Mmdetection Alternatives

Similar projects and alternatives to mmdetection

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better mmdetection alternative or higher similarity.

mmdetection reviews and mentions

Posts with mentions or reviews of mmdetection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.
  • Semantic segementation
    2 projects | /r/computervision | 12 Apr 2023
    When I look for benchmarks I always start here https://paperswithcode.com/task/instance-segmentation/codeless it has the lists of datasets to measure models accross lots o papers. Many are very specific models with low support or community but it gives you a good idea of ​​the state of the art. It also lists repositories related to good community. https://github.com/open-mmlab/mmdetection seems very active and the one that is being used the most, you could use the models that it has integrated in its model zoo, within the same repository. It has the benchmarks to compare those same models and some of them are from 2022
  • How to Convert Model Mask into Polygon and save JSON?
    1 project | /r/deeplearning | 18 Jan 2023
    MODEL: https://github.com/open-mmlab/mmdetection
  • Object Detection Model for Custom Dataset Training?
    1 project | /r/learnmachinelearning | 11 Jan 2023
    Would it make sense to work with OpenMMLab (https://github.com/open-mmlab/mmdetection) or Pytorch-image-models (https://github.com/rwightman/pytorch-image-models#models) since they offer a variety of models?
  • [P] Image search with localization and open-vocabulary reranking.
    8 projects | /r/MachineLearning | 15 Dec 2022
    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.
  • MMDeploy: Deploy All the Algorithms of OpenMMLab
    22 projects | /r/u_Allent_pjlab | 21 Nov 2022
    MMDetection: OpenMMLab detection toolbox and benchmark.
  • Removing the bounding box generated by OnnxRuntime segmentation
    2 projects | /r/computervision | 4 Nov 2022
    I have a semantic segmentation model trained using the mmdetection repo. Then it is converted to the ONNX format using the mmdeploy repo.
  • Keras vs Tensorflow vs Pytorch for a Final year Project
    2 projects | /r/tensorflow | 10 Oct 2022
    E.g. If you consider it an object detection problem it is: detect and localise all the pedestrians in a frame, and classify them by their (intended) action. IMO the easiest way to do this would be with mmdetection, which is built on top of pytorch. Just label your dataset, build a config, and boom you have a model. Inference with that model in only a few lines of code, you won't really need to learn too much to get started.
  • DeepSort with PyTorch(support yolo series)
    13 projects | /r/u_No_Experience9104 | 20 Sep 2022
    MMDetection
  • [D] Pre-trained networks and batch normalization
    1 project | /r/MachineLearning | 15 Sep 2022
    For example, in mmdetection, they expose options in their config & implementation to freeze batch norm layers in backbones and in this config, norm_eval is set to True meaning to freeze tracking of batch norm stats, while the ResNet backbone is frozen up to the 1st stage. Example of their backbone implementation can be found here.
  • Config files in plain Python
    3 projects | /r/Python | 25 Aug 2022
    MMDetection uses config Python scripting. It's easier to define nn.Module objects other than writing class name in a json config file
  • A note from our sponsor - SaaSHub
    www.saashub.com | 18 May 2024
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