Mask-RCNN-TF2 VS These-People-Do-Not-Exist

Compare Mask-RCNN-TF2 vs These-People-Do-Not-Exist and see what are their differences.

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Mask-RCNN-TF2 These-People-Do-Not-Exist
1 2
299 15
- -
1.3 0.0
about 1 year ago over 2 years ago
Python Python
GNU General Public License v3.0 or later -
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.

Mask-RCNN-TF2

Posts with mentions or reviews of Mask-RCNN-TF2. We have used some of these posts to build our list of alternatives and similar projects.

These-People-Do-Not-Exist

Posts with mentions or reviews of These-People-Do-Not-Exist. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-28.
  • Github
    4 projects | /r/Kenya | 28 Dec 2021
    two
  • TinyML: Deploying TensorFlow models to Android
    3 projects | dev.to | 24 Aug 2021
    A while back, researchers at NVIDIA released StyleGAN, a machine learning model that synthesizes images of pretty much anything from random noise, say images of landscapes, art, people, or vehicles. I saw a demo of it and it honestly blew my mind. Shortly after I implemented StyleGAN myself.

What are some alternatives?

When comparing Mask-RCNN-TF2 and These-People-Do-Not-Exist you can also consider the following projects:

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

IAmNotReal - App that uses machine learning to generate human faces

ssd_keras - A Keras port of Single Shot MultiBox Detector

deepfake-scanner - Deepfake Scanner by Deepware.

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Crystal-Rush - An open world platformer game

FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.

robin - RObust document image BINarization