onlyphantom/cvessentials
Tutorial Series (60 hour course): Essentials of computer vision
This course helps computer vision practitioners or aspiring data scientists understand fundamental image processing and analysis techniques. It provides detailed explanations and Python code examples for tasks like image transformation, feature extraction (edges, contours), and object recognition, using standard image files as input and producing processed images or analytical insights as output. It's designed for individuals looking to build a strong theoretical and practical foundation in computer vision without immediately diving into deep learning.
190 stars. No commits in the last 6 months.
Use this if you want to learn the core mathematical principles and practical Python implementations behind essential computer vision tasks, focusing on classical techniques rather than deep learning.
Not ideal if you are solely interested in applying pre-built deep learning models for computer vision or need a quick, high-level overview without deep dives into mathematical underpinnings.
Stars
190
Forks
63
Language
HTML
License
—
Category
Last pushed
Jun 11, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/onlyphantom/cvessentials"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
opencv/opencv
Open Source Computer Vision Library
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
kornia/kornia
🐍 Geometric Computer Vision Library for Spatial AI
ermig1979/Simd
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX ...
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™