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Quickly unlock the power of JupyterLab in ArenaView with our ready-to-use downloadable notebooks. Scroll down for sample Notebook files and instructions.

Downloadable Notebooks for JupyterLab in ArenaView

ObjectDetection.zip
1.9MB
Object Detection Notebook

Use TensorFlow models to detect everyday objects.

Barcode.zip
65KB
Barcode & QR Code Reader Notebook

Scan and detect barcode and QR codes.

OCR.zip
91KB
OCR Notebook

Optical Character Recognition

histogram_equalization.zip
4.4KB
Histogram Notebook

Apply a histogram for contrast enhancement

generate_ccm.zip
4.5KB
Color Correction Matrix (CCM)

Apply an OpenCV CCM

SWIR-Youtube-Notebook.zip
9KB
SWIR Notebook – YouTube Video
py_arena_camera_yolo.zip
7.1MB
YOLO Object Detection Notebook

Use YOLO to detect everyday objects.

ptp_camera_demo.zip
4.0KB
PTP Sync Demo Notebook
stereo_vision_notebook.zip
1.2MB
Stereo Vision for Phoenix Dual Head Notebook

Stereo vision application notebook for PDH050S.

shading_correction.zip
5.9KB
Shading Correction Notebook

Lens shading correction to reduce image non-uniformities.

py_sigmoidal_contrast_stream.zip
4.6KB
Contrast Stretching (Linear Normalization) Notebook

Adjust the difference between maximum and minimum intensity values.

py_pdh_wb.zip
4.6KB
White Balance for Phoenix Dual Head Notebook

Notebook to adjust white balance for PDH050S.

How to Install Sample Notebooks

Watch the video tutorial below for a complete step-by-step guide on installing and using the sample Notebooks

1) Download Arena SDK v1.0.33.4 or newer: https://thinklucid.com/downloads-hub/ (Login required)

2) Download Zip files from the above links. The Zip files contain the  Notebook file (.ipnyb) along with supporting files.

3) Upzip and save the contents in C:\ProgramData\Lucid Vision Labs\ArenaView\ArenaJp\Jupyter Source Code Examples\

4) Start ArenaView

5) Launch JupyterLab Server from the Options Tab

6) Navigate to the .ipnyb file using the JupyterLab file browser in ArenaView

7) Run the code blocks.

First time using JupyterLab in Arenaview?

For first time instructions please visit our Knowledge Base Article: "Using LUCID’s ArenaView with JupyterLab" (support./thinklucid.com)

support.thinklucid.com/knowledgebase/using-lucids-arenaview-with-jupyterlab/

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