v2.5.0#
v2.5.0 reworks the Model Editor into a full machine-learning Dataset Editor, switches firmware flashing to the cross-platform dfu-util tool, and adds support for Arduino-branded OpenMV cameras. This release stays on the Qt Creator 4.0.2 base and contains no breaking changes for existing projects.
Highlights#
Dataset Editor replaces the old Model Editor, letting you build machine-learning image datasets directly from the camera with named class folders and a live preview pane.
Export Dataset writes a dataset out as an Edge Impulse-compatible
.zip.dfu-util firmware flashing replaces the Windows-only
DfuSeCommand.exe/pydfu.pypath, removing the need to manually install libusb/pyusb on macOS and Linux.Arduino Portenta H7 support recognizes Arduino-branded OpenMV cameras for serial detection, bootloader connection, and DFU firmware download.
Download progress for firmware/package updates is now real and cancelable, with separate Downloading and Installing phases.
New features#
Dataset Editor. The Model Editor was reworked into a full Dataset Editor for building machine-learning image datasets. The
Dataset Editormenu adds New Dataset, Open Dataset, and Close Dataset actions; a new dataset is pre-seeded with adataset_capture_script.pytemplate, and alabels.txtis generated and kept in sync as class folders are added. Images are captured on-camera into named class folders, shown in aQFileSystemModel-backed tree with double-click-to-open and a context-menu Delete/Rename, alongside a live image preview pane (aa0101189, 96cbcd97a, f1a39272b, 28cc1bfbd).Export Dataset. A new action writes the dataset out as a
.zip, flattening images into<class>.<snapshot>class-named files compatible with Edge Impulse, shown with a cancelable progress dialog. Class folders changed from numbered (NNNNN.name.class) to plainname.class(f1e6b6a0d, 0297d4b9e, aa69ab62c).dfu-util firmware flashing. Firmware flashing was rewritten to use the cross-platform
dfu-utiltool instead of the old WindowsDfuSeCommand.exe/pydfu.pypath.connectClicked()now callsdownloadFirmware()and the old “PyDFU requires libusb” instruction dialogs are gone, removing the requirement to manually install libusb/pyusb on macOS and Linux (2bf0b71c7, 5396b7072, d64cb05b1).Desktop and Linux launcher icons. On Windows the installer now creates a Desktop shortcut in addition to the Start Menu entry, and the Linux build now installs an application icon (
openmv.png) viabin.pro. The.desktopIconreference was added but later removed, so the Linux launcher ships without anIcon=entry (327fc2f69, ccca0859f, b1e2b0469).Single-pixel inspection. The frame buffer viewer and serial terminal now show
Point (x, y)in the resolution label and draw the selection band when you click a single point, instead of only reporting multi-pixel ROIs (86839b4c0).New example scripts. Bundled a large batch of new examples including remote image transfer over UART/USB (raw and JPEG, controller and remote roles), “popular features” remote-control demos, 100 fps IR-LED readout tracking, an RTSP video server, advanced image drawing with custom palettes,
ulabnumpy-style math, and perspective/rotation correction (c0a6ff6c8, 0cc0a7761, d77667c20).
Other changes and improvements#
Update download progress. The firmware/package update download now shows real download progress and can be canceled, separating the Downloading and Installing phases instead of a single indeterminate Installing bar (c36d151f3, f1a39272b).
Frame buffer re-centering. The frame buffer viewer now re-centers the image within the view on updates and resizes (327fc2f69).
HTTPS links. External help and code-generator links and update-download URLs were switched from
httptohttps(Google generators, OpenMV forums,openmv.iodownload, and the GPL license link) (a0a104e63).Bundled example updates. The old CMSIS CNN example
09-Feature-Detection/cnn.pywas removed, the02-Board-Control/dac_control.pyexample was renamed todac_write.py, and a new02-Board-Control/dac_write_timed.pyexample was added; a bundledmobilenet_labels.txtlabel file was also added (330548305).Updated bundled firmware. Rebuilt and updated the bundled firmware images (openmv/uvc/bootloader) for OPENMV2, OPENMV3, OPENMV4, and OPENMV4P boards across several resource-update commits. The bundled firmware version (
firmware.txt) progressed3.5.2->3.6.1->3.6.2->3.6.4across these updates, shipping3.6.4, and theHM01B0(0xB0) sensor was added to the recognized sensor list (sensors.txt) (0cc0a7761, c0a6ff6c8, a6df35010, 330548305).Updated dfu-util binaries. Updated the bundled
dfu-utilprefix/suffix/util binaries for arm, linux32, linux64, osx, and windows (dd8733632).
Bug fixes#
Fixed a transient command-prompt/console window flashing on screen during firmware DFU download and video tool (ffmpeg/ffplay) operations on Windows (092fbad74).
Fixed the default editor font on ARM Linux hosts (e.g. Raspberry Pi) to use
DejaVu Sans Monoinstead of a missing/unsuitableMonospacefamily (53a864787).
Platform and tool support#
Qt Creator base: 4.0.2.
Arduino Portenta H7 / Arduino-branded OpenMV cameras are now supported: the Arduino USB VID
0x2341(PID0x005Bmasked) is recognized for serial detection and bootloader connection across the serial port-scan locations (7f3e2b389, 3687643c6).DFU firmware download now also targets the Arduino DFU device (
2341:035b) in addition to the STM0483:df11bootloader, allowing Arduino board firmware to be flashed viadfu-util(2d47c6dac).New sensor: the
HM01B0(0xB0) sensor was added to the recognized sensor list (sensors.txt) (a6df35010).Bundled tools:
dfu-utilflashing tooling is now shipped for arm, linux32, linux64, osx, and windows.Bundled firmware: OPENMV2, OPENMV3, OPENMV4, and OPENMV4P openmv/uvc/bootloader images were rebuilt and the bundled firmware version was updated to
3.6.4(progressing3.5.2->3.6.1->3.6.2->3.6.4) (a6df35010, c0a6ff6c8, 0cc0a7761).
Breaking changes#
None. Existing projects and scripts continue to work unchanged; the firmware flashing rewrite is transparent to users.