UniFormer VS labelme2coco

Compare UniFormer vs labelme2coco and see what are their differences.

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UniFormer labelme2coco
5 1
781 247
- -
3.7 3.8
about 1 month ago 12 days ago
Python Python
Apache License 2.0 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.
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UniFormer

Posts with mentions or reviews of UniFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-31.

labelme2coco

Posts with mentions or reviews of labelme2coco. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.
  • What's A Simple Custom Segmentation Pipeline?
    3 projects | /r/computervision | 12 Feb 2021
    I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.

What are some alternatives?

When comparing UniFormer and labelme2coco you can also consider the following projects:

CoreML-Models - Converted CoreML Model Zoo.

labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.

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

bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

autogluon - Fast and Accurate ML in 3 Lines of Code

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

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

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

D3DShot - Extremely fast and robust screen capture on Windows with the Desktop Duplication API