imageset-viewer VS chitra

Compare imageset-viewer vs chitra and see what are their differences.

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imageset-viewer chitra
1 1
64 224
- 0.4%
4.4 3.2
10 months ago about 1 month ago
Python Python
MIT License Apache License 2.0
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.

imageset-viewer

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

chitra

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

What are some alternatives?

When comparing imageset-viewer and chitra you can also consider the following projects:

review_object_detection_metrics - Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

tf-keras-vis - Neural network visualization toolkit for tf.keras

coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter

img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

gallery - BentoML Example Projects 🎨

bbox-visualizer - Make drawing and labeling bounding boxes easy as cake

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

pytest-visual - A visual testing framework for ML with automated change detection

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"