detectron2
pytorch-lightning
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detectron2 | pytorch-lightning | |
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48 | 8 | |
28,380 | 26,611 | |
1.6% | 3.0% | |
7.5 | 9.9 | |
6 days ago | about 13 hours ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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detectron2
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Instance segmentation of small objects in grainy drone imagery
And not enough true positives either. Add more augmentations in the config. Also make sure the config is set correctly, so that Detectron2 isn't skipping background images: https://github.com/facebookresearch/detectron2/issues/80
Similarly, I am using the more simple R50-FPN backbone (https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md) which may be too simple for grainy, small object, segmentation tasks
Thank you, I will have a look at it. I'm not that knowledgeable about existing models. Detectron2 also provides different different backbones (https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md). Is there a reason you recommend the segmentation-models library (apologies for the naive question)?
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AI Real Time (lgd for cn)
Which is built on https://github.com/facebookresearch/detectron2
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List of AI-Models
Click to Learn more...
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good computer vision or deep learning projects in github
Detectron2 (GitHub: https://github.com/facebookresearch/detectron2) is a Facebook AI Research library with state-of-the-art object detection and segmentation algorithms in PyTorch.
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Object Detection using PyTorch: Would you recommend a Framework (Detectron2, MMDetection, ...) or a project from scratch ?
That would be awesome. But I think that Detectron only provides RCNN, but I could be wrong. At least the model zoo on github looks like it.
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PyTorch 2.0 Release
I could fine-tune a Detectron2 model a few months ago using PyTorch and MPS backend [1]. I'd be interested if it's working yet.
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[P] Image search with localization and open-vocabulary reranking.
I wanted to have a few choices getting localization into image search (index and search time). I immediately thought of using a region proposal network (rpn) from mask-rcnn to create patches that can also be indexed and searched (and add the localisation). I figured it might be somewhat agnostic to classes. I did not want to use mmdetection or detectron2 due to their dependencies and just getting the rpn was not worth it. I was encouraged by the PyTorch native implementations of detection/segmentation models but ended up finding yolox the best.
pytorch-lightning
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Como empezar con inteligencia artificial?
https://see.stanford.edu/Course/CS229 https://lightning.ai/ https://www.youtube.com/watch?v=00s9ireCnCw&t=57s https://towardsdatascience.com/
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Best practice for saving logits/activation values of model in PyTorch Lightning
I've been wondering on what is the recommended method of saving logits/activations using PyTorch Lightning. I've looked at Callbacks, Loggers and ModelHooks but none of the use-cases seem to be for this kind of activity (even if I were to create my own custom variants of each utility). The ModelCheckpoint Callback in its utility makes me feel like custom Callbacks would be the way to go but I'm not quite sure. This closed GitHub issue does address my issue to some extent.
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We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning!
Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!
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An elegant and strong PyTorch Trainer
For lightweight use, pytorch-lightning is too heavy, and its source code will be very difficult for beginners to read, at least for me.
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
rembg - Rembg is a tool to remove images background
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019
car-damage-detection - Detectron2 for car damage detection using custom dataset
lnd - Lightning Network Daemon ⚡️
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
ai-background-remove - Cut out objects and remove backgrounds from pictures with artificial intelligence
Eclair - A scala implementation of the Lightning Network.