PixelLib VS mask-rcnn

Compare PixelLib vs mask-rcnn and see what are their differences.

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PixelLib mask-rcnn
3 1
1,008 26
- -
0.0 1.8
7 months ago about 3 years ago
Python MATLAB
MIT License 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.

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.

mask-rcnn

Posts with mentions or reviews of mask-rcnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-04.

What are some alternatives?

When comparing PixelLib and mask-rcnn 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

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

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

tpu - Reference models and tools for Cloud TPUs.

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

imagefusion_deeplearning - VggML (ICPR 2018, Beijing)

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

Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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.

awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning