plotly / dash-detr
A User Interface for DETR built with Dash. 100% Python.
☆179Updated 2 years ago
Alternatives and similar repositories for dash-detr
Users that are interested in dash-detr are comparing it to the libraries listed below
Sorting:
- Streamlit tool to explore coco datasets☆88Updated 3 years ago
- Custom implementation of EfficientDet https://arxiv.org/abs/1911.09070☆96Updated 2 years ago
- Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in Tens…☆160Updated 3 years ago
- Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes☆353Updated 3 years ago
- Helper for dealing with MS-COCO annotations☆91Updated 8 months ago
- Convert Open Images annotations into MS Coco format to make it a drop in replacement☆114Updated 4 years ago
- Convert VOC format XMLs to COCO format json☆99Updated 5 years ago
- Bounding box augmentations for Pytorch☆122Updated 4 years ago
- Anchor optimization for RetinaNet.☆115Updated 4 years ago
- A Tensorflow implementation of the DETR object detection architecture.☆62Updated 3 years ago
- Mish Activation Function for PyTorch☆148Updated 4 years ago
- Bounding Box is a library to plot pretty bounding boxes with a simple Python API.☆99Updated last year
- Modular image processing pipeline using OpenCV and Python generators powered by Detectron2.☆88Updated 4 years ago
- YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!☆131Updated 3 years ago
- Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut,…☆290Updated 4 years ago
- This repo contains a minimalist implementation of centernet.☆56Updated 4 years ago
- FoveaBox: Beyond Anchor-based Object Detector☆367Updated last year
- Visualisation tool for CNNs in pytorch☆254Updated 2 years ago
- A fork of Detectron2 with ResNeSt backbone☆387Updated last year
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models☆451Updated 3 years ago
- Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset☆55Updated 5 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆206Updated 3 years ago
- An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.☆121Updated 6 years ago
- Object detection on multiple datasets with an automatically learned unified label space.☆505Updated last year
- Semi-supervised learning for object detection☆411Updated 2 years ago
- PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models☆251Updated 4 years ago
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆40Updated 4 years ago
- (Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH☆612Updated last year
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- K-Means anchors ratios calculator.☆108Updated 4 years ago