v0.5.0

Introduced features:

• Support for the following architectures:

  • ResNet50V1
  • Tiny Yolo V3
  • FaceNetV1
  • MobileNetV2

• Support for the following backends:

  • NCSDK
  • TensorFlow

• Support for the following platforms:

  • Intel Movidius Neural Compute Stick (version 1)
  • NVIDIA Jetson AGX Xavier
  • x86 systems
  • NVIDIA TX2
  • i.MX8

Known issues:

• NCSDK does not support multiple calls to the inference engine from the same thread. This causes the NCSDK backend to fail after the second start.

v0.4.0

Introduced features:

• Support on Inception and TinyYOLO elements for the following image formats:
  • RGBx
  • RGBA
  • xRGB
  • ARGB
  • BGR
  • BGRx
  • BGRA
  • xBGR
  • ABGR
• Support for FaceNet architecture
• Added Embedding overlay plugin for face detection visualization

Known issues:

• NCSDK does not support multiple calls to the inference engine from the same thread. This causes transitions when using the NCSDK backend to fail after the second play.
• Changing the backend on a stoped pipeline will fail with segmentation fault.

v0.3.0

Introduced features:

• Fixed bug with gtk-doc compilation on GStreamer 1.8
• Support for the following architectures:
  • Inception v3
  • Inception v2
  • Inception v1

Known issues:

• NCSDK does not support multiple calls to the inference engine from the same thread. This causes transitions when using the NCSDK backend to fail after the second play.
• Changing the backend on a stoped pipeline will fail with segmentation fault.

v0.2.0

Introduced features:

• Stability improved
• Inference on InceptionV4 improved
• Metadata structure created to save the inference result.
• Metadata is attached to model buffer and bypass buffer (if available).
• Signal created to use the inference result at application level.
• The inference result is not displayed by the inference element unless log level is set to 6.
• Pads control improved, bypass pad is now optional.
• GoogleNet renamed to InceptionV4.
• TinyYolo renamed to TinyYoloV2.
• Jetson TX2 added to supported architectures.
• Examples section improved to smaller pipelines.
• Overlay plugins added:
  • GstClassificationOverlay for InceptionV4 metadata.
  • GstDetectionOverlay for TinyYoloV2 metadata.
• Example applications were added.
• The segmentation fault with NVarguscamerasrc is fixed.
• TensorFlow is able to run on CPU and GPU.

Known issues:

• NCSDK does not support multiple calls to the inference engine from the same thread. This causes transitions when using the NCSDK backend to fail after the second play.
• Changing the backend on a stoped pipeline will fail with segmentation fault.

v0.1.0

Introduced features:

• Video inference base class
• Support for the following architectures:
  • GoogLeNet (Inception v4)
  • Tiny Yolo v2
• Support for the following backends:
  • NCSDK
  • TensorFlow
• Support for the following platforms:
  • Intel Movidius Neural Compute Stick (version 1)
  • NVIDIA Jetson AGX Xavier
  • x86 systems
• Set backend from GStreamer
• Set backend properties from GStreamer
• Set model location from GStreamer
• Support play-stop-play transitions on GstInference elements

Known issues:

• NCSDK does not support multiple calls to the inference engine from the same thread. This causes transitions when using the NCSDK backend to fail after the second play.
• Changing the backend on a stoped pipeline will fail with segmentation fault.
• When using the tensorflow backend compiled with GPU support, the pipeline will sometimes fail to start.
• The plugins throw segmentation fault when using nvarguscamerasrc as input on Xavier.