mediapipe | customizable ML solutions for live and streaming media | Machine Learning library
kandi X-RAY | mediapipe Summary
kandi X-RAY | mediapipe Summary
See also MediaPipe Models and Model Cards for ML models released in MediaPipe.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mediapipe
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mediapipe Examples and Code Snippets
Lines of Code : 202License : Permissive (Apache-2.0)
Copy# Autoflip graph that only renders the final cropped video. For use with
# end user applications.
max_queue_size: -1
# VIDEO_PREP: Decodes an input video file into images and a video header.
node {
calculator: "OpenCvVideoDecoderCalculator"
inpu // For camera input and result rendering with OpenGL.
FaceDetectionOptions faceDetectionOptions =
FaceDetectionOptions.builder()
.setStaticImageMode(false)
.setModelSelection(0).build();
FaceDetection faceDetection = new FaceDetec // This takes packets from N+1 streams, A_1, A_2, ..., A_N, B.
// For every packet that appears in B, outputs the most recent packet from each
// of the A_i on a separate stream.
#include
#include "absl/strings/str_cat.h"
#include "mediapipe/frame # Copyright 2022 The MediaPipe Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http # Copyright 2022 The MediaPipe Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http # Copyright 2022 The MediaPipe Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http import pickle
orig_stored_data = [[(181, 95), (170, 87)], [(20, 40), (30, 50)]]
f_pickle = open("stored_data.pkl", "wb")
pickle.dump(orig_stored_data, f_pickle)
f_pickle = open("stored_data.pkl", "rb")
new_stored_data = pickle.load(f_pi with mp_pose.Pose(
static_image_mode=static_image_mode,
model_complexity=model_complexity,
enable_segmentation=enable_segmentation,
min_detection_confidence=min_detection_confidence,
smooth_landm
CAM \____/ python code GIL-awaiting ~ 100 [ms] chopping
|::| python code calling a cv2.()
|::| __________________________________________-----!!for id, lm in enumerate(results.pose_landmarks.landmark):
if not id == 25:
continue
...
Community Discussions
Trending Discussions on mediapipe
QUESTION
I am trying to run this HTML example https://codepen.io/mediapipe/details/KKgVaPJ from https://google.github.io/mediapipe/solutions/face_mesh#javascript-solution-api in a create react application. I have already done:
- npm install of all the facemesh mediapipe packages.
- Already replaced the jsdelivr tags with node imports and I got the definitions and functions.
- Replaced the video element with react-cam
I don't know how to replace this jsdelivr, maybe is affecting:
...ANSWER
Answered 2021-Jun-07 at 14:59You don't have to replace the jsdelivr, that piece of code is fine; also I think you need to reorder your code a little bit:
- You should put the faceMesh initialization inside the useEffect, with [] as parameter; therefore, the algorithm will start when the page is rendered for the first time
- Also, you don't need to get videoElement and canvasElement with doc.*, because you already have some refs defined
An example of code:
QUESTION
I have written the following web app to perform pose detection on two videos. The idea is to, say, give a benchmark video in the first and a user video (either a pre-recorded one or their webcam feed) in the second, and compare the movements of the two.
...ANSWER
Answered 2021-Jun-06 at 17:45For a task that requires real time updates like your pose estimation, I would recommend using websockets for communication. Here is a small example where a Quart server streams the data via websockets to a Dash frontend,
QUESTION
I try to install MediaPipe on Windows, but it doesn't work. What can I do now?
The command line used to start the installation with my user´s profile directory being the current directory:
...ANSWER
Answered 2021-May-24 at 01:28mediapipe doesn't support 32-bit python; all of the wheels are for 64-bit python.
QUESTION
I am trying to build a shared library using bazel (mediapipe) and linking dependencies without sources or headers fails to include the dependency symbols.
Here is sorta psudo code example
...ANSWER
Answered 2021-May-15 at 03:12Unix linkers traditionally drop symbols that are not required by the top-level target (i.e., code in "library.so" cc_binary). Bazel will ask the linker to forcefully include all code in a cc_library rule in the final top-level link if alwayslink = True is set on it.
QUESTION
I am trying to write a code where i have a list of vectors and Ι have to find the angle between every vector and the rest of them.(I am working on mediapipe's hand landmarks). My code so far is this one:
...ANSWER
Answered 2021-May-02 at 15:55I think you can iterate through the list indices (using range(len(vectors) - 1)) and access the elements through their indices instead of looping through each element
QUESTION
Traceback (most recent call last): File "c:\Users\Ahmed\Desktop\app.py", line 3, in import mediapipe as mp File "c:\Users\Ahmed\Desktop\mediapipe.py", line 3, in mp_drawing = mp.solutions.drawing_utils AttributeError: partially initialized module 'mediapipe' has no attribute 'solutions' (most likely due to a circular import)
...ANSWER
Answered 2021-May-01 at 17:40Try not to utilize module name as your document name. Here I can see you have c:\Users\Ahmed\Desktop\mediapipe.py. Rename it to another name mediapipe is a module name
QUESTION
I'm working on a face tracking app (Android studio / Java) and I need to identify face landmarks. I'm interested using Mediapipe face mesh model. The problem is: I use Windows OS, and Mediapipe is not working on Windows OS.
I have very basic knowledge in Tensorflow, Can anybody explain to me how can i use Mediapipe's face_landmark.tflite model to detect faces in images and generate face mesh in Android studio with Java independently without the whole Mediapipe framework?
...ANSWER
Answered 2021-Apr-15 at 12:13You can try look into my notebook below for usage example in python. This only needs tflite model and does not require Mediapipe installation.
This is the output image,
This should give a starting point to use android tflite interpreter to get face landmarks and draw them. It will require a face detector such as blazeface to output the face bounding box first.
As I have not implemented this model in android yet I cannot say what else may be needed. Further details may be found in mediapipe face mesh codes. The notebook is based on this code,
MediaPipe TensorflowLite Iris Model
https://github.com/shortcipher3/stackoverflow/blob/master/mediapipe_iris_2d_landmarks.ipynb
Further references,
https://github.com/google/mediapipe/blob/master/mediapipe/modules/face_landmark/face_landmark.tflite
https://google.github.io/mediapipe/solutions/face_mesh
Model card with input, output details,
https://drive.google.com/file/d/1QvwWNfFoweGVjsXF3DXzcrCnz-mx-Lha/view
Alternate optionAndroid ML Kit also has face landmarks with very good documentation and code example.
https://developers.google.com/ml-kit/vision/face-detection
https://developers.google.com/android/reference/com/google/mlkit/vision/face/package-summary
QUESTION
I installed this package: npm install @mediapipe/camera_utils
I would like to know how to find the contents of a package.
...ANSWER
Answered 2021-Apr-05 at 22:24A good trick I've found is to use the website npmfs.com instead of npmjs.com (just replace "s" with "f" in a package url).
Here're the contents of that particular package (per each version)
and here're the contents of camera_utils.js from the latest version:
QUESTION
I am using following code to detect hand landmarks using mediapipe
...ANSWER
Answered 2021-Mar-30 at 19:31- Before the
whileloop, determine the width and height each frame will be:
QUESTION
I made an Unity plugin for Android that uses MLKit. Everything works fine untill the MLKit pose detector is analyzing the image:
...ANSWER
Answered 2021-Mar-30 at 10:26This was happening because I literally didn't have the specified model file. Since I was using an AAR plugin, I had to download all the underlying dependencies into Unity's Assets/Plugins/Android using unity-jar-resolver. After I did so, I was experiencing a dependency collision, which forced me to delete that dependency ("com.google.mlkit:pose-detection:17.0.1-beta3"). In the end, it turned out that I had only a reference of "com.google.mlkit:pose-detection:17.0.1-beta3" in the Unity Plugin, not the whole contents.
As a workaround, I exported my project into Android Studio and added "com.google.mlkit:pose-detection:17.0.1-beta3" into Gradle. Everything works now.
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