]> git.sesse.net Git - casparcg/blobdiff - core/producer/stage.cpp
[stage] #575 Don't submit double amount of audio samples for interlaced modes
[casparcg] / core / producer / stage.cpp
index 1cece00df7b7d87038a3b37b488ce1fce7f7d8e0..a0b16806d5aa03c348c696d7f191ba7b76aa0187 100644 (file)
-/*\r
-* Copyright (c) 2011 Sveriges Television AB <info@casparcg.com>\r
-*\r
-* This file is part of CasparCG (www.casparcg.com).\r
-*\r
-* CasparCG is free software: you can redistribute it and/or modify\r
-* it under the terms of the GNU General Public License as published by\r
-* the Free Software Foundation, either version 3 of the License, or\r
-* (at your option) any later version.\r
-*\r
-* CasparCG is distributed in the hope that it will be useful,\r
-* but WITHOUT ANY WARRANTY; without even the implied warranty of\r
-* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\r
-* GNU General Public License for more details.\r
-*\r
-* You should have received a copy of the GNU General Public License\r
-* along with CasparCG. If not, see <http://www.gnu.org/licenses/>.\r
-*\r
-* Author: Robert Nagy, ronag89@gmail.com\r
-*/\r
-\r
-#include "../StdAfx.h"\r
-\r
-#include "stage.h"\r
-\r
-#include "layer.h"\r
-\r
-#include "../frame/draw_frame.h"\r
-#include "../frame/frame_factory.h"\r
-\r
-#include <common/concurrency/executor.h>\r
-#include <common/diagnostics/graph.h>\r
-\r
-#include <core/frame/frame_transform.h>\r
-\r
-#include <boost/foreach.hpp>\r
-#include <boost/timer.hpp>\r
-#include <boost/property_tree/ptree.hpp>\r
-#include <boost/range/algorithm_ext.hpp>\r
-\r
-#include <tbb/parallel_for_each.h>\r
-\r
-#include <functional>\r
-#include <map>\r
-#include <vector>\r
-\r
-namespace caspar { namespace core {\r
-       \r
-struct stage::impl : public std::enable_shared_from_this<impl>\r
-{                              \r
-       spl::shared_ptr<diagnostics::graph> graph_;\r
-       monitor::subject                                        event_subject_;\r
-       std::map<int, layer>                            layers_;        \r
-       std::map<int, tweened_transform>        tweens_;        \r
-       executor                                                        executor_;\r
-public:\r
-       impl(spl::shared_ptr<diagnostics::graph> graph) \r
-               : graph_(std::move(graph))\r
-               , executor_(L"stage")\r
-       {\r
-               graph_->set_color("produce-time", diagnostics::color(0.0f, 1.0f, 0.0f));\r
-       }\r
-               \r
-       std::map<int, spl::shared_ptr<draw_frame>> operator()(const struct video_format_desc& format_desc)\r
-       {               \r
-               return executor_.invoke([=]() -> std::map<int, spl::shared_ptr<draw_frame>>\r
-               {\r
-                       boost::timer frame_timer;\r
-\r
-                       std::map<int, spl::shared_ptr<class draw_frame>> frames;\r
-                       \r
-                       try\r
-                       {                       \r
-                               std::vector<int> indices;\r
-\r
-                               BOOST_FOREACH(auto& layer, layers_)     \r
-                               {\r
-                                       frames[layer.first] = draw_frame::empty();      \r
-                                       indices.push_back(layer.first);\r
-                               }                               \r
-\r
-                               // WORKAROUND: Compiler doesn't seem to like lambda.\r
-                               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
-                       }\r
-                       catch(...)\r
-                       {\r
-                               layers_.clear();\r
-                               CASPAR_LOG_CURRENT_EXCEPTION();\r
-                       }       \r
-                       \r
-                       graph_->set_value("produce-time", frame_timer.elapsed()*format_desc.fps*0.5);\r
-                       event_subject_ << monitor::event("profiler/time") % frame_timer.elapsed() % (1.0/format_desc.fps);\r
-\r
-                       return frames;\r
-               });\r
-       }\r
-\r
-       void draw(int index, const video_format_desc& format_desc, std::map<int, spl::shared_ptr<draw_frame>>& frames)\r
-       {\r
-               auto& layer             = layers_[index];\r
-               auto& tween             = tweens_[index];\r
-               auto transform  = tween.fetch_and_tick(1);\r
-\r
-               frame_producer::flags flags = frame_producer::flags::none;\r
-               if(format_desc.field_mode != field_mode::progressive)\r
-               {\r
-                       flags |= std::abs(transform.fill_scale[1]  - 1.0) > 0.0001 ? frame_producer::flags::deinterlace : frame_producer::flags::none;\r
-                       flags |= std::abs(transform.fill_translation[1])  > 0.0001 ? frame_producer::flags::deinterlace : frame_producer::flags::none;\r
-               }\r
-\r
-               if(transform.is_key)\r
-                       flags |= frame_producer::flags::alpha_only;\r
-               \r
-               auto frame = layer.receive(flags, format_desc); \r
-                               \r
-               auto frame1 = spl::make_shared<core::draw_frame>(frame);\r
-               frame1->get_frame_transform() = transform;\r
-\r
-               if(format_desc.field_mode != core::field_mode::progressive)\r
-               {                               \r
-                       auto frame2 = spl::make_shared<core::draw_frame>(frame);\r
-                       frame2->get_frame_transform() = tween.fetch_and_tick(1);\r
-                       frame1 = core::draw_frame::interlace(frame1, frame2, format_desc.field_mode);\r
-               }\r
-\r
-               frames[index] = frame1;\r
-       }\r
-\r
-       layer& get_layer(int index)\r
-       {\r
-               auto it = layers_.find(index);\r
-               if(it == std::end(layers_))\r
-               {\r
-                       it = layers_.insert(std::make_pair(index, layer(index))).first;\r
-                       it->second.subscribe(event_subject_);\r
-               }\r
-               return it->second;\r
-       }\r
-               \r
-       void apply_transforms(const std::vector<std::tuple<int, stage::transform_func_t, unsigned int, tweener>>& transforms)\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       BOOST_FOREACH(auto& transform, transforms)\r
-                       {\r
-                               auto src = tweens_[std::get<0>(transform)].fetch();\r
-                               auto dst = std::get<1>(transform)(src);\r
-                               tweens_[std::get<0>(transform)] = tweened_transform(src, dst, std::get<2>(transform), std::get<3>(transform));\r
-                       }\r
-               }, task_priority::high_priority);\r
-       }\r
-                                               \r
-       void apply_transform(int index, const stage::transform_func_t& transform, unsigned int mix_duration, const tweener& tween)\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       auto src = tweens_[index].fetch();\r
-                       auto dst = transform(src);\r
-                       tweens_[index] = tweened_transform(src, dst, mix_duration, tween);\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void clear_transforms(int index)\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       tweens_.erase(index);\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void clear_transforms()\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       tweens_.clear();\r
-               }, task_priority::high_priority);\r
-       }\r
-               \r
-       void load(int index, const spl::shared_ptr<frame_producer>& producer, const boost::optional<int32_t>& auto_play_delta)\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       get_layer(index).load(producer, auto_play_delta);\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void pause(int index)\r
-       {               \r
-               executor_.begin_invoke([=]\r
-               {\r
-                       layers_[index].pause();\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void play(int index)\r
-       {               \r
-               executor_.begin_invoke([=]\r
-               {\r
-                       layers_[index].play();\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void stop(int index)\r
-       {               \r
-               executor_.begin_invoke([=]\r
-               {\r
-                       layers_[index].stop();\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void clear(int index)\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       layers_.erase(index);\r
-               }, task_priority::high_priority);\r
-       }\r
-               \r
-       void clear()\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       layers_.clear();\r
-               }, task_priority::high_priority);\r
-       }       \r
-               \r
-       void swap_layers(stage& other)\r
-       {\r
-               auto other_impl = other.impl_;\r
-\r
-               if(other_impl.get() == this)\r
-                       return;\r
-               \r
-               auto func = [=]\r
-               {\r
-                       auto layers                     = layers_ | boost::adaptors::map_values;\r
-                       auto other_layers       = other_impl->layers_ | boost::adaptors::map_values;\r
-\r
-                       BOOST_FOREACH(auto& layer, layers)\r
-                               layer.unsubscribe(event_subject_);\r
-                       \r
-                       BOOST_FOREACH(auto& layer, other_layers)\r
-                               layer.unsubscribe(event_subject_);\r
-                       \r
-                       std::swap(layers_, other_impl->layers_);\r
-                                               \r
-                       BOOST_FOREACH(auto& layer, layers)\r
-                               layer.subscribe(event_subject_);\r
-                       \r
-                       BOOST_FOREACH(auto& layer, other_layers)\r
-                               layer.subscribe(event_subject_);\r
-               };              \r
-               executor_.begin_invoke([=]\r
-               {\r
-                       other_impl->executor_.invoke(func, task_priority::high_priority);\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void swap_layer(int index, int other_index)\r
-       {\r
-               executor_.begin_invoke([=]\r
-               {\r
-                       std::swap(layers_[index], layers_[other_index]);\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       void swap_layer(int index, int other_index, stage& other)\r
-       {\r
-               auto other_impl = other.impl_;\r
-\r
-               if(other_impl.get() == this)\r
-                       swap_layer(index, other_index);\r
-               else\r
-               {\r
-                       auto func = [=]\r
-                       {\r
-                               auto& my_layer          = get_layer(index);\r
-                               auto& other_layer       = other_impl->get_layer(other_index);\r
-\r
-                               my_layer.unsubscribe(event_subject_);\r
-                               other_layer.unsubscribe(other_impl->event_subject_);\r
-\r
-                               std::swap(my_layer, other_layer);\r
-\r
-                               my_layer.subscribe(event_subject_);\r
-                               other_layer.subscribe(other_impl->event_subject_);\r
-                       };              \r
-                       executor_.begin_invoke([=]\r
-                       {\r
-                               other_impl->executor_.invoke(func, task_priority::high_priority);\r
-                       }, task_priority::high_priority);\r
-               }\r
-       }\r
-               \r
-       boost::unique_future<spl::shared_ptr<frame_producer>> foreground(int index)\r
-       {\r
-               return executor_.begin_invoke([=]\r
-               {\r
-                       return layers_[index].foreground();\r
-               }, task_priority::high_priority);\r
-       }\r
-       \r
-       boost::unique_future<spl::shared_ptr<frame_producer>> background(int index)\r
-       {\r
-               return executor_.begin_invoke([=]\r
-               {\r
-                       return layers_[index].background();\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       boost::unique_future<boost::property_tree::wptree> info()\r
-       {\r
-               return executor_.begin_invoke([this]() -> boost::property_tree::wptree\r
-               {\r
-                       boost::property_tree::wptree info;\r
-                       BOOST_FOREACH(auto& layer, layers_)                     \r
-                               info.add_child(L"layers.layer", layer.second.info())\r
-                                       .add(L"index", layer.first);    \r
-                       return info;\r
-               }, task_priority::high_priority);\r
-       }\r
-\r
-       boost::unique_future<boost::property_tree::wptree> info(int index)\r
-       {\r
-               return executor_.begin_invoke([=]\r
-               {\r
-                       return layers_[index].info();\r
-               }, task_priority::high_priority);\r
-       }               \r
-};\r
-\r
-stage::stage(spl::shared_ptr<diagnostics::graph> graph) : impl_(new impl(std::move(graph))){}\r
-void stage::apply_transforms(const std::vector<stage::transform_tuple_t>& transforms){impl_->apply_transforms(transforms);}\r
-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
-void stage::clear_transforms(int index){impl_->clear_transforms(index);}\r
-void stage::clear_transforms(){impl_->clear_transforms();}\r
-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
-void stage::pause(int index){impl_->pause(index);}\r
-void stage::play(int index){impl_->play(index);}\r
-void stage::stop(int index){impl_->stop(index);}\r
-void stage::clear(int index){impl_->clear(index);}\r
-void stage::clear(){impl_->clear();}\r
-void stage::swap_layers(stage& other){impl_->swap_layers(other);}\r
-void stage::swap_layer(int index, int other_index){impl_->swap_layer(index, other_index);}\r
-void stage::swap_layer(int index, int other_index, stage& other){impl_->swap_layer(index, other_index, other);}\r
-boost::unique_future<spl::shared_ptr<frame_producer>> stage::foreground(int index) {return impl_->foreground(index);}\r
-boost::unique_future<spl::shared_ptr<frame_producer>> stage::background(int index) {return impl_->background(index);}\r
-boost::unique_future<boost::property_tree::wptree> stage::info() const{return impl_->info();}\r
-boost::unique_future<boost::property_tree::wptree> stage::info(int index) const{return impl_->info(index);}\r
-std::map<int, spl::shared_ptr<class draw_frame>> stage::operator()(const video_format_desc& format_desc){return (*impl_)(format_desc);}\r
-void stage::subscribe(const monitor::observable::observer_ptr& o) {impl_->event_subject_.subscribe(o);}\r
-void stage::unsubscribe(const monitor::observable::observer_ptr& o) {impl_->event_subject_.unsubscribe(o);}\r
-}}
\ No newline at end of file
+/*
+* Copyright (c) 2011 Sveriges Television AB <info@casparcg.com>
+*
+* This file is part of CasparCG (www.casparcg.com).
+*
+* CasparCG is free software: you can redistribute it and/or modify
+* it under the terms of the GNU General Public License as published by
+* the Free Software Foundation, either version 3 of the License, or
+* (at your option) any later version.
+*
+* CasparCG 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 General Public License for more details.
+*
+* You should have received a copy of the GNU General Public License
+* along with CasparCG. If not, see <http://www.gnu.org/licenses/>.
+*
+* Author: Robert Nagy, ronag89@gmail.com
+*/
+
+#include "../StdAfx.h"
+
+#include "stage.h"
+
+#include "layer.h"
+
+#include "../frame/draw_frame.h"
+#include "../frame/frame_factory.h"
+#include "../interaction/interaction_aggregator.h"
+#include "../consumer/write_frame_consumer.h"
+
+#include <common/executor.h>
+#include <common/future.h>
+#include <common/diagnostics/graph.h>
+#include <common/timer.h>
+
+#include <core/frame/frame_transform.h>
+
+#include <boost/property_tree/ptree.hpp>
+
+#include <tbb/parallel_for_each.h>
+
+#include <functional>
+#include <map>
+#include <vector>
+#include <future>
+
+namespace caspar { namespace core {
+
+struct stage::impl : public std::enable_shared_from_this<impl>
+{
+       int                                                                                                                                             channel_index_;
+       spl::shared_ptr<diagnostics::graph>                                                                             graph_;
+       spl::shared_ptr<monitor::subject>                                                                               monitor_subject_        = spl::make_shared<monitor::subject>("/stage");
+       std::map<int, layer>                                                                                                    layers_;
+       std::map<int, tweened_transform>                                                                                tweens_;
+       interaction_aggregator                                                                                                  aggregator_;
+       // map of layer -> map of tokens (src ref) -> layer_consumer
+       std::map<int, std::map<void*, spl::shared_ptr<write_frame_consumer>>>   layer_consumers_;
+       executor                                                                                                                                executor_                       { L"stage " + boost::lexical_cast<std::wstring>(channel_index_) };
+public:
+       impl(int channel_index, spl::shared_ptr<diagnostics::graph> graph)
+               : channel_index_(channel_index)
+               , graph_(std::move(graph))
+               , aggregator_([=] (double x, double y) { return collission_detect(x, y); })
+       {
+               graph_->set_color("produce-time", diagnostics::color(0.0f, 1.0f, 0.0f));
+       }
+
+       std::map<int, draw_frame> operator()(const video_format_desc& format_desc)
+       {
+               caspar::timer frame_timer;
+
+               auto frames = executor_.invoke([=]() -> std::map<int, draw_frame>
+               {
+
+                       std::map<int, draw_frame> frames;
+
+                       try
+                       {
+                               std::vector<int> indices;
+
+                               for (auto& layer : layers_)
+                               {
+                                       // Prevent race conditions in parallel for each later
+                                       frames[layer.first] = draw_frame::empty();
+                                       tweens_[layer.first];
+                                       layer_consumers_[layer.first];
+
+                                       indices.push_back(layer.first);
+                               }
+
+                               aggregator_.translate_and_send();
+
+                               tbb::parallel_for_each(indices.begin(), indices.end(), [&](int index)
+                               {
+                                       draw(index, format_desc, frames);
+                               });
+                       }
+                       catch(...)
+                       {
+                               layers_.clear();
+                               CASPAR_LOG_CURRENT_EXCEPTION();
+                       }
+
+
+                       return frames;
+               });
+
+               //frames_subject_ << frames;
+
+               graph_->set_value("produce-time", frame_timer.elapsed()*format_desc.fps*0.5);
+               *monitor_subject_ << monitor::message("/profiler/time") % frame_timer.elapsed() % (1.0/format_desc.fps);
+
+               return frames;
+       }
+
+       void draw(int index, const video_format_desc& format_desc, std::map<int, draw_frame>& frames)
+       {
+               auto& layer             = layers_[index];
+               auto& tween             = tweens_[index];
+               auto& consumers = layer_consumers_[index];
+
+               auto frame  = layer.receive(format_desc);
+
+               if (!consumers.empty())
+               {
+                       auto consumer_it = consumers | boost::adaptors::map_values;
+                       tbb::parallel_for_each(consumer_it.begin(), consumer_it.end(), [&](decltype(*consumer_it.begin()) layer_consumer)
+                       {
+                               layer_consumer->send(frame);
+                       });
+               }
+
+               auto frame1 = frame;
+
+               frame1.transform() *= tween.fetch_and_tick(1);
+
+               if(format_desc.field_mode != core::field_mode::progressive)
+               {
+                       auto frame2 = frame;
+                       frame2.transform() *= tween.fetch_and_tick(1);
+                       frame2.transform().audio_transform.volume = 0.0;
+                       frame1 = core::draw_frame::interlace(frame1, frame2, format_desc.field_mode);
+               }
+
+               frames[index] = frame1;
+       }
+
+       layer& get_layer(int index)
+       {
+               auto it = layers_.find(index);
+               if(it == std::end(layers_))
+               {
+                       it = layers_.insert(std::make_pair(index, layer(index))).first;
+                       it->second.monitor_output().attach_parent(monitor_subject_);
+               }
+               return it->second;
+       }
+
+       std::future<void> apply_transforms(const std::vector<std::tuple<int, stage::transform_func_t, unsigned int, tweener>>& transforms)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       for (auto& transform : transforms)
+                       {
+                               auto& tween = tweens_[std::get<0>(transform)];
+                               auto src = tween.fetch();
+                               auto dst = std::get<1>(transform)(tween.dest());
+                               tweens_[std::get<0>(transform)] = tweened_transform(src, dst, std::get<2>(transform), std::get<3>(transform));
+                       }
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> apply_transform(int index, const stage::transform_func_t& transform, unsigned int mix_duration, const tweener& tween)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       auto src = tweens_[index].fetch();
+                       auto dst = transform(src);
+                       tweens_[index] = tweened_transform(src, dst, mix_duration, tween);
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> clear_transforms(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       tweens_.erase(index);
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> clear_transforms()
+       {
+               return executor_.begin_invoke([=]
+               {
+                       tweens_.clear();
+               }, task_priority::high_priority);
+       }
+
+       std::future<frame_transform> get_current_transform(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       return tweens_[index].fetch();
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> load(int index, const spl::shared_ptr<frame_producer>& producer, bool preview, const boost::optional<int32_t>& auto_play_delta)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       get_layer(index).load(producer, preview, auto_play_delta);
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> pause(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       get_layer(index).pause();
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> resume(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       get_layer(index).resume();
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> play(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       get_layer(index).play();
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> stop(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       get_layer(index).stop();
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> clear(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       layers_.erase(index);
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> clear()
+       {
+               return executor_.begin_invoke([=]
+               {
+                       layers_.clear();
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> swap_layers(stage& other, bool swap_transforms)
+       {
+               auto other_impl = other.impl_;
+
+               if (other_impl.get() == this)
+               {
+                       return make_ready_future();
+               }
+
+               auto func = [=]
+               {
+                       auto layers                     = layers_ | boost::adaptors::map_values;
+                       auto other_layers       = other_impl->layers_ | boost::adaptors::map_values;
+
+                       for (auto& layer : layers)
+                               layer.monitor_output().detach_parent();
+
+                       for (auto& layer : other_layers)
+                               layer.monitor_output().detach_parent();
+
+                       std::swap(layers_, other_impl->layers_);
+
+                       for (auto& layer : layers)
+                               layer.monitor_output().attach_parent(monitor_subject_);
+
+                       for (auto& layer : other_layers)
+                               layer.monitor_output().attach_parent(monitor_subject_);
+
+                       if (swap_transforms)
+                               std::swap(tweens_, other_impl->tweens_);
+               };
+
+               return executor_.begin_invoke([=]
+               {
+                       other_impl->executor_.invoke(func, task_priority::high_priority);
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> swap_layer(int index, int other_index, bool swap_transforms)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       std::swap(get_layer(index), get_layer(other_index));
+
+                       if (swap_transforms)
+                               std::swap(tweens_[index], tweens_[other_index]);
+               }, task_priority::high_priority);
+       }
+
+       std::future<void> swap_layer(int index, int other_index, stage& other, bool swap_transforms)
+       {
+               auto other_impl = other.impl_;
+
+               if(other_impl.get() == this)
+                       return swap_layer(index, other_index, swap_transforms);
+               else
+               {
+                       auto func = [=]
+                       {
+                               auto& my_layer          = get_layer(index);
+                               auto& other_layer       = other_impl->get_layer(other_index);
+
+                               my_layer.monitor_output().detach_parent();
+                               other_layer.monitor_output().detach_parent();
+
+                               std::swap(my_layer, other_layer);
+
+                               my_layer.monitor_output().attach_parent(monitor_subject_);
+                               other_layer.monitor_output().attach_parent(other_impl->monitor_subject_);
+
+                               if (swap_transforms)
+                               {
+                                       auto& my_tween          = tweens_[index];
+                                       auto& other_tween       = other_impl->tweens_[other_index];
+                                       std::swap(my_tween, other_tween);
+                               }
+                       };
+
+                       return executor_.begin_invoke([=]
+                       {
+                               other_impl->executor_.invoke(func, task_priority::high_priority);
+                       }, task_priority::high_priority);
+               }
+       }
+
+       void add_layer_consumer(void* token, int layer, const spl::shared_ptr<write_frame_consumer>& layer_consumer)
+       {
+               executor_.begin_invoke([=]
+               {
+                       layer_consumers_[layer].insert(std::make_pair(token, layer_consumer));
+               }, task_priority::high_priority);
+       }
+
+       void remove_layer_consumer(void* token, int layer)
+       {
+               executor_.begin_invoke([=]
+               {
+                       auto& layer_map = layer_consumers_[layer];
+                       layer_map.erase(token);
+                       if (layer_map.empty())
+                       {
+                               layer_consumers_.erase(layer);
+                       }
+               }, task_priority::high_priority);
+       }
+
+       std::future<std::shared_ptr<frame_producer>> foreground(int index)
+       {
+               return executor_.begin_invoke([=]() -> std::shared_ptr<frame_producer>
+               {
+                       return get_layer(index).foreground();
+               }, task_priority::high_priority);
+       }
+
+       std::future<std::shared_ptr<frame_producer>> background(int index)
+       {
+               return executor_.begin_invoke([=]() -> std::shared_ptr<frame_producer>
+               {
+                       return get_layer(index).background();
+               }, task_priority::high_priority);
+       }
+
+       std::future<boost::property_tree::wptree> info()
+       {
+               return executor_.begin_invoke([this]() -> boost::property_tree::wptree
+               {
+                       boost::property_tree::wptree info;
+                       for (auto& layer : layers_)
+                               info.add_child(L"layers.layer", layer.second.info())
+                                       .add(L"index", layer.first);
+                       return info;
+               }, task_priority::high_priority);
+       }
+
+       std::future<boost::property_tree::wptree> info(int index)
+       {
+               return executor_.begin_invoke([=]
+               {
+                       return get_layer(index).info();
+               }, task_priority::high_priority);
+       }
+
+       std::future<boost::property_tree::wptree> delay_info()
+       {
+               return std::move(executor_.begin_invoke([this]() -> boost::property_tree::wptree
+               {
+                       boost::property_tree::wptree info;
+
+                       for (auto& layer : layers_)
+                               info.add_child(L"layer", layer.second.delay_info()).add(L"index", layer.first);
+
+                       return info;
+               }, task_priority::high_priority));
+       }
+
+       std::future<boost::property_tree::wptree> delay_info(int index)
+       {
+               return std::move(executor_.begin_invoke([=]() -> boost::property_tree::wptree
+               {
+                       return get_layer(index).delay_info();
+               }, task_priority::high_priority));
+       }
+
+       std::future<std::wstring> call(int index, const std::vector<std::wstring>& params)
+       {
+               return flatten(executor_.begin_invoke([=]
+               {
+                       return get_layer(index).foreground()->call(params).share();
+               }, task_priority::high_priority));
+       }
+
+       void on_interaction(const interaction_event::ptr& event)
+       {
+               executor_.begin_invoke([=]
+               {
+                       aggregator_.offer(event);
+               }, task_priority::high_priority);
+       }
+
+       boost::optional<interaction_target> collission_detect(double x, double y)
+       {
+               for (auto& layer : layers_ | boost::adaptors::reversed)
+               {
+                       auto transform = tweens_[layer.first].fetch();
+                       auto translated = translate(x, y, transform);
+
+                       if (translated.first >= 0.0
+                               && translated.first <= 1.0
+                               && translated.second >= 0.0
+                               && translated.second <= 1.0
+                               && layer.second.collides(translated.first, translated.second))
+                       {
+                               return std::make_pair(transform, static_cast<interaction_sink*>(&layer.second));
+                       }
+               }
+
+               return boost::optional<interaction_target>();
+       }
+};
+
+stage::stage(int channel_index, spl::shared_ptr<diagnostics::graph> graph) : impl_(new impl(channel_index, std::move(graph))){}
+std::future<std::wstring> stage::call(int index, const std::vector<std::wstring>& params){return impl_->call(index, params);}
+std::future<void> stage::apply_transforms(const std::vector<stage::transform_tuple_t>& transforms){ return impl_->apply_transforms(transforms); }
+std::future<void> stage::apply_transform(int index, const std::function<core::frame_transform(core::frame_transform)>& transform, unsigned int mix_duration, const tweener& tween){ return impl_->apply_transform(index, transform, mix_duration, tween); }
+std::future<void> stage::clear_transforms(int index){ return impl_->clear_transforms(index); }
+std::future<void> stage::clear_transforms(){ return impl_->clear_transforms(); }
+std::future<frame_transform> stage::get_current_transform(int index){ return impl_->get_current_transform(index); }
+std::future<void> stage::load(int index, const spl::shared_ptr<frame_producer>& producer, bool preview, const boost::optional<int32_t>& auto_play_delta){ return impl_->load(index, producer, preview, auto_play_delta); }
+std::future<void> stage::pause(int index){ return impl_->pause(index); }
+std::future<void> stage::resume(int index){ return impl_->resume(index); }
+std::future<void> stage::play(int index){ return impl_->play(index); }
+std::future<void> stage::stop(int index){ return impl_->stop(index); }
+std::future<void> stage::clear(int index){ return impl_->clear(index); }
+std::future<void> stage::clear(){ return impl_->clear(); }
+std::future<void> stage::swap_layers(stage& other, bool swap_transforms){ return impl_->swap_layers(other, swap_transforms); }
+std::future<void> stage::swap_layer(int index, int other_index, bool swap_transforms){ return impl_->swap_layer(index, other_index, swap_transforms); }
+std::future<void> stage::swap_layer(int index, int other_index, stage& other, bool swap_transforms){ return impl_->swap_layer(index, other_index, other, swap_transforms); }
+void stage::add_layer_consumer(void* token, int layer, const spl::shared_ptr<write_frame_consumer>& layer_consumer){ impl_->add_layer_consumer(token, layer, layer_consumer); }
+void stage::remove_layer_consumer(void* token, int layer){ impl_->remove_layer_consumer(token, layer); }std::future<std::shared_ptr<frame_producer>> stage::foreground(int index) { return impl_->foreground(index); }
+std::future<std::shared_ptr<frame_producer>> stage::background(int index) { return impl_->background(index); }
+std::future<boost::property_tree::wptree> stage::info() const{ return impl_->info(); }
+std::future<boost::property_tree::wptree> stage::info(int index) const{ return impl_->info(index); }
+std::future<boost::property_tree::wptree> stage::delay_info() const{ return impl_->delay_info(); }
+std::future<boost::property_tree::wptree> stage::delay_info(int index) const{ return impl_->delay_info(index); }
+std::map<int, draw_frame> stage::operator()(const video_format_desc& format_desc){ return (*impl_)(format_desc); }
+monitor::subject& stage::monitor_output(){return *impl_->monitor_subject_;}
+void stage::on_interaction(const interaction_event::ptr& event) { impl_->on_interaction(event); }
+}}