NKvision428/Tasks_for_Rookies
视觉实验室新手任务
This provides a structured onboarding guide for new members joining a computer vision research lab. It helps them quickly get up to speed on essential research practices, academic communication, and the technical fundamentals of machine learning and deep learning. The primary users are new graduate students or junior researchers entering a computer vision research environment.
159 stars. No commits in the last 6 months.
Use this if you are a new member of a computer vision research lab and need a clear roadmap for developing core research skills and understanding the domain.
Not ideal if you are an experienced researcher or are looking for advanced, highly specialized technical tutorials outside of a new-hire onboarding context.
Stars
159
Forks
34
Language
—
License
—
Category
Last pushed
Jun 14, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NKvision428/Tasks_for_Rookies"
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
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
ermig1979/Simd
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX ...