Python Face Detection and Face Mesh (python OpenCV & MediaPipe package)
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- Опубликовано: 26 авг 2024
- 📌 Tutorial on Python Face Detection and Face Mesh (python OpenCV & MediaPipe package). In this video, we will do face detection and we will add face mesh to out face detection using OpenCV and MediaPipe package in python programming language.
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▶️ Face Detection using OpenCV and MediaPipe (Previous Video):
• Python Face Detection ...
▶️ How to install PyCharm (one my favorite Python IDEs and the one I used in this video):
• How to download and in...
▶️ How to install Jetbrains DataSpell IDE (one my favorite Python IDEs) [which is like PyCharm]:
• How to download and in...
▶️ Our Machine Learning Tutorial Playlist:
• Machine Learning
▶️ PyCharm Tutorial Playlist (Tips and Tricks):
• PyCharm Tutorial for P...
▶️ Jupyter Notebook Tutorial playlist:
• Jupyter Notebook Tutorial
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➖ Source Code:
t.me/Koolac_Da...
I get this issue: import mediapipe as mp
ModuleNotFoundError: No module named 'mediapipe'
This is an Excellent tutorial!! Thank you so much!
Muy bueno!!.
El FaceMesh(refine_landmarks=True) no debería estar afuera del While?
thank you for your video
how can I use mashs to train module for face recognition solutions ?
👏👏
Thank you Milad. It's Nice of You.
hi i want to know how to save detected face mesh into obj or fbx format
line 12
img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
^
IndentationError: unindent does not match any outer indentation level
how to resolv this
Period instead of comma