From 71a47bb18b122f8b571fb7018f083dced5893fab Mon Sep 17 00:00:00 2001 From: MediaPipe Team Date: Sun, 18 Aug 2019 19:54:50 -0700 Subject: [PATCH] Project import generated by Copybara. PiperOrigin-RevId: 264072870 --- .gitignore | 7 + .../Configs/MediaPipe.tulsigen | 115 +++++++++++ .../MediaPipe.tulsiproj/project.tulsiconf | 24 +++ mediapipe/docs/examples.md | 18 +- mediapipe/docs/framework_concepts.md | 4 +- mediapipe/docs/hand_detection_mobile_gpu.md | 5 +- mediapipe/docs/hand_tracking_mobile_gpu.md | 24 ++- mediapipe/docs/hello_world_android.md | 5 +- mediapipe/docs/hello_world_ios.md | 2 + .../mobile/hand_tracking_3d_android_gpu.gif | Bin 0 -> 3711110 bytes mediapipe/docs/install.md | 190 +++++++++--------- mediapipe/docs/mediapipe_ios_setup.md | 23 +++ mediapipe/docs/troubleshooting.md | 6 +- mediapipe/docs/visualizer.md | 70 ++++--- mediapipe/models/hand_landmark_3d.tflite | Bin 4063072 -> 5565228 bytes 15 files changed, 352 insertions(+), 141 deletions(-) create mode 100644 mediapipe/MediaPipe.tulsiproj/Configs/MediaPipe.tulsigen create mode 100644 mediapipe/MediaPipe.tulsiproj/project.tulsiconf create mode 100644 mediapipe/docs/images/mobile/hand_tracking_3d_android_gpu.gif diff --git a/.gitignore b/.gitignore index cc06ef42e..5bcaac023 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,8 @@ mediapipe/provisioning_profile.mobileprovision +bazel-bin +bazel-genfiles +bazel-mediapipe-ioss +bazel-out +bazel-testlogs +mediapipe/MediaPipe.xcodeproj +mediapipe/MediaPipe.tulsiproj/*.tulsiconf-user diff --git a/mediapipe/MediaPipe.tulsiproj/Configs/MediaPipe.tulsigen b/mediapipe/MediaPipe.tulsiproj/Configs/MediaPipe.tulsigen new file mode 100644 index 000000000..51a68cc8e --- /dev/null +++ b/mediapipe/MediaPipe.tulsiproj/Configs/MediaPipe.tulsigen @@ -0,0 +1,115 @@ +{ + "additionalFilePaths" : [ + "/BUILD", + "mediapipe/BUILD", + "mediapipe/objc/BUILD", + "mediapipe/examples/ios/BUILD", + "mediapipe/examples/ios/edgedetectiongpu/BUILD", + "mediapipe/examples/ios/facedetectioncpu/BUILD", + "mediapipe/examples/ios/facedetectiongpu/BUILD", + "mediapipe/examples/ios/handdetectiongpu/BUILD", + "mediapipe/examples/ios/handtrackinggpu/BUILD", + "mediapipe/examples/ios/objectdetectioncpu/BUILD", + "mediapipe/examples/ios/objectdetectiongpu/BUILD" + ], + "buildTargets" : [ + "//mediapipe/examples/ios/edgedetectiongpu:EdgeDetectionGpuApp", + "//mediapipe/examples/ios/facedetectioncpu:FaceDetectionCpuApp", + "//mediapipe/examples/ios/facedetectiongpu:FaceDetectionGpuApp", + "//mediapipe/examples/ios/handdetectiongpu:HandDetectionGpuApp", + "//mediapipe/examples/ios/handtrackinggpu:HandTrackingGpuApp", + "//mediapipe/examples/ios/objectdetectioncpu:ObjectDetectionCpuApp", + "//mediapipe/examples/ios/objectdetectiongpu:ObjectDetectionGpuApp", + "//mediapipe/objc:mediapipe_framework_ios" + ], + "optionSet" : { + "BazelBuildOptionsDebug" : { + "p" : "$(inherited)" + }, + "BazelBuildOptionsRelease" : { + "p" : "$(inherited)" + }, + "BazelBuildStartupOptionsDebug" : { + "p" : "$(inherited)" + }, + "BazelBuildStartupOptionsRelease" : { + "p" : "$(inherited)" + }, + "BuildActionPostActionScript" : { + "p" : "$(inherited)" + }, + "BuildActionPreActionScript" : { + "p" : "$(inherited)" + }, + "CommandlineArguments" : { + "p" : "$(inherited)" + }, + "EnvironmentVariables" : { + "p" : "$(inherited)" + }, + "LaunchActionPostActionScript" : { + "p" : "$(inherited)" + }, + "LaunchActionPreActionScript" : { + "p" : "$(inherited)" + }, + "ProjectGenerationBazelStartupOptions" : { + "p" : "$(inherited)" + }, + "TestActionPostActionScript" : { + "p" : "$(inherited)" + }, + "TestActionPreActionScript" : { + "p" : "$(inherited)" + } + }, + "projectName" : "Mediapipe", + "sourceFilters" : [ + "mediapipe", + "mediapipe/calculators", + "mediapipe/calculators/core", + "mediapipe/calculators/image", + "mediapipe/calculators/internal", + "mediapipe/calculators/tflite", + "mediapipe/calculators/util", + "mediapipe/examples", + "mediapipe/examples/ios", + "mediapipe/examples/ios/edgedetectiongpu", + "mediapipe/examples/ios/edgedetectiongpu/Base.lproj", + "mediapipe/examples/ios/facedetectioncpu", + "mediapipe/examples/ios/facedetectioncpu/Base.lproj", + "mediapipe/examples/ios/facedetectiongpu", + "mediapipe/examples/ios/facedetectiongpu/Base.lproj", + "mediapipe/examples/ios/handdetectiongpu", + "mediapipe/examples/ios/handdetectiongpu/Base.lproj", + "mediapipe/examples/ios/handtrackinggpu", + "mediapipe/examples/ios/handtrackinggpu/Base.lproj", + "mediapipe/examples/ios/objectdetectioncpu", + "mediapipe/examples/ios/objectdetectioncpu/Base.lproj", + "mediapipe/examples/ios/objectdetectiongpu", + "mediapipe/examples/ios/objectdetectiongpu/Base.lproj", + "mediapipe/framework", + "mediapipe/framework/deps", + "mediapipe/framework/formats", + "mediapipe/framework/formats/annotation", + "mediapipe/framework/formats/object_detection", + "mediapipe/framework/port", + "mediapipe/framework/profiler", + "mediapipe/framework/stream_handler", + "mediapipe/framework/tool", + "mediapipe/gpu", + "mediapipe/graphs", + "mediapipe/graphs/edge_detection", + "mediapipe/graphs/face_detection", + "mediapipe/graphs/hand_tracking", + "mediapipe/graphs/object_detection", + "mediapipe/models", + "mediapipe/objc", + "mediapipe/util", + "mediapipe/util/android", + "mediapipe/util/android/file", + "mediapipe/util/android/file/base", + "mediapipe/util/tflite", + "mediapipe/util/tflite/operations" + ] +} diff --git a/mediapipe/MediaPipe.tulsiproj/project.tulsiconf b/mediapipe/MediaPipe.tulsiproj/project.tulsiconf new file mode 100644 index 000000000..bb40e553a --- /dev/null +++ b/mediapipe/MediaPipe.tulsiproj/project.tulsiconf @@ -0,0 +1,24 @@ +{ + "configDefaults" : { + "optionSet" : { + "CLANG_CXX_LANGUAGE_STANDARD" : { + "p" : "c++14" + } + } + }, + "packages" : [ + "", + "mediapipe", + "mediapipe/objc", + "mediapipe/examples/ios", + "mediapipe/examples/ios/edgedetectiongpu", + "mediapipe/examples/ios/facedetectioncpu", + "mediapipe/examples/ios/facedetectiongpu", + "mediapipe/examples/ios/handdetectiongpu", + "mediapipe/examples/ios/handtrackinggpu", + "mediapipe/examples/ios/objectdetectioncpu", + "mediapipe/examples/ios/objectdetectiongpu" + ], + "projectName" : "Mediapipe", + "workspaceRoot" : "../.." +} diff --git a/mediapipe/docs/examples.md b/mediapipe/docs/examples.md index b31a995c3..8c5b7b491 100644 --- a/mediapipe/docs/examples.md +++ b/mediapipe/docs/examples.md @@ -30,8 +30,8 @@ detection example. use MediaPipe with a TFLite model for object detection in a GPU-accelerated pipeline. -* [Android](./object_detection_mobile_gpu.md#android) -* [iOS](./object_detection_mobile_gpu.md#ios) +* [Android](./object_detection_mobile_gpu.md) +* [iOS](./object_detection_mobile_gpu.md) ### Object Detection with CPU @@ -48,24 +48,24 @@ The selfie face detection TFLite model is based on and model details are described in the [model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq). -* [Android](./face_detection_mobile_gpu.md#android) -* [iOS](./face_detection_mobile_gpu.md#ios) +* [Android](./face_detection_mobile_gpu.md) +* [iOS](./face_detection_mobile_gpu.md) ### Hand Detection with GPU [Hand Detection with GPU](./hand_detection_mobile_gpu.md) illustrates how to use MediaPipe with a TFLite model for hand detection in a GPU-accelerated pipeline. -* [Android](./hand_detection_mobile_gpu.md#android) -* [iOS](./hand_detection_mobile_gpu.md#ios) +* [Android](./hand_detection_mobile_gpu.md) +* [iOS](./hand_detection_mobile_gpu.md) ### Hand Tracking with GPU [Hand Tracking with GPU](./hand_tracking_mobile_gpu.md) illustrates how to use MediaPipe with a TFLite model for hand tracking in a GPU-accelerated pipeline. -* [Android](./hand_tracking_mobile_gpu.md#android) -* [iOS](./hand_tracking_mobile_gpu.md#ios) +* [Android](./hand_tracking_mobile_gpu.md) +* [iOS](./hand_tracking_mobile_gpu.md) ### Hair Segmentation with GPU @@ -76,7 +76,7 @@ pipeline. The selfie hair segmentation TFLite model is based on and model details are described in the [model card](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation#h.p_NimuO7PgHxlY). -* [Android](./hair_segmentation_mobile_gpu.md#android) +* [Android](./hair_segmentation_mobile_gpu.md) ## Desktop diff --git a/mediapipe/docs/framework_concepts.md b/mediapipe/docs/framework_concepts.md index 86d91e7be..69be7fed5 100644 --- a/mediapipe/docs/framework_concepts.md +++ b/mediapipe/docs/framework_concepts.md @@ -208,8 +208,8 @@ of a MediaPipe graph. In the specification, a node in the graph represents an instance of a particular calculator. All the necessary configurations of the node, such its type, inputs and outputs must be described in the specification. Description of the node can also include several optional fields, such as -node-specific options, input policy and executor, discussed in Section -[Framework Concepts > Scheduling mechanics](scheduling_sync.md#scheduling-mechanics). +node-specific options, input policy and executor, discussed in +[Framework Architecture](scheduling_sync.md). `GraphConfig` has several other fields to configure the global graph-level settings, eg, graph executor configs, number of threads, and maximum queue size diff --git a/mediapipe/docs/hand_detection_mobile_gpu.md b/mediapipe/docs/hand_detection_mobile_gpu.md index aee637570..0b8c52ee5 100644 --- a/mediapipe/docs/hand_detection_mobile_gpu.md +++ b/mediapipe/docs/hand_detection_mobile_gpu.md @@ -58,8 +58,9 @@ The hand detection [main graph](#main-graph) internally utilizes a [hand detection subgraph](#hand-detection-subgraph). The subgraph shows up in the main graph visualization as the `HandDetection` node colored in purple, and the subgraph itself can also be visualized just like a regular graph. For more -information on how to visualize a graph that includes subgraphs, see -[visualizing subgraphs](./visualizer.md#visualizing-subgraphs). +information on how to visualize a graph that includes subgraphs, see the +Visualizing Subgraphs section in the +[visualizer documentation](./visualizer.md). ### Main Graph diff --git a/mediapipe/docs/hand_tracking_mobile_gpu.md b/mediapipe/docs/hand_tracking_mobile_gpu.md index 4d8ff4e0d..d98eb0671 100644 --- a/mediapipe/docs/hand_tracking_mobile_gpu.md +++ b/mediapipe/docs/hand_tracking_mobile_gpu.md @@ -22,6 +22,15 @@ performed only within the hand rectangle for computational efficiency and accuracy, and hand detection is only invoked when landmark localization could not identify hand presence in the previous iteration. +The example also comes with an experimental mode that localizes hand landmarks +in 3D (i.e., estimating an extra z coordinate): + +![hand_tracking_3d_android_gpu.gif](images/mobile/hand_tracking_3d_android_gpu.gif) + +In the visualization above, the localized hand landmarks are represented by dots +in different shades, with the brighter ones denoting landmarks closer to the +camera. + ## Android Please see [Hello World! in MediaPipe on Android](hello_world_android.md) for @@ -35,6 +44,12 @@ To build the app, run: bazel build -c opt --config=android_arm64 mediapipe/examples/android/src/java/com/google/mediapipe/apps/handtrackinggpu ``` +To build for the experimental mode that localizes hand landmarks in 3D, run: + +```bash +bazel build -c opt --config=android_arm64 --define 3D=true mediapipe/examples/android/src/java/com/google/mediapipe/apps/handtrackinggpu +``` + To further install the app on an Android device, run: ```bash @@ -56,6 +71,12 @@ Specific to this example, run: bazel build -c opt --config=ios_arm64 mediapipe/examples/ios/handtrackinggpu:HandTrackingGpuApp ``` +To build for the experimental mode that localizes hand landmarks in 3D, run: + +```bash +bazel build -c opt --config=ios_arm64 --define 3D=true mediapipe/examples/ios/handtrackinggpu:HandTrackingGpuApp +``` + ## Graph The hand tracking [main graph](#main-graph) internally utilizes a @@ -66,7 +87,8 @@ The hand tracking [main graph](#main-graph) internally utilizes a The subgraphs show up in the main graph visualization as nodes colored in purple, and the subgraph itself can also be visualized just like a regular graph. For more information on how to visualize a graph that includes subgraphs, -see [visualizing subgraphs](./visualizer.md#visualizing-subgraphs). +see the Visualizing Subgraphs section in the +[visualizer documentation](./visualizer.md). ### Main Graph diff --git a/mediapipe/docs/hello_world_android.md b/mediapipe/docs/hello_world_android.md index e44ae92d2..5fc12e5df 100644 --- a/mediapipe/docs/hello_world_android.md +++ b/mediapipe/docs/hello_world_android.md @@ -20,8 +20,8 @@ stream on an Android device. 1. Install MediaPipe on your system, see [MediaPipe installation guide] for details. -2. Install Android Development SDK and Android NDK. See how to do so in - [Setting up Android SDK and NDK]. +2. Install Android Development SDK and Android NDK. See how to do so also in + [MediaPipe installation guide]. 3. Enable [developer options] on your Android device. 4. Setup [Bazel] on your system to build and deploy the Android app. @@ -728,7 +728,6 @@ If you ran into any issues, please see the full code of the tutorial [`FrameProcessor`]:https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/FrameProcessor.java [MediaPipe installation guide]:./install.md [`PermissionHelper`]: https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/PermissionHelper.java -[Setting up Android SDK and NDK]:./install.md#setting-up-android-sdk-and-ndk [`SurfaceHolder.Callback`]:https://developer.android.com/reference/android/view/SurfaceHolder.Callback.html [`SurfaceView`]:https://developer.android.com/reference/android/view/SurfaceView [`SurfaceView`]:https://developer.android.com/reference/android/view/SurfaceView diff --git a/mediapipe/docs/hello_world_ios.md b/mediapipe/docs/hello_world_ios.md index c79dac57f..261251a4e 100644 --- a/mediapipe/docs/hello_world_ios.md +++ b/mediapipe/docs/hello_world_ios.md @@ -183,6 +183,8 @@ bazel build -c opt --config=ios_arm64 mediapipe/examples/ios/edgedetectiongpu:Ed Then, go back to XCode, open Window > Devices and Simulators, select your device, and add the `.ipa` file generated by the command above to your device. +Here is the document on [setting up and compiling](./mediapipe_ios_setup.md) iOS +MediaPipe apps. Open the application on your device. 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+Requirements: + +* Android SDK release 28.0.3 and above. +* Android NDK r17c and above. + +MediaPipe recommends setting up Android SDK and NDK via Android Studio, and see +[next section](#setting-up-android-studio-with-mediapipe) for Android Studio +setup. However, if you prefer using MediaPipe without Android Studio, please run +[`setup_android_sdk_and_ndk.sh`] to download and setup Android SDK and NDK +before building any Android example apps. + +If Android SDK and NDK are already installed (e.g., by Android Studio), set +$ANDROID_HOME and $ANDROID_NDK_HOME to point to the installed SDK and NDK. + +```bash +export ANDROID_HOME= +export ANDROID_NDK_HOME= +``` + +Please verify all the necessary packages are installed. + +* Android SDK Platform API Level 28 or 29 +* Android SDK Build-Tools 28 or 29 +* Android SDK Platform-Tools 28 or 29 +* Android SDK Tools 26.1.1 +* Android NDK 17c or above + ### Setting up Android Studio with MediaPipe -The steps below use Android Studio to build and install a MediaPipe demo app. +The steps below use Android Studio to build and install a MediaPipe example app. -1. Install and launch android studio. +1. Install and launch Android Studio. -2. Select `Configure` | `SDK Manager` | `SDK Platforms` +2. Select `Configure` | `SDK Manager` | `SDK Platforms`. - * Verify that Android SDK Platform API Level 28 or 29 is installed - * Note the Android SDK Location such as `/usr/local/home/Android/Sdk` + * Verify that Android SDK Platform API Level 28 or 29 is installed. + * Take note of the Android SDK Location, e.g., + `/usr/local/home/Android/Sdk`. -3. Select `Configure` | `SDK Manager` | `SDK Tools` +3. Select `Configure` | `SDK Manager` | `SDK Tools`. - * Verify that Android SDK Build-Tools 28 or 29 is installed - * Verify that Android SDK Platform-Tools 28 or 29 is installed - * Verify that Android SDK Tools 26.1.1 is installed - * Verify that Android NDK 17c or above is installed - * Note the Android NDK Location such as `/usr/local/home/Android/Sdk/ndk-bundle` + * Verify that Android SDK Build-Tools 28 or 29 is installed. + * Verify that Android SDK Platform-Tools 28 or 29 is installed. + * Verify that Android SDK Tools 26.1.1 is installed. + * Verify that Android NDK 17c or above is installed. + * Take note of the Android NDK Location, e.g., + `/usr/local/home/Android/Sdk/ndk-bundle`. -4. Set environment variables `$ANDROID_HOME` and `$ANDROID_NDK_HOME` to point to - the installed SDK and NDK. +4. Set environment variables `$ANDROID_HOME` and `$ANDROID_NDK_HOME` to point + to the installed SDK and NDK. ```bash export ANDROID_HOME=/usr/local/home/Android/Sdk @@ -521,44 +546,21 @@ The steps below use Android Studio to build and install a MediaPipe demo app. 5. Select `Configure` | `Plugins` install `Bazel`. -6. Select `Import Bazel Project` +6. Select `Import Bazel Project`. - * Select `Workspace`: `/path/to/mediapipe` - * Select `Generate from BUILD file`: `/path/to/mediapipe/BUILD` - * Select `Finish` + * Select `Workspace`: `/path/to/mediapipe`. + * Select `Generate from BUILD file`: `/path/to/mediapipe/BUILD`. + * Select `Finish`. -7. Connect an android device to the workstation. +7. Connect an Android device to the workstation. -8. Select `Run...` | `Edit Configurations...` +8. Select `Run...` | `Edit Configurations...`. * Enter Target Expression: `//mediapipe/examples/android/src/java/com/google/mediapipe/apps/facedetectioncpu` * Enter Bazel command: `mobile-install` * Enter Bazel flags: `-c opt --config=android_arm64` select `Run` -### Setting up Android SDK and NDK - -If Android SDK and NDK are installed (likely by Android Studio), please set -$ANDROID_HOME and $ANDROID_NDK_HOME to point to the installed SDK and NDK. - -```bash -export ANDROID_HOME= -export ANDROID_NDK_HOME= -``` - -Please verify all the necessary packages are installed - -* Android SDK Platform API Level 28 or 29 -* Android SDK Build-Tools 28 or 29 -* Android SDK Platform-Tools 28 or 29 -* Android SDK Tools 26.1.1 -* Android NDK 17c or above - -MediaPipe prefers to use the Android SDK and NDK from Android Studio. See -[the previous section](#setting-up-android-studio-with-mediapipe) for the -Android Studio setup. If you prefer to try MediaPipe without Android Studio, please run [`setup_android_sdk_and_ndk.sh`] to download and setup Android SDK and NDK for -MediaPipe before building any Android demos. - [`WORKSAPCE`]: https://github.com/google/mediapipe/tree/master/WORKSPACE [`opencv_linux.BUILD`]: https://github.com/google/mediapipe/tree/master/third_party/opencv_linux.BUILD [`setup_opencv.sh`]: https://github.com/google/mediapipe/tree/master/setup_opencv.sh diff --git a/mediapipe/docs/mediapipe_ios_setup.md b/mediapipe/docs/mediapipe_ios_setup.md index ecddae1d3..8cbedcac5 100644 --- a/mediapipe/docs/mediapipe_ios_setup.md +++ b/mediapipe/docs/mediapipe_ios_setup.md @@ -28,6 +28,29 @@ ln -s ~/Downloads/MyProvisioningProfile.mobileprovision mediapipe/provisioning_profile.mobileprovision ``` +## Creating an Xcode project + +1. We will use a tool called [Tulsi](https://tulsi.bazel.build/) for generating Xcode projects from Bazel + build configurations. + + ```bash + git clone https://github.com/bazelbuild/tulsi.git + cd tulsi + sh build_and_run.sh + ``` + + This will install Tulsi.app inside the Applications directory inside your + home directory. + +2. Open `mediapipe/Mediapipe.tulsiproj` using the Tulsi app. + +3. Select the MediaPipe config in the Configs tab, then press the Generate + button below. You will be asked for a location to save the Xcode project. + Once the project is generated, it will be opened in Xcode. + +4. You can now select any of the MediaPipe demos in the target menu, and build + and run them as normal. + ## Building an iOS app from the command line 1. Build one of the example apps for iOS. We will be using the diff --git a/mediapipe/docs/troubleshooting.md b/mediapipe/docs/troubleshooting.md index f1069a642..62ef8c6c3 100644 --- a/mediapipe/docs/troubleshooting.md +++ b/mediapipe/docs/troubleshooting.md @@ -55,7 +55,7 @@ running MediaPipe graph. This can occur for a number of reasons, such as: For problem (1), it may be necessary to drop some old packets in older to process the more recent packets. For some hints, see: -[How to process realtime input streams](how_to_questions.md#how-to-process-realtime-input-streams) +[How to process realtime input streams](how_to_questions.md). For problem (2), it could be that one input stream is lacking packets for some reason. A device or a calculator may be misconfigured or may produce packets @@ -63,7 +63,7 @@ only sporadically. This can cause downstream calculators to wait for many packets that will never arrive, which in turn causes packets to accumulate on some of their input streams. MediaPipe addresses this sort of problem using "timestamp bounds". For some hints see: -[How to process realtime input streams](how_to_questions.md#how-to-process-realtime-input-streams) +[How to process realtime input streams](how_to_questions.md). The MediaPipe setting [`CalculatorGraphConfig::max_queue_size`] limits the number of packets enqueued on any input stream by throttling inputs to the @@ -129,7 +129,7 @@ streams, then latency will continue to increase, and it becomes necessary to drop some input packets. The recommended technique is to use the MediaPipe calculators designed specifically for this purpose such as [`FlowLimiterCalculator`] as described in -[How to process realtime input streams](how_to_questions.md#how-to-process-realtime-input-streams). +[How to process realtime input streams](how_to_questions.md). [`CalculatorGraphConfig`]: https://github.com/google/mediapipe/tree/master/mediapipe/framework/calculator.proto [`CalculatorGraphConfig::max_queue_size`]: https://github.com/google/mediapipe/tree/master/mediapipe/framework/calculator.proto diff --git a/mediapipe/docs/visualizer.md b/mediapipe/docs/visualizer.md index 275feb10f..86cbfe1e6 100644 --- a/mediapipe/docs/visualizer.md +++ b/mediapipe/docs/visualizer.md @@ -1,7 +1,8 @@ ## Visualizing MediaPipe Graphs -- [Working within the editor](#working-within-the-editor) -- [Understanding the graph](#understanding-the-graph) +- [Working within the Editor](#working-within-the-editor) +- [Understanding the Graph](#understanding-the-graph) +- [Visualizing Subgraphs](#visualizing-subgraphs) To help users understand the structure of their calculator graphs and to understand the overall behavior of their machine learning inference pipelines, @@ -12,20 +13,20 @@ that is available online. through a graph configuration that is pasted into the graph editor or uploaded. The user can visualize and troubleshoot a graph they have created. - ![Startup screen](./images/startup_screen.png){width="800"} + ![Startup screen](./images/startup_screen.png) -### Working within the editor +### Working within the Editor Getting Started: The graph can be modified by adding and editing code in the Editor view. -![Editor UI](./images/editor_view.png){width="600"} +![Editor UI](./images/editor_view.png) * Pressing the "New" button in the upper right corner will clear any existing code in the Editor window. - ![New Button](./images/upload_button.png){width="300"} + ![New Button](./images/upload_button.png) * Pressing the "Upload" button will prompt the user to select a local PBTXT file, which will everwrite the current code within the editor. @@ -34,7 +35,7 @@ The graph can be modified by adding and editing code in the Editor view. * Errors and informational messages will appear in the Feedback window. - ![Error Msg](./images/console_error.png){width="400"} + ![Error Msg](./images/console_error.png) ### Understanding the Graph @@ -44,39 +45,54 @@ The visualizer graph shows the connections between calculator nodes. enter the top of any calculator receiving the stream. (Notice the use of the key, "input_stream" and "output_stream"). - ![Stream UI](./images/stream_ui.png){width="350"} - ![Stream_code](./images/stream_code.png){width="350"} + ![Stream UI](./images/stream_ui.png) + + ![Stream_code](./images/stream_code.png) * Sidepackets work the same, except that they exit a node on the right and enter on the left. (Notice the use of the key, "input_side_packet" and "output_side_packet"). - ![Sidepacket UI](./images/side_packet.png){width="350"} - ![Sidepacket_code](./images/side_packet_code.png){width="350"} + ![Sidepacket UI](./images/side_packet.png) + + ![Sidepacket_code](./images/side_packet_code.png) * There are special nodes that represent inputs and outputs to the graph and can supply either side packets or streams. - ![Special nodes](./images/special_nodes.png){width="350"} - ![Special nodes](./images/special_nodes_code.png){width="350"} + ![Special nodes](./images/special_nodes.png) -### Visualizing subgraphs + ![Special nodes](./images/special_nodes_code.png) -The MediaPipe visualizer can display multiple graphs. If a graph has a name (designated by assigning a string to the "type" field in the top level of the graph's proto file) and that name is used as a calculator name in a separate graph, it is considered a subgraph and colored appropriately where it is used. Clicking on a subgraph will navigate to the corresponding tab which holds the subgraph's definition. In this example, for hand detection GPU we have 2 pbtxt files: -[hand_detection_mobile.pbtxt](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/hand_tracking/hand_detection_mobile.pbtxt) -and its associated [subgraph](./framework_concepts.md#subgraph) called -[hand_detection_gpu.pbtxt](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/hand_tracking/hand_detection_gpu.pbtxt) +### Visualizing Subgraphs -* In the default MediaPipe visualizer, click on upload graph button and select - the 2 pbtxt files to visualize (main graph and all its associated subgraphs) +The MediaPipe visualizer can display multiple graphs in separate tabs. If a +graph has a `type` field in the top level of the graph's text proto definition, +and that value of graph `type` is used as a calculator name in another graph, it +is considered a subgraph by the visualizer and colored appropriately where it is +used. Clicking on a subgraph will navigate to the corresponding tab which holds +the subgraph's definition. - ![Upload graph button](./images/upload_button.png){width="250"} +For instance, there are two graphs involved in the +[hand detection example](./hand_detection_mobile_gpu.md): the main graph +([source pbtxt file](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/hand_tracking/hand_detection_mobile.pbtxt)) +and its associated subgraph +([source pbtxt file](https://github.com/google/mediapipe/tree/master/mediapipe/graphs/hand_tracking/hand_detection_gpu.pbtxt)). +To visualize them: - ![Choose the 2 files](./images/upload_2pbtxt.png){width="400"} +* In the MediaPipe visualizer, click on the upload graph button and select the + 2 pbtxt files to visualize (main graph and its associated subgraph). -* You will see 3 tabs. The main graph tab is `hand_detection_mobile.pbtxt` - ![hand_detection_mobile_gpu.pbtxt](./images/maingraph_visualizer.png){width="1500"} + ![Upload graph button](./images/upload_button.png) -* Click on the subgraph block in purple `Hand Detection` and the - `hand_detection_gpu.pbtxt` tab will open - ![Hand detection subgraph](./images/click_subgraph_handdetection.png){width="1500"} + ![Choose the 2 files](./images/upload_2pbtxt.png) + +* There will be 2 additional tabs. The main graph tab is + `hand_detection_mobile.pbtxt`. + + ![hand_detection_mobile_gpu.pbtxt](./images/maingraph_visualizer.png) + +* Clicking on the `HandDetection` node in purple redirects the view to the + `hand_detection_gpu.pbtxt` tab. + + ![Hand detection subgraph](./images/click_subgraph_handdetection.png) diff --git a/mediapipe/models/hand_landmark_3d.tflite b/mediapipe/models/hand_landmark_3d.tflite index 8ca1c3d0ab901dfc3aa97168332b379f0ae0b6d3..1f7ebbb0ca00542e76be0f20aae8bc33057434a4 100644 GIT binary patch literal 5565228 zcmXWic{~;0|G@DfTZqV3StBY@5_c|l-sd7xiLzDNOVVE2cNNlxB-ui?&_a?sxN}BA zWJ#rxN`*=#Z9dw>?|dJR-yg5X)BWc@%$>Ps=FT~zL{XHln}@CDg)2i^pF6iV7b3MMTf%_Geq(WJ>FW0Dq0i8P={ zQC~@2q*hV`se)8Y$|a?cVn|`6J*17K6(nDhJ4r;EN-`tqkyJ?(sZW8Tx=Alc&7>+4 zOS(!*C&iH>Ne4(J)J19~HIOPu#iU$P3MqyZM%qK#NLoSiCApJC zq^Tq`k{(HwM3MT)4(lepAT^V!NG$0pDV-EYiX@x}0A z)MjGqEO}}dvBg84Iz()~AWuaQ8Qp~5E=HXi zB*r{frxe6jhEBJuQ)JfgT=a(KQYinms&<#5v5B75tp3Rr8W~6J{V2yBKo$BrVbJ38I7SLh#up{ 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