image-tools

Tools for creating image-based datasets for machine learning (by lobe)

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image-tools reviews and mentions

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  • Export as tfjs layers model
    2 projects | /r/Lobe | 10 Jan 2022
    Also here is a desktop app that uses this library to show GradCAM++ heatmaps for a selected image on your filesystem: https://github.com/lobe/image-tools
  • Is there a way to back up projects / migrate across Lobe instances?
    1 project | /r/Lobe | 14 Jul 2021
    You could also use our Image Tools helper app to export your dataset into the folder structure based on the labels, and drag it back into Lobe to recreate your project from the same data source. Note that this will require training from scratch again: https://github.com/lobe/image-tools
  • Windows Image tools link/artifact expired
    1 project | /r/Lobe | 10 Jul 2021
    My team is currently working on a project to find animal abundance using hundreds of game cameras placed out in the woods. Our plan was to run the image folders from each camera (about 10k pics per camera) using the image tools desktop app (https://github.com/lobe/image-tools). After compiling 500k+ training data sets and building a model to recognize camera operating states in lobe, I noticed the image tools artifact link is expired and hasn't been updated in a while. Is there a new app or link to run large image folders locally? Are you guys working on something else that fills that role? My team is made up of wildlife biologists not programmers so any advice would be appreciated. Thanks!
  • Downloading Lobe Images
    1 project | /r/Lobe | 26 Apr 2021
    Hi! You can export images with their labels as folder names using our Image Tools utility: https://github.com/lobe/image-tools (for Mac you will need to either build the GUI app locally or use the command line).
  • Qt/QML/C++ boostrap project
    1 project | /r/Lobe | 24 Mar 2021
    I also have an example app with PyQt using Python: https://github.com/lobe/image-tools
  • Export prediction results to spreadsheet
    1 project | /r/Lobe | 22 Mar 2021
    Yes! We have a GitHub project called image-tools that let's you use a Lobe model and make predictions on thousands of photos from and to CSV or XLSX. Here is a link to the GitHub: https://github.com/lobe/image-tools
  • Share Lobe Model with another computer with Lobe installed?
    1 project | /r/Lobe | 21 Jan 2021
    The easiest way would be to share the dataset and have your friend import it and train their own model. If your images are labeled inside of Lobe and not already put in folders on your computer, you can use the python command line helper here to export your images into a labeled format: https://github.com/lobe/image-tools#export-lobe-dataset
  • How to use my model once created?
    1 project | /r/Lobe | 19 Jan 2021
    Hi! We are working to make this a lot easier at the moment. Where do your images live and how would you like to use this classification? Right now, you can check out our image-tools helper app that can classify images from web or file url's in a spreadsheet (https://github.com/lobe/image-tools). Additionally, I'm planning to give you the option in image-tools to sort folders on your filesystem based on the prediction of the Lobe model (it is possible through the command line python usage, but I'm going to add it to the app section of the tool for no-code).
  • Error using the sorted images exported from image-tools
    1 project | /r/Lobe | 19 Jan 2021
    If you are using the export your images from Lobe, that is using shutil.copyfile with our stored blob (https://github.com/lobe/image-tools/blob/master/dataset/export_from_lobe.py#L103). I believe it works across image file types because we will convert to jpg, but what were your original file formats?
  • Manually add test images?
    1 project | /r/Lobe | 11 Jan 2021
    We don't have a way of manually adding test images at the moment, but Lobe will keep an 80% train / 20% test split randomly from the data you import. It should be having 4 test images if you have 20 overall. If you want to use an outside folder as a test set of images, check out the image-tools repo we have that can help run an exported Lobe model and organize images into a folder structure based on the predicted label: https://github.com/lobe/image-tools#folder-of-images
  • A note from our sponsor - WorkOS
    workos.com | 25 Apr 2024
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Stats

Basic image-tools repo stats
10
80
0.0
11 months ago

lobe/image-tools is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of image-tools is Python.

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