-
Sign Language Detector with OpenCV and Python: Hand Gesture Recognition
In this video, I am doing a video demonstration on a hand gesture recognition program using OpenCV and Python that can detect sign language gestures! ✋🤖
In this project, I did the following:
1. Set up OpenCV and Python for computer vision
2. Captured and processed real-time video input
3. Implemented machine learning for gesture recognition
4. Detected and interpreted sign language gestures
This project is ideal for anyone looking to explore the how technology can improve accessibility.
Be sure to like, comment, and subscribe for more AI projects and Python tutorials!
#OpenCV #Python #SignLanguage #HandGestureRecognition #ComputerVision #MachineLearning #PythonTutorial #AI #ImageProcessing #CodingForBeginners #learnpython
-------------------------------------------------------------...
published: 07 Aug 2024
-
WiSee: Wi-Fi signals enable gesture recognition throughout entire home
University of Washington computer scientists have developed gesture-recognition technology that brings this a step closer to reality. Researchers have shown it's possible to leverage Wi-Fi signals around us to detect specific movements without needing sensors on the human body or cameras. Project page: http://wisee.cs.washington.edu
published: 05 Jun 2013
-
Continuous Gesture Recognition with RGB Camera
Continuous Gesture Recognition with RGB Camera
published: 29 Jan 2023
-
Real-Time Hand Gesture Recognition with Mediapipe and Tensorflow | #python
Hello, Guys, I am Spidy. I am back with another video.
In this video, I am showing you how you can make a Hand Gesture Recognition project using OpenCV, Tensorflow, and Mediapipe.
Note - This Code is provided by this blog owner. You can download code from the blog, and you will get the written explanation there also. I am just sharing the blog here because I found it useful. The credit of this project goes to the original owner of this blog. I am just explaining the code.
Blog:- https://techvidvan.com/tutorials/hand-gesture-recognition-tensorflow-opencv/
My Github for free projects:- https://github.com/Spidy20
My store for buying paid project:- https://bit.ly/3hXSZxQ
In this store, you can download various mini projects & big projects at a lower rate.
Like the video & Subscribe channe...
published: 17 Oct 2021
-
Custom Hand Gesture Recognition with Hand Landmarks Using Google’s Mediapipe + OpenCV in Python
Hey what's up, y'all! In this video we'll take a look at a really cool GitHub repo that I found that allows us to easily train a Keras neural network to recognize our own custom hand gestures, and that runs flawlessly on a CPU. But there's more: I'll actually guide you through the entire process and explain the logic of how everything works behind the scenes too. We'll use Mediapipe for extracting hand landmarks (which runs a pipeline of TensorFlow neural nets under the hood), which will allow us to use relatively small training datasets for training on our new custom hand gestures.
GitHub repository (translated into English): https://github.com/kinivi/hand-gesture-recognition-mediapipe
Original GitHub repository (in Japanese) https://github.com/Kazuhito00/hand-gesture-recognition-using-...
published: 14 Mar 2022
-
Hand Gesture Recognition for Unity Demo
This is a demo for a tutorial series that covers training an object detector using the IceVision library and implementing the trained model in a Unity game engine project using OpenVINO.
Blog Posts
Part 1: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-1/
Part 2: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-2/
Part 3: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-3/
GitHub Repository: (https://github.com/cj-mills/icevision-openvino-unity-tutorial)
published: 11 Aug 2022
-
Real Time Sign Language Detection with Tensorflow Object Detection and Python | Deep Learning SSD
Language barriers are very much still a real thing.
We can take baby steps to help close that.
Speech to text and translators have made it a heap easier.
But what about for those that maybe don't speak or can't hear?
What about them?
Well...you can begin to use Tensorflow Object Detection and Python to help close that gap. And in this video, you'll learn how to take the first steps to doing just that! In this video, you'll learn how to build an end-to-end custom object detection model that allows you to translate sign language in real time.
In this video you’ll learn how to:
1. Collect images for deep learning using your webcam and OpenCV
2. Label images for sign language detection using LabelImg
3. Setup Tensorflow Object Detection pipeline configuration
4. Use transfer learning...
published: 05 Nov 2020
-
Real-Time Camera-Based Static Gesture Recognition using Convolutional Neural Networks
Computer vision and machine learning are rapidly growing fields of research, both of which have contributed much to the domain of gesture recognition. This project proposes a real-time gesture recognition system for static hand gestures using only commodity hardware found in almost all smartphones. This interaction enables users to trigger software functionality using a quick and natural form of human-computer interaction (HCI). The project splits the challenge of gesture recognition into two distinct components- hand segmentation and hand classification. Hand segmentation is achieved through a combination of background subtraction and skin-modelling techniques, where the input from a smartphone camera is transformed into a binary image. Segmenting the input into its most basic form reduce...
published: 19 Mar 2020
-
Blair Fleming Gets UNEXPECTED Surprise from Nevada Volleyball Team
Get ready for an unforgettable moment as Blair Fleming receives an UNEXPECTED surprise from the Nevada Volleyball Team! This heartwarming gesture showcases the true spirit of community support and athlete recognition. The Nevada Athletics team comes together to celebrate Blair's achievements, highlighting the importance of community athletes and their impact on the state sports scene. Witness the pride and excellence of Nevada Volleyball as they pay tribute to one of their own, demonstrating the values of team ambassadors and community champions. Don't miss this inspirational moment of athlete appreciation and recognition, as Blair Fleming takes center stage in this remarkable display of Nevada pride and community impact.
published: 17 Oct 2024
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Hand Tracking & Gesture Control With Raspberry Pi + OpenCV + Python
Full Article - https://core-electronics.com.au/tutorials/hand-identification-raspberry-pi.html
Identify and track every joint in the fingers of your human hands, live. Then use your human hands to send commands to control media software and GPIO attached hardware. All via a Raspberry Pi Single Board Computer.
Make sure to use the Previous Raspberry Pi 'Buster' OS with this Guide.
Related Information
Flashing 'Buster' OS onto a Raspberry Pi - https://core-electronics.com.au/tutorials/flash-buster-os-pi.html
Setting Up a Raspberry Pi as a Desktop - https://core-electronics.com.au/tutorials/dual-monitors-raspberry-pi-4.html
GlowBit Matrix 4x4 Guide - https://core-electronics.com.au/tutorials/glowbit/glowbit-matrix-4x4-python-and-micropython-guide.html
Face Tracking with Pan-...
published: 20 Dec 2021
0:56
Sign Language Detector with OpenCV and Python: Hand Gesture Recognition
In this video, I am doing a video demonstration on a hand gesture recognition program using OpenCV and Python that can detect sign language gestures! ✋🤖
In thi...
In this video, I am doing a video demonstration on a hand gesture recognition program using OpenCV and Python that can detect sign language gestures! ✋🤖
In this project, I did the following:
1. Set up OpenCV and Python for computer vision
2. Captured and processed real-time video input
3. Implemented machine learning for gesture recognition
4. Detected and interpreted sign language gestures
This project is ideal for anyone looking to explore the how technology can improve accessibility.
Be sure to like, comment, and subscribe for more AI projects and Python tutorials!
#OpenCV #Python #SignLanguage #HandGestureRecognition #ComputerVision #MachineLearning #PythonTutorial #AI #ImageProcessing #CodingForBeginners #learnpython
------------------------------------------------------------------------------------------------------------------------------------------------------------------
My Linkedin: https://www.linkedin.com/in/rishi-nalem/
My Instagram: https://www.instagram.com/rishinalem/
Youtube Channel: https://www.youtube.com/@programmingwithrishinalem
Github: https://github.com/pranayrishi
https://wn.com/Sign_Language_Detector_With_Opencv_And_Python_Hand_Gesture_Recognition
In this video, I am doing a video demonstration on a hand gesture recognition program using OpenCV and Python that can detect sign language gestures! ✋🤖
In this project, I did the following:
1. Set up OpenCV and Python for computer vision
2. Captured and processed real-time video input
3. Implemented machine learning for gesture recognition
4. Detected and interpreted sign language gestures
This project is ideal for anyone looking to explore the how technology can improve accessibility.
Be sure to like, comment, and subscribe for more AI projects and Python tutorials!
#OpenCV #Python #SignLanguage #HandGestureRecognition #ComputerVision #MachineLearning #PythonTutorial #AI #ImageProcessing #CodingForBeginners #learnpython
------------------------------------------------------------------------------------------------------------------------------------------------------------------
My Linkedin: https://www.linkedin.com/in/rishi-nalem/
My Instagram: https://www.instagram.com/rishinalem/
Youtube Channel: https://www.youtube.com/@programmingwithrishinalem
Github: https://github.com/pranayrishi
- published: 07 Aug 2024
- views: 15638
3:08
WiSee: Wi-Fi signals enable gesture recognition throughout entire home
University of Washington computer scientists have developed gesture-recognition technology that brings this a step closer to reality. Researchers have shown it'...
University of Washington computer scientists have developed gesture-recognition technology that brings this a step closer to reality. Researchers have shown it's possible to leverage Wi-Fi signals around us to detect specific movements without needing sensors on the human body or cameras. Project page: http://wisee.cs.washington.edu
https://wn.com/Wisee_Wi_Fi_Signals_Enable_Gesture_Recognition_Throughout_Entire_Home
University of Washington computer scientists have developed gesture-recognition technology that brings this a step closer to reality. Researchers have shown it's possible to leverage Wi-Fi signals around us to detect specific movements without needing sensors on the human body or cameras. Project page: http://wisee.cs.washington.edu
- published: 05 Jun 2013
- views: 401869
15:24
Real-Time Hand Gesture Recognition with Mediapipe and Tensorflow | #python
Hello, Guys, I am Spidy. I am back with another video.
In this video, I am showing you how you can make a Hand Gesture Recognition project using OpenCV, Tensor...
Hello, Guys, I am Spidy. I am back with another video.
In this video, I am showing you how you can make a Hand Gesture Recognition project using OpenCV, Tensorflow, and Mediapipe.
Note - This Code is provided by this blog owner. You can download code from the blog, and you will get the written explanation there also. I am just sharing the blog here because I found it useful. The credit of this project goes to the original owner of this blog. I am just explaining the code.
Blog:- https://techvidvan.com/tutorials/hand-gesture-recognition-tensorflow-opencv/
My Github for free projects:- https://github.com/Spidy20
My store for buying paid project:- https://bit.ly/3hXSZxQ
In this store, you can download various mini projects & big projects at a lower rate.
Like the video & Subscribe channel and comment down your review about it. Subscribe to Machine Learning Hub for more exciting videos.
Follow our community on Instagram for Video updates and ML-related Posts:- https://www.instagram.com/machine_learning_hub.ai
Donate us via Paypal: - https://www.paypal.com/paypalme/spidy1820
Buy Coffee for me:- https://www.buymeacoffee.com/spidy20
Android ML App Development:- https://www.youtube.com/playlist?list...
OpenCV Tutorials:- https://www.youtube.com/playlist?list...
ChatBot Development:- https://www.youtube.com/playlist?list...
Deep Learning Projects:- https://www.youtube.com/playlist?list...
Python Projects:- https://www.youtube.com/playlist?list...
Face Recognition Project:- https://www.youtube.com/playlist?list...
Food recognition WebApp using Flask:- https://www.youtube.com/playlist?list...
Flask Tutorial Playlist:- https://www.youtube.com/playlist?list...
Google News Web Scraping Tutorial:- https://youtu.be/HSimiUPsDEk
Wikipedia App using Python:- https://youtu.be/_kpKvcJ9vJI
Car Detection System:- https://www.youtube.com/playlist?list...
Create ML App from scratch:- https://www.youtube.com/playlist?list...
AI Playing Flappy Bird Full Tutorial:- https://www.youtube.com/playlist?list...
Mask RCNN full Playlist:- https://www.youtube.com/playlist?list...
Emotions Recognition Full Tutorials Playlist:- https://www.youtube.com/playlist?list...
Tensorflow Object Detection full Tutorial Playlist:- https://www.youtube.com/playlist?list...
Face Mask Detection using TF Object Detection API - https://www.youtube.com/playlist?list...
OpenPose Estimation Full tutorial:-
https://www.youtube.com/playlist?list...
Do follow me, comment down your opinion & suggestions.
Tell me if you didn't get anything.
I will be back with another python tricks & tips
Subscribe to our Channel & press the bell icon.
*Until that "Keep learning, Do more code!"*
*"Stay safe at home, keep coding"*
hand gesture recognition using OpenCV python, real-time hand gesture recognition python, hand gesture detection opencv python, hand gesture detection, hand gesture detection using ai, hand movement detection opencv python, mediapipe hand gesture recognition python, mediapipe hand gesture recognition, mediapipe hands, hand gesture recognition, hand gesture recognition project, gesture recognition, hand movement detection, hand recognition opencv python
"The video thumbnails were created using publicly available images from Google images and are used solely for thumbnail purposes. I do not claim ownership of these images. If you are the owner of any copyrighted content used in these thumbnails and want them removed or changed, please contact me and I will comply promptly. Thank you."
#python
#handgesturerecognition
#mediapipe
https://wn.com/Real_Time_Hand_Gesture_Recognition_With_Mediapipe_And_Tensorflow_|_Python
Hello, Guys, I am Spidy. I am back with another video.
In this video, I am showing you how you can make a Hand Gesture Recognition project using OpenCV, Tensorflow, and Mediapipe.
Note - This Code is provided by this blog owner. You can download code from the blog, and you will get the written explanation there also. I am just sharing the blog here because I found it useful. The credit of this project goes to the original owner of this blog. I am just explaining the code.
Blog:- https://techvidvan.com/tutorials/hand-gesture-recognition-tensorflow-opencv/
My Github for free projects:- https://github.com/Spidy20
My store for buying paid project:- https://bit.ly/3hXSZxQ
In this store, you can download various mini projects & big projects at a lower rate.
Like the video & Subscribe channel and comment down your review about it. Subscribe to Machine Learning Hub for more exciting videos.
Follow our community on Instagram for Video updates and ML-related Posts:- https://www.instagram.com/machine_learning_hub.ai
Donate us via Paypal: - https://www.paypal.com/paypalme/spidy1820
Buy Coffee for me:- https://www.buymeacoffee.com/spidy20
Android ML App Development:- https://www.youtube.com/playlist?list...
OpenCV Tutorials:- https://www.youtube.com/playlist?list...
ChatBot Development:- https://www.youtube.com/playlist?list...
Deep Learning Projects:- https://www.youtube.com/playlist?list...
Python Projects:- https://www.youtube.com/playlist?list...
Face Recognition Project:- https://www.youtube.com/playlist?list...
Food recognition WebApp using Flask:- https://www.youtube.com/playlist?list...
Flask Tutorial Playlist:- https://www.youtube.com/playlist?list...
Google News Web Scraping Tutorial:- https://youtu.be/HSimiUPsDEk
Wikipedia App using Python:- https://youtu.be/_kpKvcJ9vJI
Car Detection System:- https://www.youtube.com/playlist?list...
Create ML App from scratch:- https://www.youtube.com/playlist?list...
AI Playing Flappy Bird Full Tutorial:- https://www.youtube.com/playlist?list...
Mask RCNN full Playlist:- https://www.youtube.com/playlist?list...
Emotions Recognition Full Tutorials Playlist:- https://www.youtube.com/playlist?list...
Tensorflow Object Detection full Tutorial Playlist:- https://www.youtube.com/playlist?list...
Face Mask Detection using TF Object Detection API - https://www.youtube.com/playlist?list...
OpenPose Estimation Full tutorial:-
https://www.youtube.com/playlist?list...
Do follow me, comment down your opinion & suggestions.
Tell me if you didn't get anything.
I will be back with another python tricks & tips
Subscribe to our Channel & press the bell icon.
*Until that "Keep learning, Do more code!"*
*"Stay safe at home, keep coding"*
hand gesture recognition using OpenCV python, real-time hand gesture recognition python, hand gesture detection opencv python, hand gesture detection, hand gesture detection using ai, hand movement detection opencv python, mediapipe hand gesture recognition python, mediapipe hand gesture recognition, mediapipe hands, hand gesture recognition, hand gesture recognition project, gesture recognition, hand movement detection, hand recognition opencv python
"The video thumbnails were created using publicly available images from Google images and are used solely for thumbnail purposes. I do not claim ownership of these images. If you are the owner of any copyrighted content used in these thumbnails and want them removed or changed, please contact me and I will comply promptly. Thank you."
#python
#handgesturerecognition
#mediapipe
- published: 17 Oct 2021
- views: 71234
1:11:40
Custom Hand Gesture Recognition with Hand Landmarks Using Google’s Mediapipe + OpenCV in Python
Hey what's up, y'all! In this video we'll take a look at a really cool GitHub repo that I found that allows us to easily train a Keras neural network to recogni...
Hey what's up, y'all! In this video we'll take a look at a really cool GitHub repo that I found that allows us to easily train a Keras neural network to recognize our own custom hand gestures, and that runs flawlessly on a CPU. But there's more: I'll actually guide you through the entire process and explain the logic of how everything works behind the scenes too. We'll use Mediapipe for extracting hand landmarks (which runs a pipeline of TensorFlow neural nets under the hood), which will allow us to use relatively small training datasets for training on our new custom hand gestures.
GitHub repository (translated into English): https://github.com/kinivi/hand-gesture-recognition-mediapipe
Original GitHub repository (in Japanese) https://github.com/Kazuhito00/hand-gesture-recognition-using-mediapipe
A series of videos I made about OpenCV: https://www.youtube.com/playlist?list=PLZBN9cDu0MSlHMjJughb11ydICWbA8OBe
Here's the same repo but in React, and nextJS: https://github.com/TomasGonzalez/hand-gesture-recognition-using-mediapipe-in-react
Follow me on GitHub: https://github.com/ivangrov
Hit me up on Twitter: https://twitter.com/Ivangrov ( Cool updates on more videos I'm making there)
And on LinkedIn: https://www.linkedin.com/in/ivangrov/
Time stamps⏳
00:00 Intro
01:14 What's gonna be in the video
04:00 Top-level overview of the hand gesture recognition approach we'll use
14:56 Google's Mediapipe framework Python API
17:50 Hand gesture recognition GitHub repository we'll use
20:58 Modifying the repo's code to allow for multi-hand detection
25:23 Code walkthrough
32:46 Explaining hand landmarks preprocessing algorithm
48:05 Disabling point history classification
50:43 Training: hand gesture dataset
53:30 Training: adding a new hand gesture to the existing ones
01:02:43 Training: Retraining the model with all new hand gestures
01:09:51 Outro
Contact me directly:
[email protected]
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
It would mean the world to me, if you decided to support me and the channel =)
►You may consider watching ads that show up on the videos
Making these videos takes a lot of time and effort, so If you decide to support me, please don't hesitate get in touch with me as I'd like to thank you personally!
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Thanks for watching!
https://wn.com/Custom_Hand_Gesture_Recognition_With_Hand_Landmarks_Using_Google’S_Mediapipe_Opencv_In_Python
Hey what's up, y'all! In this video we'll take a look at a really cool GitHub repo that I found that allows us to easily train a Keras neural network to recognize our own custom hand gestures, and that runs flawlessly on a CPU. But there's more: I'll actually guide you through the entire process and explain the logic of how everything works behind the scenes too. We'll use Mediapipe for extracting hand landmarks (which runs a pipeline of TensorFlow neural nets under the hood), which will allow us to use relatively small training datasets for training on our new custom hand gestures.
GitHub repository (translated into English): https://github.com/kinivi/hand-gesture-recognition-mediapipe
Original GitHub repository (in Japanese) https://github.com/Kazuhito00/hand-gesture-recognition-using-mediapipe
A series of videos I made about OpenCV: https://www.youtube.com/playlist?list=PLZBN9cDu0MSlHMjJughb11ydICWbA8OBe
Here's the same repo but in React, and nextJS: https://github.com/TomasGonzalez/hand-gesture-recognition-using-mediapipe-in-react
Follow me on GitHub: https://github.com/ivangrov
Hit me up on Twitter: https://twitter.com/Ivangrov ( Cool updates on more videos I'm making there)
And on LinkedIn: https://www.linkedin.com/in/ivangrov/
Time stamps⏳
00:00 Intro
01:14 What's gonna be in the video
04:00 Top-level overview of the hand gesture recognition approach we'll use
14:56 Google's Mediapipe framework Python API
17:50 Hand gesture recognition GitHub repository we'll use
20:58 Modifying the repo's code to allow for multi-hand detection
25:23 Code walkthrough
32:46 Explaining hand landmarks preprocessing algorithm
48:05 Disabling point history classification
50:43 Training: hand gesture dataset
53:30 Training: adding a new hand gesture to the existing ones
01:02:43 Training: Retraining the model with all new hand gestures
01:09:51 Outro
Contact me directly:
[email protected]
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
It would mean the world to me, if you decided to support me and the channel =)
►You may consider watching ads that show up on the videos
Making these videos takes a lot of time and effort, so If you decide to support me, please don't hesitate get in touch with me as I'd like to thank you personally!
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Thanks for watching!
- published: 14 Mar 2022
- views: 181207
0:30
Hand Gesture Recognition for Unity Demo
This is a demo for a tutorial series that covers training an object detector using the IceVision library and implementing the trained model in a Unity game engi...
This is a demo for a tutorial series that covers training an object detector using the IceVision library and implementing the trained model in a Unity game engine project using OpenVINO.
Blog Posts
Part 1: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-1/
Part 2: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-2/
Part 3: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-3/
GitHub Repository: (https://github.com/cj-mills/icevision-openvino-unity-tutorial)
https://wn.com/Hand_Gesture_Recognition_For_Unity_Demo
This is a demo for a tutorial series that covers training an object detector using the IceVision library and implementing the trained model in a Unity game engine project using OpenVINO.
Blog Posts
Part 1: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-1/
Part 2: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-2/
Part 3: https://christianjmills.com/posts/icevision-openvino-unity-tutorial/part-3/
GitHub Repository: (https://github.com/cj-mills/icevision-openvino-unity-tutorial)
- published: 11 Aug 2022
- views: 4040
32:29
Real Time Sign Language Detection with Tensorflow Object Detection and Python | Deep Learning SSD
Language barriers are very much still a real thing.
We can take baby steps to help close that.
Speech to text and translators have made it a heap easier.
Bu...
Language barriers are very much still a real thing.
We can take baby steps to help close that.
Speech to text and translators have made it a heap easier.
But what about for those that maybe don't speak or can't hear?
What about them?
Well...you can begin to use Tensorflow Object Detection and Python to help close that gap. And in this video, you'll learn how to take the first steps to doing just that! In this video, you'll learn how to build an end-to-end custom object detection model that allows you to translate sign language in real time.
In this video you’ll learn how to:
1. Collect images for deep learning using your webcam and OpenCV
2. Label images for sign language detection using LabelImg
3. Setup Tensorflow Object Detection pipeline configuration
4. Use transfer learning to train a deep learning model
5. Detect sign language in real time using OpenCV
Get the training template here: https://github.com/nicknochnack/RealTimeObjectDetection
Other Links Mentioned in the Video
Face Mask Detection Video: https://youtu.be/IOI0o3Cxv9Q
LabelImg: https://github.com/tzutalin/labelImg
Installing the Tensorflow Object Detection API: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html
Oh, and don't forget to connect with me!
LinkedIn: https://www.linkedin.com/in/nicholasrenotte
Facebook: https://www.facebook.com/nickrenotte/
GitHub: https://github.com/nicknochnack
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
https://wn.com/Real_Time_Sign_Language_Detection_With_Tensorflow_Object_Detection_And_Python_|_Deep_Learning_Ssd
Language barriers are very much still a real thing.
We can take baby steps to help close that.
Speech to text and translators have made it a heap easier.
But what about for those that maybe don't speak or can't hear?
What about them?
Well...you can begin to use Tensorflow Object Detection and Python to help close that gap. And in this video, you'll learn how to take the first steps to doing just that! In this video, you'll learn how to build an end-to-end custom object detection model that allows you to translate sign language in real time.
In this video you’ll learn how to:
1. Collect images for deep learning using your webcam and OpenCV
2. Label images for sign language detection using LabelImg
3. Setup Tensorflow Object Detection pipeline configuration
4. Use transfer learning to train a deep learning model
5. Detect sign language in real time using OpenCV
Get the training template here: https://github.com/nicknochnack/RealTimeObjectDetection
Other Links Mentioned in the Video
Face Mask Detection Video: https://youtu.be/IOI0o3Cxv9Q
LabelImg: https://github.com/tzutalin/labelImg
Installing the Tensorflow Object Detection API: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html
Oh, and don't forget to connect with me!
LinkedIn: https://www.linkedin.com/in/nicholasrenotte
Facebook: https://www.facebook.com/nickrenotte/
GitHub: https://github.com/nicknochnack
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
- published: 05 Nov 2020
- views: 710869
1:06
Real-Time Camera-Based Static Gesture Recognition using Convolutional Neural Networks
Computer vision and machine learning are rapidly growing fields of research, both of which have contributed much to the domain of gesture recognition. This proj...
Computer vision and machine learning are rapidly growing fields of research, both of which have contributed much to the domain of gesture recognition. This project proposes a real-time gesture recognition system for static hand gestures using only commodity hardware found in almost all smartphones. This interaction enables users to trigger software functionality using a quick and natural form of human-computer interaction (HCI). The project splits the challenge of gesture recognition into two distinct components- hand segmentation and hand classification. Hand segmentation is achieved through a combination of background subtraction and skin-modelling techniques, where the input from a smartphone camera is transformed into a binary image. Segmenting the input into its most basic form reduces the impact of variants such as background, illumination, texture and colour, all of which contribute to accurate and robust classification. To achieve classification, this report details a comprehensive evaluation of 3 machine learning approaches- CNN, SVM and KNN, in which the performance, in terms of accuracy and computational load, are assessed for this particular application. A 4 layered convolutional neural network was found to be superior in both accuracy and speed, as it requires a much smaller input to remain effective- a crucial property of real-time systems. The system proposed achieves an accuracy of 85% with 6 gestures at 60 frames per second. Furthermore, a case study was performed demonstrating the system is effective in practice for controlling a media player on a mobile device and scoring 69.6 on the industry-standard System Usability Scale.
Gesture Action
ABCDE Pause / play
BC Mute / unmute
BCD Forward (next track)
BCDE Backward (previous track)
BE Volume Up
B Volume Down
https://wn.com/Real_Time_Camera_Based_Static_Gesture_Recognition_Using_Convolutional_Neural_Networks
Computer vision and machine learning are rapidly growing fields of research, both of which have contributed much to the domain of gesture recognition. This project proposes a real-time gesture recognition system for static hand gestures using only commodity hardware found in almost all smartphones. This interaction enables users to trigger software functionality using a quick and natural form of human-computer interaction (HCI). The project splits the challenge of gesture recognition into two distinct components- hand segmentation and hand classification. Hand segmentation is achieved through a combination of background subtraction and skin-modelling techniques, where the input from a smartphone camera is transformed into a binary image. Segmenting the input into its most basic form reduces the impact of variants such as background, illumination, texture and colour, all of which contribute to accurate and robust classification. To achieve classification, this report details a comprehensive evaluation of 3 machine learning approaches- CNN, SVM and KNN, in which the performance, in terms of accuracy and computational load, are assessed for this particular application. A 4 layered convolutional neural network was found to be superior in both accuracy and speed, as it requires a much smaller input to remain effective- a crucial property of real-time systems. The system proposed achieves an accuracy of 85% with 6 gestures at 60 frames per second. Furthermore, a case study was performed demonstrating the system is effective in practice for controlling a media player on a mobile device and scoring 69.6 on the industry-standard System Usability Scale.
Gesture Action
ABCDE Pause / play
BC Mute / unmute
BCD Forward (next track)
BCDE Backward (previous track)
BE Volume Up
B Volume Down
- published: 19 Mar 2020
- views: 275
11:56
Blair Fleming Gets UNEXPECTED Surprise from Nevada Volleyball Team
Get ready for an unforgettable moment as Blair Fleming receives an UNEXPECTED surprise from the Nevada Volleyball Team! This heartwarming gesture showcases the ...
Get ready for an unforgettable moment as Blair Fleming receives an UNEXPECTED surprise from the Nevada Volleyball Team! This heartwarming gesture showcases the true spirit of community support and athlete recognition. The Nevada Athletics team comes together to celebrate Blair's achievements, highlighting the importance of community athletes and their impact on the state sports scene. Witness the pride and excellence of Nevada Volleyball as they pay tribute to one of their own, demonstrating the values of team ambassadors and community champions. Don't miss this inspirational moment of athlete appreciation and recognition, as Blair Fleming takes center stage in this remarkable display of Nevada pride and community impact.
https://wn.com/Blair_Fleming_Gets_Unexpected_Surprise_From_Nevada_Volleyball_Team
Get ready for an unforgettable moment as Blair Fleming receives an UNEXPECTED surprise from the Nevada Volleyball Team! This heartwarming gesture showcases the true spirit of community support and athlete recognition. The Nevada Athletics team comes together to celebrate Blair's achievements, highlighting the importance of community athletes and their impact on the state sports scene. Witness the pride and excellence of Nevada Volleyball as they pay tribute to one of their own, demonstrating the values of team ambassadors and community champions. Don't miss this inspirational moment of athlete appreciation and recognition, as Blair Fleming takes center stage in this remarkable display of Nevada pride and community impact.
- published: 17 Oct 2024
- views: 110
13:02
Hand Tracking & Gesture Control With Raspberry Pi + OpenCV + Python
Full Article - https://core-electronics.com.au/tutorials/hand-identification-raspberry-pi.html
Identify and track every joint in the fingers of your human hands...
Full Article - https://core-electronics.com.au/tutorials/hand-identification-raspberry-pi.html
Identify and track every joint in the fingers of your human hands, live. Then use your human hands to send commands to control media software and GPIO attached hardware. All via a Raspberry Pi Single Board Computer.
Make sure to use the Previous Raspberry Pi 'Buster' OS with this Guide.
Related Information
Flashing 'Buster' OS onto a Raspberry Pi - https://core-electronics.com.au/tutorials/flash-buster-os-pi.html
Setting Up a Raspberry Pi as a Desktop - https://core-electronics.com.au/tutorials/dual-monitors-raspberry-pi-4.html
GlowBit Matrix 4x4 Guide - https://core-electronics.com.au/tutorials/glowbit/glowbit-matrix-4x4-python-and-micropython-guide.html
Face Tracking with Pan-Tilt Hat - https://core-electronics.com.au/tutorials/Face-Tracking-Raspberry-Pi.html
Facial Recognition Raspberry Pi - https://core-electronics.com.au/tutorials/face-identify-raspberry-pi.html
Speed Camera with Raspberry Pi - https://core-electronics.com.au/tutorials/detect-speed-raspberry-pi.html
Object and Animal Recognition With Raspberry Pi - https://core-electronics.com.au/tutorials/object-identify-raspberry-pi.html
How To Use Your Phone to Control Your Raspberry Pi - https://core-electronics.com.au/tutorials/raspcontrol-raspberry-pi.html
Python Workshop for Beginners - https://core-electronics.com.au/tutorials/python-workshop.html
BuzzBox (What that VLC Video was all about) - https://core-electronics.com.au/projects/buzzbox
Machine and deep learning has never been more accessible as this video will demonstrate. Cameras in combination with machine learning create the most powerful sensor you can ever put on a Raspberry Pi Single Board Computer. Today is all about real-time Hand Recognition and Finger Identification via computer vision with our Raspberry Pi single board computer doing all the hard work. The system built here will use Open-CV particularly CVzone. This is a huge package that helps solve real-time computer vision and image processing problems. This system will also be using MediaPipe for real-time Hand Identification, which will run a TensorFlow Lite delegate during script operation for hardware acceleration (this guide has it all!). Check the full guide on how to install these correctly and download the scripts. There are other types of gesture recognition technology that will work with a Raspberry Pi 4 Model B. For instance, you can also do hand identification or gesture identification with Pytorch, Haar cascades, or YOLO/YOLOv2 Packages but the MediaPipe dataset and system used in this guide is far superior. The first script when run will identify any hands seen in front of it through computer vision and then use machine learning to draw a hand framework over the top of any hands identified. The second script will output to the shell a statement on total finger count (both up and down) and specific details of each Finger on whether it is up or down. Third and fourth scripts are all about controlling hardware and software with your hands. The first uses a GlowBit Matrix 4x4. The amount of fingers you show will produce different colours on the matrix. The final script lets you control a VLC media player (play, pause, volume control) all through your fingertips. Gesture Volume Control success! All the scripts are fully open-source and can readily be expanded taking your projects to amazing places
If you have any questions about this content or want to share a project you're working on head over to our maker forum, we are full time makers and here to help - http://coreelec.io/forum
Core Electronics is located in the heart of Newcastle, Australia. We're powered by makers, for makers. Drop by if you are looking for:
Raspberry Pi 4 Model B 4GB (Used Here): https://core-electronics.com.au/catalog/product/view/sku/CE06425
Raspberry Pi High Quality Camera (Used Here): https://core-electronics.com.au/catalog/product/view/sku/CE06935
Raspberry Pi 6mm Wide Angle Camera Lens: https://core-electronics.com.au/catalog/product/view/sku/CE06937
Raspberry Pi Official Camera Module V2: https://core-electronics.com.au/catalog/product/view/sku/CE04421
Raspberry Pi 4 Power Supply: https://core-electronics.com.au/catalog/product/view/sku/CE06427
0:00 Intro
0:13 Video Overview
0:36 What You Need
1:40 Download the Scripts
2:03 Simple Hand Tracking Script
2:25 First Pay Off
2:40 Tracking More Hands
3:18 X-Y Data of a Single Point on Hand
3:48 Fingers Up or Down Script
4:29 Second Pay Off
5:16 Text to Speech Feature
5:43 GlowBit Matrix GPIO Control Script
6:10 Third Pay Off
6:20 GlowBit Script Explanation
8:53 Accessibility/Media Control Script
9:15 Final Pay Off
9:42 Macro and Script Explanation
12:15 Outro
The following trademarks are owned by Core Electronics Pty Ltd:
"Core Electronics" and the Core Electronics logo
"Makerverse" and the Makerverse logo
"PiicoDev" and the PiicoDev logo
"GlowBit" and the GlowBit logo
https://wn.com/Hand_Tracking_Gesture_Control_With_Raspberry_Pi_Opencv_Python
Full Article - https://core-electronics.com.au/tutorials/hand-identification-raspberry-pi.html
Identify and track every joint in the fingers of your human hands, live. Then use your human hands to send commands to control media software and GPIO attached hardware. All via a Raspberry Pi Single Board Computer.
Make sure to use the Previous Raspberry Pi 'Buster' OS with this Guide.
Related Information
Flashing 'Buster' OS onto a Raspberry Pi - https://core-electronics.com.au/tutorials/flash-buster-os-pi.html
Setting Up a Raspberry Pi as a Desktop - https://core-electronics.com.au/tutorials/dual-monitors-raspberry-pi-4.html
GlowBit Matrix 4x4 Guide - https://core-electronics.com.au/tutorials/glowbit/glowbit-matrix-4x4-python-and-micropython-guide.html
Face Tracking with Pan-Tilt Hat - https://core-electronics.com.au/tutorials/Face-Tracking-Raspberry-Pi.html
Facial Recognition Raspberry Pi - https://core-electronics.com.au/tutorials/face-identify-raspberry-pi.html
Speed Camera with Raspberry Pi - https://core-electronics.com.au/tutorials/detect-speed-raspberry-pi.html
Object and Animal Recognition With Raspberry Pi - https://core-electronics.com.au/tutorials/object-identify-raspberry-pi.html
How To Use Your Phone to Control Your Raspberry Pi - https://core-electronics.com.au/tutorials/raspcontrol-raspberry-pi.html
Python Workshop for Beginners - https://core-electronics.com.au/tutorials/python-workshop.html
BuzzBox (What that VLC Video was all about) - https://core-electronics.com.au/projects/buzzbox
Machine and deep learning has never been more accessible as this video will demonstrate. Cameras in combination with machine learning create the most powerful sensor you can ever put on a Raspberry Pi Single Board Computer. Today is all about real-time Hand Recognition and Finger Identification via computer vision with our Raspberry Pi single board computer doing all the hard work. The system built here will use Open-CV particularly CVzone. This is a huge package that helps solve real-time computer vision and image processing problems. This system will also be using MediaPipe for real-time Hand Identification, which will run a TensorFlow Lite delegate during script operation for hardware acceleration (this guide has it all!). Check the full guide on how to install these correctly and download the scripts. There are other types of gesture recognition technology that will work with a Raspberry Pi 4 Model B. For instance, you can also do hand identification or gesture identification with Pytorch, Haar cascades, or YOLO/YOLOv2 Packages but the MediaPipe dataset and system used in this guide is far superior. The first script when run will identify any hands seen in front of it through computer vision and then use machine learning to draw a hand framework over the top of any hands identified. The second script will output to the shell a statement on total finger count (both up and down) and specific details of each Finger on whether it is up or down. Third and fourth scripts are all about controlling hardware and software with your hands. The first uses a GlowBit Matrix 4x4. The amount of fingers you show will produce different colours on the matrix. The final script lets you control a VLC media player (play, pause, volume control) all through your fingertips. Gesture Volume Control success! All the scripts are fully open-source and can readily be expanded taking your projects to amazing places
If you have any questions about this content or want to share a project you're working on head over to our maker forum, we are full time makers and here to help - http://coreelec.io/forum
Core Electronics is located in the heart of Newcastle, Australia. We're powered by makers, for makers. Drop by if you are looking for:
Raspberry Pi 4 Model B 4GB (Used Here): https://core-electronics.com.au/catalog/product/view/sku/CE06425
Raspberry Pi High Quality Camera (Used Here): https://core-electronics.com.au/catalog/product/view/sku/CE06935
Raspberry Pi 6mm Wide Angle Camera Lens: https://core-electronics.com.au/catalog/product/view/sku/CE06937
Raspberry Pi Official Camera Module V2: https://core-electronics.com.au/catalog/product/view/sku/CE04421
Raspberry Pi 4 Power Supply: https://core-electronics.com.au/catalog/product/view/sku/CE06427
0:00 Intro
0:13 Video Overview
0:36 What You Need
1:40 Download the Scripts
2:03 Simple Hand Tracking Script
2:25 First Pay Off
2:40 Tracking More Hands
3:18 X-Y Data of a Single Point on Hand
3:48 Fingers Up or Down Script
4:29 Second Pay Off
5:16 Text to Speech Feature
5:43 GlowBit Matrix GPIO Control Script
6:10 Third Pay Off
6:20 GlowBit Script Explanation
8:53 Accessibility/Media Control Script
9:15 Final Pay Off
9:42 Macro and Script Explanation
12:15 Outro
The following trademarks are owned by Core Electronics Pty Ltd:
"Core Electronics" and the Core Electronics logo
"Makerverse" and the Makerverse logo
"PiicoDev" and the PiicoDev logo
"GlowBit" and the GlowBit logo
- published: 20 Dec 2021
- views: 70363