run face_mesh example error

OS Platform and Distribution

windows

Compiler version

No response

Programming Language and version

py3.8

Installed using virtualenv? pip? Conda?(if python)

No response

MediaPipe version

0.10.13

Bazel version

6.5.0

XCode and Tulsi versions (if iOS)

No response

Android SDK and NDK versions (if android)

No response

Android AAR (if android)

None

OpenCV version (if running on desktop)

No response

Describe the problem

I0000 00:00:1730197605.587879 21296 demo_run_graph_main.cc:56] Initialize the calculator graph. E0000 00:00:1730197605.588306 21296 demo_run_graph_main.cc:156] Failed to run the graph: ValidatedGraphConfig Initialization failed. No registered object with name: FaceLandmarkFrontCpu; Unable to find Calculator "FaceLandmarkFrontCpu" No registered object with name: FaceRendererCpu; Unable to find Calculator "FaceRendererCpu"

Complete Logs

bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 --action_env PYTHON_BIN_PATH="C:\\Users\wk1026\.conda\envs\mep\\python.exe" mediapipe/examples/desktop/face_mesh:face_mesh_cpu --verbose_failures
build success
bazel-bin\mediapipe\examples\desktop\hand_tracking\hand_tracking_cpu.exe --calculator_graph_config_file=mediapipe\graphs\face_mesh\face_mesh_desktop_live.pbtxt

WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1730197605.585435   21296 demo_run_graph_main.cc:50] Get calculator graph config contents: # MediaPipe graph that performs face mesh with TensorFlow Lite on CPU.

# Input image. (ImageFrame)
input_stream: "input_video"

# Output image with rendered results. (ImageFrame)
output_stream: "output_video"
# Collection of detected/processed faces, each represented as a list of
# landmarks. (std::vector<NormalizedLandmarkList>)
output_stream: "multi_face_landmarks"

# Throttles the images flowing downstream for flow control. It passes through
# the very first incoming image unaltered, and waits for downstream nodes
# (calculators and subgraphs) in the graph to finish their tasks before it
# passes through another image. All images that come in while waiting are
# dropped, limiting the number of in-flight images in most part of the graph to
# 1. This prevents the downstream nodes from queuing up incoming images and data
# excessively, which leads to increased latency and memory usage, unwanted in
# real-time mobile applications. It also eliminates unnecessarily computation,
# e.g., the output produced by a node may get dropped downstream if the
# subsequent nodes are still busy processing previous inputs.
node {
  calculator: "FlowLimiterCalculator"
  input_stream: "input_video"
  input_stream: "FINISHED:output_video"
  input_stream_info: {
    tag_index: "FINISHED"
    back_edge: true
  }
  output_stream: "throttled_input_video"
}

# Defines side packets for further use in the graph.
node {
  calculator: "ConstantSidePacketCalculator"
  output_side_packet: "PACKET:0:num_faces"
  output_side_packet: "PACKET:1:with_attention"
  node_options: {
    [type.googleapis.com/mediapipe.ConstantSidePacketCalculatorOptions]: {
      packet { int_value: 1 }
      packet { bool_value: true }
    }
  }
}

# Subgraph that detects faces and corresponding landmarks.
node {
  calculator: "FaceLandmarkFrontCpu"
  input_stream: "IMAGE:throttled_input_video"
  input_side_packet: "NUM_FACES:num_faces"
  input_side_packet: "WITH_ATTENTION:with_attention"
  output_stream: "LANDMARKS:multi_face_landmarks"
  output_stream: "ROIS_FROM_LANDMARKS:face_rects_from_landmarks"
  output_stream: "DETECTIONS:face_detections"
  output_stream: "ROIS_FROM_DETECTIONS:face_rects_from_detections"
}

# Subgraph that renders face-landmark annotation onto the input image.
node {
  calculator: "FaceRendererCpu"
  input_stream: "IMAGE:throttled_input_video"
  input_stream: "LANDMARKS:multi_face_landmarks"
  input_stream: "NORM_RECTS:face_rects_from_landmarks"
  input_stream: "DETECTIONS:face_detections"
  output_stream: "IMAGE:output_video"
}

I0000 00:00:1730197605.587879   21296 demo_run_graph_main.cc:56] Initialize the calculator graph.
E0000 00:00:1730197605.588306   21296 demo_run_graph_main.cc:156] Failed to run the graph: ValidatedGraphConfig Initialization failed.
No registered object with name: FaceLandmarkFrontCpu; Unable to find Calculator "FaceLandmarkFrontCpu"
No registered object with name: FaceRendererCpu; Unable to find Calculator "FaceRendererCpu"

google-ai-edge / mediapipe