ternaus / base64ToImageConverters
Library for converting from RGB / GrayScale image to base64 and back.
☆19Updated 2 years ago
Alternatives and similar repositories for base64ToImageConverters:
Users that are interested in base64ToImageConverters are comparing it to the libraries listed below
- QUick and DIrty Domain Adaptation☆22Updated last year
- Code for reproducing IS-Count: Large-scale Object Counting with Importance Sampling (AAAI 2022)☆26Updated 2 years ago
- Various test models in WNNX format. It can view with `pip install wnetron && wnetron`☆12Updated 2 years ago
- Image data augmentation scheduler for albumentations transforms☆19Updated 3 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 4 years ago
- ☆14Updated 2 years ago
- Includes additional materials for the following keras.io blog post.☆12Updated 3 years ago
- Python Tools for Visual Dataset Transformation☆26Updated 3 months ago
- Official PyTorch implementation of RIO☆18Updated 3 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 4 years ago
- Team [Save the Prostate] - solution☆18Updated 4 years ago
- ☆15Updated 3 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- Three experiments for data efficient video transformers.☆9Updated 3 years ago
- My 1st place solution at Kaggle Hotel-ID 2021☆18Updated 3 years ago
- Task Agnostic Unsupervised Learning☆15Updated 3 years ago
- SAM-CLIP module for use with Autodistill.☆13Updated last year
- Simple and easy stable diffusion inference with LightningModule on GPU, CPU and MPS (Possibly all devices supported by Lightning).☆17Updated last year
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆27Updated 2 years ago
- An autonomous LLM-based agent that generates code to extract structured information from web pages and extracts it.☆10Updated 4 months ago
- ☆17Updated 4 years ago
- Implementing DropPath/StochasticDepth in PyTorch☆16Updated 3 years ago
- Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.☆12Updated last year
- ☆24Updated 2 years ago
- Observe the dataset of images and targets in few shots☆11Updated 2 years ago
- Surface crack images classification using PyTorch Lightning☆11Updated 4 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- State-of-the-art data augmentation search algorithms in PyTorch☆47Updated last year
- TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).☆52Updated 3 years ago
- awesome-semantic-segmentation - list of awesome things around semantic segmentation☆22Updated 2 years ago