Quickly unlock the power of JupyterLab in ArenaView with our ready-to-use downloadable notebooks. Scroll down for sample Notebook files and instructions.
Jupterlab Resource Center
ArenaViewで使用するJupyterLab用のダウンロード可能なノートブック
ObjectDetection.zip
1.9MB
Object Detection Notebook
Use TensorFlow models to detect everyday objects.
histogram_equalization.zip
4.4KB
Histogram Notebook
Apply a histogram for contrast enhancement
SWIR-Youtube-Notebook.zip
9KB
SWIR Notebook – YouTube Video
Apply light trigger settings and viewer.
▶ Watch Video: How to Build a Triton SWIR Camera Demo (Camera, Lens, Lights)
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
Free running trigger using PTP Sync.
▶ Watch Video: IEEE-1588 PTP (Precision Time Protocol) JupyterLab 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.
サンプルノートブックのインストール方法 (英語のみ)
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.