@nakshatranahar
⭐ Course Contents ⭐ ⌨ (0:00:00) Intro ⌨ (0:01:18) Chapter 1 - Hand Tracking - Basics ⌨ (0:26:57) Chapter 1 - Hand Tracking - Module ⌨ (0:49:20) Chapter 2 - Pose Estimation - Basics ⌨ (1:08:25) Chapter 2 - Pose Estimation - Module ⌨ (1:28:25) Chapter 3 - Face Detection - Basics ⌨ (1:52:38) Chapter 3 - Face Detection - Module ⌨ (2:12:55) Chapter 4 - Face Mesh - Basics ⌨ (2:33:09) Chapter 4 - Face Mesh - Module ⌨ (2:52:10) Project 1 - Gesture Volume Control ⌨ (3:27:45) Project 2 - Finger Counter ⌨ (4:05:43) Project 3 - AI Personal Trainer ⌨ (4:52:55) Project 4 - AI Virtual Painter ⌨ (6:01:26) Project 5 - AI Virtual Mouse
@rewangtm
This guy's journey from simple OpenCV tutorials to this is incredible!!
@johanneschristensen9017
I just wanted to add that in chapter 1, when transforming the HandTrackingMin to a module, the Hands class from mediapipe, expects an argument for the parameter called model_complexity (at least it did for me, it did not seem to be a problem in the video). This argument should be passed right after the max number of hands is being passed. However in the video that is where the detectionCon is passed. This threw a TypeError for me because the model_complexity could not handle the non-int value it was getting from the detectionCon argument. So if you get a TypeError when dealing with the Hands class, this could be the reason. Hope it helps!
@노시훈-u4y
감사합니다.
@linzhang5144
The channel always has what I need. I've boosted my knowledge of c++ and python skills after watching some of the videos. and now BOOOOOOM a computer vision course!!
@amansharmaS
There are some arguments that we need to add in new version of python and mediapipe, i think : 1. In hand tracking (static image, max number of hands, model complexity, min detection confidence, min tracking confidence) 2. In pose estimation (static image , model_complexity, upper_body_only, smooth_landmarks, detection confidence, tracking confidence) 3. In face mesh (static image, max. no. of faces, redefine landmarks, min. detection confidence, min. tracking confidence) 4. To draw the landmarks in face mesh : mpDraw.draw_landmarks(img, faceLms, mpFaceMesh.FACEMESH_CONTOURS, drawSpec, drawSpec)
@muhammetuzun3496
I finally finished. what an adventure it was! :face-blue-smiling: Thank you to everyone who contributed 🙏
@sakshamkr1
Helped me learn a lot by understanding each step. That's what is needed from a course!
@stanleychristiand5628
aaaa... this is what i'm looking for. Thank you for this free course!!!
@arvinafzali1776
you are the first Indian developer that I can learn somthing from thanks :)
@shuaibahamed8692
Believe me or not I already knew whose course it is after seeing the thumbnail.
@jeankirstein410
for anyone one reading this you should type number 0 instant of 1 in cv2.VideoCapture and number 10 in waitKey for the cam to work on a video mode
@andymorales5718
I was just looking for a Computer Vision course. Thank you ! 😸
@ahiadh
i'm only 40 minutes in the course and WOW! thank you very much!
@hernanbermudez7959
For those having trouble with the first step setting the camera, downgrade the package protobuf to 3.20.0. It installs with mediapipe but in the version 4.21.1 and the code does not work with that version. So manually downgrade this package and you will be OK.
@santiagom91
Hi! At 2:25:00 the "FACE_CONNECTION" is not working because has been replaced by "FACEMESH_TESSELATION"!
@nikhilmatta6686
love to see murtaza workshop channel owner i am following his channel since 3 months best stuff i can say .. he was awesome
@abdghali3031
Amazing. Thanks alot. Excited for track the movement of the body video ❤👌. You are the best keep going.
@viktorbosina6269
Please continue what you are doing. As for myself, I can definitely say you are saving/improving lives ❤️❤️
@RahulSam