handtracking VS MAX-Image-Resolution-Enhancer

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

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handtracking MAX-Image-Resolution-Enhancer
1 3
1,638 971
- 0.5%
0.0 0.0
over 2 years ago 12 months ago
Python Python
MIT License Apache License 2.0
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.

handtracking

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

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.

What are some alternatives?

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

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

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

nostril - Nostril: Nonsense String Evaluator

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

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.