I am student of Computer-Sciences and I am learning image processing using OpenCv with Python
. I am working on gender detection us
You must use the QImage::Format_Indexed8
format to convert the numpy array to QImage. I have implemented a method that converts some types of numpy arrays to QImage
def numpyQImage(image):
qImg = QtGui.QImage()
if image.dtype == np.uint8:
if len(image.shape) == 2:
channels = 1
height, width = image.shape
bytesPerLine = channels * width
qImg = QtGui.QImage(
image.data, width, height, bytesPerLine, QtGui.QImage.Format_Indexed8
)
qImg.setColorTable([QtGui.qRgb(i, i, i) for i in range(256)])
elif len(image.shape) == 3:
if image.shape[2] == 3:
height, width, channels = image.shape
bytesPerLine = channels * width
qImg = QtGui.QImage(
image.data, width, height, bytesPerLine, QtGui.QImage.Format_RGB888
)
elif image.shape[2] == 4:
height, width, channels = image.shape
bytesPerLine = channels * width
fmt = QtGui.QImage.Format_ARGB32
qImg = QtGui.QImage(
image.data, width, height, bytesPerLine, QtGui.QImage.Format_ARGB32
)
return qImg
So in your case it should be:
def crop(self):
if not self.work_IMAGE:
return
img = cv2.imread(self.work_IMAGE, cv2.IMREAD_GRAYSCALE)
if img is None:
return
height, width = img.shape[:2]
start_row, strt_col = int(height * 0.40), int(width * 0.15)
end_row, end_col = int(height * 0.60), int(width * 0.90)
croped = img[start_row:end_row, strt_col:end_col].copy()
qImg = numpyQImage(croped)
pixmap = QtGui.QPixmap.fromImage(qImg)
pixmap = pixmap.scaled(self.roi_label.size(), QtCore.Qt.KeepAspectRatio)
self.roi_label.setPixmap(pixmap)
self.roi_label.setAlignment(QtCore.Qt.AlignCenter)