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                 frame_producer::flags flags = frame_producer::flags::none;\r
 106                 if(format_desc.field_mode != field_mode::progressive)\r
 107                 {\r
 108                         flags |= std::abs(transform.image_transform.fill_scale[1]  - 1.0) > 0.0001 ? frame_producer::flags::deinterlace : frame_producer::flags::none;\r
 109                         flags |= std::abs(transform.image_transform.fill_translation[1])  > 0.0001 ? frame_producer::flags::deinterlace : frame_producer::flags::none;\r
 110                 }\r
 111 \r
 112                 if(transform.image_transform.is_key)\r
 113                         flags |= frame_producer::flags::alpha_only;\r
 114                 \r
 115                 auto frame = layer.receive(flags, format_desc); \r
 116                                 \r
 117                 auto frame1 = core::draw_frame(frame);\r
 118                 frame1.transform() = transform;\r
 119 \r
 120                 if(format_desc.field_mode != core::field_mode::progressive)\r
 121                 {                               \r
 122                         auto frame2 = core::draw_frame(frame);\r
 123                         frame2.transform() = tween.fetch_and_tick(1);\r
 124                         frame1 = core::draw_frame::interlace(frame1, frame2, format_desc.field_mode);\r
 125                 }\r
 126 \r
 127                 frames[index] = frame1;\r
 128         }\r
 129 \r
 130         layer& get_layer(int index)\r
 131         {\r
 132                 auto it = layers_.find(index);\r
 133                 if(it == std::end(layers_))\r
 134                 {\r
 135                         it = layers_.insert(std::make_pair(index, layer(index))).first;\r
 136                         it->second.subscribe(event_subject_);\r
 137                 }\r
 138                 return it->second;\r
 139         }\r
 140                 \r
 141         void apply_transforms(const std::vector<std::tuple<int, stage::transform_func_t, unsigned int, tweener>>& transforms)\r
 142         {\r
 143                 executor_.begin_invoke([=]\r
 144                 {\r
 145                         BOOST_FOREACH(auto& transform, transforms)\r
 146                         {\r
 147                                 auto src = tweens_[std::get<0>(transform)].fetch();\r
 148                                 auto dst = std::get<1>(transform)(src);\r
 149                                 tweens_[std::get<0>(transform)] = tweened_transform(src, dst, std::get<2>(transform), std::get<3>(transform));\r
 150                         }\r
 151                 }, task_priority::high_priority);\r
 152         }\r
 153                                                 \r
 154         void apply_transform(int index, const stage::transform_func_t& transform, unsigned int mix_duration, const tweener& tween)\r
 155         {\r
 156                 executor_.begin_invoke([=]\r
 157                 {\r
 158                         auto src = tweens_[index].fetch();\r
 159                         auto dst = transform(src);\r
 160                         tweens_[index] = tweened_transform(src, dst, mix_duration, tween);\r
 161                 }, task_priority::high_priority);\r
 162         }\r
 163 \r
 164         void clear_transforms(int index)\r
 165         {\r
 166                 executor_.begin_invoke([=]\r
 167                 {\r
 168                         tweens_.erase(index);\r
 169                 }, task_priority::high_priority);\r
 170         }\r
 171 \r
 172         void clear_transforms()\r
 173         {\r
 174                 executor_.begin_invoke([=]\r
 175                 {\r
 176                         tweens_.clear();\r
 177                 }, task_priority::high_priority);\r
 178         }\r
 179                 \r
 180         void load(int index, const spl::shared_ptr<frame_producer>& producer, const boost::optional<int32_t>& auto_play_delta)\r
 181         {\r
 182                 executor_.begin_invoke([=]\r
 183                 {\r
 184                         get_layer(index).load(producer, auto_play_delta);                       \r
 185                 }, task_priority::high_priority);\r
 186         }\r
 187 \r
 188         void pause(int index)\r
 189         {               \r
 190                 executor_.begin_invoke([=]\r
 191                 {\r
 192                         layers_[index].pause();\r
 193                 }, task_priority::high_priority);\r
 194         }\r
 195 \r
 196         void play(int index)\r
 197         {               \r
 198                 executor_.begin_invoke([=]\r
 199                 {\r
 200                         layers_[index].play();\r
 201                 }, task_priority::high_priority);\r
 202         }\r
 203 \r
 204         void stop(int index)\r
 205         {               \r
 206                 executor_.begin_invoke([=]\r
 207                 {\r
 208                         layers_[index].stop();\r
 209                 }, task_priority::high_priority);\r
 210         }\r
 211 \r
 212         void clear(int index)\r
 213         {\r
 214                 executor_.begin_invoke([=]\r
 215                 {\r
 216                         layers_.erase(index);\r
 217                 }, task_priority::high_priority);\r
 218         }\r
 219                 \r
 220         void clear()\r
 221         {\r
 222                 executor_.begin_invoke([=]\r
 223                 {\r
 224                         layers_.clear();\r
 225                 }, task_priority::high_priority);\r
 226         }       \r
 227                 \r
 228         void swap_layers(stage& other)\r
 229         {\r
 230                 auto other_impl = other.impl_;\r
 231 \r
 232                 if(other_impl.get() == this)\r
 233                         return;\r
 234                 \r
 235                 auto func = [=]\r
 236                 {\r
 237                         auto layers                     = layers_ | boost::adaptors::map_values;\r
 238                         auto other_layers       = other_impl->layers_ | boost::adaptors::map_values;\r
 239 \r
 240                         BOOST_FOREACH(auto& layer, layers)\r
 241                                 layer.unsubscribe(event_subject_);\r
 242                         \r
 243                         BOOST_FOREACH(auto& layer, other_layers)\r
 244                                 layer.unsubscribe(event_subject_);\r
 245                         \r
 246                         std::swap(layers_, other_impl->layers_);\r
 247                                                 \r
 248                         BOOST_FOREACH(auto& layer, layers)\r
 249                                 layer.subscribe(event_subject_);\r
 250                         \r
 251                         BOOST_FOREACH(auto& layer, other_layers)\r
 252                                 layer.subscribe(event_subject_);\r
 253                 };              \r
 254                 executor_.begin_invoke([=]\r
 255                 {\r
 256                         other_impl->executor_.invoke(func, task_priority::high_priority);\r
 257                 }, task_priority::high_priority);\r
 258         }\r
 259 \r
 260         void swap_layer(int index, int other_index)\r
 261         {\r
 262                 executor_.begin_invoke([=]\r
 263                 {\r
 264                         std::swap(layers_[index], layers_[other_index]);\r
 265                 }, task_priority::high_priority);\r
 266         }\r
 267 \r
 268         void swap_layer(int index, int other_index, stage& other)\r
 269         {\r
 270                 auto other_impl = other.impl_;\r
 271 \r
 272                 if(other_impl.get() == this)\r
 273                         swap_layer(index, other_index);\r
 274                 else\r
 275                 {\r
 276                         auto func = [=]\r
 277                         {\r
 278                                 auto& my_layer          = get_layer(index);\r
 279                                 auto& other_layer       = other_impl->get_layer(other_index);\r
 280 \r
 281                                 my_layer.unsubscribe(event_subject_);\r
 282                                 other_layer.unsubscribe(other_impl->event_subject_);\r
 283 \r
 284                                 std::swap(my_layer, other_layer);\r
 285 \r
 286                                 my_layer.subscribe(event_subject_);\r
 287                                 other_layer.subscribe(other_impl->event_subject_);\r
 288                         };              \r
 289                         executor_.begin_invoke([=]\r
 290                         {\r
 291                                 other_impl->executor_.invoke(func, task_priority::high_priority);\r
 292                         }, task_priority::high_priority);\r
 293                 }\r
 294         }\r
 295                 \r
 296         boost::unique_future<spl::shared_ptr<frame_producer>> foreground(int index)\r
 297         {\r
 298                 return executor_.begin_invoke([=]\r
 299                 {\r
 300                         return layers_[index].foreground();\r
 301                 }, task_priority::high_priority);\r
 302         }\r
 303         \r
 304         boost::unique_future<spl::shared_ptr<frame_producer>> background(int index)\r
 305         {\r
 306                 return executor_.begin_invoke([=]\r
 307                 {\r
 308                         return layers_[index].background();\r
 309                 }, task_priority::high_priority);\r
 310         }\r
 311 \r
 312         boost::unique_future<boost::property_tree::wptree> info()\r
 313         {\r
 314                 return executor_.begin_invoke([this]() -> boost::property_tree::wptree\r
 315                 {\r
 316                         boost::property_tree::wptree info;\r
 317                         BOOST_FOREACH(auto& layer, layers_)                     \r
 318                                 info.add_child(L"layers.layer", layer.second.info())\r
 319                                         .add(L"index", layer.first);    \r
 320                         return info;\r
 321                 }, task_priority::high_priority);\r
 322         }\r
 323 \r
 324         boost::unique_future<boost::property_tree::wptree> info(int index)\r
 325         {\r
 326                 return executor_.begin_invoke([=]\r
 327                 {\r
 328                         return layers_[index].info();\r
 329                 }, task_priority::high_priority);\r
 330         }               \r
 331 };\r
 332 \r
 333 stage::stage(spl::shared_ptr<diagnostics::graph> graph) : impl_(new impl(std::move(graph))){}\r
 334 void stage::apply_transforms(const std::vector<stage::transform_tuple_t>& transforms){impl_->apply_transforms(transforms);}\r
 335 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
 336 void stage::clear_transforms(int index){impl_->clear_transforms(index);}\r
 337 void stage::clear_transforms(){impl_->clear_transforms();}\r
 338 void stage::load(int index, const spl::shared_ptr<frame_producer>& producer, const boost::optional<int32_t>& auto_play_delta){impl_->load(index, producer, auto_play_delta);}\r
 339 void stage::pause(int index){impl_->pause(index);}\r
 340 void stage::play(int index){impl_->play(index);}\r
 341 void stage::stop(int index){impl_->stop(index);}\r
 342 void stage::clear(int index){impl_->clear(index);}\r
 343 void stage::clear(){impl_->clear();}\r
 344 void stage::swap_layers(stage& other){impl_->swap_layers(other);}\r
 345 void stage::swap_layer(int index, int other_index){impl_->swap_layer(index, other_index);}\r
 346 void stage::swap_layer(int index, int other_index, stage& other){impl_->swap_layer(index, other_index, other);}\r
 347 boost::unique_future<spl::shared_ptr<frame_producer>> stage::foreground(int index) {return impl_->foreground(index);}\r
 348 boost::unique_future<spl::shared_ptr<frame_producer>> stage::background(int index) {return impl_->background(index);}\r
 349 boost::unique_future<boost::property_tree::wptree> stage::info() const{return impl_->info();}\r
 350 boost::unique_future<boost::property_tree::wptree> stage::info(int index) const{return impl_->info(index);}\r
 351 std::map<int, class draw_frame> stage::operator()(const video_format_desc& format_desc){return (*impl_)(format_desc);}\r
 352 void stage::subscribe(const monitor::observable::observer_ptr& o) {impl_->event_subject_.subscribe(o);}\r
 353 void stage::unsubscribe(const monitor::observable::observer_ptr& o) {impl_->event_subject_.unsubscribe(o);}\r
 354 }}