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q{rR#Ctp1v*c}7&I_z^*UKcA|Z#f4HIpXkvxwpQ)iS+#D}>i+<#%7Nej literal 0 HcmV?d00001 diff --git a/docs/source/docs/contributing/design-descriptions/e2e-latency.md b/docs/source/docs/contributing/design-descriptions/e2e-latency.md new file mode 100644 index 0000000000..3417626d05 --- /dev/null +++ b/docs/source/docs/contributing/design-descriptions/e2e-latency.md @@ -0,0 +1,136 @@ +# Latency Characterization + + +## A primer on time + +Expecially starting around 2022 with AprilTags making localization easier, providing a way to know when a camera image was captured at became more important for localization. +Since the [creation of USBFrameProvider](https://github.com/PhotonVision/photonvision/commit/f92bf670ded52b59a00352a4a49c277f01bae305), we used the time [provided by CSCore](https://github.wpilib.org/allwpilib/docs/release/java/edu/wpi/first/cscore/CvSink.html#grabFrame(org.opencv.core.Mat)) to tell when a camera image was captured at, but just keeping track of "CSCore told us frame N was captured 104.21s after the Raspberry Pi turned on" isn't very helpful. We can decompose this into asking: + +- At what time was a particular image captured at, in the coprocessor's timebase? +- How do I convert a time in a coprocessor's timebase into the RoboRIO's timebase, so I can integrate the measurement with my other sensor measurements (like encoders)? + +The first one seems easy - CSCore tells us the time, so just keep track of that? Should be easy. For the second, translating this time, as measured by the coprocessor's clock, into a timebase also used by user code on the RoboRIO, is actually a [fairly hard problem](time-sync.md) that involved reinventing [PTP](https://en.wikipedia.org/wiki/PTP). + +And on latency vs timestamps - PhotonVision has exposed a magic "latency" number since forever, but latency (as in, the time from image capture to acting on data) can be useful for benchmarking code, but robots actually want to answer "what time was this image from, relative to "? + + +## CSCore's Frame Time + +WPILib's CSCore is a platform-agnostic wrapper around Windows, Linux, and MacOS camera APIs. On Linux, CSCore uses [Video4Linux](https://en.wikipedia.org/wiki/Video4Linux) to access USB Video Class (UVC) devices like webcams, as well as CSI cameras on some platforms. At a high level, CSCore's [Linux USB Camera driver](https://github.com/wpilibsuite/allwpilib/blob/17a03514bad6de195639634b3d57d5ac411d601e/cscore/src/main/native/linux/UsbCameraImpl.cpp) works by: + +- Opening a camera with `open` +- Creating and `mmap`ing a handful of buffers V4L will fill with frame data into program memory +- Asking V4L to start streaming +- While the camera is running: + - Wait for new frames + - Dequeue one buffer + - Call `SourceImpl::PutFrame`, which will copy the image out and convert as needed + - Return the buffer to V4L to fill again + +Prior to https://github.com/wpilibsuite/allwpilib/pull/7609, CSCore used the [time it dequeued the buffer at](https://github.com/wpilibsuite/allwpilib/blob/17a03514bad6de195639634b3d57d5ac411d601e/cscore/src/main/native/linux/UsbCameraImpl.cpp#L559) as the image capture time. But this doesn't account for exposure time or latency introduced by the camera + USB stack + Linux itself. + +V4L does expose (with some [very heavy caviets](https://github.com/torvalds/linux/blob/fc033cf25e612e840e545f8d5ad2edd6ba613ed5/drivers/media/usb/uvc/uvc_video.c#L600) for some troublesome cameras) its best guess at the time an image was captured at via [buffer flags](https://www.kernel.org/doc/html/v4.9/media/uapi/v4l/buffer.html#buffer-flags). In my testing, all my cameras were able to provide timestamps with both these flags set: +- `V4L2_BUF_FLAG_TIMESTAMP_MONOTONIC`: The buffer timestamp has been taken from the CLOCK_MONOTONIC clock [...] accessible via `clock_gettime()`. +- `V4L2_BUF_FLAG_TSTAMP_SRC_SOE`: Start Of Exposure. The buffer timestamp has been taken when the exposure of the frame has begun. + +I'm sure that we'll find a camera that doesn't play nice, because we can't have nice things :). But until then, using this timestamp gets us a free accuracy bump. + +Other things to note: This gets us an estimate at when the camera *started* collecting photons. The camera's sensor will remain collecitng light for up to the total integration time, plus readout time for rolling shutter cameras. + +## Latency Testing + +Here, I've got a RoboRIO with an LED, an Orange Pi 5, and a network switch on a test bench. The LED is assumed to turn on basically instantly once we apply current, and based on DMA testing, the total time to switch a digital output on is on the order of 10uS. The RoboRIO is running a TimeSync Server, and the Orange Pi is running a TimeSync Client. + +### Test Setup + +

+Show RoboRIO Test Code + +```java +package frc.robot; + +import org.photonvision.PhotonCamera; + +import edu.wpi.first.wpilibj.DigitalOutput; +import edu.wpi.first.wpilibj.TimedRobot; +import edu.wpi.first.wpilibj.Timer; +import edu.wpi.first.wpilibj.smartdashboard.SmartDashboard; + +public class Robot extends TimedRobot { + PhotonCamera camera; + DigitalOutput light; + + @Override + public void robotInit() { + camera = new PhotonCamera("Arducam_OV9782_USB_Camera"); + + light = new DigitalOutput(0); + light.set(false); + } + + @Override + public void robotPeriodic() { + super.robotPeriodic(); + + try { + light.set(false); + for (int i = 0; i < 50; i++) { + Thread.sleep(20); + camera.getAllUnreadResults(); + } + + var t1 = Timer.getFPGATimestamp(); + light.set(true); + var t2 = Timer.getFPGATimestamp(); + + + for (int i = 0; i < 100; i++) { + for (var result : camera.getAllUnreadResults()) { + if (result.hasTargets()) { + var t3 = result.getTimestampSeconds(); + var t1p5 = (t1 + t2) / 2; + var error = t3-t1p5; + SmartDashboard.putNumber("blink_error_ms", error * 1000); + return; + } + } + + Thread.sleep(20); + } + } catch (InterruptedException e) { + e.printStackTrace(); + } + } +} +``` +
+ +I've decreased camera exposure as much as possible (so we know with reasonable confidence that the image was collected right at the start of the exposure time reported by V4L), but we only get back new images at 60fps. So we don't know when between frame N and N+1 the LED turned on - just that somtime between now and 1/60th of a second a go, the LED turned on. + +The test coprocessor was an Orange Pi 5 running a PhotonVision 2025 (Ubuntu 24.04 based) image, with an ArduCam OV9782 at 1280x800, 60fps, MJPG running a reflective pipeline. + + +### Test Results + +The videos above show the difference between when the RoboRIO turned the LED on and when PhotonVision first seeing a camera frame with the LED on, what I've called error and plotted in yellow with units of seconds. This error decreases when I use the frame time reported by V4L from a mean delta of 26 ms to a mean delta of 11 ms (below the maximum temporal resolution of my camera). + +Old CSCore: +```{raw} html + +``` +CSCore using V4L frame time: +```{raw} html + +``` + +With the camera capturing at 60fps, the time between successive frames is only ~16.7 ms, so I don't expect to be able to resolve anything smaller. Given sufficient time and with perfect latency compensation, and with more noise in the robot program to make sure we vary LED toggle times, I'd expect the error to converge to ~half the interval between frames - so being within this frame interval with CSCore updates is a very good sign. + +### Future Work + +This test also makes no effort to isolate error from time syncronization from error introduced by frame time measurement - we're just interested in overall error. Future work could investigate the latency contribution diff --git a/docs/source/docs/contributing/design-descriptions/index.md b/docs/source/docs/contributing/design-descriptions/index.md index ec0855d3b5..b6e706271a 100644 --- a/docs/source/docs/contributing/design-descriptions/index.md +++ b/docs/source/docs/contributing/design-descriptions/index.md @@ -5,4 +5,5 @@ image-rotation time-sync camera-matching +e2e-latency ``` From d05032963d730a89b07c9cd1afbac8a5ae12e2ca Mon Sep 17 00:00:00 2001 From: Matt Morley Date: Sun, 12 Jan 2025 11:34:36 -0700 Subject: [PATCH 2/6] Create new tag workflow (#1645) --- .github/workflows/cut-new-tag.yml | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 .github/workflows/cut-new-tag.yml diff --git a/.github/workflows/cut-new-tag.yml b/.github/workflows/cut-new-tag.yml new file mode 100644 index 0000000000..cb14ea903f --- /dev/null +++ b/.github/workflows/cut-new-tag.yml @@ -0,0 +1,17 @@ +name: Cut a new tag + +on: + workflow_dispatch: + inputs: + tag_name: + type: string + description: The full name of the new tag to push to the latest commit to main + +jobs: + push_tag: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + - run: git tag ${{ github.event.inputs.tag_name }} + - run: git push origin ${{ github.event.inputs.tag_name }} From 03ff9357d7a1f67f2d0fd376a6b6303234b0fcbf Mon Sep 17 00:00:00 2001 From: person4268 <28717044+person4268@users.noreply.github.com> Date: Sun, 12 Jan 2025 16:23:59 -0500 Subject: [PATCH 3/6] Remove nonfunctional ignore-cameras CLI arg (#1708) The underlying logic appears to have been removed. I don't think anyone really used this option, and the new camera matching stuff makes it redundant. --- photon-server/src/main/java/org/photonvision/Main.java | 5 ----- 1 file changed, 5 deletions(-) diff --git a/photon-server/src/main/java/org/photonvision/Main.java b/photon-server/src/main/java/org/photonvision/Main.java index ee79616814..2e07c52700 100644 --- a/photon-server/src/main/java/org/photonvision/Main.java +++ b/photon-server/src/main/java/org/photonvision/Main.java @@ -74,11 +74,6 @@ private static boolean handleArgs(String[] args) throws ParseException { "Run in test mode with 2019 and 2020 WPI field images in place of cameras"); options.addOption("p", "path", true, "Point test mode to a specific folder"); - options.addOption( - "i", - "ignore-cameras", - true, - "Ignore cameras that match a regex. Uses camera name as provided by cscore."); options.addOption("n", "disable-networking", false, "Disables control device network settings"); options.addOption( "c", From 5f75619063e41f53c00ba2c6eae1446e1a922fd6 Mon Sep 17 00:00:00 2001 From: Jade Date: Mon, 13 Jan 2025 05:24:36 +0800 Subject: [PATCH 4/6] Bump python projects to 2025.2.1 (#1705) Blocked on robotpy release --------- Signed-off-by: Jade Turner Co-authored-by: Matt Morley --- .github/workflows/python.yml | 4 ++-- photon-lib/py/setup.py | 10 +++++----- photon-lib/py/test/visionSystemSim_test.py | 8 ++++++-- photonlib-python-examples/aimandrange/pyproject.toml | 2 +- photonlib-python-examples/aimattarget/pyproject.toml | 2 +- photonlib-python-examples/poseest/pyproject.toml | 2 +- 6 files changed, 16 insertions(+), 12 deletions(-) diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml index b5e58e6cfd..ddb5bf4d38 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/python.yml @@ -5,11 +5,11 @@ permissions: on: push: - branches: [ master ] + branches: [ main ] tags: - 'v*' pull_request: - branches: [ master ] + branches: [ main ] merge_group: concurrency: diff --git a/photon-lib/py/setup.py b/photon-lib/py/setup.py index 7cfb98fcc3..01c4331e4c 100644 --- a/photon-lib/py/setup.py +++ b/photon-lib/py/setup.py @@ -59,11 +59,11 @@ version=versionString, install_requires=[ "numpy~=2.1", - "wpilib<2026,>=2025.0.0b1", - "robotpy-wpimath<2026,>=2025.0.0b1", - "robotpy-apriltag<2026,>=2025.0.0b1", - "robotpy-cscore<2026,>=2025.0.0b1", - "pyntcore<2026,>=2025.0.0b1", + "wpilib<2026,>=2025.2.1", + "robotpy-wpimath<2026,>=2025.2.1", + "robotpy-apriltag<2026,>=2025.2.1", + "robotpy-cscore<2026,>=2025.2.1", + "pyntcore<2026,>=2025.2.1", "opencv-python;platform_machine!='roborio'", ], description=descriptionStr, diff --git a/photon-lib/py/test/visionSystemSim_test.py b/photon-lib/py/test/visionSystemSim_test.py index 0c8b3cc05e..df5dba4c13 100644 --- a/photon-lib/py/test/visionSystemSim_test.py +++ b/photon-lib/py/test/visionSystemSim_test.py @@ -604,10 +604,14 @@ def test_TagAmbiguity() -> None: robotPose = Pose2d() visionSysSim.update(robotPose) - ambiguity = camera.getLatestResult().getBestTarget().getPoseAmbiguity() + tgt = camera.getLatestResult().getBestTarget() + assert tgt is not None + ambiguity = tgt.getPoseAmbiguity() assert ambiguity > 0.5, "Tag ambiguity expected to be high" robotPose = Pose2d(Translation2d(-2.0, -2.0), Rotation2d.fromDegrees(30.0)) visionSysSim.update(robotPose) - ambiguity = camera.getLatestResult().getBestTarget().getPoseAmbiguity() + tgt = camera.getLatestResult().getBestTarget() + assert tgt is not None + ambiguity = tgt.getPoseAmbiguity() assert 0 < ambiguity < 0.2, "Tag ambiguity expected to be high" diff --git a/photonlib-python-examples/aimandrange/pyproject.toml b/photonlib-python-examples/aimandrange/pyproject.toml index 07d7ac9694..82e9332bfc 100644 --- a/photonlib-python-examples/aimandrange/pyproject.toml +++ b/photonlib-python-examples/aimandrange/pyproject.toml @@ -6,7 +6,7 @@ [tool.robotpy] # Version of robotpy this project depends on -robotpy_version = "2024.3.2.2" +robotpy_version = "2025.2.1" # Which extra RobotPy components should be installed # -> equivalent to `pip install robotpy[extra1, ...] diff --git a/photonlib-python-examples/aimattarget/pyproject.toml b/photonlib-python-examples/aimattarget/pyproject.toml index 07d7ac9694..82e9332bfc 100644 --- a/photonlib-python-examples/aimattarget/pyproject.toml +++ b/photonlib-python-examples/aimattarget/pyproject.toml @@ -6,7 +6,7 @@ [tool.robotpy] # Version of robotpy this project depends on -robotpy_version = "2024.3.2.2" +robotpy_version = "2025.2.1" # Which extra RobotPy components should be installed # -> equivalent to `pip install robotpy[extra1, ...] diff --git a/photonlib-python-examples/poseest/pyproject.toml b/photonlib-python-examples/poseest/pyproject.toml index 07d7ac9694..82e9332bfc 100644 --- a/photonlib-python-examples/poseest/pyproject.toml +++ b/photonlib-python-examples/poseest/pyproject.toml @@ -6,7 +6,7 @@ [tool.robotpy] # Version of robotpy this project depends on -robotpy_version = "2024.3.2.2" +robotpy_version = "2025.2.1" # Which extra RobotPy components should be installed # -> equivalent to `pip install robotpy[extra1, ...] From 966b9e8c61afbd9abf8e0a7fe3c2d1f31ba7803f Mon Sep 17 00:00:00 2001 From: Sam Freund Date: Sun, 12 Jan 2025 19:48:39 -0600 Subject: [PATCH 5/6] Yolo duplication fix (#1713) Somebody wanted a description, so here I am. This PR fixes an error which caused the discoverModels function to be rerun after each upload of a new model, but without clearing the list of available models. This causes any models that were on the list prior to the import to be duplicated. This PR also makes it so that uploading a model automatically updates the list of available models. --------- Co-authored-by: Matt Morley Co-authored-by: Chris Gerth --- .../settings/ObjectDetectionCard.vue | 14 ++++++++------ .../NeuralNetworkModelManager.java | 19 +++++++++---------- .../photonvision/server/RequestHandler.java | 16 ++++++++++++++-- .../java/org/photonvision/server/Server.java | 6 +++--- 4 files changed, 34 insertions(+), 21 deletions(-) diff --git a/photon-client/src/components/settings/ObjectDetectionCard.vue b/photon-client/src/components/settings/ObjectDetectionCard.vue index c92470630a..7a85904a49 100644 --- a/photon-client/src/components/settings/ObjectDetectionCard.vue +++ b/photon-client/src/components/settings/ObjectDetectionCard.vue @@ -4,11 +4,12 @@ import axios from "axios"; import { useStateStore } from "@/stores/StateStore"; import { useSettingsStore } from "@/stores/settings/GeneralSettingsStore"; -const showObjectDetectionImportDialog = ref(false); +const showImportDialog = ref(false); const importRKNNFile = ref(null); const importLabelsFile = ref(null); -const handleObjectDetectionImport = () => { +// TODO gray out the button when model is uploading +const handleImport = async () => { if (importRKNNFile.value === null || importLabelsFile.value === null) return; const formData = new FormData(); @@ -50,7 +51,8 @@ const handleObjectDetectionImport = () => { } }); - showObjectDetectionImportDialog.value = false; + showImportDialog.value = false; + importRKNNFile.value = null; importLabelsFile.value = null; }; @@ -68,12 +70,12 @@ const supportedModels = computed(() => {
- + mdi-import Import New Model mdi-import Import Object Detection Model diff --git a/photon-core/src/main/java/org/photonvision/common/configuration/NeuralNetworkModelManager.java b/photon-core/src/main/java/org/photonvision/common/configuration/NeuralNetworkModelManager.java index 0418d5902a..32d082241d 100644 --- a/photon-core/src/main/java/org/photonvision/common/configuration/NeuralNetworkModelManager.java +++ b/photon-core/src/main/java/org/photonvision/common/configuration/NeuralNetworkModelManager.java @@ -221,29 +221,28 @@ private void loadModel(File model) { /** * Discovers DNN models from the specified folder. * - * @param modelsFolder The folder where the models are stored + * @param modelsDirectory The folder where the models are stored */ - public void discoverModels(File modelsFolder) { + public void discoverModels(File modelsDirectory) { logger.info("Supported backends: " + supportedBackends); - if (!modelsFolder.exists()) { - logger.error("Models folder " + modelsFolder.getAbsolutePath() + " does not exist."); + if (!modelsDirectory.exists()) { + logger.error("Models folder " + modelsDirectory.getAbsolutePath() + " does not exist."); return; } - if (models == null) { - models = new HashMap<>(); - } + models = new HashMap<>(); try { - Files.walk(modelsFolder.toPath()) + Files.walk(modelsDirectory.toPath()) .filter(Files::isRegularFile) .forEach(path -> loadModel(path.toFile())); } catch (IOException e) { - logger.error("Failed to discover models at " + modelsFolder.getAbsolutePath(), e); + logger.error("Failed to discover models at " + modelsDirectory.getAbsolutePath(), e); } - // After loading all of the models, sort them by name to ensure a consistent ordering + // After loading all of the models, sort them by name to ensure a consistent + // ordering models.forEach( (backend, backendModels) -> backendModels.sort((a, b) -> a.getName().compareTo(b.getName()))); diff --git a/photon-server/src/main/java/org/photonvision/server/RequestHandler.java b/photon-server/src/main/java/org/photonvision/server/RequestHandler.java index b1cc59656b..1a318b324f 100644 --- a/photon-server/src/main/java/org/photonvision/server/RequestHandler.java +++ b/photon-server/src/main/java/org/photonvision/server/RequestHandler.java @@ -42,7 +42,9 @@ import org.photonvision.common.dataflow.DataChangeDestination; import org.photonvision.common.dataflow.DataChangeService; import org.photonvision.common.dataflow.events.IncomingWebSocketEvent; +import org.photonvision.common.dataflow.events.OutgoingUIEvent; import org.photonvision.common.dataflow.networktables.NetworkTablesManager; +import org.photonvision.common.dataflow.websocket.UIPhotonConfiguration; import org.photonvision.common.hardware.HardwareManager; import org.photonvision.common.hardware.Platform; import org.photonvision.common.logging.LogGroup; @@ -546,7 +548,7 @@ public static void onProgramRestartRequest(Context ctx) { restartProgram(); } - public static void onObjectDetectionModelImportRequest(Context ctx) { + public static void onImportObjectDetectionModelRequest(Context ctx) { try { // Retrieve the uploaded files var modelFile = ctx.uploadedFile("rknn"); @@ -579,7 +581,11 @@ public static void onObjectDetectionModelImportRequest(Context ctx) { Pattern.compile("^[a-zA-Z0-9]+-\\d+-\\d+-yolov[58][a-z]*-labels\\.txt$"); if (!modelPattern.matcher(modelFile.filename()).matches() - || !labelsPattern.matcher(labelsFile.filename()).matches()) { + || !labelsPattern.matcher(labelsFile.filename()).matches() + || !(modelFile + .filename() + .substring(0, modelFile.filename().indexOf("-")) + .equals(labelsFile.filename().substring(0, labelsFile.filename().indexOf("-"))))) { ctx.status(400); ctx.result("The uploaded files were not named correctly."); logger.error("The uploaded object detection model files were not named correctly."); @@ -610,6 +616,12 @@ public static void onObjectDetectionModelImportRequest(Context ctx) { } catch (Exception e) { ctx.status(500).result("Error processing files: " + e.getMessage()); } + + DataChangeService.getInstance() + .publishEvent( + new OutgoingUIEvent<>( + "fullsettings", + UIPhotonConfiguration.programStateToUi(ConfigManager.getInstance().getConfig()))); } public static void onDeviceRestartRequest(Context ctx) { diff --git a/photon-server/src/main/java/org/photonvision/server/Server.java b/photon-server/src/main/java/org/photonvision/server/Server.java index 1d6c373161..ef24a6da22 100644 --- a/photon-server/src/main/java/org/photonvision/server/Server.java +++ b/photon-server/src/main/java/org/photonvision/server/Server.java @@ -102,7 +102,7 @@ private static void start(int port) { }); }); - /*Web Socket Events for Data Exchange */ + /* Web Socket Events for Data Exchange */ var dsHandler = DataSocketHandler.getInstance(); app.ws( "/websocket_data", @@ -112,7 +112,7 @@ private static void start(int port) { ws.onBinaryMessage(dsHandler::onBinaryMessage); }); - /*API Events*/ + /* API Events */ // Settings app.post("/api/settings", RequestHandler::onSettingsImportRequest); app.get("/api/settings/photonvision_config.zip", RequestHandler::onSettingsExportRequest); @@ -129,7 +129,7 @@ private static void start(int port) { app.post("/api/utils/offlineUpdate", RequestHandler::onOfflineUpdateRequest); app.post( "/api/utils/importObjectDetectionModel", - RequestHandler::onObjectDetectionModelImportRequest); + RequestHandler::onImportObjectDetectionModelRequest); app.get("/api/utils/photonvision-journalctl.txt", RequestHandler::onLogExportRequest); app.post("/api/utils/restartProgram", RequestHandler::onProgramRestartRequest); app.post("/api/utils/restartDevice", RequestHandler::onDeviceRestartRequest); From 04e28bc2d80624785fa33ba5caf75378cf050bbd Mon Sep 17 00:00:00 2001 From: Craig Schardt Date: Sun, 12 Jan 2025 21:52:45 -0600 Subject: [PATCH 6/6] Bump images to v2025.0.2 (#1717) --- .github/workflows/build.yml | 20 ++++++++++---------- build.gradle | 2 +- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 5fe98d5ff3..45d71c59a2 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -391,7 +391,7 @@ jobs: - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: RaspberryPi - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-4/photonvision_raspi.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_raspi.img.xz cpu: cortex-a7 image_additional_mb: 0 extraOpts: -Djdk.lang.Process.launchMechanism=vfork @@ -430,55 +430,55 @@ jobs: - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: RaspberryPi - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_raspi.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_raspi.img.xz cpu: cortex-a7 image_additional_mb: 0 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: limelight2 - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_limelight.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_limelight.img.xz cpu: cortex-a7 image_additional_mb: 0 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: limelight3 - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_limelight3.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_limelight3.img.xz cpu: cortex-a7 image_additional_mb: 0 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: orangepi5 - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_opi5.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_opi5.img.xz cpu: cortex-a8 image_additional_mb: 1024 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: orangepi5b - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_opi5b.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_opi5b.img.xz cpu: cortex-a8 image_additional_mb: 1024 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: orangepi5plus - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_opi5plus.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_opi5plus.img.xz cpu: cortex-a8 image_additional_mb: 1024 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: orangepi5pro - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_opi5pro.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_opi5pro.img.xz cpu: cortex-a8 image_additional_mb: 1024 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: orangepi5max - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_opi5max.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_opi5max.img.xz cpu: cortex-a8 image_additional_mb: 1024 - os: ubuntu-22.04 artifact-name: LinuxArm64 image_suffix: rock5c - image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0/photonvision_rock5c.img.xz + image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.2/photonvision_rock5c.img.xz cpu: cortex-a8 image_additional_mb: 1024 diff --git a/build.gradle b/build.gradle index e7bdac1575..9fe34fda77 100644 --- a/build.gradle +++ b/build.gradle @@ -39,7 +39,7 @@ ext { openCVversion = "4.10.0-3" joglVersion = "2.4.0" javalinVersion = "5.6.2" - libcameraDriverVersion = "v2025.0.0" + libcameraDriverVersion = "v2025.0.2" rknnVersion = "v2025.0.0" frcYear = "2025" mrcalVersion = "v2025.0.0";