Example Name

Compiling

Discription

Repository

opencv_dice

nativ

This app demonstrates dice cube detection and dots counting for each cube. Using OpenCV 3.4.13.

After processing the image is sent out via gige - server.

https://bitbucket.org/net-gmbh/opencv_dice/

sw_scaler_synview

cross

This example uses no hw hardware acceleration.
But it uses the same infrastructure like other hw hardware accelerated examples.
The main processing consists of a simple cC-code scaler for horizontal and vertical rescaling.

After processing the image is sent out via gige - GigE server.

https://bitbucket.org/net-gmbh/iam_apps/

ccode_synview

cross

The example code_synview uses HLS hw acceleration written in cC-code.

Main The main processing method can be selected among following choices:

• no processing

• simple cC-code sw software processing

• a optimized cC-code version with ARM NEON instructions

• processing with opencv OpenCV functions

• hw Hardware accelerated processing based on a cC-code source

After processing the image is sent out via gige - GigE server.

https://bitbucket.org/net-gmbh/iam_apps/

remap_synview

cross

The example remap_synview uses the hw hardware acceleration function xf::cv::remap from the Vitis vision library.

After processing, the image is sent out via gige - GigE server.

https://bitbucket.org/net-gmbh/iam_apps/

dice_synview

cross

The example dice_synview demonstrates dice cube detection and dots counting for each cube. It uses multiple xfOpenCV functions.

https://bitbucket.org/net-gmbh/iam_apps/

rtl_threshold_synview

cross

This example uses RTL hw hardware acceleration written in verilogVerilog.

After processing, the image is sent out via gige - GigE server.

https://bitbucket.org/net-gmbh/iam_apps/

strm_rtl_threshold_synview

cross

This example uses RTL hw hardware acceleration in the streaming path.
The module is located between the sensor interface and the dma.
It consists of a 32-Bit bit master and 32-Bit bit slave axi-stream interface for sensor pixel data and a 32-Bit bit axi-lite control interface for register access.

After processing, the image is sent out via gige - GigE server.

https://bitbucket.org/net-gmbh/iam_apps/

dpuClassify

• Reference application for image classifier training and execution.

• Different convolutional models are available (VGG, DenseNet, ResNet, Inception)

• Training code for transfer learning with Keras and Tensorflow

• Vitis Ai model conversion code

• iam application for image classification

https://bitbucket.org/net-gmbh/iam_ml/