forked from CMU-Perceptual-Computing-Lab/openpose
-
Notifications
You must be signed in to change notification settings - Fork 0
/
5_asynchronous_loop_custom_output.cpp
257 lines (240 loc) · 13.4 KB
/
5_asynchronous_loop_custom_output.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
// ------------------------- OpenPose C++ API Tutorial - Example 5 - XXXXXXXXXXXXX -------------------------
// Asynchronous output mode: ideal for fast prototyping when performance is not an issue and user wants to use the
// output OpenPose format. The user simply gets the processed frames from the OpenPose wrapper when he desires to.
// This example shows the user how to use the OpenPose wrapper class:
// 1. Read folder of images / video / webcam
// 2. Extract and render keypoint / heatmap / PAF of that image
// 3. Save the results on disk
// 4. User displays the rendered pose
// Everything in a multi-thread scenario
// In addition to the previous OpenPose modules, we also need to use:
// 1. `core` module:
// For the Array<float> class that the `pose` module needs
// For the Datum struct that the `thread` module sends between the queues
// 2. `utilities` module: for the error & logging functions, i.e. op::error & op::log respectively
// This file should only be used for the user to take specific examples.
// Command-line user intraface
#define OPENPOSE_FLAGS_DISABLE_DISPLAY
#include <openpose/flags.hpp>
// OpenPose dependencies
#include <openpose/headers.hpp>
// If the user needs his own variables, he can inherit the op::Datum struct and add them in there.
// UserDatum can be directly used by the OpenPose wrapper because it inherits from op::Datum, just define
// WrapperT<std::vector<UserDatum>> instead of Wrapper (or equivalently WrapperT<std::vector<UserDatum>>)
struct UserDatum : public op::Datum
{
bool boolThatUserNeedsForSomeReason;
UserDatum(const bool boolThatUserNeedsForSomeReason_ = false) :
boolThatUserNeedsForSomeReason{boolThatUserNeedsForSomeReason_}
{}
};
// The W-classes can be implemented either as a template or as simple classes given
// that the user usually knows which kind of data he will move between the queues,
// in this case we assume a std::shared_ptr of a std::vector of UserDatum
// This worker will just read and return all the jpg files in a directory
class UserOutputClass
{
public:
bool display(const std::shared_ptr<std::vector<UserDatum>>& datumsPtr)
{
// User's displaying/saving/other processing here
// datum.cvOutputData: rendered frame with pose or heatmaps
// datum.poseKeypoints: Array<float> with the estimated pose
char key = ' ';
if (datumsPtr != nullptr && !datumsPtr->empty())
{
cv::imshow("User worker GUI", datumsPtr->at(0).cvOutputData);
// Display image and sleeps at least 1 ms (it usually sleeps ~5-10 msec to display the image)
key = (char)cv::waitKey(1);
}
else
op::log("Nullptr or empty datumsPtr found.", op::Priority::High, __LINE__, __FUNCTION__, __FILE__);
return (key == 27);
}
void printKeypoints(const std::shared_ptr<std::vector<UserDatum>>& datumsPtr)
{
// Example: How to use the pose keypoints
if (datumsPtr != nullptr && !datumsPtr->empty())
{
op::log("\nKeypoints:");
// Accesing each element of the keypoints
const auto& poseKeypoints = datumsPtr->at(0).poseKeypoints;
op::log("Person pose keypoints:");
for (auto person = 0 ; person < poseKeypoints.getSize(0) ; person++)
{
op::log("Person " + std::to_string(person) + " (x, y, score):");
for (auto bodyPart = 0 ; bodyPart < poseKeypoints.getSize(1) ; bodyPart++)
{
std::string valueToPrint;
for (auto xyscore = 0 ; xyscore < poseKeypoints.getSize(2) ; xyscore++)
{
valueToPrint += std::to_string( poseKeypoints[{person, bodyPart, xyscore}] ) + " ";
}
op::log(valueToPrint);
}
}
op::log(" ");
// Alternative: just getting std::string equivalent
op::log("Face keypoints: " + datumsPtr->at(0).faceKeypoints.toString());
op::log("Left hand keypoints: " + datumsPtr->at(0).handKeypoints[0].toString());
op::log("Right hand keypoints: " + datumsPtr->at(0).handKeypoints[1].toString());
// Heatmaps
const auto& poseHeatMaps = datumsPtr->at(0).poseHeatMaps;
if (!poseHeatMaps.empty())
{
op::log("Pose heatmaps size: [" + std::to_string(poseHeatMaps.getSize(0)) + ", "
+ std::to_string(poseHeatMaps.getSize(1)) + ", "
+ std::to_string(poseHeatMaps.getSize(2)) + "]");
const auto& faceHeatMaps = datumsPtr->at(0).faceHeatMaps;
op::log("Face heatmaps size: [" + std::to_string(faceHeatMaps.getSize(0)) + ", "
+ std::to_string(faceHeatMaps.getSize(1)) + ", "
+ std::to_string(faceHeatMaps.getSize(2)) + ", "
+ std::to_string(faceHeatMaps.getSize(3)) + "]");
const auto& handHeatMaps = datumsPtr->at(0).handHeatMaps;
op::log("Left hand heatmaps size: [" + std::to_string(handHeatMaps[0].getSize(0)) + ", "
+ std::to_string(handHeatMaps[0].getSize(1)) + ", "
+ std::to_string(handHeatMaps[0].getSize(2)) + ", "
+ std::to_string(handHeatMaps[0].getSize(3)) + "]");
op::log("Right hand heatmaps size: [" + std::to_string(handHeatMaps[1].getSize(0)) + ", "
+ std::to_string(handHeatMaps[1].getSize(1)) + ", "
+ std::to_string(handHeatMaps[1].getSize(2)) + ", "
+ std::to_string(handHeatMaps[1].getSize(3)) + "]");
}
}
else
op::log("Nullptr or empty datumsPtr found.", op::Priority::High, __LINE__, __FUNCTION__, __FILE__);
}
};
int tutorialApiCpp5()
{
try
{
op::log("Starting OpenPose demo...", op::Priority::High);
const auto timerBegin = std::chrono::high_resolution_clock::now();
// logging_level
op::check(0 <= FLAGS_logging_level && FLAGS_logging_level <= 255, "Wrong logging_level value.",
__LINE__, __FUNCTION__, __FILE__);
op::ConfigureLog::setPriorityThreshold((op::Priority)FLAGS_logging_level);
op::Profiler::setDefaultX(FLAGS_profile_speed);
// Applying user defined configuration - GFlags to program variables
// cameraSize
const auto cameraSize = op::flagsToPoint(FLAGS_camera_resolution, "-1x-1");
// outputSize
const auto outputSize = op::flagsToPoint(FLAGS_output_resolution, "-1x-1");
// netInputSize
const auto netInputSize = op::flagsToPoint(FLAGS_net_resolution, "-1x368");
// faceNetInputSize
const auto faceNetInputSize = op::flagsToPoint(FLAGS_face_net_resolution, "368x368 (multiples of 16)");
// handNetInputSize
const auto handNetInputSize = op::flagsToPoint(FLAGS_hand_net_resolution, "368x368 (multiples of 16)");
// producerType
op::ProducerType producerType;
std::string producerString;
std::tie(producerType, producerString) = op::flagsToProducer(
FLAGS_image_dir, FLAGS_video, FLAGS_ip_camera, FLAGS_camera, FLAGS_flir_camera, FLAGS_flir_camera_index);
// poseModel
const auto poseModel = op::flagsToPoseModel(FLAGS_model_pose);
// JSON saving
if (!FLAGS_write_keypoint.empty())
op::log("Flag `write_keypoint` is deprecated and will eventually be removed."
" Please, use `write_json` instead.", op::Priority::Max);
// keypointScale
const auto keypointScale = op::flagsToScaleMode(FLAGS_keypoint_scale);
// heatmaps to add
const auto heatMapTypes = op::flagsToHeatMaps(FLAGS_heatmaps_add_parts, FLAGS_heatmaps_add_bkg,
FLAGS_heatmaps_add_PAFs);
const auto heatMapScale = op::flagsToHeatMapScaleMode(FLAGS_heatmaps_scale);
// >1 camera view?
const auto multipleView = (FLAGS_3d || FLAGS_3d_views > 1 || FLAGS_flir_camera);
// Enabling Google Logging
const bool enableGoogleLogging = true;
// Configuring OpenPose
op::log("Configuring OpenPose...", op::Priority::High);
op::WrapperT<std::vector<UserDatum>> opWrapperT{op::ThreadManagerMode::AsynchronousOut};
// Pose configuration (use WrapperStructPose{} for default and recommended configuration)
const op::WrapperStructPose wrapperStructPose{
!FLAGS_body_disable, netInputSize, outputSize, keypointScale, FLAGS_num_gpu, FLAGS_num_gpu_start,
FLAGS_scale_number, (float)FLAGS_scale_gap, op::flagsToRenderMode(FLAGS_render_pose, multipleView),
poseModel, !FLAGS_disable_blending, (float)FLAGS_alpha_pose, (float)FLAGS_alpha_heatmap,
FLAGS_part_to_show, FLAGS_model_folder, heatMapTypes, heatMapScale, FLAGS_part_candidates,
(float)FLAGS_render_threshold, FLAGS_number_people_max, enableGoogleLogging};
opWrapperT.configure(wrapperStructPose);
// Face configuration (use op::WrapperStructFace{} to disable it)
const op::WrapperStructFace wrapperStructFace{
FLAGS_face, faceNetInputSize, op::flagsToRenderMode(FLAGS_face_render, multipleView, FLAGS_render_pose),
(float)FLAGS_face_alpha_pose, (float)FLAGS_face_alpha_heatmap, (float)FLAGS_face_render_threshold};
opWrapperT.configure(wrapperStructFace);
// Hand configuration (use op::WrapperStructHand{} to disable it)
const op::WrapperStructHand wrapperStructHand{
FLAGS_hand, handNetInputSize, FLAGS_hand_scale_number, (float)FLAGS_hand_scale_range, FLAGS_hand_tracking,
op::flagsToRenderMode(FLAGS_hand_render, multipleView, FLAGS_render_pose), (float)FLAGS_hand_alpha_pose,
(float)FLAGS_hand_alpha_heatmap, (float)FLAGS_hand_render_threshold};
opWrapperT.configure(wrapperStructHand);
// Extra functionality configuration (use op::WrapperStructExtra{} to disable it)
const op::WrapperStructExtra wrapperStructExtra{
FLAGS_3d, FLAGS_3d_min_views, FLAGS_identification, FLAGS_tracking, FLAGS_ik_threads};
opWrapperT.configure(wrapperStructExtra);
// Producer (use default to disable any input)
const op::WrapperStructInput wrapperStructInput{
producerType, producerString, FLAGS_frame_first, FLAGS_frame_step, FLAGS_frame_last,
FLAGS_process_real_time, FLAGS_frame_flip, FLAGS_frame_rotate, FLAGS_frames_repeat,
cameraSize, FLAGS_camera_fps, FLAGS_camera_parameter_folder, !FLAGS_frame_keep_distortion,
(unsigned int) FLAGS_3d_views};
opWrapperT.configure(wrapperStructInput);
// Consumer (comment or use default argument to disable any output)
const auto displayMode = op::DisplayMode::NoDisplay;
const bool guiVerbose = false;
const bool fullScreen = false;
const op::WrapperStructOutput wrapperStructOutput{
displayMode, guiVerbose, fullScreen, FLAGS_write_keypoint,
op::stringToDataFormat(FLAGS_write_keypoint_format), FLAGS_write_json, FLAGS_write_coco_json,
FLAGS_write_coco_foot_json, FLAGS_write_images, FLAGS_write_images_format, FLAGS_write_video,
FLAGS_camera_fps, FLAGS_write_heatmaps, FLAGS_write_heatmaps_format, FLAGS_write_video_adam,
FLAGS_write_bvh, FLAGS_udp_host, FLAGS_udp_port};
opWrapperT.configure(wrapperStructOutput);
// Set to single-thread (for sequential processing and/or debugging and/or reducing latency)
if (FLAGS_disable_multi_thread)
opWrapperT.disableMultiThreading();
// Start, run, and stop processing - exec() blocks this thread until OpenPose wrapper has finished
op::log("Starting thread(s)...", op::Priority::High);
opWrapperT.start();
// User processing
UserOutputClass userOutputClass;
bool userWantsToExit = false;
while (!userWantsToExit)
{
// Pop frame
std::shared_ptr<std::vector<UserDatum>> datumProcessed;
if (opWrapperT.waitAndPop(datumProcessed))
{
userWantsToExit = userOutputClass.display(datumProcessed);;
userOutputClass.printKeypoints(datumProcessed);
}
else
op::log("Processed datum could not be emplaced.", op::Priority::High, __LINE__, __FUNCTION__, __FILE__);
}
op::log("Stopping thread(s)", op::Priority::High);
opWrapperT.stop();
// Measuring total time
const auto now = std::chrono::high_resolution_clock::now();
const auto totalTimeSec = (double)std::chrono::duration_cast<std::chrono::nanoseconds>(now-timerBegin).count()
* 1e-9;
const auto message = "OpenPose demo successfully finished. Total time: "
+ std::to_string(totalTimeSec) + " seconds.";
op::log(message, op::Priority::High);
// Return successful message
return 0;
}
catch (const std::exception& e)
{
op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
return -1;
}
}
int main(int argc, char *argv[])
{
// Parsing command line flags
gflags::ParseCommandLineFlags(&argc, &argv, true);
// Running tutorialApiCpp5
return tutorialApiCpp5();
}