PoseDetection
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Entry point to get a PoseDetector
for finding Pose
in a supplied
image.
A PoseDetector
is created via getClient(PoseDetectorOptionsBase)
. For example:
PoseDetector poseDetector = PoseDetection.getClient(options);
To perform pose
detection in an image, you first need to create an instance of InputImage
from a Bitmap
, ByteBuffer
, Image
etc.
See InputImage
documentation for more details. For example, the code below creates an InputImage
from a Bitmap
. InputImage image = InputImage.fromBitmap(bitmap, rotationDegrees);
Then the
code below can detect Pose
in the supplied InputImage
. Task<Pose> task = poseDetector.process(image);
task.addOnSuccessListener(...).addOnFailureListener(...);
Inherited Method Summary
From class java.lang.Object
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Last updated 2024-10-31 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-31 UTC."],[[["\u003cp\u003e\u003ccode\u003ePoseDetection\u003c/code\u003e provides an entry point to get a \u003ccode\u003ePoseDetector\u003c/code\u003e for finding human body poses in images.\u003c/p\u003e\n"],["\u003cp\u003eYou create a \u003ccode\u003ePoseDetector\u003c/code\u003e instance using \u003ccode\u003ePoseDetection.getClient(options)\u003c/code\u003e with desired configurations.\u003c/p\u003e\n"],["\u003cp\u003eTo detect poses, process an \u003ccode\u003eInputImage\u003c/code\u003e (created from a Bitmap, ByteBuffer, etc.) with the \u003ccode\u003ePoseDetector\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eRemember to call \u003ccode\u003ePoseDetector.close()\u003c/code\u003e to release resources when the detector is no longer needed.\u003c/p\u003e\n"],["\u003cp\u003eDetector initialization happens in the background and can be tracked with \u003ccode\u003ePoseDetector.getInitTask()\u003c/code\u003e.\u003c/p\u003e\n"]]],["`PoseDetection` is the entry point for obtaining a `PoseDetector`. A `PoseDetector` instance is created via `getClient(PoseDetectorOptionsBase)`. To detect poses, create an `InputImage` from sources like `Bitmap`. Use `poseDetector.process(image)` to start the detection, handling success or failure. `getClient` method creates a `PoseDetector` for image pose detection. Ensure `PoseDetector.close()` is called to release resources when the detector is no longer needed. Initialization work is backgrounded.\n"],null,["# PoseDetection\n\npublic class **PoseDetection** extends [Object](//developer.android.com/reference/java/lang/Object.html) \nEntry point to get a [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector)\nfor finding [Pose](/android/reference/com/google/mlkit/vision/pose/Pose) in a supplied\nimage.\n\nA [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector)\nis created via [getClient(PoseDetectorOptionsBase)](/android/reference/com/google/mlkit/vision/pose/PoseDetection#getClient(com.google.mlkit.vision.pose.PoseDetectorOptionsBase)). For example: \n\n PoseDetector poseDetector = PoseDetection.getClient(options); \n\nTo perform pose detection in an image, you first need to create an instance of [InputImage](/android/reference/com/google/mlkit/vision/common/InputImage) from a [Bitmap](//developer.android.com/reference/android/graphics/Bitmap.html), [ByteBuffer](//developer.android.com/reference/java/nio/ByteBuffer.html), [Image](//developer.android.com/reference/android/media/Image.html) etc. See [InputImage](/android/reference/com/google/mlkit/vision/common/InputImage) documentation for more details. For example, the code below creates an [InputImage](/android/reference/com/google/mlkit/vision/common/InputImage) from a [Bitmap](//developer.android.com/reference/android/graphics/Bitmap.html). \n\n InputImage image = InputImage.fromBitmap(bitmap, rotationDegrees); \n\nThen the code below can detect [Pose](/android/reference/com/google/mlkit/vision/pose/Pose) in the supplied [InputImage](/android/reference/com/google/mlkit/vision/common/InputImage). \n\n Task\u003cPose\u003e task = poseDetector.process(image);\n task.addOnSuccessListener(...).addOnFailureListener(...); \n\n### Public Method Summary\n\n|-------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector) | [getClient](/android/reference/com/google/mlkit/vision/pose/PoseDetection#getClient(com.google.mlkit.vision.pose.PoseDetectorOptionsBase))([PoseDetectorOptionsBase](/android/reference/com/google/mlkit/vision/pose/PoseDetectorOptionsBase) options) Creates an instance of [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector) that detects human body pose in a supplied image. |\n\n### Inherited Method Summary\n\nFrom class java.lang.Object \n\n|----------------------------------------------------------------------------|--------------------------------------------------------------------------------|\n| [Object](//developer.android.com/reference/java/lang/Object.html) | clone() |\n| boolean | equals([Object](//developer.android.com/reference/java/lang/Object.html) arg0) |\n| void | finalize() |\n| final [Class](//developer.android.com/reference/java/lang/Class.html)\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| [String](//developer.android.com/reference/java/lang/String.html) | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nPublic Methods\n--------------\n\n#### public static [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector)\n**getClient** ([PoseDetectorOptionsBase](/android/reference/com/google/mlkit/vision/pose/PoseDetectorOptionsBase) options)\n\nCreates an instance of [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector)\nthat detects human body pose in a supplied image.\n\nTo release the resources associated with a [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector),\nyou need to ensure that [PoseDetector.close()](/android/reference/com/google/mlkit/vision/pose/PoseDetector#close())\nis called on the resulting [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector)\ninstance once it will no longer be used.\n\nDetector initialization work is triggered in the background when the [PoseDetector](/android/reference/com/google/mlkit/vision/pose/PoseDetector)\ninstance is created. Optionally, you can use the [PoseDetector.getInitTask()](/android/reference/com/google/mlkit/vision/pose/PoseDetector#getInitTask())\nto track the initialization progress. The first [PoseDetector.process(InputImage)](/android/reference/com/google/mlkit/vision/pose/PoseDetector#process(com.google.mlkit.vision.common.InputImage)) or [PoseDetector.process(MlImage)](/android/reference/com/google/mlkit/vision/pose/PoseDetector#process(com.google.android.odml.image.MlImage)) call will wait for the initialization to be\nfinished."]]
