{"id":15565393,"url":"https://github.com/dkurt/delta9","last_synced_at":"2025-06-29T15:04:04.475Z","repository":{"id":129100068,"uuid":"118950682","full_name":"dkurt/delta9","owner":"dkurt","description":"Intel Delta 9 course","archived":false,"fork":false,"pushed_at":"2018-02-25T15:49:25.000Z","size":109,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-04-03T06:48:26.495Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dkurt.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-01-25T18:22:41.000Z","updated_at":"2018-11-18T16:42:01.000Z","dependencies_parsed_at":"2023-04-13T10:18:28.626Z","dependency_job_id":null,"html_url":"https://github.com/dkurt/delta9","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dkurt/delta9","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkurt%2Fdelta9","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkurt%2Fdelta9/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkurt%2Fdelta9/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkurt%2Fdelta9/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dkurt","download_url":"https://codeload.github.com/dkurt/delta9/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkurt%2Fdelta9/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262614457,"owners_count":23337277,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-02T16:55:41.861Z","updated_at":"2025-06-29T15:04:04.442Z","avatar_url":"https://github.com/dkurt.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Intel Delta 9 lectures\n\nJoin chat for any kind questions: [![Join the chat at https://gitter.im/intel_delta9/Lobby](https://img.shields.io/badge/chat-gitter-blue.svg?style=flat)](https://gitter.im/intel_delta9/Lobby)\n\n## Image processing language Halide\n**Date**: February, 28. 18:00 - 19:20 MSK\n\nLook at https://github.com/dkurt/delta9/tree/master/imgproc.\n\n## Deep learning with OpenCV on PC, smartphone, in browser\n**Date**: February, 28. 19:40 - 21:00 MSK\n\nWe'll see several computer vision problems are solved by deep learning models.\nFollow [Requirements](#requirements) section if you want to bring laptops or\nreproduce the code locally.\n\n### Requirements\nGuide the following steps for each of the samples. Execute commands in terminal\n(Ubuntu) or using Developer Command Prompt (Microsoft Windows).\n\n#### DL on PC\nHuman pose estimation using [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) model.\n\n* Install python and NumPy on your system\n\n* Download [OpenCV source code](https://github.com/opencv/opencv/archive/master.zip)\nor clone it using `git`:\n\n  ```bash\n  git clone https://github.com/opencv/opencv.git --depth 1\n  ```\n\n* Create `build` folder:\n\n  ```bash\n  cd /path/to/opencv\n  mkdir build \u0026\u0026 cd build\n  ```\n\n* Build OpenCV modules:\n\n  * Ubuntu\n    ```bash\n    cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_LIST=dnn,python2,highgui,videoio,imgproc .. \u0026\u0026 make -j4\n    ```\n\n  * Microsoft Windows\n    ```bash\n    \"C:\\Program Files\\CMake\\bin\\cmake.exe\" -DCMAKE_BUILD_TYPE=Release -DBUILD_LIST=dnn,python2,highgui,videoio,imgproc -G \"Visual Studio 14 Win64\" ..\n    \"C:\\Program Files\\CMake\\bin\\cmake.exe\" --build . --config Release -- /m:4\n    ```\n\n* Specify OpenCV location:\n\n  * Ubuntu\n    ```bash\n    export PYTHONPATH=/path/to/opencv/build/lib:$PYTHONPATH\n    ```\n\n  * Microsoft Windows\n\n    Assuming OpenCV installed at `C:\\Users\\%USERNAME%\\opencv\\build`\n    ```bash\n    set PYTHONPATH=C:\\Users\\%USERNAME%\\opencv\\build\\lib\\Release\n    set PATH=C:\\Users\\%USERNAME%\\opencv\\build\\bin\\Release;%PATH%\n    ```\n\n\n* Check installation: create a text file `test_opencv.py` with the following python\n  code:\n\n  ```python\n  import cv2 as cv\n\n  img = cv.imread('example.png')\n  cv.imshow('Test OpenCV', img)\n  cv.waitKey()\n  ```\n\n  Run by `python test_opencv.py` (Ubuntu) or by `C:\\Python27\\python.exe test_opencv.py` (Microsoft Windows).\n\n* Download files\n  1. [Pose estimation .caffemodel](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel)\n  2. [Pose estimation .prototxt](https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/openpose_pose_mpi.prototxt)\n\n#### DL on smartphone\nRecognize gender by face. This sample is based on [Age- Gender- recognition networks](https://github.com/GilLevi/AgeGenderDeepLearning)\n\n* Download and install Android Studio\n\n* Create an empty project. Verify it works on you phone. Follow https://github.com/dkurt/delta8#android-studio for details.\n\n* Download the latest [OpenCV for Android](http://pullrequest.opencv.org/buildbot/builders/master_pack-android)\n\n  ![](images/opencv4android_build_1.png)\n\n  ![](images/opencv4android_build_2.png)\n\n* Import OpenCV into the project. Follow https://gitpitch.com/dkurt/delta8#/17 or \"Add OpenCV dependency\" section of https://docs.opencv.org/master/d0/d6c/tutorial_dnn_android.html.\n\n* Check camera permissions by running an application from https://github.com/dkurt/delta9/blob/master/android (replace `activity_main.xml`, `AndroidManifest.xml` and `MainActivity.java` files). In case of problems get camera permissions manually from application's settings.\n\n* NOTE: Do not forget to replace an example package name from `org.delta9.testproject`\nto one chosen during project creation. There is one entry in each file.\n\n  ![](images/opencv4android_package.png)\n\n* Download files\n  1. [Face detection .caffemodel](https://github.com/opencv/opencv_3rdparty/raw/19512576c112aa2c7b6328cb0e8d589a4a90a26d/res10_300x300_ssd_iter_140000_fp16.caffemodel)\n  1. [Face detection .prototxt](https://raw.githubusercontent.com/opencv/opencv/master/samples/dnn/face_detector/deploy.prototxt)\n  1. [GenderNet .caffemodel](https://github.com/GilLevi/AgeGenderDeepLearning/raw/master/models/gender_net.caffemodel)\n  1. [GenderNet .prototxt](https://github.com/GilLevi/AgeGenderDeepLearning/blob/master/gender_net_definitions/deploy.prototxt)\n\n#### DL in browser\n\nUse [Places205-AlexNet](http://places.csail.mit.edu/downloadCNN.html) model for\nscene recognition.\n\n* Download files\n  1. [OpenCV JavaScript bindings](https://docs.opencv.org/master/opencv.js)\n  1. [OpenCV JavaScript utils](https://docs.opencv.org/master/utils.js)\n  1. [Places205-AlexNet .caffemodel](https://drive.google.com/open?id=1BpnMdMeoDrY-oBFoPyWFxYMcHZKkxUWP)\n  1. Folder https://github.com/dkurt/delta9/blob/master/places205\n\n## Do you like it?\n\n* star OpenPose project: https://github.com/CMU-Perceptual-Computing-Lab/openpose\n* star Places365 project: https://github.com/CSAILVision/places365\n* star AgeGenderDeepLearning project: https://github.com/GilLevi/AgeGenderDeepLearning\n* star OpenCV project: https://github.com/opencv/opencv\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkurt%2Fdelta9","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdkurt%2Fdelta9","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkurt%2Fdelta9/lists"}