OpenCV

问题 I am new to OpenCV, I need help removing the watermark from this image, I tried using inpaint but I want a more automated way of feature mapping and inpainting, pls help me with it. 回答1: If all your images are like this and have a watermark as shown in the question having a light gray watermark then a simple thresholding operation will work. import cv2 img = cv2.imread('watermark.jpg') _, thresh = cv2.threshold(img, 150, 255, cv2.THRESH_BINARY) cv2.imshow('Result', thresh) cv2.waitKey(0) cv2

问题 I am a newbie at opencv and python and am trying to collect keypoints and descriptors of faces within an image. I am using HAAR cascade classifier with frontal face template to look for faces in an image. The HAAR cascade gives me a list of coordinates marking the faces in the image. I want to generate a "mask" at those coordinates so that I can use cv2.surf() to extract keypoints and descriptors within the masked region. I don't know how to create that mask. Try this photo as an example to

问题 I created a new environment in anaconda for python 3.5 and installed all the required pip libraries including opencv. If I execute the following in command line $ python Python 3.5.2 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:52:12) [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import cv2 >>> As you can see above there is no issues importing cv2. However when I open Jupyter notebook and

问题 I created a new environment in anaconda for python 3.5 and installed all the required pip libraries including opencv. If I execute the following in command line $ python Python 3.5.2 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:52:12) [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import cv2 >>> As you can see above there is no issues importing cv2. However when I open Jupyter notebook and

问题 I am a newbie at opencv and python and am trying to collect keypoints and descriptors of faces within an image. I am using HAAR cascade classifier with frontal face template to look for faces in an image. The HAAR cascade gives me a list of coordinates marking the faces in the image. I want to generate a "mask" at those coordinates so that I can use cv2.surf() to extract keypoints and descriptors within the masked region. I don't know how to create that mask. Try this photo as an example to

问题 I am a newbie at opencv and python and am trying to collect keypoints and descriptors of faces within an image. I am using HAAR cascade classifier with frontal face template to look for faces in an image. The HAAR cascade gives me a list of coordinates marking the faces in the image. I want to generate a "mask" at those coordinates so that I can use cv2.surf() to extract keypoints and descriptors within the masked region. I don't know how to create that mask. Try this photo as an example to

问题 I created a new environment in anaconda for python 3.5 and installed all the required pip libraries including opencv. If I execute the following in command line $ python Python 3.5.2 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:52:12) [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import cv2 >>> As you can see above there is no issues importing cv2. However when I open Jupyter notebook and

问题 I'm using OpenCv through the Android NDK (using c++) I would like to save an image into MAT format and then display it on my android application. I have saved the image in assets. imread() does not work in the NKD because it cannot find the file path to the image, however, I can use AssetManager to load an asset and it finds the path perfectly. This method saves the data into a char* buffer. How can I, either use something similar to imread() to save the image into a MAT, or convert the char*

问题 I have an image like this: I need to fit an ellipse to the dark area (note: must be an ellipse, not a circle). What is the best way to do this in OpenCV? My first step so far has been to apply an adaptive (Otsu) threshold to it, which results in: But I'm not sure where to go from there. I'm writing the app in Python, but it's more the algorithm design I'm looking for. EDIT based on response/comment: OK, so I have already tried the morphology. Based on the OpenCV documentation, I did a 3

问题 I want to find custom shape in OpenCV. Shape is previously defined. I want to detect if this shape is equal or not equal to the current shape using WebCam in real time. How can I do that? How to compare pre-defined custom shape and current shape? 回答1: As the commenters have eluded, you can use template matching to detect custom shapes. So What Is Template Matching? Template matching is a technique in digital image processing for finding small parts of an image which match a template image. It