搜索资源列表
ObjectMarker.py.tar
- For python lovers and hardcore fans of Opencv... Here i have translated the Opencv object marker program originally in cpp to Python. Its code is simple and any system with Python, OpenCV and Python-opencv can run it. Please try it and comment.
pythonImageDFThighlowpass
- Python opencv image enhancement in frequency domain. DFT , inverse DFT , highpass , lowpass filter
hist
- opencv直方图用python实现，第一次做，可能比较粗糙，多多包涵-opencv histogram with a python implementation, for the first time to do, it may be rough, bear with me
cveh
- hist.py的优化代码，参考了c实现的代码，但可能还有少许问题，包涵-hist.py optimized code, refer to the c implementation of the code, but there may be some issues it covers
cveh1
- 用python实现的opencv直方图均衡化代码，请大家多多指教-Implemented by python opencv histogram equalization code, Please exhibitions
mycv
- 用python实现的opencv图像轮廓检测代码，多多指教-Implemented by python opencv image contour detection code, exhibitions
testlaplac
- Laplacian edge detection
python.tar
- Test OpenCV for binding python. You can find more source code opencv framework
common
- work with feature points (openCV)
track
- feature points tracking from web camera or file
pair
- find pair (feature points SURF)
lsd
- work with feature points
match
- work with feature points
coherence
- work with feature points
python-face-detection
- face detection on Python
testMatchTemplateCAM
- 通过调用OpenCV库，采用逐差法进行视频跟踪。在源码中输入要跟踪的图样，运行文件，程序可以识别跟踪摄像头摄取场景内与图样相关性最高的目标-By calling the OpenCV library, using a case-by-difference method for video tracking. Input source you want to track the pattern, run the file, the program can identify tracking cam
python_OpenCV_mlpTrain
- 自己写的基于OpenCV的神经网络的python训练程序，效果一般般..要求要有numpy-Write by own program based on the OpenCV python neural network training, required to have a general effect .. numpy
ejemplo_knn2.py
- EXAMPLE FOR KNN IN OPENCV AND PYTHON
fpca.py
- FUNCTION THAT CALCULATE THE PRINCIPAL COMPONENT ANALISIS PCA
face
- 自己实现的人脸识别代码，简单的实现人脸识别。使用了cv2的api进行实现-Own implementation of face recognition code, simple face recognition. Api to achieve the cv2