
TickTick
Todoist
Trello
Things
Remember The Milk
Any.DO
Asana
Notion
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
TickTick
Scikit ImageUsing this specifically for school. It has all the features of microsoft to-do and google tasks. After using Notion, I became accustomed to viewing tasks in a certain date range and being able to tag assignments, which neither of the aforementioned apps could do the same way. This keeps track of all tasks, their due date, type tags, and folders separated by class. Simple and fast windows app, android app, and android widgets.
Based on our record, TickTick should be more popular than Scikit Image. It has been mentiond 51 times since March 2021. 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.
First, go to the list on the ticktick.com website. That'll give you a url like this: "https://ticktick.com/webapp/#p/123456789123456789/tasks. (The string of numbers will change depending on the particular list). The URL to jump to this list in the TickTick app is then "ticktick:///webapp/#p/123456789123456789/tasks". This works on my Mac running Sonoma. Source: over 2 years ago
What is the integration that can be used for Ticktick (ticktick.com) task/habit tracker management? They have a API. If Dakboard can not, could embed it on a webpage but what work around would that be for Dakboard? Source: almost 3 years ago
TickTick is a feature-rich and intuitive daily planner app that offers a wide array of tools to help individuals stay organized and boost productivity. With its sleek design and seamless user experience, TickTick stands out from other apps as an adaptable choice for managing tasks and schedules effectively. - Source: dev.to / about 3 years ago
Https://ticktick.com/ for ToDo, project management, habits tracking... Source: about 3 years ago
I'm sure there's examples for all the others too, but D looked a lot like TickTick's logo. Source: about 3 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
Todoist - Todoist is a to-do list that helps you get organized, at work and in life.
OpenCV - OpenCV is the world's biggest computer vision library
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.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Things - Things is an easy to use task manager.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.