edgeIQ Release Notes¶
Released September 9, 2020
Upgrade JetPack to 4.4 for NVIDIA Jetson devices. The base docker image works on all Jetson devices and is tagged
alwaysai/edgeiq:jetson-0.16.0. The image requires JetPack 4.4 to run. Make sure to reconfigure (
aai app configure) your app after you upgrade your Jetson device.
Add support for NVIDIA Jetson Xavier NX, and add
is_jetson_xavier_nx()tool to check if running on Xavier NX.
Improve performance of
PoseEstimationon edge devices.
Released August 21, 2020
Add tools for working on Jetson devices:
Released August 6, 2020
Upgrade OpenCV version to 4.4.0 and OpenVINO version to 2020.4. OpenVINO version 2020.4 has dropped support for NCS1, therefore NCS1 is no longer supported on alwaysAI. The
find_ncs1()tool is no longer available.
Update Dockerfile naming to be more specific. This only impacts users who have hardcoded their docker image
FROMline for a specific architecture. Here are the changes:
arm -> armv7hf
arm64 -> aarch64
FileVideoStreamnow restarts when
start()is called a second time.
Support for OPENVINO engine on CPU dropped due to uneven support across devices.
OpenCV + OpenVINO on armv7hf docker image still at 4.1.2 + 2019_R3.1 due to issues with OpenVINO on 32 bit systems.
Released June 10, 2020
Enable RealSense cameras for Mac OSX and Windows.
Released June 5, 2020
RealSense.compute_distance_between_objectsto compute the distance between two detected objects in 3D space.
Fix TensorRT memory leak.
Released May 19, 2020
Pose Estimation on all platforms.
RealSense depth camera support.
Pose Estimation using TensorRT Engine, optimization for NVIDIA GPUs.
Support OPENVINO engine on Intel CPUs.
Fix windows DLL import error
The Intel Neural Compute Stick is not supported running directly on Mac OSX or Windows.
Released April 28, 2020
edgeiq.overlay_imageto combine foreground and background images based on an input mask.
Support for NVIDIA Jetson TX2. Docker containers are tagged as
NVIDIA Jetson Nano containers upgraded to Jetpack 4.3/L4T 32.3.1.
Mac OSX installer for Mojave and Catalina.
Added debug logs to
Reduced network load when using
Jetson CSI cameras are now supported by the CLI.
Improved exception handling for cameras.
Fix a bug in
VideoWriterwhere a None object is called and throws an exception.
Fix a bug in
FileVideoStreamto handle no frame exception.
The Intel Neural Compute Stick is not supported running directly on Mac OSX.
Released March 13, 2020
Add filtering by class to Semantic Segmentation (
SemanticSegmentation.build_object_map(self, class_map, class_list)).
JetsonVideoStream()for Jetson Nano CSI camera support. Note that the alwaysAI CLI does not support the Jetson Nano CSI camera at the time of this release.
edgeiq.Accelerator.NVIDIA_FP16to run models on an NVIDIA GPU compressed to 16 bit floating point.
Detect when NCS devices are not attached when using
alwaysai/enetmodel is currently not supported on
Released February 13, 2020
Install OpenCV C++ headers so that 3rd party libraries can use them.
Usability and performance improvements in Pose Estimation.
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Released January 29, 2020
Add support for the NVIDIA Jetson Nano. The GPU on the Jetson Nano can be used by starting your Dockerfile with
FROM alwaysai/edgeiq:nano-0.11.0docker image, and using
edgeiq.engine.DNN_CUDAas the engine and
edgeiq.accelerator.NVIDIAas the accelerator.
WebcamVideoStreamto enable more flexibility on gstreamer inputs. The
gstreamerparameter is no longer available in
reprto results objects to easily print the contents.
Updated to Python 3.6 in Docker images and Windows native.
Update OpenCV to version 4.1.2 in Linux docker images and Windows native.
Update OpenVINO to version 2019 R3.1 in Linux docker images.
The Intel Neural Compute Stick is not supported running directly on Windows.
Released January 14, 2020
SemanticSegmentationto classify and label each individual pixel in an image. Try out this new feature with one of the following starter apps:
IPVideoStreamto capture data from cameras and videos streaming over the internet.
FileVideoStreamto support simulating real time video playback.
Released December 5, 2019
Add support for CSI cameras with GStreamer. Set the
Truewhen instantiating a
WebcamVideoStreamobject to use this feature.
Host Web Streamer libraries locally to enable using the Streamer without an internet connection.
Released November 8, 2019
PoseEstimationfor characterizing human poses in images and video. Try it out with the
realtime_pose_estimatorstarter app. Currently,
PoseEstimationis only supported on Linux using MYRIAD accelerators (NCS1/NCS2).
blur_objects()utility to blur a list of detected objects in an image.
transparent_overlay_boxes()utility to overlay colored boxes on detected objects in an image.
detect_simple_camera_blockage()to detect camera blockages in some simplistic cases.
Fix issue with installing edgeIQ autocomplete helper on Raspberry Pi.
Released October 17, 2019
Improve bash prompt styling when using
aai app shell.
Improve error logs for
Resolve pip install failure on Raspberry Pi when using requirements.txt.
Released September 17, 2019.
EventVideoWriterto enable recording video clips based on event triggers. The class supports pre-roll and post-roll recording to capture video before and after the event occurs.
EventWriterclass was removed.
Add button on Streamer to stop a running app. For realtime apps, use the
check_exit()function to break out of your main loop.
cmaketo edgeIQ Docker image to enable building wheels from requirements.txt.
FPSinterface to better reflect function action:
Released September 10, 2019.
Pass exceptions that occur in Streamer up to the top level app using the
FPSclass to compute an approximate FPS value without calling the
Visual improvements to Streamer, including expanding the output text box width and displaying the current edgeIQ version.
Resolve issue with displaying a single image on the Streamer in slideshow mode.
Released August 27, 2019.
Add additional console logs and Streamer text data to Starter Applications.
Resolve “divide by 0” error seen when using
Released August 13, 2019.
Add Correlation Tracker for tracking objects across frames between detections
Add Centroid Tracker for tracking unique objects between two detections.
Add MYRIAD support across arm32, arm64, and amd64 architectures.
Add utilities to work with bounding boxes, including computing overlap and intersection between boxes as well as cutting out image segments.
Add edgeIQ abstract package for desktop autocomplete support.
Improve Streamer performance in poor network conditions.