mediapipe/mediapipe/examples/desktop

Hello World

To build the "Hello World" example, use:

bazel build -c opt mediapipe/examples/desktop/hello_world:hello_world

and then run it using:

export GLOG_logtostderr=1

bazel-bin/mediapipe/examples/desktop/hello_world/hello_world

TFlite Object Detection

To build the object detection demo using a TFLite model on desktop, use:

bazel build -c opt mediapipe/examples/desktop/object_detection:object_detection_tflite --define MEDIAPIPE_DISABLE_GPU=1

and run it using:

export GLOG_logtostderr=1

bazel-bin/mediapipe/examples/desktop/object_detection/object_detection_tflite \
  --calculator_graph_config_file=mediapipe/graphs/object_detection/object_detection_desktop_tflite_graph.pbtxt \
  --input_side_packets=input_video_path=/path/to/input/file,output_video_path=/path/to/output/file

TensorFlow Object Detection

To build the object detection demo using a TensorFlow model on desktop, use:

export GLOG_logtostderr=1

bazel build -c opt mediapipe/examples/desktop/object_detection:object_detection_tensorflow \
  --define MEDIAPIPE_DISABLE_GPU=1

and run it using:

export GLOG_logtostderr=1

bazel-bin/mediapipe/examples/desktop/object_detection/object_detection_tensorflow  \
  --calculator_graph_config_file=mediapipe/graphs/object_detection/object_detection_desktop_tensorflow_graph.pbtxt  \
  --input_side_packets=input_video_path=/path/to/input/file,output_video_path=/path/to/output/file

TFlite Hand Detection

To build the hand detection demo using a TFLite model on desktop, use:

bazel build -c opt mediapipe/examples/desktop/hand_tracking:hand_tracking_tflite --define MEDIAPIPE_DISABLE_GPU=1

and run it using:

export GLOG_logtostderr=1

bazel-bin/mediapipe/examples/desktop/hand_tracking/hand_tracking_tflite \
  --calculator_graph_config_file=mediapipe/graphs/hand_tracking/hand_detection_desktop.pbtxt \
  --input_side_packets=input_video_path=/path/to/input/file,output_video_path=/path/to/output/file

TFlite Hand Tracking

To build the hand tracking demo using a TFLite model on desktop, use:

bazel build -c opt mediapipe/examples/desktop/hand_tracking:hand_tracking_tflite --define MEDIAPIPE_DISABLE_GPU=1

and run it using:

export GLOG_logtostderr=1

bazel-bin/mediapipe/examples/desktop/hand_tracking/hand_tracking_tflite \
  --calculator_graph_config_file=mediapipe/graphs/hand_tracking/hand_tracking_desktop.pbtxt \
  --input_side_packets=input_video_path=/path/to/input/file,output_video_path=/path/to/output/file

TFlite Multi-Hand Tracking

To build the multi-hand tracking demo using a TFLite model on desktop, use:

bazel build -c opt mediapipe/examples/desktop/multi_hand_tracking:multi_hand_tracking_tflite --define MEDIAPIPE_DISABLE_GPU=1

and run it using:

export GLOG_logtostderr=1

bazel-bin/mediapipe/examples/desktop/multi_hand_tracking/multi_hand_tracking_tflite \
  --calculator_graph_config_file=mediapipe/graphs/hand_tracking/multi_hand_tracking_desktop.pbtxt \
  --input_side_packets=input_video_path=/path/to/input/file,output_video_path=/path/to/output/file

To change the number of hands to x in this application, change:

1. min_size:x in CollectionHasMinSizeCalculatorOptions in mediapipe/graphs/hand_tracking/multi_hand_tracking_desktop.pbtxt.
2. max_vec_size:x in ClipVectorSizeCalculatorOptions in mediapipe/examples/dekstop/hand_tracking/subgraphs/multi_hand_detection_cpu.pbtxt.