Demo Video @ https://youtu.be/syIXeapmQnE
An implementation of markerless augmentment reality, based on openCV3.0 bindings for python3.
Ideas come from book: Mastering OpenCV https://github.com/MasteringOpenCV/code
copyright by Packt Publishing 2012
- openCV 3.0+
- python 3.4+
- numpy
- matplotlib
Ensure to have openCV3 for python in environment
python3 main.py {static, capture} {sift, orb}
Test Result 1 | Test Result 2 | Test Result 3 |
---|---|---|
OpenCV Error: Bad argument (image is empty or has incorrect depth (!=CV_8U)) in detectAndCompute, file /Users/zhaorui/opencv_contrib/modules/xfeatures2d/src/sift.cpp, line 770
Traceback (most recent call last):
File "main.py", line 195, in <module>
app.main()
File "main.py", line 92, in main
self.roi = ROI(cropImage, self.alg)
File "/Users/zhaorui/414/opencv-ar-project/ROI.py", line 23, in __init__
self.keypoints, self.descriptors = sift.detectAndCompute(self.image, None)
cv2.error: /Users/zhaorui/opencv_contrib/modules/xfeatures2d/src/sift.cpp:770: error: (-5) image is empty or has incorrect depth (!=CV_8U) in function detectAndCompute
Sol: Retry the program. Be sure to drag out a rectangle using your mouse.