PixelLib VS CATNet

Compare PixelLib vs CATNet and see what are their differences.

CATNet

🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023) (by yeliudev)
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PixelLib CATNet
3 1
1,007 51
- -
0.0 3.7
6 months ago 4 months ago
Python Python
MIT License GNU General Public License v3.0 only
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.

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.

CATNet

Posts with mentions or reviews of CATNet. 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 PixelLib and CATNet you can also consider the following projects:

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

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

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

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

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

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.

edgetpu - Coral issue tracker (and legacy Edge TPU API source)

yolact - A simple, fully convolutional model for real-time instance segmentation.

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