Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
Imgaug Alternatives
Similar projects and alternatives to imgaug
-
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
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
autoalbument
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
png
A pure Erlang library for creating PNG images. It can currently create 8 and 16 bit RGB, RGB with alpha, indexed, grayscale and grayscale with alpha images.
-
python-wifi-survey-heatmap
A Python application for Linux machines to perform WiFi site surveys and present the results as a heatmap overlayed on a floorplan
imgaug reviews and mentions
- How to label augmented images for training YOLO algorithm?
-
Improve Your Deep Learning Models with Image Augmentation
There are many good options when it comes to tools and libraries for implementing data augmentation into our deep learning pipeline. You could for instance do your own augmentations using NumPy or Pillow. Some of the most popular dedicated libraries for image augmentation include Albumentations, imgaug, and Augmentor. Both TensorFlow and PyTorch even come with their own packages dedicated to image augmentation.
-
[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models
https://github.com/aleju/imgaug This one is way better for image.
-
[UPDATE!] Recognize trinkets with Isaac Item Recognizer! And also a few useful features in my newest update.
I have to improve my dataset with more backgrounds featuring obstacles. At the moment I'm working on creating a dataset with both items and trinkets, and I'm planning on using https://github.com/aleju/imgaug which will replace most of the stuff I'm doing with PIL.
-
Support creation of tf.data.Dataset (data generator) and augmentation for image.
Do you acknowledge that there is ImageDataGenerator and ImgAug?
-
[P] Albumentations 1.0 is released (a Python library for image augmentation)
Albumentations no longer uses the imgaug library by default. All previous imgaug augmentations in the library are reimplemented in Albumentations with the same API (but you can still install Albumentations with imgaug if you need the old augmentations).
-
Bounding boxes do not completely wrap the objects with YOLOv4
I would also recommend you to give a try to TensorFlow Object Detection Model - https://github.com/tensorflow/models/tree/master/research/object_detection with augmentation - https://github.com/aleju/imgaug pipeline. The same worked for me in a similar use case where I had to localise logo on documents.
-
A note from our sponsor - InfluxDB
www.influxdata.com | 26 Apr 2024
Stats
aleju/imgaug is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of imgaug is Python.
Sponsored