sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots (by obss)

Sahi Alternatives

Similar projects and alternatives to sahi

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

sahi reviews and mentions

Posts with mentions or reviews of sahi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-22.
  • How to Detect Small Objects
    3 projects | dev.to | 22 Apr 2024
    An alternative to this is to leverage existing object detection, apply the model to patches or slices of fixed size in our image, and then stitch the results together. This is the idea behind Slicing-Aided Hyper Inference!
  • Small-Object Detection using YOLOv8
    1 project | /r/computervision | 15 Aug 2023
    Hi All, I am trying to detect defects in the images using YOLOv8where some of the classes (defectType1, defectType2) have very small bounding boxes and some of them have large bounding boxes associated with the, (defectType3, defectType4). Also, real-time operation is desired (at least 5Hz on Jetson Xavier) What I have done till now: I am primarily trying to use the SAHI technique (Slicing Aided Hyper Inference)
  • Changing labels of default YOLOv5 model
    2 projects | /r/learnmachinelearning | 12 Jul 2023
    I am using the default YOLOv5m6 model here with sahi/yolov5 library for my object detection project. I want to change just some of labels - for example when YOLO detects a human, I want it to label the human as "threat", not "person". Is there any way I can do it just changing some code, or I should train the model from scratch by just changing labels?
  • Which Azure service to host this ML model
    1 project | /r/AZURE | 29 May 2023
    I need to execute this model https://github.com/obss/sahi upon an HTTP request. I will need between 32GB and 128GB of RAM (depending on the request). Also, I will only receive this request once or twice a week (they are not predefined dates). Each process may take a few hours.
  • Library for chopping image in pieces for training
    1 project | /r/deeplearning | 9 May 2023
    https://github.com/obss/sahi should do the job
  • Semantic Segmentation with 2048x1024 images
    1 project | /r/computervision | 5 Mar 2023
    I think you have multiple options: why run inference on this large resolution? Why not run on 1024x512 or smaller. Use a smaller model which uses less memory, eg enet, erfnet, bisenet etc. Otherwise, patchbased inference is the way to go, there is a nice library, but also easy to implement yourself: https://github.com/obss/sahi
  • How to convert big TIF image to smaller jpgs
    1 project | /r/computervision | 12 Jan 2023
    i have the EXACT thing ! the libs github!
  • Roboflow 100: A New Object Detection Benchmark
    5 projects | news.ycombinator.com | 28 Dec 2022
    Good idea. I haven’t looked too closely yet at the “hard” datasets.

    We originally considered “fixing” the labels on these datasets by hand, but ultimately decided that label error is one of the challenges “real world” datasets have that models should work to become more robust against. There is some selection bias in that we did make sure that the datasets we chose passed the eye test (in other words, it looked like the user spent a considerable amount of time annotating & a sample of the images looked like they labeled some object of interest).

    For aerial images in particular my guess would be that these models suffer from the “small object problem”[1] where the subjects are tiny compared to the size of the image. Trying a sliding window based approach like SAHI[2] on them would probably produce much better results (at the expense of much lower inference speed).

    [1] https://blog.roboflow.com/detect-small-objects/

    [2] https://github.com/obss/sahi

  • Diffusion model for synthetc data generation
    1 project | /r/deeplearning | 17 Oct 2022
    I am not very experienced, but do I understand that the problem is the size of the image? If so, have you heard of sahi
  • Which model is best for detecting small objects? Yolov3? MaskRCNN, Faster-RCNN?
    2 projects | /r/computervision | 26 May 2022
    Try slicing and yolov4. https://github.com/obss/sahi
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