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Merge pull request #18064 from akineeic:gsoc_2020_dnn

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[GSoC] Develop OpenCV.js DNN modules for promising web use cases together with their tutorials

* [Opencv.js doc] Init commit to add image classification example in opencv.js tutorial

* [Opencv.js doc] Make the code snippet interactive and put the functions into code snippet.

* Fix the utils.loadOpenCv for promise module

* [Opencv.js doc] Code modify and fixed layout issue.

* [Opencv.js doc] Add a JSON file to store parameters for models and show in the web page.

* [Opencv.js doc] Change let to const.

* [Opencv.js doc] Init commit to add image classification example with camera in opencv.js tutorial

* [Opencv.js doc] Init commit to add semantic segmentation example in opencv.js tutorial

* [Opencv.js doc] Add object detection example, supprot YOLOv2

* [Opencv.js doc] Support SSD model for object detection example

* [Opencv.js doc] Add fast neural style transfer example with opencv.js

* [Opencv.js doc] Add pose estimation example in opencv.js tutorial

* Delete whitespace for code check

* [Opencv.js doc] Add object detection example with camera

* [Opencv.js doc] Add json files containing model information to each example

* [Opencv.js doc] Add a js file for common function in dnn example

* [Opencv.js doc] Create single function getBlobFromImage

* [Opencv.js doc] Add url of model into webpage

* [OpenCV.js doc] Update UI for running

* [Opencv.js doc] Load dnn model by input button

* [Opencv.js doc] Fix some UI issues

* [Opencv.js doc] Change code format

Co-authored-by: Ningxin Hu <ningxin.hu@intel.com>
This commit is contained in:
Zhiming-Zeng
2020-11-29 18:09:42 +08:00
committed by GitHub
parent 7c78c59e64
commit 4e4458416d
23 changed files with 2611 additions and 2 deletions
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doc/js_tutorials/js_dnn/js_image_classification/js_image_classification.markdown
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Image Classification Example {#tutorial_js_image_classification}
=======================================
Goal
----
- In this tutorial you will learn how to use OpenCV.js dnn module for image classification.
\htmlonly
<iframe src="../../js_image_classification.html" width="100%"
onload="this.style.height=this.contentDocument.body.scrollHeight +'px';">
</iframe>
\endhtmlonly
doc/js_tutorials/js_dnn/js_image_classification/js_image_classification_with_camera.markdown
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Image Classification Example with Camera {#tutorial_js_image_classification_with_camera}
=======================================
Goal
----
- In this tutorial you will learn how to use OpenCV.js dnn module for image classification example with camera.
@note If you don't know how to capture video from camera, please review @ref tutorial_js_video_display.
\htmlonly
<iframe src="../../js_image_classification_with_camera.html" width="100%"
onload="this.style.height=this.contentDocument.body.scrollHeight +'px';">
</iframe>
\endhtmlonly