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Implement holistic landmarker example #355

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@st-vinhthai st-vinhthai commented Mar 22, 2024

Description

This pull request adds a new holistic landmarker API

Checklist

  • My code follows the code style of the project.
  • I have updated the documentation (if applicable).

Type of Change

Please check the relevant option below:

  • New feature (non-breaking change which adds functionality)

Screenshots

Screenshot_1711093566

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@PaulTR PaulTR mentioned this pull request Mar 25, 2024
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PaulTR commented Mar 25, 2024

UI comment: the peek window height should be adjusted. We don't need to show the inference time below the expanding arrow until the developer has expanded the bottom sheet.

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PaulTR commented Mar 25, 2024

UI: If the blendshapes option is off, let's hide the blendshapes '--' empty adapter

helperState.value?.minHandLandmarkThreshold ?: 0f
helperState.value =
helperState.value?.copy(
minHandLandmarkThreshold = ((currentLandmarkConfidence.toBigDecimal() + confidence.toBigDecimal()).toFloat()).coerceIn(
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Let's set all options to range from a minimum of 0.3f to a max of 0.9f.

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PaulTR commented Mar 25, 2024

Edit: just saw the email about the segmentation crash, so sending it to eng to verify.

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PaulTR commented Mar 25, 2024

Does this API support more than 1 person at a time? If so, we should give the dev an option to view 1-3 different poses.

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PaulTR commented Mar 25, 2024

@schmidt-sebastian I am seeing a lot of "Replacing 305 out of 305 node(s) with delegate (unknown) node, yielding 1 partitions for the whole graph." in our logs, though numbers vary. Is this expected? I also noticed pose detection completely fails if a face isn't detected (even when I lower the face detection threshold to 0)

)
}

fun setMinPoseLandmarkConfidence(confidence: Float) {
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Let's make sure we include comments for these functions to denote what they do. Similar to what we've done in other examples (https://github.com/googlesamples/mediapipe/blob/main/examples/pose_landmarker/android/app/src/main/java/com/google/mediapipe/examples/poselandmarker/PoseLandmarkerHelper.kt) so devs can read through comments along with the actual code.

private var categories: MutableList<Category?> = MutableList(52) { null }

fun updateResults(faceLandmarkerResult: HolisticLandmarkerResult? = null) {
categories = MutableList(52) { null }
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Let's only display the top three rather than all 52.

facePaint.strokeWidth = LANDMARK_STROKE_WIDTH
facePaint.style = Paint.Style.STROKE

handPaint.color =
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If we're making both hands the same color, the R.color value doesn't need to be 'right hand'

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@st-vinhthai st-vinhthai Apr 1, 2024

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I think it would be better if we separate left and right hand into two different colors, i have pushed commit to implement this.
Does this match with our expectations?

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That sounds good to me!

val currentLandmarkConfidence =
helperState.value?.minFacePresenceThreshold ?: 0f
helperState.value = helperState.value?.copy(
minFacePresenceThreshold = ((currentLandmarkConfidence.toBigDecimal() + confidence.toBigDecimal()).toFloat()).coerceIn(
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'set min facelandmarker confidence' shouldn't accept a delta - a set should set the value to whatever is passed to it. Let's only pass in the new value to these methods and set it rather than using the addition logic.

}
}

// Update UI after face have been detected. Extracts original
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Comment is a copy/paste from face landmarker. Should update to reflect what actually triggers the action.

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st-vinhthai commented Apr 1, 2024

Does this API support more than 1 person at a time? If so, we should give the dev an option to view 1-3 different poses.

@PaulTR I'm afraid not, our detecting API only return one person at a time.

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2 participants