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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better detectron2 alternative or higher similarity.
detectron2 reviews and mentions
Posts with mentions or reviews of detectron2.
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List of AI-Models
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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.
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Detecting Out-of-Distribution Datapoints via Embeddings or Predictions
You should already be able to use the code for object detection data if you do the outlier detection based on feature embeddings rather than predictions! You just need to get embeddings out of your object detection network, as demonstrated here for example: https://detectron2.readthedocs.io/en/latest/tutorials/models.html#partially-execute-a-model https://github.com/facebookresearch/detectron2/issues/5
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[R] detrex: the open source toolbox for Transformer based object detection algorithms
detrex was built on detectron2 and we used the powerful LazyConfig system for more flexible syntax and cleaner config files.
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Deploying video object segmentation at scale in a day
We've been building a ton of infrastructure to process a lot of video data very quickly at Sieve, and video object segmentation is a cool task a lot of companies have used us for. Models like MiVOS and PointRend have made it possible for companies like RunwayML to build these ML-based video editing features like green screen. We wrote about how you might go about building this yourself in a day.
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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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A note from our sponsor - InfluxDB
www.influxdata.com | 8 Jun 2023
Stats
Basic detectron2 repo stats
40
25,063
6.2
7 days ago
facebookresearch/detectron2 is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of detectron2 is Python.
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