EmGarr / kerodLinks
DETR - Faster RCNN implementation in tensorflow 2
☆54Updated 3 years ago
Alternatives and similar repositories for kerod
Users that are interested in kerod are comparing it to the libraries listed below
Sorting:
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 4 years ago
- A Tensorflow implementation of the DETR object detection architecture.☆64Updated 4 years ago
- Tensorflow implementation of DETR : Object Detection with Transformers☆171Updated 3 years ago
- Python code for analysing object detection metrics☆31Updated 3 years ago
- Streamlit tool to explore coco datasets☆89Updated 3 years ago
- Wheat Detection challenge on Kaggle☆85Updated 2 years ago
- (Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.☆90Updated 4 years ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆88Updated 4 years ago
- The service for the demonstration of transforms in Albumentations library☆108Updated last year
- Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc☆68Updated 2 years ago
- Function to calculate mAP for set of detected boxes and annotated boxes.☆134Updated last year
- 9th Place Solution of Kaggle Global Wheat Detection☆145Updated 4 years ago
- A GridMixup augmentation, inspired by GridMask and CutMix☆42Updated 5 years ago
- This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)☆88Updated 2 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 6 years ago
- ☆147Updated 4 years ago
- ☆71Updated 4 years ago
- Mean Average Precision for Object Detection☆203Updated 2 years ago
- Pytorch augmentation☆119Updated 2 years ago
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆39Updated 5 years ago
- Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping☆70Updated 4 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆87Updated 3 years ago
- This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code…☆75Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 4 years ago
- Custom implementation of EfficientDet https://arxiv.org/abs/1911.09070☆97Updated 2 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆118Updated 5 years ago
- Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset☆57Updated 6 years ago
- Bounding Box is a library to plot pretty bounding boxes with a simple Python API.☆101Updated last year
- A User Interface for DETR built with Dash. 100% Python.☆179Updated 2 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆86Updated 4 years ago