cnn-raccoon VS PixelLib

Compare cnn-raccoon vs PixelLib and see what are their differences.

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cnn-raccoon PixelLib
3 3
31 1,014
- -
0.0 0.0
over 3 years ago 7 months 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.

cnn-raccoon

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

GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

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

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

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.

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

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

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.