"OpenPose C++ API Tutorial - Example 3 - Body from image" 的 运行 失败了
Running of "OpenPose C++ API Tutorial - Example 3 - Body from image" has failed
我已经成功安装了 openpose（带有 OpenCV、CUDA 和所有必需的库）。起初我试图通过 运行ning 演示应用程序 运行 openpose（我不得不使用参数 --net-resolution）：
./build/examples/openpose/openpose.bin --net-resolution "-1x64"
它工作正常。
现在，我想在自己的源代码中使用openpose。所以我想构建 运行 OpenPose 教程中的示例 (03 Keypoints from image)。但是当我尝试 运行 源代码时，我得到了以下输出：
Starting OpenPose demo...
Configuring OpenPose...
Starting thread(s)...
Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0.
F0806 22:47:55.485319 12505 syncedmem.cpp:71] Check failed: error == cudaSuccess (2 vs. 0) out of memory
*** Check failure stack trace: ***
@ 0x7f35145810cd google::LogMessage::Fail()
@ 0x7f3514582f33 google::LogMessage::SendToLog()
@ 0x7f3514580c28 google::LogMessage::Flush()
@ 0x7f3514583999 google::LogMessageFatal::~LogMessageFatal()
@ 0x7f3513c92c28 caffe::SyncedMemory::mutable_gpu_data()
@ 0x7f3513b1c202 caffe::Blob<>::mutable_gpu_data()
@ 0x7f3513cdfd10 caffe::ConvolutionLayer<>::Forward_gpu()
@ 0x7f3513c58f11 caffe::Net<>::ForwardFromTo()
@ 0x7f3517a89e9d op::NetCaffe::forwardPass()
@ 0x7f3517ab244a op::PoseExtractorCaffe::forwardPass()
@ 0x7f3517aab2d5 op::PoseExtractor::forwardPass()
@ 0x7f3517aa829f op::WPoseExtractor<>::work()
@ 0x7f3517aebb79 op::Worker<>::checkAndWork()
@ 0x7f3517aebd03 op::SubThread<>::workTWorkers()
@ 0x7f3517af5968 op::SubThreadQueueInOut<>::work()
@ 0x7f3517aedfe1 op::Thread<>::threadFunction()
@ 0x7f351549766f (unknown)
@ 0x7f3514bb96db start_thread
@ 0x7f3514ef288f clone
Process finished with exit code 134 (interrupted by signal 6: SIGABRT)
我已经禁用了所有可能的附加选项，这是我的来源：
#define OPENPOSE_FLAGS_DISABLE_PRODUCER
#define OPENPOSE_FLAGS_DISABLE_DISPLAY
#include <openpose/flags.hpp>
#include <openpose/headers.hpp>
DEFINE_string(image_path, "/home/user/Downloads/myimage.jpg",
"Process an image.");
// Display
DEFINE_bool(no_display, false,
"Enable to disable the visual display.");
// This worker will just read and return all the jpg files in a directory
void display(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
{
try
{
if (datumsPtr != nullptr && !datumsPtr->empty())
{
// Display image
cv::imshow(OPEN_POSE_NAME_AND_VERSION + " - Tutorial C++ API", datumsPtr->at(0)->cvOutputData);
cv::waitKey(0);
}
else
op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
}
catch (const std::exception& e)
{
op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
}
}
void printKeypoints(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
{
try
{
// Example: How to use the pose keypoints
if (datumsPtr != nullptr && !datumsPtr->empty())
{
op::log("Body keypoints: " + datumsPtr->at(0)->poseKeypoints.toString(), op::Priority::High);
op::log("Face keypoints: " + datumsPtr->at(0)->faceKeypoints.toString(), op::Priority::High);
op::log("Left hand keypoints: " + datumsPtr->at(0)->handKeypoints[0].toString(), op::Priority::High);
op::log("Right hand keypoints: " + datumsPtr->at(0)->handKeypoints[1].toString(), op::Priority::High);
}
else
op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
}
catch (const std::exception& e)
{
op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
}
}
void configureWrapper(op::Wrapper& opWrapper)
{
try
{
// Configuring OpenPose
// 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
// outputSize
const auto outputSize = op::flagsToPoint(FLAGS_output_resolution, "-1x-1");
// netInputSize
const auto netInputSize = op::flagsToPoint(FLAGS_net_resolution, "-1x64");
// poseMode
const auto poseMode = op::flagsToPoseMode(FLAGS_body);
// 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);
// keypointScaleMode
const auto keypointScaleMode = 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 heatMapScaleMode = op::flagsToHeatMapScaleMode(FLAGS_heatmaps_scale);
// >1 camera view?
const auto multipleView = (FLAGS_3d || FLAGS_3d_views > 1);
// Enabling Google Logging
const bool enableGoogleLogging = true;
// Pose configuration (use WrapperStructPose{} for default and recommended configuration)
const op::WrapperStructPose wrapperStructPose{
poseMode, netInputSize, outputSize, keypointScaleMode, 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, heatMapScaleMode, FLAGS_part_candidates,
(float)FLAGS_render_threshold, FLAGS_number_people_max, FLAGS_maximize_positives, FLAGS_fps_max,
FLAGS_prototxt_path, FLAGS_caffemodel_path, (float)FLAGS_upsampling_ratio, enableGoogleLogging};
opWrapper.configure(wrapperStructPose);
// Face configuration (use op::WrapperStructFace{} to disable it)
opWrapper.configure(op::WrapperStructFace{});
// Hand configuration (use op::WrapperStructHand{} to disable it)
opWrapper.configure(op::WrapperStructHand{});
// Extra functionality configuration (use op::WrapperStructExtra{} to disable it)
opWrapper.configure(op::WrapperStructExtra{});
// No GUI. Equivalent to: opWrapper.configure(op::WrapperStructGui{});
opWrapper.configure(op::WrapperStructGui{});
// Set to single-thread (for sequential processing and/or debugging and/or reducing latency)
if (FLAGS_disable_multi_thread)
opWrapper.disableMultiThreading();
}
catch (const std::exception& e)
{
op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
}
}
int tutorialApiCpp()
{
try
{
op::log("Starting OpenPose demo...", op::Priority::High);
const auto opTimer = op::getTimerInit();
// Configuring OpenPose
op::log("Configuring OpenPose...", op::Priority::High);
op::Wrapper opWrapper{op::ThreadManagerMode::Asynchronous};
configureWrapper(opWrapper);
// Starting OpenPose
op::log("Starting thread(s)...", op::Priority::High);
opWrapper.start();
// Process and display image
const auto imageToProcess = cv::imread(FLAGS_image_path);
auto datumProcessed = opWrapper.emplaceAndPop(imageToProcess);
if (datumProcessed != nullptr)
{
printKeypoints(datumProcessed);
if (!FLAGS_no_display)
display(datumProcessed);
}
else
op::log("Image could not be processed.", op::Priority::High);
// Measuring total time
op::printTime(opTimer, "OpenPose demo successfully finished. Total time: ", " seconds.", op::Priority::High);
// Return
return 0;
}
catch (const std::exception& e)
{
return -1;
}
}
int main(int argc, char *argv[])
{
// Parsing command line flags
gflags::ParseCommandLineFlags(&argc, &argv, true);
// Running tutorialApiCpp
return tutorialApiCpp();
}
你能帮我找出可能出错的地方吗？在我设置 --net-resolution 之前，消息 error == cudaSuccess (2 vs. 0) out of memory 甚至由 openpose 演示应用程序显示。设置此参数后，open pose 已开始正常工作。
非常感谢您的任何建议，任何帮助或评论都可以帮助我解决问题。
现在我几乎感到尴尬。问题不在于禁用一些额外的选项或附近的任何东西。问题出在这段代码中：
const auto netInputSize = op::flagsToPoint(FLAGS_net_resolution, "-1x368");
就像我写的那样，我想降低网络分辨率，因为我只有 2GB 的 GPU 内存。但是当我复制粘贴示例代码时，我看到了上面的这段代码，我认为它的意思是：
const auto netInputSize = op::flagsToPoint(<flag_name>, <flag_value>);
但事实并非如此。经过一些探索和调试后，我发现标志 FLAGS_net_resolution 的值在这段代码之前和之后是相同的。我发现如果您想在代码中更改标志的默认值（不是通过命令行），则必须在调用函数 ParseCommandLineFlags() 之前在 main() 函数中执行此操作（即Changing the Default Flag Value).
所以，我的问题的解决方案是：
- 复制示例源代码
- 将示例源代码粘贴到我的源文件中
- 更改函数中的网络分辨率标志
main()
int main(int argc, char *argv[])
{
FLAGS_net_resolution = "-1x256";
// Parsing command line flags
gflags::ParseCommandLineFlags(&argc, &argv, true);
// Running tutorialApiCpp
return tutorialApiCpp();
}
注意：仅更改了标志net_resolution的默认值，仍然可以通过命令行设置该值。
再次感谢。
我已经成功安装了 openpose（带有 OpenCV、CUDA 和所有必需的库）。起初我试图通过 运行ning 演示应用程序 运行 openpose（我不得不使用参数 --net-resolution）：
./build/examples/openpose/openpose.bin --net-resolution "-1x64"
它工作正常。
现在，我想在自己的源代码中使用openpose。所以我想构建 运行 OpenPose 教程中的示例 (03 Keypoints from image)。但是当我尝试 运行 源代码时，我得到了以下输出：
Starting OpenPose demo...
Configuring OpenPose...
Starting thread(s)...
Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0.
F0806 22:47:55.485319 12505 syncedmem.cpp:71] Check failed: error == cudaSuccess (2 vs. 0) out of memory
*** Check failure stack trace: ***
@ 0x7f35145810cd google::LogMessage::Fail()
@ 0x7f3514582f33 google::LogMessage::SendToLog()
@ 0x7f3514580c28 google::LogMessage::Flush()
@ 0x7f3514583999 google::LogMessageFatal::~LogMessageFatal()
@ 0x7f3513c92c28 caffe::SyncedMemory::mutable_gpu_data()
@ 0x7f3513b1c202 caffe::Blob<>::mutable_gpu_data()
@ 0x7f3513cdfd10 caffe::ConvolutionLayer<>::Forward_gpu()
@ 0x7f3513c58f11 caffe::Net<>::ForwardFromTo()
@ 0x7f3517a89e9d op::NetCaffe::forwardPass()
@ 0x7f3517ab244a op::PoseExtractorCaffe::forwardPass()
@ 0x7f3517aab2d5 op::PoseExtractor::forwardPass()
@ 0x7f3517aa829f op::WPoseExtractor<>::work()
@ 0x7f3517aebb79 op::Worker<>::checkAndWork()
@ 0x7f3517aebd03 op::SubThread<>::workTWorkers()
@ 0x7f3517af5968 op::SubThreadQueueInOut<>::work()
@ 0x7f3517aedfe1 op::Thread<>::threadFunction()
@ 0x7f351549766f (unknown)
@ 0x7f3514bb96db start_thread
@ 0x7f3514ef288f clone
Process finished with exit code 134 (interrupted by signal 6: SIGABRT)
我已经禁用了所有可能的附加选项，这是我的来源：
#define OPENPOSE_FLAGS_DISABLE_PRODUCER
#define OPENPOSE_FLAGS_DISABLE_DISPLAY
#include <openpose/flags.hpp>
#include <openpose/headers.hpp>
DEFINE_string(image_path, "/home/user/Downloads/myimage.jpg",
"Process an image.");
// Display
DEFINE_bool(no_display, false,
"Enable to disable the visual display.");
// This worker will just read and return all the jpg files in a directory
void display(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
{
try
{
if (datumsPtr != nullptr && !datumsPtr->empty())
{
// Display image
cv::imshow(OPEN_POSE_NAME_AND_VERSION + " - Tutorial C++ API", datumsPtr->at(0)->cvOutputData);
cv::waitKey(0);
}
else
op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
}
catch (const std::exception& e)
{
op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
}
}
void printKeypoints(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
{
try
{
// Example: How to use the pose keypoints
if (datumsPtr != nullptr && !datumsPtr->empty())
{
op::log("Body keypoints: " + datumsPtr->at(0)->poseKeypoints.toString(), op::Priority::High);
op::log("Face keypoints: " + datumsPtr->at(0)->faceKeypoints.toString(), op::Priority::High);
op::log("Left hand keypoints: " + datumsPtr->at(0)->handKeypoints[0].toString(), op::Priority::High);
op::log("Right hand keypoints: " + datumsPtr->at(0)->handKeypoints[1].toString(), op::Priority::High);
}
else
op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
}
catch (const std::exception& e)
{
op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
}
}
void configureWrapper(op::Wrapper& opWrapper)
{
try
{
// Configuring OpenPose
// 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
// outputSize
const auto outputSize = op::flagsToPoint(FLAGS_output_resolution, "-1x-1");
// netInputSize
const auto netInputSize = op::flagsToPoint(FLAGS_net_resolution, "-1x64");
// poseMode
const auto poseMode = op::flagsToPoseMode(FLAGS_body);
// 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);
// keypointScaleMode
const auto keypointScaleMode = 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 heatMapScaleMode = op::flagsToHeatMapScaleMode(FLAGS_heatmaps_scale);
// >1 camera view?
const auto multipleView = (FLAGS_3d || FLAGS_3d_views > 1);
// Enabling Google Logging
const bool enableGoogleLogging = true;
// Pose configuration (use WrapperStructPose{} for default and recommended configuration)
const op::WrapperStructPose wrapperStructPose{
poseMode, netInputSize, outputSize, keypointScaleMode, 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, heatMapScaleMode, FLAGS_part_candidates,
(float)FLAGS_render_threshold, FLAGS_number_people_max, FLAGS_maximize_positives, FLAGS_fps_max,
FLAGS_prototxt_path, FLAGS_caffemodel_path, (float)FLAGS_upsampling_ratio, enableGoogleLogging};
opWrapper.configure(wrapperStructPose);
// Face configuration (use op::WrapperStructFace{} to disable it)
opWrapper.configure(op::WrapperStructFace{});
// Hand configuration (use op::WrapperStructHand{} to disable it)
opWrapper.configure(op::WrapperStructHand{});
// Extra functionality configuration (use op::WrapperStructExtra{} to disable it)
opWrapper.configure(op::WrapperStructExtra{});
// No GUI. Equivalent to: opWrapper.configure(op::WrapperStructGui{});
opWrapper.configure(op::WrapperStructGui{});
// Set to single-thread (for sequential processing and/or debugging and/or reducing latency)
if (FLAGS_disable_multi_thread)
opWrapper.disableMultiThreading();
}
catch (const std::exception& e)
{
op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
}
}
int tutorialApiCpp()
{
try
{
op::log("Starting OpenPose demo...", op::Priority::High);
const auto opTimer = op::getTimerInit();
// Configuring OpenPose
op::log("Configuring OpenPose...", op::Priority::High);
op::Wrapper opWrapper{op::ThreadManagerMode::Asynchronous};
configureWrapper(opWrapper);
// Starting OpenPose
op::log("Starting thread(s)...", op::Priority::High);
opWrapper.start();
// Process and display image
const auto imageToProcess = cv::imread(FLAGS_image_path);
auto datumProcessed = opWrapper.emplaceAndPop(imageToProcess);
if (datumProcessed != nullptr)
{
printKeypoints(datumProcessed);
if (!FLAGS_no_display)
display(datumProcessed);
}
else
op::log("Image could not be processed.", op::Priority::High);
// Measuring total time
op::printTime(opTimer, "OpenPose demo successfully finished. Total time: ", " seconds.", op::Priority::High);
// Return
return 0;
}
catch (const std::exception& e)
{
return -1;
}
}
int main(int argc, char *argv[])
{
// Parsing command line flags
gflags::ParseCommandLineFlags(&argc, &argv, true);
// Running tutorialApiCpp
return tutorialApiCpp();
}
你能帮我找出可能出错的地方吗？在我设置 --net-resolution 之前，消息 error == cudaSuccess (2 vs. 0) out of memory 甚至由 openpose 演示应用程序显示。设置此参数后，open pose 已开始正常工作。
非常感谢您的任何建议，任何帮助或评论都可以帮助我解决问题。
现在我几乎感到尴尬。问题不在于禁用一些额外的选项或附近的任何东西。问题出在这段代码中：
const auto netInputSize = op::flagsToPoint(FLAGS_net_resolution, "-1x368");
就像我写的那样，我想降低网络分辨率，因为我只有 2GB 的 GPU 内存。但是当我复制粘贴示例代码时，我看到了上面的这段代码，我认为它的意思是：
const auto netInputSize = op::flagsToPoint(<flag_name>, <flag_value>);
但事实并非如此。经过一些探索和调试后，我发现标志 FLAGS_net_resolution 的值在这段代码之前和之后是相同的。我发现如果您想在代码中更改标志的默认值（不是通过命令行），则必须在调用函数 ParseCommandLineFlags() 之前在 main() 函数中执行此操作（即Changing the Default Flag Value).
所以，我的问题的解决方案是：
- 复制示例源代码
- 将示例源代码粘贴到我的源文件中
- 更改函数中的网络分辨率标志
main()
int main(int argc, char *argv[])
{
FLAGS_net_resolution = "-1x256";
// Parsing command line flags
gflags::ParseCommandLineFlags(&argc, &argv, true);
// Running tutorialApiCpp
return tutorialApiCpp();
}
注意：仅更改了标志net_resolution的默认值，仍然可以通过命令行设置该值。
再次感谢。