When.com Web Search

Search results

1. Results From The WOW.Com Content Network

2. How to crop an image in OpenCV using Python - Stack Overflow

   stackoverflow.com/questions/15589517

   By using this function you can easily crop image. def cropImage(Image, XY: tuple, WH: tuple, returnGrayscale=False): # Extract the x,y and w,h values. (x, y) = XY. (w, h) = WH. # Crop Image with numpy splitting. crop = Image[y:y + h, x:x + w] # Check if returnGrayscale Var is true if is then convert image to grayscale.

3. Python OpenCV load image from byte string - Stack Overflow

   stackoverflow.com/questions/17170752

   10. I've try to use this code to create an opencv from a string containing a raw buffer (plain pixel data) and it doesn't work in that peculiar case. So here's how to do that for this kind of data: image = np.fromstring(im_str, np.uint8).reshape( h, w, nb_planes ) (but yes you need to know your image properties)

4. The difference between opencv-python and opencv-contrib ...

   stackoverflow.com/questions/64902852

   As per PyPi documentation: There are four different packages (see options 1, 2, 3 and 4 below): Packages for standard desktop environments: Option 1 - Main modules package: pip install opencv-python. Option 2 - Full package (contains both main modules and contrib/extra modules): pip install opencv-contrib-python (check contrib/extra modules ...

5. linux - RTSP stream and OpenCV (Python) - Stack Overflow

   stackoverflow.com/questions/20891936

   I have an IP camera streaming on Linux through rtsp protocol and h264 linux driver. I am able to see the video in VLC with the following address and port: rtsp://192.168.1.2:8080/out.h264 However...

6. python - How do I install opencv using pip? - Stack Overflow

   stackoverflow.com/questions/51853018

   To Install the Current Latest version of OpenCV then use the below commands: Use this Command: pip install --upgrade opencv-python. If you're facing problem in above command then try this : pip install --upgrade opencv-contrib-python. To check the version of installed OpenCV:

7. How to read an image in Python OpenCV - Stack Overflow

   stackoverflow.com/questions/46540831

   The first Command line argument is the image. image = cv2.imread(sys.argv[1]) #The function to read from an image into OpenCv is imread() #imshow() is the function that displays the image on the screen. #The first value is the title of the window, the second is the image file we have previously read.

8. python OpenCV - add alpha channel to RGB image - Stack Overflow

   stackoverflow.com/questions/32290096

   This is the fastest Python solution. # Tell OpenCV to copy the 3 channels and add an empty alpha channel. rgba = cv2.cvtColor(rgb_data, cv2.COLOR_RGB2RGBA) # Then copy the dedicated alpha mask image to the last channel of the. # final image.

9. Image size (Python, OpenCV) - Stack Overflow

   stackoverflow.com/questions/13033278

   Here is a method that returns the image dimensions: from PIL import Image import os def get_image_dimensions(imagefile): """ Helper function that returns the image dimentions :param: imagefile str (path to image) :return dict (of the form: {width:<int>, height=<int>, size_bytes=<size_bytes>) """ # Inline import for PIL because it is not a common library with Image.open(imagefile) as img ...

10. python - OpenCV - Apply mask to a color image - Stack Overflow

    stackoverflow.com/questions/10469235

    To apply this mask to our original color image, we need to convert the mask into a 3 channel image as the original color image is a 3 channel image. mask3 = cv.cvtColor(mask, cv.COLOR_GRAY2BGR) # 3 channel mask. Then, we can apply this 3 channel mask to our color image using the same bitwise_and function.

11. image - Region of Interest opencv python - Stack Overflow

    stackoverflow.com/questions/15424852

    Here's a visualization for selecting a ROI from an image. Consider (0,0) as the top-left corner of the image with left-to-right as the x-direction and top-to-bottom as the y-direction. If we have (x1,y1) as the top-left and (x2,y2) as the bottom-right vertex of a ROI, we can use Numpy slicing to crop the image with: