git.sesse.net Git - casparcg/blob - core/producer/stage.cpp

   1 /*\r
   2 * Copyright (c) 2011 Sveriges Television AB <info@casparcg.com>\r
   3 *\r
   4 * This file is part of CasparCG (www.casparcg.com).\r
   5 *\r
   6 * CasparCG is free software: you can redistribute it and/or modify\r
   7 * it under the terms of the GNU General Public License as published by\r
   8 * the Free Software Foundation, either version 3 of the License, or\r
   9 * (at your option) any later version.\r
  10 *\r
  11 * CasparCG is distributed in the hope that it will be useful,\r
  12 * but WITHOUT ANY WARRANTY; without even the implied warranty of\r
  13 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\r
  14 * GNU General Public License for more details.\r
  15 *\r
  16 * You should have received a copy of the GNU General Public License\r
  17 * along with CasparCG. If not, see <http://www.gnu.org/licenses/>.\r
  18 *\r
  19 * Author: Robert Nagy, ronag89@gmail.com\r
  20 */\r
  21 \r
  22 #include "../StdAfx.h"\r
  23 \r
  24 #include "stage.h"\r
  25 \r
  26 #include "layer.h"\r
  27 \r
  28 #include "../frame/draw_frame.h"\r
  29 #include "../frame/frame_factory.h"\r
  30 \r
  31 #include <common/executor.h>\r
  32 #include <common/diagnostics/graph.h>\r
  33 \r
  34 #include <core/frame/frame_transform.h>\r
  35 \r
  36 #include <boost/foreach.hpp>\r
  37 #include <boost/timer.hpp>\r
  38 #include <boost/property_tree/ptree.hpp>\r
  39 #include <boost/range/algorithm_ext.hpp>\r
  40 \r
  41 #include <tbb/parallel_for_each.h>\r
  42 \r
  43 #include <functional>\r
  44 #include <map>\r
  45 #include <vector>\r
  46 \r
  47 namespace caspar { namespace core {\r
  48         \r
  49 struct stage::impl : public std::enable_shared_from_this<impl>\r
  50 {                               \r
  51         spl::shared_ptr<diagnostics::graph> graph_;\r
  52         monitor::basic_subject                          event_subject_;\r
  53         std::map<int, layer>                            layers_;        \r
  54         std::map<int, tweened_transform>        tweens_;        \r
  55         executor                                                        executor_;\r
  56 public:\r
  57         impl(spl::shared_ptr<diagnostics::graph> graph) \r
  58                 : graph_(std::move(graph))\r
  59                 , event_subject_("stage")\r
  60                 , executor_(L"stage")\r
  61         {\r
  62                 graph_->set_color("produce-time", diagnostics::color(0.0f, 1.0f, 0.0f));\r
  63         }\r
  64                 \r
  65         std::map<int, draw_frame> operator()(const struct video_format_desc& format_desc)\r
  66         {               \r
  67                 return executor_.invoke([=]() -> std::map<int, draw_frame>\r
  68                 {\r
  69                         boost::timer frame_timer;\r
  70 \r
  71                         std::map<int, class draw_frame> frames;\r
  72                         \r
  73                         try\r
  74                         {                       \r
  75                                 std::vector<int> indices;\r
  76 \r
  77                                 BOOST_FOREACH(auto& layer, layers_)     \r
  78                                 {\r
  79                                         frames[layer.first] = draw_frame::empty();      \r
  80                                         indices.push_back(layer.first);\r
  81                                 }                               \r
  82 \r
  83                                 // WORKAROUND: Compiler doesn't seem to like lambda.\r
  84                                 tbb::parallel_for_each(indices.begin(), indices.end(), std::bind(&stage::impl::draw, this, std::placeholders::_1, std::ref(format_desc), std::ref(frames)));\r
  85                         }\r
  86                         catch(...)\r
  87                         {\r
  88                                 layers_.clear();\r
  89                                 CASPAR_LOG_CURRENT_EXCEPTION();\r
  90                         }       \r
  91                         \r
  92                         graph_->set_value("produce-time", frame_timer.elapsed()*format_desc.fps*0.5);\r
  93                         event_subject_ << monitor::event("profiler/time") % frame_timer.elapsed() % (1.0/format_desc.fps);\r
  94 \r
  95                         return frames;\r
  96                 });\r
  97         }\r
  98 \r
  99         void draw(int index, const video_format_desc& format_desc, std::map<int, draw_frame>& frames)\r
 100         {\r
 101                 auto& layer             = layers_[index];\r
 102                 auto& tween             = tweens_[index];\r
 103                 auto transform  = tween.fetch_and_tick(1);\r
 104                                 \r
 105                 auto frame  = layer.receive(format_desc);                                       \r
 106                 auto frame1 = core::draw_frame(frame);\r
 107                 frame1.transform() = transform;\r
 108 \r
 109                 if(format_desc.field_mode != core::field_mode::progressive)\r
 110                 {                               \r
 111                         auto frame2 = core::draw_frame(frame);\r
 112                         frame2.transform() = tween.fetch_and_tick(1);\r
 113                         frame1 = core::draw_frame::interlace(frame1, frame2, format_desc.field_mode);\r
 114                 }\r
 115 \r
 116                 frames[index] = frame1;\r
 117         }\r
 118 \r
 119         layer& get_layer(int index)\r
 120         {\r
 121                 auto it = layers_.find(index);\r
 122                 if(it == std::end(layers_))\r
 123                 {\r
 124                         it = layers_.insert(std::make_pair(index, layer(index))).first;\r
 125                         it->second.subscribe(event_subject_);\r
 126                 }\r
 127                 return it->second;\r
 128         }\r
 129                 \r
 130         void apply_transforms(const std::vector<std::tuple<int, stage::transform_func_t, unsigned int, tweener>>& transforms)\r
 131         {\r
 132                 executor_.begin_invoke([=]\r
 133                 {\r
 134                         BOOST_FOREACH(auto& transform, transforms)\r
 135                         {\r
 136                                 auto src = tweens_[std::get<0>(transform)].fetch();\r
 137                                 auto dst = std::get<1>(transform)(src);\r
 138                                 tweens_[std::get<0>(transform)] = tweened_transform(src, dst, std::get<2>(transform), std::get<3>(transform));\r
 139                         }\r
 140                 }, task_priority::high_priority);\r
 141         }\r
 142                                                 \r
 143         void apply_transform(int index, const stage::transform_func_t& transform, unsigned int mix_duration, const tweener& tween)\r
 144         {\r
 145                 executor_.begin_invoke([=]\r
 146                 {\r
 147                         auto src = tweens_[index].fetch();\r
 148                         auto dst = transform(src);\r
 149                         tweens_[index] = tweened_transform(src, dst, mix_duration, tween);\r
 150                 }, task_priority::high_priority);\r
 151         }\r
 152 \r
 153         void clear_transforms(int index)\r
 154         {\r
 155                 executor_.begin_invoke([=]\r
 156                 {\r
 157                         tweens_.erase(index);\r
 158                 }, task_priority::high_priority);\r
 159         }\r
 160 \r
 161         void clear_transforms()\r
 162         {\r
 163                 executor_.begin_invoke([=]\r
 164                 {\r
 165                         tweens_.clear();\r
 166                 }, task_priority::high_priority);\r
 167         }\r
 168                 \r
 169         void load(int index, const spl::shared_ptr<frame_producer>& producer, bool preview, const boost::optional<int32_t>& auto_play_delta)\r
 170         {\r
 171                 executor_.begin_invoke([=]\r
 172                 {\r
 173                         get_layer(index).load(producer, preview, auto_play_delta);                      \r
 174                 }, task_priority::high_priority);\r
 175         }\r
 176 \r
 177         void pause(int index)\r
 178         {               \r
 179                 executor_.begin_invoke([=]\r
 180                 {\r
 181                         layers_[index].pause();\r
 182                 }, task_priority::high_priority);\r
 183         }\r
 184 \r
 185         void play(int index)\r
 186         {               \r
 187                 executor_.begin_invoke([=]\r
 188                 {\r
 189                         layers_[index].play();\r
 190                 }, task_priority::high_priority);\r
 191         }\r
 192 \r
 193         void stop(int index)\r
 194         {               \r
 195                 executor_.begin_invoke([=]\r
 196                 {\r
 197                         layers_[index].stop();\r
 198                 }, task_priority::high_priority);\r
 199         }\r
 200 \r
 201         void clear(int index)\r
 202         {\r
 203                 executor_.begin_invoke([=]\r
 204                 {\r
 205                         layers_.erase(index);\r
 206                 }, task_priority::high_priority);\r
 207         }\r
 208                 \r
 209         void clear()\r
 210         {\r
 211                 executor_.begin_invoke([=]\r
 212                 {\r
 213                         layers_.clear();\r
 214                 }, task_priority::high_priority);\r
 215         }       \r
 216                 \r
 217         void swap_layers(stage& other)\r
 218         {\r
 219                 auto other_impl = other.impl_;\r
 220 \r
 221                 if(other_impl.get() == this)\r
 222                         return;\r
 223                 \r
 224                 auto func = [=]\r
 225                 {\r
 226                         auto layers                     = layers_ | boost::adaptors::map_values;\r
 227                         auto other_layers       = other_impl->layers_ | boost::adaptors::map_values;\r
 228 \r
 229                         BOOST_FOREACH(auto& layer, layers)\r
 230                                 layer.unsubscribe(event_subject_);\r
 231                         \r
 232                         BOOST_FOREACH(auto& layer, other_layers)\r
 233                                 layer.unsubscribe(event_subject_);\r
 234                         \r
 235                         std::swap(layers_, other_impl->layers_);\r
 236                                                 \r
 237                         BOOST_FOREACH(auto& layer, layers)\r
 238                                 layer.subscribe(event_subject_);\r
 239                         \r
 240                         BOOST_FOREACH(auto& layer, other_layers)\r
 241                                 layer.subscribe(event_subject_);\r
 242                 };              \r
 243                 executor_.begin_invoke([=]\r
 244                 {\r
 245                         other_impl->executor_.invoke(func, task_priority::high_priority);\r
 246                 }, task_priority::high_priority);\r
 247         }\r
 248 \r
 249         void swap_layer(int index, int other_index)\r
 250         {\r
 251                 executor_.begin_invoke([=]\r
 252                 {\r
 253                         std::swap(layers_[index], layers_[other_index]);\r
 254                 }, task_priority::high_priority);\r
 255         }\r
 256 \r
 257         void swap_layer(int index, int other_index, stage& other)\r
 258         {\r
 259                 auto other_impl = other.impl_;\r
 260 \r
 261                 if(other_impl.get() == this)\r
 262                         swap_layer(index, other_index);\r
 263                 else\r
 264                 {\r
 265                         auto func = [=]\r
 266                         {\r
 267                                 auto& my_layer          = get_layer(index);\r
 268                                 auto& other_layer       = other_impl->get_layer(other_index);\r
 269 \r
 270                                 my_layer.unsubscribe(event_subject_);\r
 271                                 other_layer.unsubscribe(other_impl->event_subject_);\r
 272 \r
 273                                 std::swap(my_layer, other_layer);\r
 274 \r
 275                                 my_layer.subscribe(event_subject_);\r
 276                                 other_layer.subscribe(other_impl->event_subject_);\r
 277                         };              \r
 278                         executor_.begin_invoke([=]\r
 279                         {\r
 280                                 other_impl->executor_.invoke(func, task_priority::high_priority);\r
 281                         }, task_priority::high_priority);\r
 282                 }\r
 283         }\r
 284                 \r
 285         boost::unique_future<spl::shared_ptr<frame_producer>> foreground(int index)\r
 286         {\r
 287                 return executor_.begin_invoke([=]\r
 288                 {\r
 289                         return layers_[index].foreground();\r
 290                 }, task_priority::high_priority);\r
 291         }\r
 292         \r
 293         boost::unique_future<spl::shared_ptr<frame_producer>> background(int index)\r
 294         {\r
 295                 return executor_.begin_invoke([=]\r
 296                 {\r
 297                         return layers_[index].background();\r
 298                 }, task_priority::high_priority);\r
 299         }\r
 300 \r
 301         boost::unique_future<boost::property_tree::wptree> info()\r
 302         {\r
 303                 return executor_.begin_invoke([this]() -> boost::property_tree::wptree\r
 304                 {\r
 305                         boost::property_tree::wptree info;\r
 306                         BOOST_FOREACH(auto& layer, layers_)                     \r
 307                                 info.add_child(L"layers.layer", layer.second.info())\r
 308                                         .add(L"index", layer.first);    \r
 309                         return info;\r
 310                 }, task_priority::high_priority);\r
 311         }\r
 312 \r
 313         boost::unique_future<boost::property_tree::wptree> info(int index)\r
 314         {\r
 315                 return executor_.begin_invoke([=]\r
 316                 {\r
 317                         return layers_[index].info();\r
 318                 }, task_priority::high_priority);\r
 319         }               \r
 320 };\r
 321 \r
 322 stage::stage(spl::shared_ptr<diagnostics::graph> graph) : impl_(new impl(std::move(graph))){}\r
 323 void stage::apply_transforms(const std::vector<stage::transform_tuple_t>& transforms){impl_->apply_transforms(transforms);}\r
 324 void stage::apply_transform(int index, const std::function<core::frame_transform(core::frame_transform)>& transform, unsigned int mix_duration, const tweener& tween){impl_->apply_transform(index, transform, mix_duration, tween);}\r
 325 void stage::clear_transforms(int index){impl_->clear_transforms(index);}\r
 326 void stage::clear_transforms(){impl_->clear_transforms();}\r
 327 void stage::load(int index, const spl::shared_ptr<frame_producer>& producer, bool preview, const boost::optional<int32_t>& auto_play_delta){impl_->load(index, producer, preview, auto_play_delta);}\r
 328 void stage::pause(int index){impl_->pause(index);}\r
 329 void stage::play(int index){impl_->play(index);}\r
 330 void stage::stop(int index){impl_->stop(index);}\r
 331 void stage::clear(int index){impl_->clear(index);}\r
 332 void stage::clear(){impl_->clear();}\r
 333 void stage::swap_layers(stage& other){impl_->swap_layers(other);}\r
 334 void stage::swap_layer(int index, int other_index){impl_->swap_layer(index, other_index);}\r
 335 void stage::swap_layer(int index, int other_index, stage& other){impl_->swap_layer(index, other_index, other);}\r
 336 boost::unique_future<spl::shared_ptr<frame_producer>> stage::foreground(int index) {return impl_->foreground(index);}\r
 337 boost::unique_future<spl::shared_ptr<frame_producer>> stage::background(int index) {return impl_->background(index);}\r
 338 boost::unique_future<boost::property_tree::wptree> stage::info() const{return impl_->info();}\r
 339 boost::unique_future<boost::property_tree::wptree> stage::info(int index) const{return impl_->info(index);}\r
 340 std::map<int, class draw_frame> stage::operator()(const video_format_desc& format_desc){return (*impl_)(format_desc);}\r
 341 void stage::subscribe(const monitor::observable::observer_ptr& o) {impl_->event_subject_.subscribe(o);}\r
 342 void stage::unsubscribe(const monitor::observable::observer_ptr& o) {impl_->event_subject_.unsubscribe(o);}\r
 343 }}