Bazel run for Face Effect as a desktop app fails

[shreshtashetty]

I wish to run the face_effect graph in graphs/face_effect through a desktop example through demo_run_graph_main_gpu.cc. So, I created a new folder named face_effect in mediapipe/examples/desktop and added a build file with the following contents:-

licenses(["notice"])

package(default_visibility = ["//mediapipe/examples:__subpackages__"])

cc_binary(
    name = "face_effect_gpu",
    data = [
        "//mediapipe/modules/face_detection:face_detection_short_range.tflite",
        "//mediapipe/modules/face_landmark:face_landmark_with_attention.tflite",
    ],
    deps = [
        "//mediapipe/examples/desktop:demo_run_graph_main_gpu",
        "//mediapipe/graphs/face_effect:face_effect_gpu_deps",
    ],
)

The build succeeds, but however, the run fails. When I run bazel-bin/mediapipe/examples/desktop/face_effect/face_effect_gpu --calculator_graph_config_file=mediapipe/graphs/face_effect/face_effect_gpu.pbtxt, I get the following error:-

I0000 00:00:1705225252.987829   17150 demo_run_graph_main_gpu.cc:60] Initialize the calculator graph.
I0000 00:00:1705225252.991718   17150 demo_run_graph_main_gpu.cc:64] Initialize the GPU.
I0000 00:00:1705225253.030466   17150 gl_context_egl.cc:85] Successfully initialized EGL. Major : 1 Minor: 5
I0000 00:00:1705225253.033527   17168 gl_context.cc:344] GL version: 3.2 (OpenGL ES 3.2 Mesa 23.0.4-0ubuntu1~22.04.1), renderer: Mesa Intel(R) Xe Graphics (TGL GT2)
I0000 00:00:1705225253.033605   17150 demo_run_graph_main_gpu.cc:70] Initialize the camera or load the video.
[ WARN:0] global ./modules/videoio/src/cap_gstreamer.cpp (1100) open OpenCV | GStreamer warning: Cannot query video position: status=0, value=-1, duration=-1
I0000 00:00:1705225254.398506   17150 demo_run_graph_main_gpu.cc:91] Start running the calculator graph.
I0000 00:00:1705225254.402772   17150 demo_run_graph_main_gpu.cc:96] Start grabbing and processing frames.
F0000 00:00:1705225254.402965   17154 collection.h:418] Check failed: id < EndId() (1 vs. 1) 
*** Check failure stack trace: ***
    @     0x55f2f42f98ad  absl::lts_20230125::log_internal::LogMessageFatal::~LogMessageFatal()
    @     0x55f2f424a4f0  mediapipe::InputSidePacketHandler::SetInternal()
    @     0x55f2f424a857  mediapipe::InputSidePacketHandler::Set()
    @     0x55f2f4248f3e  mediapipe::OutputSidePacketImpl::SetInternal()
    @     0x55f2f42492a5  mediapipe::OutputSidePacketImpl::Set()
    @     0x55f2f41f403c  mediapipe::(anonymous namespace)::EnvGeneratorCalculator::Open()
    @     0x55f2f4248384  mediapipe::CalculatorNode::OpenNode()
    @     0x55f2f421d462  mediapipe::internal::SchedulerQueue::OpenCalculatorNode()
    @     0x55f2f421d7b2  mediapipe::internal::SchedulerQueue::RunNextTask()
    @     0x55f2f423a8bb  mediapipe::ThreadPool::RunWorker()
    @     0x55f2f423b3f0  mediapipe::ThreadPool::WorkerThread::ThreadBody()
    @     0x7f5079c94ac3  (unknown)
Aborted (core dumped)

The other apps such as hand_tracking, face_detection etc. run fine. The error seems to happen after capture >> camera_frame_raw; There have been at least 2 other issues (#3544, #3060) where the people raising it are facing the exact same problem, but no concrete answer has been given. Any help?

If not through the legacy solutions in C++, is there some way to do this using the Python API?

[kuaashish]

Hi @shreshtashetty,

I apologize for the delayed response. Could you please confirm if this issue has been resolved on your end, or if you still require assistance from us?

Thank you!!

[github-actions[bot]]

This issue has been marked stale because it has no recent activity since 7 days. It will be closed if no further activity occurs. Thank you.

[github-actions[bot]]

This issue was closed due to lack of activity after being marked stale for past 7 days.

[google-ml-butler[bot]]

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