MAX-Image-Resolution-Enhancer VS handtracking

Compare MAX-Image-Resolution-Enhancer vs handtracking and see what are their differences.

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MAX-Image-Resolution-Enhancer handtracking
3 1
972 1,638
0.6% -
0.0 0.0
12 months ago over 2 years ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

MAX-Image-Resolution-Enhancer

Posts with mentions or reviews of MAX-Image-Resolution-Enhancer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

handtracking

Posts with mentions or reviews of handtracking. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MAX-Image-Resolution-Enhancer and handtracking you can also consider the following projects:

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

UpscalerJS - Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.

nostril - Nostril: Nonsense String Evaluator

Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

MAX-OCR - MAX Optical Character Recognition

MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.

MAX-Object-Detector - Localize and identify multiple objects in a single image.

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

neural-enhance - Super Resolution for images using deep learning.