posenet | Demo of Keypoint Detection trained on COCO Dataset | Computer Vision library
kandi X-RAY | posenet Summary
kandi X-RAY | posenet Summary
Demo of Keypoint Detection trained on COCO Dataset
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Top functions reviewed by kandi - BETA
- Crop an image
- Find the third point of a and b
- Get direction from src point
- Compute the affine transformation
- Get key points from input image
- Compute the max predictions for the given heatmap
- Transform coords to target coordinates
- Transform a point onto a point
- Update the configuration from a yaml file
- Helper function to update a dictionary
- Create a convolution layer
- Gets the configuration for deconvolution
- Create logger
- Get the name of the model
- Return a PoseResNet instance
- Generate a yaml configuration file
- Draws the points
posenet Key Features
posenet Examples and Code Snippets
Community Discussions
Trending Discussions on posenet
QUESTION
I'm attempting to create a networked program that draws using a specific part of the body using P5.js, and Posenet within ML5.js. I've successfully created the networked model which uses a live camera feed using createCapture(VIDEO) in setup as seen below
...ANSWER
Answered 2021-May-26 at 01:53There were are a couple of issues with your code, none of which were evident in what you included in your post:
- Missing call to
.bind(this)on callback function in pose.js
In your init function on the class declared in pose.js you pass the onVideoLoad function as a callback to createVideo. However the onVideoLoad function references this. Any time you are going to use this from a function you pass as a callback, you need to call .bind(this):
QUESTION
I have downloaded the tensorflowlite Posenet example for iOS from the official GitHub account
https://github.com/tensorflow/examples/tree/master/lite/examples/posenet/ios
I am able to run the example on the device but it gives the following error
2021-05-18 00:57:50.385071+0530 PoseNet[8112:3939417] Resizing Error: source image ratio and destination image ratio is different 2021-05-18 00:57:50.385531+0530 PoseNet[8112:3939417] Preprocessing failed 2021-05-18 00:57:50.385797+0530 PoseNet[8112:3939417] Cannot get inference result.
Has anyone faced this issues and how do we solve it?
...ANSWER
Answered 2021-May-17 at 21:31My solution is here.
Go to CVPixelBufferExtension.swift file.
Line 32: func resize(from source: CGRect, to size: CGSize) -> CVPixelBuffer? Please disable the following code.
QUESTION
I'm a beginner at using p5.js but I'm currently currently attempting to create a brush sketch like this ellipse brush
though using computer vision & posenet nose tracking (essentially a nose brush)
The problem is, while it doesn't state any errors, it doesn't work.
This is my code for the ellipse brush without posenet & camera vision
...ANSWER
Answered 2021-May-01 at 02:26You're shifting properly, but you forgot to clear the pg graphic, which is kind of like forgetting to put background(0) in your original sketch. So instead of drawing all the ellipses on a blank background, you're drawing them on top of the previous frame.
Adding pg.clear() anywhere in draw() after you display pg on the canvas (image(pg, ...)) and before you draw the ellipses (for (...) {... ellipse(nosePosition[i].x...)}) should do the trick. Here's where I put it:
QUESTION
I am using ml5's poseNet in the p5.js web editor to place a funky head image on the face of a user using the webcam. I would like the sketch to draw a warning sign (the image 'warning1.png' in the sketch files) when there is no one in the frame. The sketch can already log 'no one in the frame' when it detects 0 poses, but how can I draw the image warning1.png over the canvas when it's not written in the draw function but in the setup function?
...ANSWER
Answered 2021-Mar-20 at 15:57You could just create another global variable to keep track of whether the error is currently occuring or not. In gotPoses you can add an else statement to your if statement. And then you set your global variable true or false. In draw you use that same global variable to determine whether to show the image or not.
So:
let noPoseDetected = false;
in getPoses:
QUESTION
I'm drawing images on the canvas when noseX position (detected with webcam and ml5 poseNet model) hits a certain part of the canvas (eg noseX > 50). However I would like the image that is drawn to disappear again when the noseX position is not in the canvas area that triggers the appearance of that certain image. Same story goes for the noseX position indicator (black ellipse), it eventually draws a path/line where the noseX position has been but I just want it to be a dot that follows the noseX without leaving a trace. Here's my p5 sketch: https://editor.p5js.org/saskiasmith/sketches/Z57YsGRsH Many thanks!
...ANSWER
Answered 2021-Mar-10 at 11:39If you add another call of the background() function at the beginning of every draw() loop then it will clear the canvas every frame and get the effect you wanted
If you think about it, you're outputting these images and circles onto the screen but never telling the screen to clear, and that's what calling background() every frame will do
QUESTION
I am trying to create an Android app that uses TensorFlow Lite PoseNet for human pose estimation. The problem I have is that native memory slowly increases until it crashes. Even if I run the demo app it will crash on my S10 after about 20 minutes. I tried profiling it and I don't think it is a leak because if I code it so that the interpreter takes breaks then garbage collection is able to keep up.
I would like to have it do estimations at a rate of about 15 per second which seems to do very well for a few minutes. Is there a way to tune it to run longer or is that unrealistic for running on a device such as a Samsung S10?
...ANSWER
Answered 2021-Feb-24 at 04:00There was a memory leak in the Android PoseNet demo app that is not noticeable unless you enable window.addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON)
The PosenetActivity.kt captureSession!!.setRepeatingRequest was using a backgroundHandler which was holding a reference that was preventing native memory from getting cleaned up. The callback and handler is not needed for setRepeatingRequest. Changing this
QUESTION
I've been learning about PoseNet in order to use it in my health-related research work.
I was impressed how mobilenet enables to keep high accuracy while reducing CPU (or GPU/NPU) dependency by adapting few parameters where my questions sprouted.
I've noticed that in mobilenet official papers, there were two multipliers introduced: alpha and rho. I'll skip the explanation of both parameters.
I wonder what is each value of alpha and rho for the mobilenet for the newest PoseNet model. Also, I'm wondering if there is a guideline for parameters(especially alpha and rho) tuning, and how the values of both are set and validated before training the model.
Like, if the selected value of alpha is 0.5, I wonder why the value is better than 0.75 or 0.25 .
My questions are:
- What are the values of alpha and rho for mobilenet (the version used to train PoseNet)
- Why/how those numbers are selected/validated?
ANSWER
Answered 2021-Feb-17 at 08:10The one in the https://www.tensorflow.org/lite/models/pose_estimation/overview uses alpha=1.0. The alpha multiplies number of input/output channels for each convolutions, and for alpha=1.0, first convolution layer has 32 channels. Nevertheless there are PoseNets with other backbones, which you can easily try from TF.js example. https://github.com/tensorflow/tfjs-models/tree/master/posenet
rho value is somewhat more theoretical, and in the original paper it says
In practice we implicitly set ρ by setting the input resolution.
QUESTION
guys, I am new to Stackoverflow
A question about using Tensorflow lite in AS4.1
As I "new" -> "other" -> "tensorflow lite model" and import a new .tflite file
The project automatically generate a PosenetMobilenetFloat0751Metadata1.java file
Then "build" -> "Make project", it shows error:
package org.tensorflow.lite.support.metadata does not exist import org.tensorflow.lite.support.metadata.MetadataExtractor;
The error happens in PosenetMobilenetFloat0751Metadata1.java:
...ANSWER
Answered 2020-Dec-10 at 05:08I think you need to use implementation 'org.tensorflow:tensorflow-lite-metadata:0.1.0-rc2'. Could you please accept this as answer. Thank you.
QUESTION
I have downloaded a pre-trained PoseNet model for Tensorflow.js (tfjs) from Google, so its a json file.
However, I want to use it on Android, so I need the .tflite model. Although someone has 'ported' a similar model from tfjs to tflite here, I have no idea what model (there are many variants of PoseNet) they converted. I want to do the steps myself. Also, I don't want to run some arbitrary code someone uploaded into a file in stackOverflow:
Caution: Be careful with untrusted code—TensorFlow models are code. See Using TensorFlow Securely for details. Tensorflow docs
Does anyone know any convenient ways to do this?
...ANSWER
Answered 2020-Aug-28 at 08:01You can find out what tfjs format you have by looking in the json file. It often says "graph-model". The difference between them are here.
From tfjs graph model to SavedModel (more common)Use tfjs-to-tf by Patrick Levin.
QUESTION
Creating an app and want to stop Posenet when its job is done
...ANSWER
Answered 2020-Aug-03 at 11:15The posenet responds to detections in the video element. If you remove the video element the detection and callbacks will probably stop?
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You can use posenet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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