https://github.com/dkurt/delta9
Intel Delta 9 course
https://github.com/dkurt/delta9
Last synced: 12 months ago
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Intel Delta 9 course
- Host: GitHub
- URL: https://github.com/dkurt/delta9
- Owner: dkurt
- Created: 2018-01-25T18:22:41.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-02-25T15:49:25.000Z (over 8 years ago)
- Last Synced: 2025-04-03T06:48:26.495Z (about 1 year ago)
- Language: C++
- Size: 106 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Intel Delta 9 lectures
Join chat for any kind questions: [](https://gitter.im/intel_delta9/Lobby)
## Image processing language Halide
**Date**: February, 28. 18:00 - 19:20 MSK
Look at https://github.com/dkurt/delta9/tree/master/imgproc.
## Deep learning with OpenCV on PC, smartphone, in browser
**Date**: February, 28. 19:40 - 21:00 MSK
We'll see several computer vision problems are solved by deep learning models.
Follow [Requirements](#requirements) section if you want to bring laptops or
reproduce the code locally.
### Requirements
Guide the following steps for each of the samples. Execute commands in terminal
(Ubuntu) or using Developer Command Prompt (Microsoft Windows).
#### DL on PC
Human pose estimation using [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) model.
* Install python and NumPy on your system
* Download [OpenCV source code](https://github.com/opencv/opencv/archive/master.zip)
or clone it using `git`:
```bash
git clone https://github.com/opencv/opencv.git --depth 1
```
* Create `build` folder:
```bash
cd /path/to/opencv
mkdir build && cd build
```
* Build OpenCV modules:
* Ubuntu
```bash
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_LIST=dnn,python2,highgui,videoio,imgproc .. && make -j4
```
* Microsoft Windows
```bash
"C:\Program Files\CMake\bin\cmake.exe" -DCMAKE_BUILD_TYPE=Release -DBUILD_LIST=dnn,python2,highgui,videoio,imgproc -G "Visual Studio 14 Win64" ..
"C:\Program Files\CMake\bin\cmake.exe" --build . --config Release -- /m:4
```
* Specify OpenCV location:
* Ubuntu
```bash
export PYTHONPATH=/path/to/opencv/build/lib:$PYTHONPATH
```
* Microsoft Windows
Assuming OpenCV installed at `C:\Users\%USERNAME%\opencv\build`
```bash
set PYTHONPATH=C:\Users\%USERNAME%\opencv\build\lib\Release
set PATH=C:\Users\%USERNAME%\opencv\build\bin\Release;%PATH%
```
* Check installation: create a text file `test_opencv.py` with the following python
code:
```python
import cv2 as cv
img = cv.imread('example.png')
cv.imshow('Test OpenCV', img)
cv.waitKey()
```
Run by `python test_opencv.py` (Ubuntu) or by `C:\Python27\python.exe test_opencv.py` (Microsoft Windows).
* Download files
1. [Pose estimation .caffemodel](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel)
2. [Pose estimation .prototxt](https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/openpose_pose_mpi.prototxt)
#### DL on smartphone
Recognize gender by face. This sample is based on [Age- Gender- recognition networks](https://github.com/GilLevi/AgeGenderDeepLearning)
* Download and install Android Studio
* Create an empty project. Verify it works on you phone. Follow https://github.com/dkurt/delta8#android-studio for details.
* Download the latest [OpenCV for Android](http://pullrequest.opencv.org/buildbot/builders/master_pack-android)
* 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.
* 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.
* NOTE: Do not forget to replace an example package name from `org.delta9.testproject`
to one chosen during project creation. There is one entry in each file.
* Download files
1. [Face detection .caffemodel](https://github.com/opencv/opencv_3rdparty/raw/19512576c112aa2c7b6328cb0e8d589a4a90a26d/res10_300x300_ssd_iter_140000_fp16.caffemodel)
1. [Face detection .prototxt](https://raw.githubusercontent.com/opencv/opencv/master/samples/dnn/face_detector/deploy.prototxt)
1. [GenderNet .caffemodel](https://github.com/GilLevi/AgeGenderDeepLearning/raw/master/models/gender_net.caffemodel)
1. [GenderNet .prototxt](https://github.com/GilLevi/AgeGenderDeepLearning/blob/master/gender_net_definitions/deploy.prototxt)
#### DL in browser
Use [Places205-AlexNet](http://places.csail.mit.edu/downloadCNN.html) model for
scene recognition.
* Download files
1. [OpenCV JavaScript bindings](https://docs.opencv.org/master/opencv.js)
1. [OpenCV JavaScript utils](https://docs.opencv.org/master/utils.js)
1. [Places205-AlexNet .caffemodel](https://drive.google.com/open?id=1BpnMdMeoDrY-oBFoPyWFxYMcHZKkxUWP)
1. Folder https://github.com/dkurt/delta9/blob/master/places205
## Do you like it?
* star OpenPose project: https://github.com/CMU-Perceptual-Computing-Lab/openpose
* star Places365 project: https://github.com/CSAILVision/places365
* star AgeGenderDeepLearning project: https://github.com/GilLevi/AgeGenderDeepLearning
* star OpenCV project: https://github.com/opencv/opencv