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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. if (!sr_context->dnn_module->load_model) {
  71. av_log(context, AV_LOG_ERROR, "load_model for network was not specified\n");
  72. return AVERROR(EIO);
  73. } else {
  74. sr_context->model = (sr_context->dnn_module->load_model)(sr_context->model_filename);
  75. }
  76. }
  77. if (!sr_context->model){
  78. av_log(context, AV_LOG_ERROR, "could not load DNN model\n");
  79. return AVERROR(EIO);
  80. }
  81. sr_context->sws_contexts[0] = NULL;
  82. sr_context->sws_contexts[1] = NULL;
  83. sr_context->sws_contexts[2] = NULL;
  84. return 0;
  85. }
  86. static int query_formats(AVFilterContext *context)
  87. {
  88. const enum AVPixelFormat pixel_formats[] = {AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUV444P,
  89. AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_GRAY8,
  90. AV_PIX_FMT_NONE};
  91. AVFilterFormats *formats_list;
  92. formats_list = ff_make_format_list(pixel_formats);
  93. if (!formats_list){
  94. av_log(context, AV_LOG_ERROR, "could not create formats list\n");
  95. return AVERROR(ENOMEM);
  96. }
  97. return ff_set_common_formats(context, formats_list);
  98. }
  99. static int config_props(AVFilterLink *inlink)
  100. {
  101. AVFilterContext *context = inlink->dst;
  102. SRContext *sr_context = context->priv;
  103. AVFilterLink *outlink = context->outputs[0];
  104. DNNReturnType result;
  105. int sws_src_h, sws_src_w, sws_dst_h, sws_dst_w;
  106. sr_context->input.width = inlink->w * sr_context->scale_factor;
  107. sr_context->input.height = inlink->h * sr_context->scale_factor;
  108. sr_context->input.channels = 1;
  109. result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, &sr_context->output);
  110. if (result != DNN_SUCCESS){
  111. av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n");
  112. return AVERROR(EIO);
  113. }
  114. else{
  115. if (sr_context->input.height != sr_context->output.height || sr_context->input.width != sr_context->output.width){
  116. sr_context->input.width = inlink->w;
  117. sr_context->input.height = inlink->h;
  118. result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, &sr_context->output);
  119. if (result != DNN_SUCCESS){
  120. av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n");
  121. return AVERROR(EIO);
  122. }
  123. sr_context->scale_factor = 0;
  124. }
  125. outlink->h = sr_context->output.height;
  126. outlink->w = sr_context->output.width;
  127. sr_context->sws_contexts[1] = sws_getContext(sr_context->input.width, sr_context->input.height, AV_PIX_FMT_GRAY8,
  128. sr_context->input.width, sr_context->input.height, AV_PIX_FMT_GRAYF32,
  129. 0, NULL, NULL, NULL);
  130. sr_context->sws_input_linesize = sr_context->input.width << 2;
  131. sr_context->sws_contexts[2] = sws_getContext(sr_context->output.width, sr_context->output.height, AV_PIX_FMT_GRAYF32,
  132. sr_context->output.width, sr_context->output.height, AV_PIX_FMT_GRAY8,
  133. 0, NULL, NULL, NULL);
  134. sr_context->sws_output_linesize = sr_context->output.width << 2;
  135. if (!sr_context->sws_contexts[1] || !sr_context->sws_contexts[2]){
  136. av_log(context, AV_LOG_ERROR, "could not create SwsContext for conversions\n");
  137. return AVERROR(ENOMEM);
  138. }
  139. if (sr_context->scale_factor){
  140. sr_context->sws_contexts[0] = sws_getContext(inlink->w, inlink->h, inlink->format,
  141. outlink->w, outlink->h, outlink->format,
  142. SWS_BICUBIC, NULL, NULL, NULL);
  143. if (!sr_context->sws_contexts[0]){
  144. av_log(context, AV_LOG_ERROR, "could not create SwsContext for scaling\n");
  145. return AVERROR(ENOMEM);
  146. }
  147. sr_context->sws_slice_h = inlink->h;
  148. }
  149. else{
  150. if (inlink->format != AV_PIX_FMT_GRAY8){
  151. sws_src_h = sr_context->input.height;
  152. sws_src_w = sr_context->input.width;
  153. sws_dst_h = sr_context->output.height;
  154. sws_dst_w = sr_context->output.width;
  155. switch (inlink->format){
  156. case AV_PIX_FMT_YUV420P:
  157. sws_src_h = AV_CEIL_RSHIFT(sws_src_h, 1);
  158. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 1);
  159. sws_dst_h = AV_CEIL_RSHIFT(sws_dst_h, 1);
  160. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 1);
  161. break;
  162. case AV_PIX_FMT_YUV422P:
  163. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 1);
  164. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 1);
  165. break;
  166. case AV_PIX_FMT_YUV444P:
  167. break;
  168. case AV_PIX_FMT_YUV410P:
  169. sws_src_h = AV_CEIL_RSHIFT(sws_src_h, 2);
  170. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 2);
  171. sws_dst_h = AV_CEIL_RSHIFT(sws_dst_h, 2);
  172. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 2);
  173. break;
  174. case AV_PIX_FMT_YUV411P:
  175. sws_src_w = AV_CEIL_RSHIFT(sws_src_w, 2);
  176. sws_dst_w = AV_CEIL_RSHIFT(sws_dst_w, 2);
  177. break;
  178. default:
  179. av_log(context, AV_LOG_ERROR, "could not create SwsContext for scaling for given input pixel format");
  180. return AVERROR(EIO);
  181. }
  182. sr_context->sws_contexts[0] = sws_getContext(sws_src_w, sws_src_h, AV_PIX_FMT_GRAY8,
  183. sws_dst_w, sws_dst_h, AV_PIX_FMT_GRAY8,
  184. SWS_BICUBIC, NULL, NULL, NULL);
  185. if (!sr_context->sws_contexts[0]){
  186. av_log(context, AV_LOG_ERROR, "could not create SwsContext for scaling\n");
  187. return AVERROR(ENOMEM);
  188. }
  189. sr_context->sws_slice_h = sws_src_h;
  190. }
  191. }
  192. return 0;
  193. }
  194. }
  195. static int filter_frame(AVFilterLink *inlink, AVFrame *in)
  196. {
  197. AVFilterContext *context = inlink->dst;
  198. SRContext *sr_context = context->priv;
  199. AVFilterLink *outlink = context->outputs[0];
  200. AVFrame *out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
  201. DNNReturnType dnn_result;
  202. if (!out){
  203. av_log(context, AV_LOG_ERROR, "could not allocate memory for output frame\n");
  204. av_frame_free(&in);
  205. return AVERROR(ENOMEM);
  206. }
  207. av_frame_copy_props(out, in);
  208. out->height = sr_context->output.height;
  209. out->width = sr_context->output.width;
  210. if (sr_context->scale_factor){
  211. sws_scale(sr_context->sws_contexts[0], (const uint8_t **)in->data, in->linesize,
  212. 0, sr_context->sws_slice_h, out->data, out->linesize);
  213. sws_scale(sr_context->sws_contexts[1], (const uint8_t **)out->data, out->linesize,
  214. 0, out->height, (uint8_t * const*)(&sr_context->input.data),
  215. (const int [4]){sr_context->sws_input_linesize, 0, 0, 0});
  216. }
  217. else{
  218. if (sr_context->sws_contexts[0]){
  219. sws_scale(sr_context->sws_contexts[0], (const uint8_t **)(in->data + 1), in->linesize + 1,
  220. 0, sr_context->sws_slice_h, out->data + 1, out->linesize + 1);
  221. sws_scale(sr_context->sws_contexts[0], (const uint8_t **)(in->data + 2), in->linesize + 2,
  222. 0, sr_context->sws_slice_h, out->data + 2, out->linesize + 2);
  223. }
  224. sws_scale(sr_context->sws_contexts[1], (const uint8_t **)in->data, in->linesize,
  225. 0, in->height, (uint8_t * const*)(&sr_context->input.data),
  226. (const int [4]){sr_context->sws_input_linesize, 0, 0, 0});
  227. }
  228. av_frame_free(&in);
  229. dnn_result = (sr_context->dnn_module->execute_model)(sr_context->model);
  230. if (dnn_result != DNN_SUCCESS){
  231. av_log(context, AV_LOG_ERROR, "failed to execute loaded model\n");
  232. return AVERROR(EIO);
  233. }
  234. sws_scale(sr_context->sws_contexts[2], (const uint8_t *[4]){(const uint8_t *)sr_context->output.data, 0, 0, 0},
  235. (const int[4]){sr_context->sws_output_linesize, 0, 0, 0},
  236. 0, out->height, (uint8_t * const*)out->data, out->linesize);
  237. return ff_filter_frame(outlink, out);
  238. }
  239. static av_cold void uninit(AVFilterContext *context)
  240. {
  241. int i;
  242. SRContext *sr_context = context->priv;
  243. if (sr_context->dnn_module){
  244. (sr_context->dnn_module->free_model)(&sr_context->model);
  245. av_freep(&sr_context->dnn_module);
  246. }
  247. for (i = 0; i < 3; ++i){
  248. if (sr_context->sws_contexts[i]){
  249. sws_freeContext(sr_context->sws_contexts[i]);
  250. }
  251. }
  252. }
  253. static const AVFilterPad sr_inputs[] = {
  254. {
  255. .name = "default",
  256. .type = AVMEDIA_TYPE_VIDEO,
  257. .config_props = config_props,
  258. .filter_frame = filter_frame,
  259. },
  260. { NULL }
  261. };
  262. static const AVFilterPad sr_outputs[] = {
  263. {
  264. .name = "default",
  265. .type = AVMEDIA_TYPE_VIDEO,
  266. },
  267. { NULL }
  268. };
  269. AVFilter ff_vf_sr = {
  270. .name = "sr",
  271. .description = NULL_IF_CONFIG_SMALL("Apply DNN-based image super resolution to the input."),
  272. .priv_size = sizeof(SRContext),
  273. .init = init,
  274. .uninit = uninit,
  275. .query_formats = query_formats,
  276. .inputs = sr_inputs,
  277. .outputs = sr_outputs,
  278. .priv_class = &sr_class,
  279. .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
  280. };