
Todoist
Trello
Asana
TickTick
Notion
Remember The Milk
ClickUp
Things
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Todoist
Scikit ImageBased on our record, Todoist seems to be a lot more popular than Scikit Image. While we know about 134 links to Todoist, we've tracked only 7 mentions of Scikit Image. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Daily task automation is a powerful tool for enhancing efficiency, productivity, and well-being. By automating repetitive tasks, individuals and businesses can save time, reduce errors, and focus on creative and strategic work. With tools like Todoist, Zapier, and Fireflies, automation is more accessible than ever. Current trends, such as the rise of AI and its adoption by 61% of small businesses, highlight its... - Source: dev.to / about 1 year ago
Write down your daily tasks in a notebook. After completing each task, put a tick next to it. This gives you a great sense of reward like youโve accomplished something. If thereโs something you cannot work on during the day, record it in a task-management app like Trello or Todoist. - Source: dev.to / over 1 year ago
Todoist: A powerful task manager that lets you organize tasks, set priorities, and collaborate with others. - Source: dev.to / almost 2 years ago
I'm curious how this is better than (or even significantly different to) Todoist [1], a well-established cross platform application which also supports natural language task creation [2] and a keyboard-driven workflow [3]. [1]: https://todoist.com/. - Source: Hacker News / over 2 years ago
Todoist is renowned for its simplicity and powerful task management features, making it one of the best shared to-do list apps for couples in 2024. Whether it's managing household tasks or planning a big event, Todoist helps couples stay organized and focused. - Source: dev.to / over 2 years ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / over 2 years ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 2 years ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 3 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: over 4 years ago
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
OpenCV - OpenCV is the world's biggest computer vision library
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
TickTick - TickTickis a cross-platform to-do list app & task manager helps you to get all things done and make life well organized.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.