ml-cvnets VS PixelLib

Compare ml-cvnets vs PixelLib and see what are their differences.

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ml-cvnets PixelLib
4 3
1,681 1,014
1.4% -
4.8 0.0
6 months ago 7 months ago
Python Python
GNU General Public License v3.0 or later 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.

ml-cvnets

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

PixelLib

Posts with mentions or reviews of PixelLib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

What are some alternatives?

When comparing ml-cvnets and PixelLib you can also consider the following projects:

semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

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

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation

dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images