LifeSum
MyFitnessPal
Cronometer
Eat This Much
Lose it!
YAZIO
Noom
Runtastic
OpenCV
Scikit-learn
NumPy
Pandas
Dataiku
Exploratory
htm.java
WEKA
LifeSum OpenCVBased on our record, OpenCV should be more popular than LifeSum. It has been mentiond 60 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.
A last note to my progress is that I started using Lifesum to track calorie intake and macro nutrients after my weight loss, in order to find my balance and gain a more healthy relationship with eating - I learned so much from that. I was straight up practising malnutrition and had a very unhealthy fear of carbs and fat for a long time - but I also needed to loose that weight, maybe just not THAT fast 🙈. Source: about 2 years ago
I don't have the premium version but if you're willing to shell the $, Lifesum has a beautiful interface, barcode scanning, recipes, and nutrition tracking info. You'll get macros at the free level. Source: over 2 years ago
*** For what it's worth, I'm switching to Lifesum for tracking calories. I looked at the majority of major apps, and this seems like it fits best for me. ***. Source: over 2 years ago
I use Lifesum. Best user experience from all the apps I’ve used before. It’s paid but I think it’s pretty cheap ($23 /year) https://lifesum.com. Source: almost 3 years ago
I’ve only tried Lifesum and Yazio. Recommend them both. Source: almost 3 years ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 2 months ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 6 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 9 months ago
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Cronometer - A big trend in today’s world is health and fitness, particularly in recording nutritional information. There are several options available to achieve this result.
NumPy - NumPy is the fundamental package for scientific computing with Python
Eat This Much - Eat This Much is an app that helps with meal planning for the week or the month.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.