* Ignore numpy get limits warning
* Add function wrapper to redirect stdout and stderr to logpipe
* Save stderr too
* Add more to catch
* run logpipe
* Use other logging redirect class
* Use other logging redirect class
* add decorator for redirecting c/c++ level output to logger
* fix typing
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Refactor common functions for tflite detector implementations
* Add detector using mesa teflon delegate
Non-EdgeTPU TFLite can use the standard .tflite format
* Add mesa-teflon-delegate from bookworm-backports to arm64 images
* Don't support tensorrt detector for amd64 builds
* Add logs for directing users not to use tensorrt detector
* Rework docs
* Fix dockerfile index
* Don't undo jetson fix
Model can be adjusted ahead of time to NHWC to avoid transpose on CPU,
for example. All the model information is already presented in the
configuration, and the stringent checks implemented in openvino are not
present on other backends anyway. OpenVINO will properly report issues
with mismatched layouts anyhow.
* Don't return weighted name if it has the same number of results
* Remove link to incorrect format yolov9 models
* Fix command list from appearing when other inputs are focused
the description box in the tracked object details pane was causing the command input list to show when focused.
* clarify face docs
* Add note about python yolov9 export
* Check if hailort thread is still alive when timeout error is run into
* Reduce inference timeout
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* improve spacing of face selection in mobile drawer
* fix spacing
* sort face names alphabetically
* Improve face selection dialog
* Use a state to track when face image loads
The naturalWidth and naturalHeight will always be 0 until the image loads. So we use onLoad and a state to track loading and then calculate the area after it has loaded
* Verify that a camera only tracks objects that are possible to track
* Fix test
* genai docs tweak
* Disable openvino model cache
* Clenaup
* Sanitize floats for estimated speed and angle
Users can configure speed zones in such a way that velocity estimates from Norfair cause a value of inf to be stored as an estimated speed. FastAPI doesn't serialize inf as a float, so trying to return this value would result in an API error. Sanitizing the value before storing should correct this.
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add camera name tooltip to previews in recording view
* Apply face area check to cv2 face detection
* Delete review thumbnails
* Don't import hailo until it is used
* Add comment
* Clean up camera name
* Filter out empty keys when updating yaml config
HA ingress seems to randomly add an equal sign to the PUT urls for updating the config from the UI. This fix prevents empty keys from being processed, but still allows empty values.
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Adding Models
* Final Async Update
* Bug Fixing
* Fix
* Adding fixes
* Working async infer
* Final Documenatation and debug update
* Removing some extra prints
* Post-process correct label push
* config docs fix
* Review Fix
* Review fix 2.0
* Fixing the ASYNC API to work from 30ms to 10ms
* Fix for multi stream async infernce
* Format
* Fix#3
* Format#2
* Remove Unnessery includes
* Sort Imports
* Simplify rocm install and update to 6.3.1
* Build out more necessary packages
* Update to 6.3.3
* Set bake version
* Fix typo
* Ensure NHWC is used
* Reset dev changes
* Write to cache
* WIP yolov9
* Implement post processing for yolov9
* Cleanup detection
* Update docs to make note of supported yolov9
* Move post processing to separate utility
* Add note about other models
* rockchip: update dependencies and add script for model conversion
* rockchip: update docs
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Implement ROCm detectors
* Cleanup tensor input
* Fixup image creation
* Add support for yolonas in onnx
* Get build working with onnx
* Update docs and simplify config
* Remove unused imports
* Add support for yolonas in onnx
* Add correct deps
* Set ld library path
* Refactor cudnn to only be used in amd64
* Add onnx to docs and add explainer at the top
* Undo change
* Update comment
* Remove uneccesary
* Remove line change
