Temas relacionados
Este curso inclui
- 2 h 16 min de vídeo
- 8 lições
- Nível: Intermediário
- Idioma: English
- Guardamos onde ficaste
- Totalmente grátis, sem cartão
Aulas
1 secções · 8 aulas · 2 h 16 min duração total
Lições 1 a 88 aulas · 2 h 16 min
- OpenCV Python Tutorial #1 - Introduction & Images15 min
- OpenCV Python Tutorial #2 - Image Fundamentals and Manipulation16 min
- OpenCV Python Tutorial #3 - Cameras and VideoCapture17 min
- OpenCV Python Tutorial #4 - Drawing (Lines, Images, Circles & Text)14 min
- OpenCV Python Tutorial #5 - Colors and Color Detection14 min
- OpenCV Python Tutorial #6 - Corner Detection22 min
- OpenCV Python Tutorial #7 - Template Matching (Object Detection)22 min
- OpenCV Python Tutorial #8 - Face and Eye Detection16 min
O que precisas
- Ajuda ter bases: o curso segue a partir delas.
Descrição
Welcome to a brand new series on OpenCV and Python. I'll start this episode with a quick introduction to OpenCV, in case some of your aren't familiar with it. I'll also talk about how to install OpenCV, loading an image into OpenCV, as well as manipulating an image within OpenCV. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" https://algoexpert.io/techwithtim 📄 Relevant Documentation: https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_image_display/py_image_display.html#display-image 📝 Code For This Series: https://github.com/techwithtim/OpenCV-Tutorials 📺 Fix Pip on Windows: https://www.youtube.com/watch?v=AdUZArA-kZw&t 📺 Fix Pip on Mac: https://www.youtube.com/watch?v=E-WhAS6qzsU 🔍 Playlist: https://youtube.com/playlist?list=PLzMcBGfZo4-lUA8uGjeXhBUUzPYc6vZRn ⭐️ Timestamps ⭐️ 00:00 | Introduction & Series Overview 01:46 | Installation & Setup 05:45 | Loading an Image 07:56 | Displaying an Image 10:35 | Resizing an Image 12:45 | Rotating an Image ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The F
Para quem é este curso
- Quem já sabe o básico de Python.
Estes dois pontos são a nossa leitura do nível. A descrição é do autor.