mmrotate
mmcv
| mmrotate | mmcv | |
|---|---|---|
| 4 | 4 | |
| 1,735 | 5,611 | |
| 2.5% | 1.2% | |
| 1.6 | 7.7 | |
| 7 days ago | 12 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
mmrotate
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This Artificial Intelligence (AI) Paper Proposes a Novel Differentiable Angle Coder Named Phase Shifting Coder (PSC) to Accurately Predict the Orientation of Objects
Quick Read: https://www.marktechpost.com/2022/11/22/this-artificial-intelligence-ai-paper-proposes-a-novel-differentiable-angle-coder-named-phase-shifting-coder-psc-to-accurately-predict-the-orientation-of-objects/ Paper: https://arxiv.org/pdf/2211.06368v1.pdf Code: https://github.com/open-mmlab/mmrotate
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMRotate: OpenMMLab rotated object detection toolbox and benchmark.
- MMRotate – Rotated Object Detection
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MMRotate: A step forward for MMDetection!
MMRotate GitHub
mmcv
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMCV: OpenMMLab foundational library for computer vision.
- Mmcv - Openmmlab computer vision foundation
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An elegant and strong PyTorch Trainer
I opened source some works (AAAI 21 SeqNet, ICCV 21 MAED, etc) and earned more than 500 stars. After referring to some popular projects (detectron2, pytorch-image-models, and mmcv), based on my personal development experience, I developed a SIMPLE enough, GENERIC enough, and STRONG enough PyTorch Trainer: core-pytorch-utils, also named CPU. CPU covers most details in the process of training a deep neural network, including:
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Why do practitioners still use regular tensorflow? [D]
Pretty much any custom layer, loss, ops, etc. For some of the most common ones used for objection detection, see here, examples include rotated iou/nms, deformable convolutions, focal loss variants, sync batch norm, etc.
What are some alternatives?
a-PyTorch-Tutorial-to-Object-Detection - SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
mmyolo - OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
aiqc - End-to-end deep learning on your desktop or server.
mmflow - OpenMMLab optical flow toolbox and benchmark
mmdetection - OpenMMLab Detection Toolbox and Benchmark