{"id":115445,"date":"2022-06-20T11:45:45","date_gmt":"2022-06-20T18:45:45","guid":{"rendered":"https:\/\/ec2-34-221-119-146.us-west-2.compute.amazonaws.com\/jupyterlab-resource-center\/"},"modified":"2025-01-21T15:56:44","modified_gmt":"2025-01-21T23:56:44","slug":"jupyterlab-resource-center","status":"publish","type":"page","link":"https:\/\/thinklucid.com\/ja\/jupyterlab-resource-center\/","title":{"rendered":"JupyterLab Resource Center"},"content":{"rendered":"

[vc_row full_width=”stretch_row_content_no_spaces”][vc_column offset=”vc_hidden-xs”]

\n\t\t\t\t\"\"\n\t\t\t\t
\n\t\t\t\t\t

JupyterLab\u30ea\u30bd\u30fc\u30b9\u30bb\u30f3\u30bf\u30fc<\/h1>\n

ArenaView\u3067\u4f7f\u7528\u3059\u308b\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u53ef\u80fd\u306a\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f7f\u3063\u3066\u3001JupyterLab\u306e\u529b\u3092\u3059\u3050\u306b\u5f15\u304d\u51fa\u3057\u307e\u3057\u3087\u3046\u3002<\/h1>\n

\u30b5\u30f3\u30d7\u30eb\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9 ><\/a><\/span><\/p>\n

\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5\u306e\u624b\u9806 ><\/a><\/span><\/p>\n<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row full_width=”stretch_row_content_no_spaces”][vc_column offset=”vc_hidden-lg vc_hidden-md vc_hidden-sm”][vc_single_image image=”114301″ img_size=”full” alignment=”center”][vc_custom_heading text=”Jupterlab Resource Center” font_container=”tag:h2|font_size:32px|text_align:center|color:%23000000″ use_theme_fonts=”yes” css=”.vc_custom_1655830094368{margin-top: 15px !important;}”][vc_column_text]<\/p>\n

Quickly unlock the power of JupyterLab in ArenaView with our ready-to-use downloadable notebooks. Scroll down for sample Notebook files and instructions.<\/strong><\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_id=”\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9”][vc_column css=”.vc_custom_1737503683413{margin-top: 60px !important;}”][vc_text_separator title=”ArenaView\u3067\u4f7f\u7528\u3059\u308bJupyterLab\u7528\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u53ef\u80fd\u306a\u30ce\u30fc\u30c8\u30d6\u30c3\u30af” border_width=”2″ css=”.vc_custom_1737501695842{margin-bottom: 0px !important;}” el_class=”black-font”][\/vc_column][\/vc_row][vc_row content_placement=”top”][vc_column css=”.vc_custom_1737501553329{margin-top: 60px !important;margin-bottom: 80px !important;}” offset=”vc_col-lg-offset-1 vc_col-lg-10″][vc_column_text css=””]

\n
\n\n\t\"Object\n<\/div>\n
\n\t
\n\t\tObjectDetection.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t1.9MB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tObject Detection Notebook<\/a>\n<\/div>\n\n
\n\t

Use TensorFlow models to detect everyday objects.<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"barcode\n<\/div>\n
\n\t
\n\t\tBarcode.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t65KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tBarcode & QR Code Reader Notebook<\/a>\n<\/div>\n\n
\n\t

Scan and detect barcode and QR codes.<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"OCR\n<\/div>\n
\n\t
\n\t\tOCR.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t91KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tOCR Notebook<\/a>\n<\/div>\n\n
\n\t

Optical Character Recognition<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"jupyterlab\n<\/div>\n
\n\t
\n\t\thistogram_equalization.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t4.4KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tHistogram Notebook<\/a>\n<\/div>\n\n
\n\t

Apply a histogram for contrast enhancement<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"ccm\n<\/div>\n
\n\t
\n\t\tgenerate_ccm.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t4.5KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tColor Correction Matrix (CCM)<\/a>\n<\/div>\n\n
\n\t

Apply an OpenCV CCM<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"SWIR\n<\/div>\n
\n\t
\n\t\tSWIR-Youtube-Notebook.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t9KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tSWIR Notebook \u2013 YouTube Video<\/a>\n<\/div>\n\n
\n\t

Apply light trigger settings and viewer.
▶ Watch Video: How to Build a Triton SWIR Camera Demo (Camera, Lens, Lights)<\/a><\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"yolo\n<\/div>\n
\n\t
\n\t\tpy_arena_camera_yolo.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t7.1MB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tYOLO Object Detection Notebook<\/a>\n<\/div>\n\n
\n\t

Use YOLO to detect everyday objects.<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"PTP\n<\/div>\n
\n\t
\n\t\tptp_camera_demo.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t4.0KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tPTP Sync Demo Notebook<\/a>\n<\/div>\n\n
\n\t

Free running trigger using PTP Sync.
▶ Watch Video: IEEE-1588 PTP (Precision Time Protocol) JupyterLab Notebook<\/a><\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"Stereo\n<\/div>\n
\n\t
\n\t\tstereo_vision_notebook.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t1.2MB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tStereo Vision for Phoenix Dual Head Notebook<\/a>\n<\/div>\n\n
\n\t

Stereo vision application notebook for PDH050S.<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"Shading\n<\/div>\n
\n\t
\n\t\tshading_correction.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t5.9KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tShading Correction Notebook<\/a>\n<\/div>\n\n
\n\t

Lens shading correction to reduce image non-uniformities. Includes area scan and line scan notebooks.<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"Contrast\n<\/div>\n
\n\t
\n\t\tpy_sigmoidal_contrast_stream.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t4.6KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tContrast Stretching (Linear Normalization) Notebook<\/a>\n<\/div>\n\n
\n\t

Adjust the difference between maximum and minimum intensity values.<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div>
\n
\n\n\t\"PDH\n<\/div>\n
\n\t
\n\t\tpy_pdh_wb.zip<\/a>\t<\/div>\n\n\n\t
\n\t\t4.6KB\t<\/div>\n\n<\/div><\/div>\n
\n\n\tWhite Balance for Phoenix Dual Head Notebook<\/a>\n<\/div>\n\n
\n\t

Notebook to adjust white balance for PDH050S.<\/p>\n<\/div>\n\n

\n\n\t
<\/path><\/svg><\/div>Download<\/a>\n<\/div>\n<\/div><\/div><\/div><\/div>
<\/footer><\/div>[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=”yes”][vc_column width=”1\/3″ css=”.vc_custom_1655828110799{margin-bottom: 25px !important;}”]
\n\t\t\t\t\"object-detection-banner\"\n\t\t\t\t
\n\t\t\t\t\t

Object Detection Notebook<\/h2>\n

Use TensorFlow models to detect everyday objects<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 1.9MB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][vc_column width=”1\/3″ css=”.vc_custom_1655828116288{margin-bottom: 25px !important;}”]

\n\t\t\t\t\"barcode\n\t\t\t\t
\n\t\t\t\t\t

Barcode & QR Code Reader Notebook<\/h2>\n

Scan and detect barcode and QR codes<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 65KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][vc_column width=”1\/3″]

\n\t\t\t\t\"OCR\n\t\t\t\t
\n\t\t\t\t\t

OCR Notebook<\/h2>\n

Optical Character Recognition<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 91KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row equal_height=”yes” content_placement=”top” disable_element=”yes”][vc_column width=”1\/3″ css=”.vc_custom_1655828110799{margin-bottom: 25px !important;}”]

\n\t\t\t\t\"jupyterlab\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u306e\u4f8b\"\n\t\t\t\t
\n\t\t\t\t\t

Histogram Notebook<\/h2>\n

Apply a histogram for contrast enhancement<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 4.4KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][vc_column width=”1\/3″ css=”.vc_custom_1655828116288{margin-bottom: 25px !important;}”]

\n\t\t\t\t\"CCM\u7528JupyterLab\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\"\n\t\t\t\t
\n\t\t\t\t\t

Color Correction Matrix (CCM)<\/h2>\n

Apply an OpenCV CCM<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 4.5KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][vc_column width=”1\/3″]

\n\t\t\t\t\"SWIR\u306eYoutube\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\"\n\t\t\t\t
\n\t\t\t\t\t

SWIR Notebook – YouTube Video<\/h2>\n

Apply light trigger settings and viewer<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 9KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[vc_column_text]<\/p>\n

Watch Video: How to Build a Triton SWIR Camera Demonstration (Camera, Lens, Lights)<\/a><\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=”yes”][vc_column width=”1\/3″ css=”.vc_custom_1655828110799{margin-bottom: 25px !important;}”]

\n\t\t\t\t\"Yolo\n\t\t\t\t
\n\t\t\t\t\t

YOLO Object Detection Notebook<\/h2>\n

Use YOLO to detect everyday objects<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 7.1MB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][vc_column width=”1\/3″ css=”.vc_custom_1655828116288{margin-bottom: 25px !important;}”]

\n\t\t\t\t\"\u30ab\u30e1\u30e9\u306ePTP\u540c\u671f\"\n\t\t\t\t
\n\t\t\t\t\t

PTP Sync Demo Notebook<\/h2>\n

Free running trigger using PTP Sync<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 4.0 KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[vc_column_text]<\/p>\n

Watch Video: IEEE-1588 PTP (Precision Time Protocol) JupyterLab Notebook for LUCID Cameras<\/a><\/p>\n

[\/vc_column_text][\/vc_column][vc_column width=”1\/3″]

\n\t\t\t\t\"Stereo\n\t\t\t\t
\n\t\t\t\t\t

Stereo Vision with Phoenix Dual Head<\/h2>\n

Stereo vision application notebook for PDH050S<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 1.2 MB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row disable_element=”yes” el_id=”new”][vc_column width=”1\/3″ css=”.vc_custom_1655828110799{margin-bottom: 25px !important;}”]

\n\t\t\t\t\"Shading\n\t\t\t\t
\n\t\t\t\t\t

Shading Correction Notebook<\/h2>\n

Lens shading correction to reduce image non-uniformities<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 5.9 KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][vc_column width=”1\/3″ css=”.vc_custom_1655828116288{margin-bottom: 25px !important;}”]

\n\t\t\t\t\"\u30b3\u30f3\u30c8\u30e9\u30b9\u30c8\u30fb\u30b9\u30c8\u30ec\u30c3\u30c1\u30fb\u30ce\u30fc\u30c8\"\n\t\t\t\t
\n\t\t\t\t\t

Contrast Stretching (Linear Normalization) Notebook<\/h2>\n

Adjust the difference between maximum and minimum intensity values.<\/p>\n<\/span>\n\t\t\t\t\tDownload File (Zip, 4.6 KB)<\/span>\n\t\t\t\t<\/div>\n\t\t\t\tView detail<\/a>\n\t\t\t<\/div>[\/vc_column][vc_column width=”1\/3″][\/vc_column][\/vc_row][vc_row el_id=”install”][vc_column css=”.vc_custom_1655771635778{margin-top: 60px !important;margin-bottom: 80px !important;}”][vc_text_separator title=”\u30b5\u30f3\u30d7\u30eb\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5 (\u82f1\u8a9e\u306e\u307f)” border_width=”2″ css=”” el_class=”black-font”][\/vc_column][\/vc_row][vc_row][vc_column offset=”vc_col-md-offset-1 vc_col-md-10″][vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1\/2″][vc_column_text]<\/p>\n

Watch the video tutorial below for a complete step-by-step guide on installing and using the sample Notebooks<\/p>\n

[\/vc_column_text]

\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t
<\/path><\/path><\/path><\/svg><\/div> <\/div> <\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text]1) Download Arena SDK<\/strong> v1.0.33.4 or newer: https:\/\/thinklucid.com\/downloads-hub\/<\/a> (Login required)<\/p>\n

2) Download Zip files<\/strong> from the above links. The Zip files contain the\u00a0 Notebook file (.ipnyb) along with supporting files.<\/p>\n

3) Upzip and save the contents in C:\\ProgramData\\Lucid Vision Labs\\ArenaView\\ArenaJp\\Jupyter Source Code Examples\\<\/strong><\/p>\n

4) Start ArenaView<\/strong><\/p>\n

5) Launch JupyterLab Server<\/strong> from the Options Tab<\/strong><\/p>\n

6) Navigate to the .ipnyb file<\/strong> using the JupyterLab file browser in ArenaView<\/p>\n

7) Run<\/strong> the code blocks.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_cta h2=”First time using JupyterLab in Arenaview?” h4=”For first time instructions please visit our Knowledge Base Article: “Using LUCID\u2019s ArenaView with JupyterLab“ (support.\/thinklucid.com)” color=”black” add_button=”right” btn_title=”Read the Knowledge Base Article” btn_color=”blue” btn_size=”lg” css=”.vc_custom_1722406706115{margin-top: 35px !important;}” btn_link=”url:https%3A%2F%2Fsupport.thinklucid.com%2Fknowledgebase%2Fusing-lucids-arenaview-with-jupyterlab%2F|”]<\/p>\n

support.thinklucid.com\/knowledgebase\/using-lucids-arenaview-with-jupyterlab\/<\/a><\/p>\n

[\/vc_cta][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row full_width=&…<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/homepage.php","meta":{"inline_featured_image":false,"footnotes":""},"tags":[],"camera_family":[],"class_list":["post-115445","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/pages\/115445","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/comments?post=115445"}],"version-history":[{"count":13,"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/pages\/115445\/revisions"}],"predecessor-version":[{"id":177509,"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/pages\/115445\/revisions\/177509"}],"wp:attachment":[{"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/media?parent=115445"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/tags?post=115445"},{"taxonomy":"camera_family","embeddable":true,"href":"https:\/\/thinklucid.com\/ja\/wp-json\/wp\/v2\/camera_family?post=115445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}