Human adulthood encompasses psychological adult development. Definitions of adulthood are often inconsistent and contradictory; a person may be biologically an adult, and have adult behavior but still be treated as a child if they are under the legal age of majority. Conversely, one may legally be an adult but possess none of the maturity and responsibility that may define an
adult character.
In different cultures there are events that relate passing from being a child to becoming an adult or coming of age. This often encompasses the passing a series of tests to demonstrate that a person is prepared for adulthood, or reaching a specified age, sometimes in conjunction with demonstrating preparation. Most modern societies determine legal adulthood based on reaching a legally specified age without requiring a demonstration of physical maturity or preparation for adulthood.
Check out this epic marathon from Season 1 of Unidentified: Inside America's UFO Investigation.
#Unidentified
Subscribe for more from Unidentified and other great The HISTORY Channel shows:
http://histv.co/SubscribeHistoryYT
Find out more about the show and watch full episodes on our site:
https://www.history.com/shows/unidentified-inside-americas-ufo-investigation
Check out exclusive HISTORY content:
History Newsletter - https://histv.co/newsletter
Website - https://histv.co/History
Facebook - https://histv.co/Facebook
Twitter - https://histv.co/Twitter
In season two, each episode will center around a specific case or aspect of the modern UAP phenomenon and follow the credible team of connected investigators including former military intelligence official and Special Agent In-Charge...
published: 02 Apr 2023
Tensorflow Object Detection in 5 Hours with Python | Full Course with 3 Projects
Want to get up to speed on AI powered Object Detection but not sure where to start?
Want to start building your own deep learning Object Detection models?
Need some help detecting stuff for your course, startup or business?
This is the course you need!
In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep learning object detection with Tensorflow. This course mainly revolves around Python but there’s a little Javascript thrown in as well when it comes to building a web app in Project 2. But don’t fret we’ll take it step by step so you can take your time and work through it. All the code it made available through GitHub, links below.
As part of this course you’ll build four different object detection models:
A. Gesture Dete...
published: 09 Apr 2021
Ten Percent Of U.S. High School Students Graduating Without Basic Object Permanence Skills
A new study finds that many American students do not realize that objects continue to exist even when they cannot be seen or heard.
Subscribe to The Onion on YouTube: http://bit.ly/xzrBUA
Like The Onion on Facebook: http://www.fb.com/theonion
Follow The Onion on Twitter: http://www.twitter.com/theonion
published: 01 Feb 2013
A New Object Show has arrived... And is asking for YOUR assistance!
#osc #objectshowcommunity #objectshows #objectshow #objectshowscommunity
I made a community post on this, but to get it to reach more people I made it into a video! Meet the drawing tablet Tablety, an artistic and energetic tablet who is currently ecstatic to ask you to participate in my upcoming object show, Lives on the Line! Or LOTL for short. (She's hiding her anxiety right now, you'll see if you help make this show real or wish to watch it!)
You can join in the Discord server here! This server is intended for those who wish to help on an object show like this, but you can stand by and watch as the magic is made before your eyes. We don't judge.
The link expires the same day as my YouTube's Discord link, so get in soon!
https://discord.gg/r2MXtXcE
-SOCIAL MEDIA-
YouTube: you're he...
Check out this epic marathon from Season 1 of Unidentified: Inside America's UFO Investigation.
#Unidentified
Subscribe for more from Unidentified and other ...
Check out this epic marathon from Season 1 of Unidentified: Inside America's UFO Investigation.
#Unidentified
Subscribe for more from Unidentified and other great The HISTORY Channel shows:
http://histv.co/SubscribeHistoryYT
Find out more about the show and watch full episodes on our site:
https://www.history.com/shows/unidentified-inside-americas-ufo-investigation
Check out exclusive HISTORY content:
History Newsletter - https://histv.co/newsletter
Website - https://histv.co/History
Facebook - https://histv.co/Facebook
Twitter - https://histv.co/Twitter
In season two, each episode will center around a specific case or aspect of the modern UAP phenomenon and follow the credible team of connected investigators including former military intelligence official and Special Agent In-Charge, Luis Elizondo, and former Deputy Assistant Secretary of Defense and Intelligence, Chris Mellon.
HISTORY® is the leading destination for award-winning original series and specials that connect viewers with history in an informative, immersive, and entertaining manner across all platforms. The network’s all-original programming slate features a roster of hit series, premium documentaries, and scripted event programming.
Check out this epic marathon from Season 1 of Unidentified: Inside America's UFO Investigation.
#Unidentified
Subscribe for more from Unidentified and other great The HISTORY Channel shows:
http://histv.co/SubscribeHistoryYT
Find out more about the show and watch full episodes on our site:
https://www.history.com/shows/unidentified-inside-americas-ufo-investigation
Check out exclusive HISTORY content:
History Newsletter - https://histv.co/newsletter
Website - https://histv.co/History
Facebook - https://histv.co/Facebook
Twitter - https://histv.co/Twitter
In season two, each episode will center around a specific case or aspect of the modern UAP phenomenon and follow the credible team of connected investigators including former military intelligence official and Special Agent In-Charge, Luis Elizondo, and former Deputy Assistant Secretary of Defense and Intelligence, Chris Mellon.
HISTORY® is the leading destination for award-winning original series and specials that connect viewers with history in an informative, immersive, and entertaining manner across all platforms. The network’s all-original programming slate features a roster of hit series, premium documentaries, and scripted event programming.
Want to get up to speed on AI powered Object Detection but not sure where to start?
Want to start building your own deep learning Object Detection models?
Nee...
Want to get up to speed on AI powered Object Detection but not sure where to start?
Want to start building your own deep learning Object Detection models?
Need some help detecting stuff for your course, startup or business?
This is the course you need!
In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep learning object detection with Tensorflow. This course mainly revolves around Python but there’s a little Javascript thrown in as well when it comes to building a web app in Project 2. But don’t fret we’ll take it step by step so you can take your time and work through it. All the code it made available through GitHub, links below.
As part of this course you’ll build four different object detection models:
A. Gesture Detection - this is the first project where you’ll be able to build a model that detects four different gestures
B. Microscope Based Defect Detection - here we’ll leverage a USB microscope to detect defects in LEDs and PCBs using TFOD and Python
C. Web Direction Detection - in this model you’ll learn how to detect hand directions for integration in a React Js Web App with Tensorflow Js
D. Face Sentiment Detection - here you’ll learn how to estimate facial sentiment using Tensorflow Object Detection on a Raspberry Pi with TFLite
You’ll learn how to:
1. Install Tensorflow Object Detection on a Local Machine and on Colab
2. Collect and Label images for Object Detection using LabelImg
3. Train Deep Learning powered Object Detection Models using Python and TFOD
4. Detect objects in real time using a webcam and using Images
5. Tune Object Detection models to improve Precision and Recall
6. Export your model to Tensorflow JS for integration in React JS web apps
7. Export your model to TFLite for use on a Raspberry Pi
Get the code
Tensorflow Object Detection Python Course Code: https://github.com/nicknochnack/TFODCourse
Tensorflow Object Detection React App: https://github.com/nicknochnack/TFODApp
Tensorflow Object Detection for Raspberry Pi: https://github.com/nicknochnack/TFODRPi
Chapters:
0:00 - Start
12:13 - SECTION 1: Installation and Setup
26:34 - Cloning the Baseline Code from GitHub
27:59 - Creating a Virtual Environment
39:57 - SECTION 2: Collecting Images and Labelling
44:48 - Collecting Images Using Your Webcam
1:04:11 - Labelling Images for Object Detection using LabelImg
1:29:08 - SECTION 3: Training Tensorflow Object Detection Models
1:34:04 - Tensorflow Model Zoo
1:39:04 - Installing Tensorflow Object Detection for Python
1:56:41 - Installing CUDA and cuDNN
2:06:42 - Using Tensorflow Model Zoo models
2:09:21 - Creating and Updating a Label Map
2:10:09 - Creating TF Records
2:17:23 - Training Tensorflow Object Detection Models for Python
2:27:48 - Evaluating OD Models (Precision and Recall)
2:29:08 - Evaluating OD Models using Tensorboard
2:34:07 - SECTION 4: Detecting Objects from Images and Webcams
2:34:52 - Detecting Objects in Images
2:38:57 - Detecting Objects in Real Time using a Webcam
2:41:56 - SECTION 5: Freezing TFOD and Converting to TFJS and TFLite
2:42:25 - Freezing the Tensorflow Graph
2:44:17 - Converting Object Detection Models to Tensorflow Js
2:45:27 - Converting Object Detection Models to TFLite
2:47:45 - SECTION 6: Performance Tuning to Improve Precision and Recall
3:12:34 - SECTION 7: Training Object Detection Models on Colab
3:24:05 - SECTION 8: Object Detection Projects with Python
3:25:25 - Project 1: Detecting Object Defects with a Microscope
3:57:34 - Project 2: Web Direction Detection using Tensorflow JS
4:47:40 - Project 3: Sentiment Detection on a Raspberry Pi Using TFLite
Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
Want to get up to speed on AI powered Object Detection but not sure where to start?
Want to start building your own deep learning Object Detection models?
Need some help detecting stuff for your course, startup or business?
This is the course you need!
In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep learning object detection with Tensorflow. This course mainly revolves around Python but there’s a little Javascript thrown in as well when it comes to building a web app in Project 2. But don’t fret we’ll take it step by step so you can take your time and work through it. All the code it made available through GitHub, links below.
As part of this course you’ll build four different object detection models:
A. Gesture Detection - this is the first project where you’ll be able to build a model that detects four different gestures
B. Microscope Based Defect Detection - here we’ll leverage a USB microscope to detect defects in LEDs and PCBs using TFOD and Python
C. Web Direction Detection - in this model you’ll learn how to detect hand directions for integration in a React Js Web App with Tensorflow Js
D. Face Sentiment Detection - here you’ll learn how to estimate facial sentiment using Tensorflow Object Detection on a Raspberry Pi with TFLite
You’ll learn how to:
1. Install Tensorflow Object Detection on a Local Machine and on Colab
2. Collect and Label images for Object Detection using LabelImg
3. Train Deep Learning powered Object Detection Models using Python and TFOD
4. Detect objects in real time using a webcam and using Images
5. Tune Object Detection models to improve Precision and Recall
6. Export your model to Tensorflow JS for integration in React JS web apps
7. Export your model to TFLite for use on a Raspberry Pi
Get the code
Tensorflow Object Detection Python Course Code: https://github.com/nicknochnack/TFODCourse
Tensorflow Object Detection React App: https://github.com/nicknochnack/TFODApp
Tensorflow Object Detection for Raspberry Pi: https://github.com/nicknochnack/TFODRPi
Chapters:
0:00 - Start
12:13 - SECTION 1: Installation and Setup
26:34 - Cloning the Baseline Code from GitHub
27:59 - Creating a Virtual Environment
39:57 - SECTION 2: Collecting Images and Labelling
44:48 - Collecting Images Using Your Webcam
1:04:11 - Labelling Images for Object Detection using LabelImg
1:29:08 - SECTION 3: Training Tensorflow Object Detection Models
1:34:04 - Tensorflow Model Zoo
1:39:04 - Installing Tensorflow Object Detection for Python
1:56:41 - Installing CUDA and cuDNN
2:06:42 - Using Tensorflow Model Zoo models
2:09:21 - Creating and Updating a Label Map
2:10:09 - Creating TF Records
2:17:23 - Training Tensorflow Object Detection Models for Python
2:27:48 - Evaluating OD Models (Precision and Recall)
2:29:08 - Evaluating OD Models using Tensorboard
2:34:07 - SECTION 4: Detecting Objects from Images and Webcams
2:34:52 - Detecting Objects in Images
2:38:57 - Detecting Objects in Real Time using a Webcam
2:41:56 - SECTION 5: Freezing TFOD and Converting to TFJS and TFLite
2:42:25 - Freezing the Tensorflow Graph
2:44:17 - Converting Object Detection Models to Tensorflow Js
2:45:27 - Converting Object Detection Models to TFLite
2:47:45 - SECTION 6: Performance Tuning to Improve Precision and Recall
3:12:34 - SECTION 7: Training Object Detection Models on Colab
3:24:05 - SECTION 8: Object Detection Projects with Python
3:25:25 - Project 1: Detecting Object Defects with a Microscope
3:57:34 - Project 2: Web Direction Detection using Tensorflow JS
4:47:40 - Project 3: Sentiment Detection on a Raspberry Pi Using TFLite
Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
A new study finds that many American students do not realize that objects continue to exist even when they cannot be seen or heard.
Subscribe to The Onion on Y...
A new study finds that many American students do not realize that objects continue to exist even when they cannot be seen or heard.
Subscribe to The Onion on YouTube: http://bit.ly/xzrBUA
Like The Onion on Facebook: http://www.fb.com/theonion
Follow The Onion on Twitter: http://www.twitter.com/theonion
A new study finds that many American students do not realize that objects continue to exist even when they cannot be seen or heard.
Subscribe to The Onion on YouTube: http://bit.ly/xzrBUA
Like The Onion on Facebook: http://www.fb.com/theonion
Follow The Onion on Twitter: http://www.twitter.com/theonion
#osc #objectshowcommunity #objectshows #objectshow #objectshowscommunity
I made a community post on this, but to get it to reach more people I made it into a ...
#osc #objectshowcommunity #objectshows #objectshow #objectshowscommunity
I made a community post on this, but to get it to reach more people I made it into a video! Meet the drawing tablet Tablety, an artistic and energetic tablet who is currently ecstatic to ask you to participate in my upcoming object show, Lives on the Line! Or LOTL for short. (She's hiding her anxiety right now, you'll see if you help make this show real or wish to watch it!)
You can join in the Discord server here! This server is intended for those who wish to help on an object show like this, but you can stand by and watch as the magic is made before your eyes. We don't judge.
The link expires the same day as my YouTube's Discord link, so get in soon!
https://discord.gg/r2MXtXcE
-SOCIAL MEDIA-
YouTube: you're here already pfff
Twitter: https://twitter.com/LiniaxxOFFICIAL
DeviantArt: https://www.deviantart.com/liniaxx
Sketchers United: https://sketchersunited.org/users/185487
Discord (Link expires 01/28/2023): https://discord.gg/m5BWVctm
#osc #objectshowcommunity #objectshows #objectshow #objectshowscommunity
I made a community post on this, but to get it to reach more people I made it into a video! Meet the drawing tablet Tablety, an artistic and energetic tablet who is currently ecstatic to ask you to participate in my upcoming object show, Lives on the Line! Or LOTL for short. (She's hiding her anxiety right now, you'll see if you help make this show real or wish to watch it!)
You can join in the Discord server here! This server is intended for those who wish to help on an object show like this, but you can stand by and watch as the magic is made before your eyes. We don't judge.
The link expires the same day as my YouTube's Discord link, so get in soon!
https://discord.gg/r2MXtXcE
-SOCIAL MEDIA-
YouTube: you're here already pfff
Twitter: https://twitter.com/LiniaxxOFFICIAL
DeviantArt: https://www.deviantart.com/liniaxx
Sketchers United: https://sketchersunited.org/users/185487
Discord (Link expires 01/28/2023): https://discord.gg/m5BWVctm
Check out this epic marathon from Season 1 of Unidentified: Inside America's UFO Investigation.
#Unidentified
Subscribe for more from Unidentified and other great The HISTORY Channel shows:
http://histv.co/SubscribeHistoryYT
Find out more about the show and watch full episodes on our site:
https://www.history.com/shows/unidentified-inside-americas-ufo-investigation
Check out exclusive HISTORY content:
History Newsletter - https://histv.co/newsletter
Website - https://histv.co/History
Facebook - https://histv.co/Facebook
Twitter - https://histv.co/Twitter
In season two, each episode will center around a specific case or aspect of the modern UAP phenomenon and follow the credible team of connected investigators including former military intelligence official and Special Agent In-Charge, Luis Elizondo, and former Deputy Assistant Secretary of Defense and Intelligence, Chris Mellon.
HISTORY® is the leading destination for award-winning original series and specials that connect viewers with history in an informative, immersive, and entertaining manner across all platforms. The network’s all-original programming slate features a roster of hit series, premium documentaries, and scripted event programming.
Want to get up to speed on AI powered Object Detection but not sure where to start?
Want to start building your own deep learning Object Detection models?
Need some help detecting stuff for your course, startup or business?
This is the course you need!
In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep learning object detection with Tensorflow. This course mainly revolves around Python but there’s a little Javascript thrown in as well when it comes to building a web app in Project 2. But don’t fret we’ll take it step by step so you can take your time and work through it. All the code it made available through GitHub, links below.
As part of this course you’ll build four different object detection models:
A. Gesture Detection - this is the first project where you’ll be able to build a model that detects four different gestures
B. Microscope Based Defect Detection - here we’ll leverage a USB microscope to detect defects in LEDs and PCBs using TFOD and Python
C. Web Direction Detection - in this model you’ll learn how to detect hand directions for integration in a React Js Web App with Tensorflow Js
D. Face Sentiment Detection - here you’ll learn how to estimate facial sentiment using Tensorflow Object Detection on a Raspberry Pi with TFLite
You’ll learn how to:
1. Install Tensorflow Object Detection on a Local Machine and on Colab
2. Collect and Label images for Object Detection using LabelImg
3. Train Deep Learning powered Object Detection Models using Python and TFOD
4. Detect objects in real time using a webcam and using Images
5. Tune Object Detection models to improve Precision and Recall
6. Export your model to Tensorflow JS for integration in React JS web apps
7. Export your model to TFLite for use on a Raspberry Pi
Get the code
Tensorflow Object Detection Python Course Code: https://github.com/nicknochnack/TFODCourse
Tensorflow Object Detection React App: https://github.com/nicknochnack/TFODApp
Tensorflow Object Detection for Raspberry Pi: https://github.com/nicknochnack/TFODRPi
Chapters:
0:00 - Start
12:13 - SECTION 1: Installation and Setup
26:34 - Cloning the Baseline Code from GitHub
27:59 - Creating a Virtual Environment
39:57 - SECTION 2: Collecting Images and Labelling
44:48 - Collecting Images Using Your Webcam
1:04:11 - Labelling Images for Object Detection using LabelImg
1:29:08 - SECTION 3: Training Tensorflow Object Detection Models
1:34:04 - Tensorflow Model Zoo
1:39:04 - Installing Tensorflow Object Detection for Python
1:56:41 - Installing CUDA and cuDNN
2:06:42 - Using Tensorflow Model Zoo models
2:09:21 - Creating and Updating a Label Map
2:10:09 - Creating TF Records
2:17:23 - Training Tensorflow Object Detection Models for Python
2:27:48 - Evaluating OD Models (Precision and Recall)
2:29:08 - Evaluating OD Models using Tensorboard
2:34:07 - SECTION 4: Detecting Objects from Images and Webcams
2:34:52 - Detecting Objects in Images
2:38:57 - Detecting Objects in Real Time using a Webcam
2:41:56 - SECTION 5: Freezing TFOD and Converting to TFJS and TFLite
2:42:25 - Freezing the Tensorflow Graph
2:44:17 - Converting Object Detection Models to Tensorflow Js
2:45:27 - Converting Object Detection Models to TFLite
2:47:45 - SECTION 6: Performance Tuning to Improve Precision and Recall
3:12:34 - SECTION 7: Training Object Detection Models on Colab
3:24:05 - SECTION 8: Object Detection Projects with Python
3:25:25 - Project 1: Detecting Object Defects with a Microscope
3:57:34 - Project 2: Web Direction Detection using Tensorflow JS
4:47:40 - Project 3: Sentiment Detection on a Raspberry Pi Using TFLite
Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
A new study finds that many American students do not realize that objects continue to exist even when they cannot be seen or heard.
Subscribe to The Onion on YouTube: http://bit.ly/xzrBUA
Like The Onion on Facebook: http://www.fb.com/theonion
Follow The Onion on Twitter: http://www.twitter.com/theonion
#osc #objectshowcommunity #objectshows #objectshow #objectshowscommunity
I made a community post on this, but to get it to reach more people I made it into a video! Meet the drawing tablet Tablety, an artistic and energetic tablet who is currently ecstatic to ask you to participate in my upcoming object show, Lives on the Line! Or LOTL for short. (She's hiding her anxiety right now, you'll see if you help make this show real or wish to watch it!)
You can join in the Discord server here! This server is intended for those who wish to help on an object show like this, but you can stand by and watch as the magic is made before your eyes. We don't judge.
The link expires the same day as my YouTube's Discord link, so get in soon!
https://discord.gg/r2MXtXcE
-SOCIAL MEDIA-
YouTube: you're here already pfff
Twitter: https://twitter.com/LiniaxxOFFICIAL
DeviantArt: https://www.deviantart.com/liniaxx
Sketchers United: https://sketchersunited.org/users/185487
Discord (Link expires 01/28/2023): https://discord.gg/m5BWVctm
Human adulthood encompasses psychological adult development. Definitions of adulthood are often inconsistent and contradictory; a person may be biologically an adult, and have adult behavior but still be treated as a child if they are under the legal age of majority. Conversely, one may legally be an adult but possess none of the maturity and responsibility that may define an
adult character.
In different cultures there are events that relate passing from being a child to becoming an adult or coming of age. This often encompasses the passing a series of tests to demonstrate that a person is prepared for adulthood, or reaching a specified age, sometimes in conjunction with demonstrating preparation. Most modern societies determine legal adulthood based on reaching a legally specified age without requiring a demonstration of physical maturity or preparation for adulthood.