Views<\/p>\n
What you’ll learn:
Understand the basic intuition about Cascade and HOG classifiers to detect faces
Implement face detection using OpenCV and Dlib library
Learn how to detect other objects using OpenCV, such as cars, clocks, eyes, and full body of people
Compare the results of three face detectors: Haarcascade, HOG (Histogram of Oriented Gradients) and CNN (Convolutional Neural Networks)
Detect faces using images and the webcam
Understand the basic intuition about LBPH algorithm to recognize faces
Implement face recognition using OpenCV and Dlib library
Recognize faces using images and the webcam
Understand the basic intuition about KCF and CSRT algorithms to perform object tracking
Learn how to track objects in videos using OpenCV library
v.v…<\/p>\n
Description:
Computer Vision (Th\u1ecb gi\u00e1c m\u00e1y t\u00ednh)
l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c ph\u1ee5 c\u1ee7a Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o t\u1eadp trung v\u00e0o vi\u1ec7c t\u1ea1o ra c\u00e1c h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 x\u1eed l\u00fd, ph\u00e2n t\u00edch v\u00e0 x\u00e1c \u0111\u1ecbnh d\u1eef li\u1ec7u h\u00ecnh \u1ea3nh theo c\u00e1ch t\u01b0\u01a1ng t\u1ef1 nh\u01b0 m\u1eaft ng\u01b0\u1eddi. C\u00f3 nhi\u1ec1u \u1ee9ng d\u1ee5ng th\u01b0\u01a1ng m\u1ea1i trong c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0: an ninh, ti\u1ebfp th\u1ecb, ra quy\u1ebft \u0111\u1ecbnh v\u00e0 s\u1ea3n xu\u1ea5t. \u0110i\u1ec7n tho\u1ea1i th\u00f4ng minh s\u1eed d\u1ee5ng
Computer Vision
\u0111\u1ec3 m\u1edf kh\u00f3a c\u00e1c thi\u1ebft b\u1ecb b\u1eb1ng nh\u1eadn d\u1ea1ng khu\u00f4n m\u1eb7t, xe t\u1ef1 l\u00e1i s\u1eed d\u1ee5ng n\u00f3 \u0111\u1ec3 ph\u00e1t hi\u1ec7n ng\u01b0\u1eddi \u0111i b\u1ed9 v\u00e0 gi\u1eef kho\u1ea3ng c\u00e1ch an to\u00e0n v\u1edbi c\u00e1c xe kh\u00e1c, c\u0169ng nh\u01b0 camera an ninh s\u1eed d\u1ee5ng n\u00f3 \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh xem c\u00f3 ng\u01b0\u1eddi trong m\u00f4i tr\u01b0\u1eddng \u0111\u1ec3 b\u00e1o \u0111\u1ed9ng hay kh\u00f4ng \u0111\u01b0\u1ee3c k\u00edch ho\u1ea1t.<\/p>\n
Link g\u1ed1c:
https:\/\/www.udemy.com\/course\/computer-vision-masterclass\/ <\/p>\n
Time Course:
31.5 hours (19 Lectures + Documents)<\/p>\n
Instructor
: The R9ck
Total Weight:
\u00a012 GB
** Note
: \u00a0<\/p>\n
Ch\u00fa \u00fd:<\/p>\n
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