I am loading images from a URL in OpenCV. Some images are PNG and have four channels. I am looking for a way to remove the 4th channel, if it exists.
This is how I load the image:
def read_image_from_url(self, imgurl):
req = urllib.urlopen(imgurl)
arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
return cv2.imdecode(arr,-1) # 'load it as it is'
I don't want to change the cv2.imdecode(arr,-1)
but instead I want to check whether the loaded image has a fourth channel, and if so, remove it.
Something like this but I don't know how to actually remove the 4th channel
def read_image_from_url(self, imgurl):
req = urllib.urlopen(imgurl)
arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
image = cv2.imdecode(arr,-1) # 'load it as it is'
s = image.shape
#check if third tuple of s is 4
#if it is 4 then remove the 4th channel and return the image.
You need to check for the number of channels from img.shape
and then proceed accordingly:
# In case of grayScale images the len(img.shape) == 2
if len(img.shape) > 2 and img.shape[2] == 4:
#convert the image from RGBA2RGB
img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With