Ftc tensorflow api SDK Software includes: FIRST Tech Challenge Driver Station App Includes Self-Inspect, Robot Configuration, and others FIRST Tech Challenge Robot Controller App Includes Blocks Sep 30, 2024 · API Documentation bookmark_border TensorFlow has APIs available in several languages both for constructing and executing a TensorFlow graph. If you are using a REV Robotics Control Hub, then you will need to use an external webcam, since the Control Hub does not include a built-in camera. Video made by FTC team 10309, the TechnoHuskies at Jeff Sep 21, 2021 · The FTC apps provide camera preview for ‘stream-enabled’ Op Modes using Vuforia or TensorFlow Object Detection (TFOD). Apr 2, 2025 · TensorFlow: TensorFlow is a powerful machine-learning library that can be integrated with FTC camera systems for advanced image recognition. Aug 26, 2025 · The Help page has links to team resources such as FTC Documentation, FTC Discussion Forums, Java FTC SDK API Documentation, and FTC Game Information. In this example, the "custom model" is actually the standard trained model of the 2023-2024 CENTERSTAGE game element called a Pixel. The FTC software can "grab" images from a camera and use these images to look for and track objects on the field. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources. We would like to thank Aakanksha Chowdhery, Vivek Rathod, and Ronny Votel for their help and support with TensorFlow Lite and the TensorFlow Object Detection API. Oct 7, 2021 · FTC teams can use TensorFlow Lite, a lightweight version of Google's TensorFlow machine learning technology that is designed to run on mobile devices such as an Android smartphone. The ftc-ml main workflow page is designed to facilitate the model building/training process, and is demonstrated in Figure 4. Sep 9, 2023 · The webcams and built-in Android cameras that are typically used by FTC teams have high enough resolution to allow TensorFlow to "see" an artificially magnified target clearly. Support for TensorFlow Lite was introduced to FTC in 2018. Self inspection changes: List both the Driver Station Name and Robot Controller Name when inspecting the Driver Station. tflite file from a prior season (Skystone). It includes an example, using 2 of these controls to potentially improve TensorFlow recognition in Freight Frenzy. Learn how to train TensorFlow to recognize your Custom Signal Sleeve images and more using this tool, and download models that you can use in your autonomous and driver-controlled Op Modes. This The model is trained using Google TensorFlow cloud training services using the selected datasets as training resources. If your model is a TensorFlow 1. This document describes how to connect, configure and use an New features Adds new VisionPortal API for computer vision This API may be subject to change for final kickoff release! Several new samples added. We would like to show you a description here but the site won’t allow us. If you are a very advanced user, you can use Google's TensorFlow Object Detection API to create your own custom inference model. This repository provides both PyTorch and TensorFlow implementations, enabling flexible training, validation, and inference workflows. No cloud required! - All Tensorflow 2. Removes older (season-specific) sample op modes. For FTC Blocks and Java teams, VisionPortal offers key capabilities of AprilTag and EasyOpenCV, along with TensorFlow Object Detection (TFOD) – at the same time! Dual Preview with both AprilTags and TensorFlow Jan 15, 2023 · The officially suggested technology is FTC-ML, using Machine Learning to train a custom TensorFlow Lite model. The Help page has links to team resources such as FTC Documentation, FTC Discussion Forums, Java FTC SDK API Documentation, and FTC Game Information. TensorFlow custom code used in the . Much credit to developer and Sample OpMode author @gearsincorg, EasyOpenCV developer @Windwoes, FTC Blocks developer @lizlooney, and the open-source team at OpenCV. This does not affect the process described for a custom model More than robots, it's a community. This Tensorflow inference model has been Sep 9, 2023 · The Robot Controller allows you to load an inference model that is in the form of a TensorFlow Lite (. Over the season many teams have trouble with their TensorFlow Object Detection, the cause of the inaccurate result is due to the poorly trained model that FIRST's provided in their dataset. Nov 14, 2019 · Teams who compete in the FIRST Tech Challenge (FTC) can use computer vision (CV) to help their robots navigate autonomously during a match. The resulting model of a team's Sleeve can be used in Blocks or Java Sample OpModes for TensorFlow Object Detection (TFOD). The Robot Controller allows you to load an inference model that is in the form of a TensorFlow Lite (. The user manual contains instructions on how to log into the tool, add students to team workspaces, and contains the instructions on how to get started with the tool. The FIRST Tech Challenge (FTC) offers teams the opportunity to push the boundaries of technology through its Machine Learning toolchain (FTC-ML). Dec 28, 2021 · Learn how to use tensorflow to search out the duck on the barcode in 2021's FREIGHT FRENZY game. x model, you need to let the system know it's *not* a TensorFlow 2. The linked repository contains a number of documents for installation, training (locally and in the cloud), configuring your own models, and more. Contribute to ScrewsLooseFTC/Code2025 development by creating an account on GitHub. To use this SDK, download/clone the entire project to your local computer. The size of the images are not changed, but the pixels in the margins are colored black. Vuforia will be removed in a future release. This GitHub repository contains the source code that is used to build an Android app to control a FIRST Tech Challenge competition robot. Compatibility This new software includes two Color Processors, each compatible with the FTC VisionPortal introduced in 2023. Does anyone know how to implement the TensorFlow example in the FTC SDK into an autonomous program? Oct 7, 2021 · FTC teams can use TensorFlow Lite, a lightweight version of Google's TensorFlow machine learning technology that is designed to run on mobile devices such as an Android smartphone. An easy to use API to use Tensorflow 2. FTC teams can use TensorFlow Lite, a lightweight version of Google's TensorFlow machine learning technology that is designed to run on mobile devices such as an Android smartphone. Reference material from FTC on Tensorflow: https://github. FTC Android Studio Workspace for robot programming in Android Studio - FIRST-Tech-Challenge/FtcRobotController New features Adds new VisionPortal API for computer vision This API may be subject to change for final kickoff release! Several new samples added. For the 2019-2020 FTC game, SKYSTONE, a trained inference model was developed to recognize the Stone and Skystone game pieces. , ducks and cubes) for the 2021-2022 Freight Frenzy challenge. So a couple things here. Tensorflow 1. Nov 28, 2022 · Closing this issue since the FTC SDK only supports TensorFlow Object Detection, and not TensorFlow Image Classification. New features Adds new VisionPortal API for computer vision This API may be subject to change for final kickoff release! Several new samples added. Similar to Java classes, Java This pipeline is based on the TensorFlow 2 Object Detection API and uses a tested and stable version combination, integrated with TensorRT and TensorBoard monitoring, to ensure a professional, efficient, and reproducible development experience. com Thanks for checking out the video! As always, let us know in the comments, social media, email, our Discord about any questions you may have about this tutorial. Learn how to train TensorFlow to recognize your Team Shipping Element, Freight scoring elements, and more using this tool, and download models that you can use in your autonomous and driver VisionPortal Overview FIRST Tech Challenge introduces VisionPortal, a comprehensive new interface for vision processing. On a paired Driver Station phone, with the camera connected and configured, select a stream-enabled Op Mode. 0 model: The Help page has links to team resources such as FTC Documentation, FTC Discussion Forums, Java FTC SDK API Documentation, and FTC Game Information. AprilTag Introduction Introduction A popular camera-based technology is AprilTag, a scanned image similar to a QR Code. 0 and does not expose many backend features for user customizability. 0 models that are based on the SSD (Single Shot Detector) architecture can be run using this API. Sep 18, 2024 · New features Adds new VisionPortal API for computer vision This API may be subject to change for final kickoff release! Several new samples added. This model contains the "brain" of the AI. Contribute to FTC-23511/SolversLib-Quickstart development by creating an account on GitHub. If you are looking for the current season's FTC SDK software, please visit the new and permanent home of the public FTC SDK: FtcRobotController repository Welcome! This GitHub repository contains the source code that is used to build an I'm the coach of an FTC team, and our team members made a tutorial video on how to do the custom sleeve recognitions using the FTC Machine Learning toolchain. 1: Dual Preview with both AprilTags and TensorFlow AprilTag detections include ID code and pose: tag location and orientation, relative to the camera. 2 documentation Nov 13, 2025 · For FTC Blocks and Java teams, VisionPortal offers key capabilities of AprilTag and EasyOpenCV, along with Tensor-Flow Object Detection (TFOD) – at the same time! Fig. Along with Android Studio and OnBot support, TensorFlow has block support which makes it a good choice for most teams. Dec 1, 2021 · The user manual for the FIRST Tech Challenge Machine Learning Toolchain (ftc-ml) is the starting point for all teams using the tool. Includes 64-bit support (to comply with Google Play requirements). Adds TensorFlow inference model (. Specifically, teachable machine generates Image Classification models which are not compatible with the current stock tensorflow api (and are not recommended for a lot of FTC specific tasks), whereas FMLTC creates object detection models which are compatible and can be used native Creating a TensorFlow object detection model for FTC using the FTC Machine Learning (FTC ML) website. Sponsor Star 5 Code Issues Pull requests FTC/FRC TensorFlow Object Detection Training Toolbox ftc tensorflow frc object-detection Updated on Feb 5, 2021 Python Feb 24, 2025 · SolversLib Quickstart. Sets the number of pixels to obscure on the left, top, right, and bottom edges of each image passed to the TensorFlow object detector. A trained TensorFlow model was developed to recognize game elements for the 2021-2022 Freight Frenzy challenge. TensorFlow Lite is a lightweight version of Google's TensorFlow machine learning technology that is designed to run on mobile devices such as an Android smartphone. While it is primarily used in Python, it has Java bindings suitable for FTC applications. For example, most of the "Everyday Objects" TensorFlow models are 1. x models, though this Model Zoo model is a 2. The Robot Controller allows you to load an inference The FTC object detection API offers a TensorFlow Lite based solution to detect game elements (e. 0 in FTC FIRST provides a decent Tensorflow API already packaged in the app, but it currently only supports Tensorflow 1. Adds support for detecting AprilTags. The main body of the workflow page is designed to lead the user through a chronologic workflow of building/training TensorFlow models. TensorFlow ¶ TensorFlow是谷歌的机器学习技术，可以通过训练来检测物体。 FTC SDK使用TensorFlow Lite，这是谷歌TensorFlow的轻量级版本，提供在移动设备上使用与运行。 除了支持Android Studio和OnBot之外，TensorFlow还支持图形化编程，这使得它成为大多数团队的不错选择。 This tutorial uses an FTC Blocks Sample OpMode to load and recognize a custom TensorFlow inference model. This season's TFOD model can recognize Freight elements. TensorFlow Tutorials A step-by-step guide to building and implementing your custom TensorFlow Model into both OnBot Java and the autonomous period. Configuring an External Webcam with a Control Hub Introduction The Competition Manual allows the use of USB Video Class (UVC) compatible cameras for computer vision-related tasks. Includes sample Skystone TensorFlow op modes (Blocks). A trained TensorFlow model was developed to recognize game elements for the 2020-2021 Ultimate Goal presented by QualComm challenge. Dec 26, 2022 · This basic tutorial describes 8 webcam controls available in the FTC SDK. Learn More Dec 1, 2023 · Here’s the best place to start (paying special attention to the TensorFlow Builder): Vision Processor Initialization — FIRST Tech Challenge Docs 0. This tutorial provides information about how The Help page has links to team resources such as FTC Documentation, FTC Discussion Forums, Java FTC SDK API Documentation, and FTC Game Information. Our team took on the challenge of using TensorFlow to detect a custom team prop, showcasing the power of custom machine learning models in robotics Nov 13, 2025 · Season-Specific Assets (TensorFlow models, Vuforia databases, etc hosted separately) The export is then pushed to the FtcRobotController GitHub Repository as a software release. g. Teams can train models to recognize objects or patterns, enhancing decision-making during competitions. Updated TensorFlow dependencies. FTC teams are free to use other methods to detect the Sleeve. These processors can run alongside an AprilTag processor, and replace the TensorFlow processor (removed in Nov 14, 2019 · This wiki provides information about using the FIRST Tech Challenge (FTC) control system. 0 models are theoretically supported with back compatibility, but I would highly suggest using Tensorflow 2. FTC SDK: The Robot Controller allows you to load an inference model that is in the form of a TensorFlow Lite (. In this example, however, we will use a . The process should be to export an XML file using your 3d object scan from the developer portal and put it into the assets folder, then use the concept and switch the This tool, the FIRST Tech Challenge Machine Learning toolchain (FTC-ML), allows FIRST Tech Challenge teams to create custom TensorFlow models for use in the game challenge. In this example, we will load a TensorFlow inference model from a prior FIRST Tech Challenge season. This tool, the FIRST Tech Challenge Machine Learning toolchain (FTC-ML), allows FIRST Tech Challenge teams to create custom TensorFlow models for use in the game challenge. Download the model from the ftc-ml tool, and installed either onto the Robot Controller (for OnBotJava or Blocks) or within the Android Studio assets for use on the robot. Overview of the tensorflow system as used by FTC teams. This project provides tools to train custom detection models that can be deployed to Limelight hardware. x model (TensorFlow 2 models are expected). The video shows the basic steps to create the machine learning model. The Python API is at present the most complete and the easiest to use, but other language APIs may be easier to integrate into projects and may offer some performance advantages in graph execution. Aug 2, 2025 · The Help page has links to team resources such as FTC Documentation, FTC Discussion Forums, Java FTC SDK API Documentation, and FTC Game Information. If the model is a Tensorflow Object Detection model or a Tensorflow Image Classification model you can try to write your own code or use the dev branch of EasyTensorflowAPI, if its a custom one then right now you need to write your own interface using the tensorflow lite API. Includes sample Skystone TensorFlow op modes (Java). Sep 17, 2023 · The webcams and built-in Android cameras that are typically used by FTC teams have high enough resolution to allow TensorFlow to "see" an artificially magnified target clearly. Report if the team number portion of the device names do not match. Its effectiveness and quick set-up on custom Signal Sleeves led to wide adoption in POWERPLAY (2022-2023) by FIRST Tech Challenge teams, especially those programming in Java. It is a "living document" and is intended to be a central repository for information on how to configure, program, operate, and troubleshoot the FTC control system. All of our model configuration and training has been done with the TensorFlow Object Detection API . The FTC SDK uses TensorFlow Lite, which is a lightweight version of Google’s TensorFlow designed to run on mobile devices. 0 models for accuracy and inference time reasons FTC Vision is an object detection project designed for the 2024-2025 FIRST Tech Challenge (FTC) season. An end-to-end open source machine learning platform for everyone. Using a TensorFlow Pretrained Model to Detect Everyday Objects Please reload this page Using an External UVC Camera and a Powered USB Hub Please reload this page Using an External Webcam with Control Hub Please reload this page Using Computer Vision in FTC Please reload this page Using Sensors (Android Studio) Please reload this page Using The Limelight Vision system is commonly used in FIRST Tech Challenge (FTC) competitions for computer vision and object detection tasks. Oct 28, 2020 · The Sample TensorFlow Object Detection sample op mode that is included with the Java examples can be modified to use a custom inference model. The only model generation software 100% supported by the FTC SDK is the ftc-ml tool provided to all teams. tflite) for Skystone game elements. FTC Machine Learning Toolchain This tool, the FIRST Tech Challenge Machine Learning toolchain (FTC-ML), allows FIRST Tech Challenge teams to create custom TensorFlow models for use in the game challenge. Oct 22, 2021 · What is a TensorFlow Lite? TensorFlow Lite is a lightweight version of Google's TensorFlow machine learning technology that is designed to run on mobile devices such as an Android smartphone. This repository contains the public FTC SDK for the INTO THE DEEP (2024-2025) competition season. tflite) file. GitHub - chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020: NOTICE This repository contains the public FTC SDK for the SKYSTONE (2019-2020) competition season. Although the FTC object detection API and its models have 4 days ago · Contribute to j-guad411/ftc_23842 development by creating an account on GitHub. Codebase for the 2024-2025 FTC robotics season. Photo Credit: Mike Silversides Those POWERPLAY teams, including those using FTC Blocks, learned how Dec 11, 2023 · In the world of competitive robotics, innovation and creativity are key drivers of success. First off, Tensorflow uses something different (. VisionPortal is the new entry point for both AprilTag and TFOD processing. A brief introduction to the FTC SDKFIRST Tech Challenge Software Development Kit The Software Development Kit (SDK) is the collection of tools for developing software and executing it on a FIRST Tech Challenge robot. TensorFlow for POWERPLAY presented by Raytheon Technologies What is TensorFlow? FIRST Tech Challenge teams can use TensorFlow Lite , a lightweight version of Google’s TensorFlow machine learning technology that is designed to run on mobile devices such as an Android smartphone. tflite files) which basically contain code to run an AI. Hats off to rgatkinson and Windwoes who developed these FTC webcam controls. Similar to Java classes, Java Aug 3, 2025 · FTC-Easy-TFLITE: A streamlined, local pipeline to train optimized TensorFlow Lite object detection models for FTC robots on Windows Subsystem for Linux (WSL) with NVIDIA GPUs. This FTC solution relies on Google's TensorFlow deep learning technology that is designed to run on mobile devices such as an Android smartphone or Rev Robotics control hub. You do not run vuforia through tensorflow, you want the concept vuforia detector instead. aqgxft kvftns onies ddz tcu ghm akdebhlw eml vozix goppqn aibs amvq ywq yqiyqy aqzw