#SWIPES TOOL INSTALL#

Use npm to install the javascript files and their dependencies. Navigate back to the project's root directory.

#SWIPES TOOL PLUS#

Navigate into this project's root directory.įrom inside the api directory, install the python dependencies (Flask plus more). You’ll need to have python3 and pip installed as well as npm. The application should display in your browser window. The app will run on port 5000.Ĭopy the following url into your browser's search bar and hit enter. In your browser, open the url displayed in the terminal window. Labeled/Unsure - Gets populated with the image files for which the user clicked the 'skip' button. Labeled/Labeled_Negative - Gets populated with the image files labeled negative when the user clicks 'Reject', swipes left, or presses the arrow left key on the keyboard. Labeled/Labeled_Positive - Gets populated with the image files labeled positive when the user clicks 'Accept', swipes right, or presses the right arrow key on the keyboard. This sibling directory, Labeled, will contain the following: Important Note - When you run this application, a new folder will be created for you (if doesn't already exist) under the same parent directory as your path_for_unlabeled. Python api/api.py -path_for_unlabeled=path/to/unlabelled_images_dir -batch_size=5 (Don't use 'flask run' as you might with other Flask applications.)Īs you do so, pass the complete path to the directory containing the images you want to label (as a string) as the argument -path_for_unlabeled. Run this this application as a python file. Install the python dependencies (Flask plus more).

Optionally(but recommended), create and activate a virtual environment. You’ll need to have python3 and pip installed. Use the keyboard right arrow key for “Accept”,the keyboard left arrow key for “Reject” and the down arrow key for 'Unsure'.Swipe to the right for “Accept”, left for “Reject” and down for 'Unsure'.Click on the “Accept”/“Reject”/'Unsure' buttons.The user has three ways to input the classification choice: The application then transfers the newly labeled image file from your unlabeled images directory to your chosen positive or negative directory. For each image, the user can choose to classify the image as a positive or negative/absent class using the “Accept” or “Reject” button.įor example, if you’re looking to label images as either containing or not containing a cat, the user would choose “Accept” for any images with a cat, and “Reject” for any images without a cat. Images will be picked one by one from your unlabeled images directory, and presented through the Swipe Labeler GUI. Swipe Labeler is a Graphical User Interface based tool that allows rapid labeling of image data.

Swipes tool