = sr_context->output.width;
  205. if (sr_context->scale_factor){
  206. sws_scale(sr_context->sws_contexts[0], (const uint8_t **)in->data, in->linesize,
  207. 0, sr_context->sws_slice_h, out->data, out->linesize);
  208. sws_scale(sr_context->sws_contexts[1], (const uint8_t **)out->data, out->linesize,
  209. 0, out->height, (uint8_t * const*)(&sr_context->input.data), &sr_context->sws_input_linesize);
  210. }
  211. else{
  212. if (sr_context->sws_contexts[0]){
  213. sws_scale(sr_context->sws_contexts[0], (const uint8_t **)(in->data + 1), in->linesize + 1,
  214. 0, sr_context->sws_slice_h, out->data + 1, out->linesize + 1);
  215. sws_scale(sr_context->sws_contexts[0], (const uint8_t **)(in->data + 2), in->linesize + 2,
  216. 0, sr_context->sws_slice_h, out->data + 2, out->linesize + 2);
  217. }
  218. sws_scale(sr_context->sws_contexts[1], (const uint8_t **)in->data, in->linesize,
  219. 0, in->height, (uint8_t * const*)(&sr_context->input.data), &sr_context->sws_input_linesize);
  220. }
  221. av_frame_free(&in);
  222. dnn_result = (sr_context->dnn_module->execute_model)(sr_context->model);
  223. if (dnn_result != DNN_SUCCESS){
  224. av_log(context, AV_LOG_ERROR, "failed to execute loaded model\n");
  225. return AVERROR(EIO);
  226. }
  227. sws_scale(sr_context->sws_contexts[2], (const uint8_t **)(&sr_context->output.data), &sr_context->sws_output_linesize,
  228. 0, out->height, (uint8_t * const*)out->data, out->linesize);
  229. return ff_filter_frame(outlink, out);
  230. }
  231. static av_cold void uninit(AVFilterContext *context)
  232. {
  233. int i;
  234. SRContext *sr_context = context->priv;
  235. if (sr_context->dnn_module){
  236. (sr_context->dnn_module->free_model)(&sr_context->model);
  237. av_freep(&sr_context->dnn_module);
  238. }
  239. for (i = 0; i < 3; ++i){
  240. if (sr_context->sws_contexts[i]){
  241. sws_freeContext(sr_context->sws_contexts[i]);
  242. }
  243. }
  244. }
  245. static const AVFilterPad sr_inputs[] = {
  246. {
  247. .name = "default",
  248. .type = AVMEDIA_TYPE_VIDEO,
  249. .config_props = config_props,
  250. .filter_frame = filter_frame,
  251. },
  252. { NULL }
  253. };
  254. static const AVFilterPad sr_outputs[] = {
  255. {
  256. .name = "default",
  257. .type = AVMEDIA_TYPE_VIDEO,
  258. },
  259. { NULL }
  260. };
  261. AVFilter ff_vf_sr = {
  262. .name = "sr",
  263. .description = NULL_IF_CONFIG_SMALL("Apply DNN-based image super resolution to the input."),
  264. .priv_size = sizeof(SRContext),
  265. .init = init,
  266. .uninit = uninit,
  267. .query_formats = query_formats,
  268. .inputs = sr_inputs,
  269. .outputs = sr_outputs,
  270. .priv_class = &sr_class,
  271. .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
  272. };