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Bleed AI Academy
United States
Приєднався 8 лют 2021
Bleed AI Academy is for all engineers, scientists, students, hobbyists, and practitioners who are interested in computer vision, machine learning, and deep learning. The aim is to provide you guys with hands-on tutorials and with just the right mix of theory and math to lift you off the ground and make you start utilizing Computer Vision Skills efficiently and as fast as possible.
We also have a whole site where we publish blog articles, you can check them out here: bleedai.com/
Want to start learning Computer Vision Seriously? take a look at our course here: bleedai.com/computer-vision-with-python-by-bleed-ai-2/
We also have a whole site where we publish blog articles, you can check them out here: bleedai.com/
Want to start learning Computer Vision Seriously? take a look at our course here: bleedai.com/computer-vision-with-python-by-bleed-ai-2/
A 9000 Feet Overview of Entire AI Field + Hybrid AI | AI Explained (Pt 4/4) | Episode 6 #CVFE
In this video, you will first learn about some interesting hybrid branches (Semi-Supervised Learning and Self-Supervised Learning) of AI. And then we’ll also cover AI industries, AI applications, applied AI fields, and a lot more, including how everything is connected with each other. Believe me, this is one tutorial that will tie a lot of AI Concepts together that you’ve heard out there, and you don’t want to skip it.
Download Infographic for this Video: app.monstercampaigns.com/c/s1o74crxccvkldf3pw2z/
Read Blogpost Here: bleedaiacademy.com/overview-of-the-field-artificial-intelligence-part-4/
Watch Other CVFE Episodes here: ua-cam.com/users/hashtagcvfe
00:00 Intro
01:45 Semi-Supervised Learning
04:02 Self-Supervised Learning
09:59 Complete Overview of AI Field
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
If you want us to create AI and computer vision solutions for you,
then reach out to us here: bleedai.com/services/
If you enjoyed this video then don't forget to subscribe and like this video.
🎇 Subscribe to this Channel: bit.ly/Bleedsub
🎇 Subscribe to Bleed AI Blog: bleedaiacademy.com/subscribe/
🎇Check out our Courses: bleedaiacademy.com/courses/
Follow Bleed AI for more 👣 :
◼ Website: bleedaiacademy.com/
◼ Facebook Page: bleedaiacademyy
◼ Linkedin: www.linkedin.com/company/bleedaiacademy
◼ Instagram: bleedaiacademy
◼ Twitter: BleedAIAcademy
◼ Patreon: www.patreon.com/bleedai
#CVFE #AI #computervison #artificialintelligence #machinelearning #deeplearning #semisupervisedlearning #selfsupervisedlearning #AIindustries #AIapplications #appliedAIfields
Download Infographic for this Video: app.monstercampaigns.com/c/s1o74crxccvkldf3pw2z/
Read Blogpost Here: bleedaiacademy.com/overview-of-the-field-artificial-intelligence-part-4/
Watch Other CVFE Episodes here: ua-cam.com/users/hashtagcvfe
00:00 Intro
01:45 Semi-Supervised Learning
04:02 Self-Supervised Learning
09:59 Complete Overview of AI Field
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
If you want us to create AI and computer vision solutions for you,
then reach out to us here: bleedai.com/services/
If you enjoyed this video then don't forget to subscribe and like this video.
🎇 Subscribe to this Channel: bit.ly/Bleedsub
🎇 Subscribe to Bleed AI Blog: bleedaiacademy.com/subscribe/
🎇Check out our Courses: bleedaiacademy.com/courses/
Follow Bleed AI for more 👣 :
◼ Website: bleedaiacademy.com/
◼ Facebook Page: bleedaiacademyy
◼ Linkedin: www.linkedin.com/company/bleedaiacademy
◼ Instagram: bleedaiacademy
◼ Twitter: BleedAIAcademy
◼ Patreon: www.patreon.com/bleedai
#CVFE #AI #computervison #artificialintelligence #machinelearning #deeplearning #semisupervisedlearning #selfsupervisedlearning #AIindustries #AIapplications #appliedAIfields
Переглядів: 2 286
Відео
Designing Advanced Image Filters in OpenCV | Creating Instagram Filters - Pt 3⁄3
Переглядів 2,7 тис.2 роки тому
In this video, you will learn to create 10 very interesting and cool Instagram filters-like effects on images and videos. The Filters which are gonna be covered are; Warm Filter, Cold Filter, Gotham Filter, GrayScale Filter, Sepia Filter, Pencil Sketch Filter, Sharpening Filter, Detail Enhancing Filter, Invert Filter, and Stylization Filter. This is the last video in our 3 part Creating Instagr...
Creating Advance Color Filters using Lookup Tables in OpenCV | Creating Instagram Filters - Pt ⅔
Переглядів 9772 роки тому
In this video, you will learn what LookUp Tables are, why are they preferred along with their use cases in real-life, and then utilize these LookUp Tables to create some spectacular photo effects called Color Filters a.k.a. Tone Effects. And then you will create a user interface similar to the Instagram filter selection screen using mouse events & trackbars in OpenCV. This is the second video i...
Mouse Events & Trackbars in OpenCV | Creating Instagram Filters - Pt ⅓
Переглядів 7062 роки тому
In this video, you will learn all the nitty-gritty details required to use Mouse Events (to select an image filter) and TrackBars (to control the intensity of filters) in OpenCV, and to kill the dryness we will learn all these concepts by building some mini-applications, so trust me you won't get bored. This is the first video in our 3 part Creating Instagram Filters series. All three videos ar...
Creating an Executable Image analysis GUI App | PyQt | TensorFlow | Mediapipe | OpenCV (10/10)#CVBCA
Переглядів 1,8 тис.2 роки тому
This is a demo video of a GUI (.exe) application in which you will learn to wrap up different face analysis models ( like the hair segmentation model, race analysis model, age and gender analysis model ) in a nice-looking user-friendly Interface. You will also learn how to compute overall metrics from an image dataset. Image Database Analysis is a very popular problem these days, so this app wi...
Real-Time Exercise Monitoring System With Pose Detection | Mediapipe | OpenCV | (9/10) #CVBCA
Переглядів 14 тис.2 роки тому
This is a demo video of an application in which you will learn to create a complete exercise monitoring system using pose detection, the application will be capable of monitoring 5 different exercises for you, it will count Squats, Biceps, Pull-ups, Push-ups & Sit-ups in real-time. People in the industry are already working on this area and creating products on this, Now you can do it too. If y...
AI Filters With Emotion Recognition Based Triggers | Mediapipe | OpenCV | (8/10) #CVBCA
Переглядів 1,2 тис.2 роки тому
This is a demo video of an application in which you will learn to Combine Emotion Recognition with AI Filters. These filters trigger when you make certain expressions. These aren't just basic filters but I’m using a Selfie segmentation model to segment me and insert background video effects behind me. Want to learn how to train custom emotion recognition models & create this app & Others? If yo...
Computer Vision For Building Cutting Edge Applications Course Trailer
Переглядів 7732 роки тому
This is the Trailer of Our Application-based Course, where we teach you how to build state-of-the-art cutting-edge vision applications. Whether you're a seasoned AI professional or someone just looking to start out in AI, this is the course that will teach you, how to Architect & Build complex, real-world, and thrilling AI applications. The only hard skill you need to take this course is python...
VR Face Makeup With Real-Time Gesture Controls | Mediapipe | OpenCV | (7/10) #CVBCA
Переглядів 1,9 тис.2 роки тому
This is a demo video of an application in which you will learn how to apply makeup the right way, … With AI. It's a VR python-based makeup solution that you can control with hand gestures. In this era of remote working and eCommerce, you can design a VR cosmetic solution and sell it to big brands. L'Oréal Paris, a cosmetic / makeup company worth 38.3 Billion Dollars already uses Computer Vision...
Merging Computer Vision & AI with Physics | Pymunk | Mediapipe | OpenCV | (6/10) #CVBCA
Переглядів 1,8 тис.2 роки тому
This is a demo video of an application in which you will learn how to create structures with actual physical properties (mass, elasticity, acceleration, and everything) by just writing in the air utilizing hand gestures. If you want a step by step tutorial on exactly how to create this, then make sure to join the course: bleedaiacademy.com/computer-vision-cutting-edge-course/ Inside the course ...
Real-Time Sign Language Recognition (CNN + LSTM) | Mediapipe | TensorFlow | OpenCV | (5/10) #CVBCA
Переглядів 8 тис.3 роки тому
This is a demo video of an application in which you will learn how to perform Real-Time Full Body Sign Language Recognition. The application, takes into account the hand, face, and body movements in a sequence of frames and feeds the landmark points to an LSTM, which then predicts the sign in real-time. If you want a step by step tutorial on exactly how to create this, then make sure to join th...
Advance Shape / Object Manipulation via Hand Gestures | Mediapipe | OpenCV | (4/10) #CVBCA
Переглядів 1,2 тис.3 роки тому
This is a demo video of an application in which you will learn how to utilize hand gesture for creating and manipulating visual elements a virtual painter with adjustable colors. Drag & Change positions of objects, Change shape & Rotate. All with hand gestures. If you want a step by step tutorial on exactly how to create this, then make sure to join the course: bleedaiacademy.com/computer-visio...
Creating an AI Director for Automating a Multi-Camera Setup | Mediapipe | OpenCV | (3/10) #CVBCA
Переглядів 1,9 тис.3 роки тому
This is a demo video of an application that processes streams from different cameras and detects facial pose, using mediapipe and some maths and then shifts the main OpenCV window based on which camera stream the user is looking at. This task of switching between live cameras is done by a Video Director or by a post-production editor, but here we’re doing with this with AI. This is not just a p...
Real-Time Style Transfer Painting Portrait | Python | Mediapipe | OpenCV (2/10) #CVBCA
Переглядів 7803 роки тому
Here's an application for every art enthusiast out there, from our upcoming premium course Computer Vision for Building Cutting Edge Applications. In this application, I use Mediapipe's Hand Landmark Detection and Neural Style Transfer to create a live experience of rendering webcam feed with Style Transfer utilizing my Hands as Paint Brushes. If you’re interested in learning exactly how I buil...
Controlling Live Video Settings By Hand Gestures | Python | Mediapipe | OpenCV (1/10) #CVBCA
Переглядів 9043 роки тому
This is a demo video of the first application out of the 10 from our upcoming course Computer Vision for Building Cutting Edge Applications. In this application, you will learn how to change the Brightness, Saturation, Contrast, and Gamma Correction of a video in real-time utilizing your hand gestures. The course will contain a detailed documented Jupyter Notebook in which we have explained the...
Deep Learning with OpenCV DNN Module | Full Course | 3 hours
Переглядів 10 тис.3 роки тому
Deep Learning with OpenCV DNN Module | Full Course | 3 hours
Reading Video Sources in OpenCV: IP Camera, Webcam, Videos & GIFS
Переглядів 9 тис.3 роки тому
Reading Video Sources in OpenCV: IP Camera, Webcam, Videos & GIFS
Creating Animated Snapchat Filters with Mediapipe | OpenCV | Python
Переглядів 17 тис.3 роки тому
Creating Animated Snapchat Filters with Mediapipe | OpenCV | Python
Automatically Generating Squid Game Memes Using OpenCV & Python
Переглядів 9593 роки тому
Automatically Generating Squid Game Memes Using OpenCV & Python
Supervised, Unsupervised, and Reinforcement Learning | AI Explained (Pt 3/4) | Episode 5 #CVFE
Переглядів 5343 роки тому
Supervised, Unsupervised, and Reinforcement Learning | AI Explained (Pt 3/4) | Episode 5 #CVFE
Human Activity Recognition using TensorFlow (CNN + LSTM) | 2 Methods
Переглядів 145 тис.3 роки тому
Human Activity Recognition using TensorFlow (CNN LSTM) | 2 Methods
Free 10 Day Course: Making a Career in Computer Vision / AI
Переглядів 1,6 тис.3 роки тому
Free 10 Day Course: Making a Career in Computer Vision / AI
5 Easy & Effective Face Detection Methods in Python | OpenCV | Dlib | Mediapipe
Переглядів 3,7 тис.3 роки тому
5 Easy & Effective Face Detection Methods in Python | OpenCV | Dlib | Mediapipe
Launching 1 on 1 Coaching: Let me help you get a Job in AI | Computer Vision
Переглядів 3333 роки тому
Launching 1 on 1 Coaching: Let me help you get a Job in AI | Computer Vision
Real-Time Fingers Counter & Hand Gesture Recognizer | Mediapipe | OpenCV | Python
Переглядів 14 тис.3 роки тому
Real-Time Fingers Counter & Hand Gesture Recognizer | Mediapipe | OpenCV | Python
Real Time 3D Hands Landmarks Detection & Classification | Mediapipe | OpenCV | Python
Переглядів 4,6 тис.3 роки тому
Real Time 3D Hands Landmarks Detection & Classification | Mediapipe | OpenCV | Python
Playing Subway Surfers Game with Body Gestures using Pose Detection | Mediapipe | OpenCV | Python
Переглядів 19 тис.3 роки тому
Playing Subway Surfers Game with Body Gestures using Pose Detection | Mediapipe | OpenCV | Python
Real-Time 3D Pose Detection & Pose Classification | Mediapipe | OpenCV | Python
Переглядів 81 тис.3 роки тому
Real-Time 3D Pose Detection & Pose Classification | Mediapipe | OpenCV | Python
Building a Smart Intruder Detection System using OpenCV, Python and Mobile Phone
Переглядів 7 тис.3 роки тому
Building a Smart Intruder Detection System using OpenCV, Python and Mobile Phone
History of AI, Rise Of Machine Learning and Deep Learning | AI Explained (Pt 2/4) | Episode 4 #CVFE
Переглядів 1,1 тис.3 роки тому
History of AI, Rise Of Machine Learning and Deep Learning | AI Explained (Pt 2/4) | Episode 4 #CVFE
Hi there love your work! Would like to ask if the email source code server is still working, cuz I've submitted it but I haven't receive the source code in my email
00:01 - Learn real-time 3D pose detection & build a post classification system 02:14 - Object detection involves classifying and localizing objects in images. 06:28 - Balancing performance and latency in pose detection 08:32 - Control variables for MediaPipe implementation 12:22 - Performing pose detection on an image 14:17 - Explaining the generation of variables for each landmark point 17:59 - Visibility variable helps filter out false detections. 19:43 - Printing and visualizing landmark points in the video 23:06 - Analysis of body posture using 3D data 24:47 - Creating a function for pose detection on images and videos 28:07 - Real-time pose detection and frame processing 29:55 - Using mediapipe for post classification and training a deep learning model with landmark points is the best approach. 33:21 - Calculating angle between landmark points and classifying poses based on angles 35:01 - Use a multi-layer perceptron for better accuracy 38:12 - Using heuristics for pose estimation has constraints and advantages 39:46 - Explaining Warrior Two, Tree Pose, and T Pose 43:14 - Exciting videos releasing soon on this channel.
I would like to ask, if I increase the number of words to 500, will this method still be effective? After studying many clips, yours seems to be the best at predicting. Thank you for your answer.
Ultron is coming.........
can someone please give me the code.....
guys i have made a entire yoga pose detector if anyone need i'll be happy to help
how to get code? it is not getting downloaded
Very well explained. Definitely would recommend this video
This video is birds eye view of open CV. It does not have any code to explain.
Good video on Pose detection with leaning towards Yoga. It would be nice if you could provide link to ur source code in video comments.
Dear Bleed Ai Academy , I saw your playlist of contour detection. It was a great explanation tutorial. I got the jupyter notebook of part 3 from the comment box of part 3 but I couldn't find part 1 & 2 anywhere. I can't access the source code link. If you could help me with the jupyter notebook of part 1 & 2.
why you are so underrated man? I found your tutorial to be one of the best in fact the best one for me over here. Please keep up the good work. I was soo lost in the project Idea that I had in mind and following your this project, I have learned a lot and have been working on my project idea after. THANK YOU
Thank you very much for your efforts, it is really a great work, but I have a question, how can I get the code? I waited a lot on the email, I did not receive any response
amazinggg!!! ty for share!!!! ty ty !!! im love it
Brother can you please provide the code and dataset for this.
hello can we use same model using WEB CAMERA to identify actions ? Thanks
Hi, by mentioning email address in the given Link doesnot send link of source code. Please send working URL to access code. Thanks
here, if we want detetect multiple classes like bike truck and car. this countor will not be help full right. even though if we keep some area threshold of each object. due to the area being small when object is too far from camera which might assign car as a bike right. . i think we have to set some mask to detect object, if it can fall under that box area of road. son the whith in that box area of contour can be identified correctly right.?
hello sir thanks for making this video but the link you shared for source code is not working so,please give the source code sir. its really helpful
hello sir, how should i get the code ??
the link is not send source code, can you give us the notebook? thank you sir
with that accent i'm trying so hard to understand what are you saying
Hi you do not continue the channel?
dear i did not get code into my mail
Code Drive Link: drive.google.com/drive/folders/1zt3Kt_KogaewsPBIbUPONQCScQWyBVKF?usp=drive_link
@@BleedAIAcademy Thank you sir
I am unable to download the code
how can i get the source code? I am not able to receive the email, after i put the email address. plz help
unable to get the code
This is really helpful, but how can i use a dataset from my device not from any online source? Thank you.
I cant download the you tube vedios from the website
amazing video , very detailed and organized .Can you use the same model to detect real -time using camera instead of uploading videos from youtube ?
The link site does not send the source code
do u still not got the link?
@@tanvish4293 I also did not get the code , please can you help me
Hii sirr
how can I download the code? the website won't work
how can I get the code? I didnt received in my mail
when is the site going to start working again
hi, Taha. I want source code .
Hi can I please have the source code
Great to learn from u sir. Pls can u provide the source code.
Source code: drive.google.com/drive/folders/1xpKpajJ85tS2iNSxCHBC1dCo2Z935H0F?usp=drive_link
hello can i use this on real time cctv video? for detecting Recognition of ppls on real time?
Github code link?
Github pe nhi dala ?
Can anyone download the code?
drive.google.com/drive/folders/1zt3Kt_KogaewsPBIbUPONQCScQWyBVKF?usp=drive_link
@@BleedAIAcademy 👌
permision to learn sir. how i can downlaod your dataset? thanks before
Complete lecture video please
Make a multi layer percepton sir ..
Access to source code doesn't work. :(
thank you
Let me save everyone some time. This video is useless; it's just a promo for a full paid course.
is it possible to do in live footage say for example live football match
where is the source code, that link doesnt working
how do i connect the database please help?