Created
November 3, 2019 19:02
-
-
Save pablovela5620/cc9436517d0d734af92742361ff577f3 to your computer and use it in GitHub Desktop.
How to retrieve hand landmark proto from desktop cpu example
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
// Copyright 2019 The MediaPipe Authors. | |
// | |
// Licensed under the Apache License, Version 2.0 (the "License"); | |
// you may not use this file except in compliance with the License. | |
// You may obtain a copy of the License at | |
// | |
// http://www.apache.org/licenses/LICENSE-2.0 | |
// | |
// Unless required by applicable law or agreed to in writing, software | |
// distributed under the License is distributed on an "AS IS" BASIS, | |
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
// See the License for the specific language governing permissions and | |
// limitations under the License. | |
// | |
// An example of sending OpenCV webcam frames into a MediaPipe graph. | |
#include "mediapipe/framework/calculator_framework.h" | |
#include "mediapipe/framework/formats/image_frame.h" | |
#include "mediapipe/framework/formats/image_frame_opencv.h" | |
#include "mediapipe/framework/port/commandlineflags.h" | |
#include "mediapipe/framework/port/file_helpers.h" | |
#include "mediapipe/framework/port/opencv_highgui_inc.h" | |
#include "mediapipe/framework/port/opencv_imgproc_inc.h" | |
#include "mediapipe/framework/port/opencv_video_inc.h" | |
#include "mediapipe/framework/port/parse_text_proto.h" | |
#include "mediapipe/framework/port/status.h" | |
//Take stream from /mediapipe/graphs/hand_tracking/hand_detection_desktop_live.pbtxt | |
// RendererSubgraph - LANDMARKS:hand_landmarks | |
#include "mediapipe/calculators/util/landmarks_to_render_data_calculator.pb.h" | |
#include "mediapipe/framework/formats/landmark.pb.h" | |
// input and output streams to be used/retrieved by calculators | |
constexpr char kInputStream[] = "input_video"; | |
constexpr char kOutputStream[] = "output_video"; | |
constexpr char kLandmarksStream[] = "hand_landmarks"; | |
constexpr char kWindowName[] = "MediaPipe"; | |
// cli inputs | |
DEFINE_string( | |
calculator_graph_config_file, "", | |
"Name of file containing text format CalculatorGraphConfig proto."); | |
DEFINE_string(input_video_path, "", | |
"Full path of video to load. " | |
"If not provided, attempt to use a webcam."); | |
DEFINE_string(output_video_path, "", | |
"Full path of where to save result (.mp4 only). " | |
"If not provided, show result in a window."); | |
::mediapipe::Status RunMPPGraph() { | |
std::string calculator_graph_config_contents; | |
MP_RETURN_IF_ERROR(mediapipe::file::GetContents( | |
FLAGS_calculator_graph_config_file, &calculator_graph_config_contents)); | |
LOG(INFO) << "Get calculator graph config contents: " | |
<< calculator_graph_config_contents; | |
mediapipe::CalculatorGraphConfig config = | |
mediapipe::ParseTextProtoOrDie<mediapipe::CalculatorGraphConfig>( | |
calculator_graph_config_contents); | |
LOG(INFO) << "Initialize the calculator graph."; | |
mediapipe::CalculatorGraph graph; | |
MP_RETURN_IF_ERROR(graph.Initialize(config)); | |
LOG(INFO) << "Initialize the camera or load the video."; | |
cv::VideoCapture capture; | |
const bool load_video = !FLAGS_input_video_path.empty(); | |
if (load_video) { | |
capture.open(FLAGS_input_video_path); | |
} else { | |
capture.open(0); | |
} | |
RET_CHECK(capture.isOpened()); | |
cv::VideoWriter writer; | |
const bool save_video = !FLAGS_output_video_path.empty(); | |
if (save_video) { | |
LOG(INFO) << "Prepare video writer."; | |
cv::Mat test_frame; | |
capture.read(test_frame); // Consume first frame. | |
capture.set(cv::CAP_PROP_POS_AVI_RATIO, 0); // Rewind to beginning. | |
writer.open(FLAGS_output_video_path, | |
mediapipe::fourcc('a', 'v', 'c', '1'), // .mp4 | |
capture.get(cv::CAP_PROP_FPS), test_frame.size()); | |
RET_CHECK(writer.isOpened()); | |
} else { | |
cv::namedWindow(kWindowName, /*flags=WINDOW_AUTOSIZE*/ 1); | |
} | |
// pollers to retrieve streams from graph | |
// output stream (i.e. rendered landmark frame) | |
ASSIGN_OR_RETURN(mediapipe::OutputStreamPoller poller, | |
graph.AddOutputStreamPoller(kOutputStream)); | |
// hand landmarks stream | |
ASSIGN_OR_RETURN(mediapipe::OutputStreamPoller poller_landmark, | |
graph.AddOutputStreamPoller(kLandmarksStream)); | |
LOG(INFO) << "Start running the calculator graph."; | |
MP_RETURN_IF_ERROR(graph.StartRun({})); | |
LOG(INFO) << "Start grabbing and processing frames."; | |
size_t frame_timestamp = 0; | |
bool grab_frames = true; | |
while (grab_frames) { | |
// Capture opencv camera or video frame. | |
cv::Mat camera_frame_raw; | |
capture >> camera_frame_raw; | |
if (camera_frame_raw.empty()) break; // End of video. | |
cv::Mat camera_frame; | |
cv::cvtColor(camera_frame_raw, camera_frame, cv::COLOR_BGR2RGB); | |
if (!load_video) { | |
cv::flip(camera_frame, camera_frame, /*flipcode=HORIZONTAL*/ 1); | |
} | |
// Wrap Mat into an ImageFrame. | |
auto input_frame = absl::make_unique<mediapipe::ImageFrame>( | |
mediapipe::ImageFormat::SRGB, camera_frame.cols, camera_frame.rows, | |
mediapipe::ImageFrame::kDefaultAlignmentBoundary); | |
cv::Mat input_frame_mat = mediapipe::formats::MatView(input_frame.get()); | |
camera_frame.copyTo(input_frame_mat); | |
// Send image packet into the graph. | |
MP_RETURN_IF_ERROR(graph.AddPacketToInputStream( | |
kInputStream, mediapipe::Adopt(input_frame.release()) | |
.At(mediapipe::Timestamp(frame_timestamp++)))); | |
// Get the graph result packet, or stop if that fails. | |
mediapipe::Packet packet; | |
mediapipe::Packet landmark_packet; | |
//Polling the poller to get landmark packet | |
if (!poller.Next(&packet)) break; | |
if (!poller_landmark.Next(&landmark_packet)) break; | |
// Use packet.Get to recover values from packet | |
auto& output_frame = packet.Get<mediapipe::ImageFrame>(); | |
auto& output_landmarks = landmark_packet.Get<std::vector<::mediapipe::NormalizedLandmark>>(); | |
// Convert back to opencv for display or saving. | |
cv::Mat output_frame_mat = mediapipe::formats::MatView(&output_frame); | |
cv::cvtColor(output_frame_mat, output_frame_mat, cv::COLOR_RGB2BGR); | |
if (save_video) { | |
writer.write(output_frame_mat); | |
} else { | |
cv::imshow(kWindowName, output_frame_mat); | |
// Press any key to exit. | |
const int pressed_key = cv::waitKey(5); | |
if (pressed_key >= 0 && pressed_key != 255) grab_frames = false; | |
} | |
// printout landmark values | |
for (const ::mediapipe::NormalizedLandmark& landmark : output_landmarks) { | |
std::cout << landmark.DebugString(); | |
} | |
} | |
LOG(INFO) << "Shutting down."; | |
if (writer.isOpened()) writer.release(); | |
MP_RETURN_IF_ERROR(graph.CloseInputStream(kInputStream)); | |
return graph.WaitUntilDone(); | |
} | |
int main(int argc, char** argv) { | |
google::InitGoogleLogging(argv[0]); | |
gflags::ParseCommandLineFlags(&argc, &argv, true); | |
::mediapipe::Status run_status = RunMPPGraph(); | |
if (!run_status.ok()) { | |
LOG(ERROR) << "Failed to run the graph: " << run_status.message(); | |
} else { | |
LOG(INFO) << "Success!"; | |
} | |
return 0; | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Note that
constexpr char kLandmarksStream[] = "hand_landmarks";
now needs to beconstexpr char kLandmarksStream[] = "landmarks";
as the Graphmediapipe/graphs/hand_tracking/hand_tracking_desktop_live.pbtxt
has changed.