def test_image_to_bitmap(self):
qimage = QImage(32, 64, QImage.Format.Format_RGB32)
qimage.fill(QColor(0x44, 0x88, 0xcc))
qpixmap = image_to_bitmap(qimage)
self.assertIsInstance(qpixmap, QPixmap)
def convert_bitmap(image, width=0, height=0):
if isinstance(image, ImageResource):
pix = traitsui_convert_bitmap(image)
elif isinstance(image, (PILImage.Image, )):
try:
data = image.tostring('raw', 'RGBA')
except NotImplementedError:
data = image.tobytes('raw', 'RGBA')
im = QImage(data, image.size[0], image.size[1], QImage.Format_ARGB32)
pix = QPixmap.fromImage(QImage.rgbSwapped(im))
else:
s = image.shape
if len(s) >= 2:
pix = QPixmap.fromImage(array2qimage(image))
else:
pix = QPixmap()
if pix:
if width > 0 and height > 0:
pix = pix.scaled(width, height)
elif width > 0:
pix = pix.scaledToWidth(width)
if height > 0:
pix = pix.scaledToHeight(height)
return pix
def test_image_to_array_rgba(self):
qimage = QImage(32, 64, QImage.Format.Format_ARGB32)
qimage.fill(QColor(0x44, 0x88, 0xcc, 0xee))
array = image_to_array(qimage)
self.assertEqual(array.shape, (64, 32, 4))
self.assertEqual(array.dtype, np.dtype('uint8'))
self.assertTrue(np.all(array[:, :, 0] == 0x44))
self.assertTrue(np.all(array[:, :, 1] == 0x88))
self.assertTrue(np.all(array[:, :, 2] == 0xcc))
self.assertTrue(np.all(array[:, :, 3] == 0xee))
def _update(self):
if self.value:
# w, h = self.control.width(), self.control.height()
# img = self.value.get_image_data(size=(w, h))
img = self.value.get_image_data()
if img is not None:
s = img.shape
if s:
im = QImage(img, s[1], s[0], QImage.Format_RGB32)
# im = QImage(img, s[1], s[0], QImage.Format_RGB16)
if self.swap:
im = QImage.rgbSwapped(im)
pix = QPixmap.fromImage(im)
self.control.setPixmap(pix)
def convert_bitmap(image, width=0, height=0):
if isinstance(image, ImageResource):
pix = traitsui_convert_bitmap(image)
elif isinstance(image, (PILImage.Image,)):
try:
data = image.tostring('raw', 'RGBA')
except NotImplementedError:
data = image.tobytes('raw', 'RGBA')
im = QImage(data, image.size[0], image.size[1], QImage.Format_ARGB32)
pix = QPixmap.fromImage(QImage.rgbSwapped(im))
else:
s = image.shape
if len(s) >= 2:
pix = QPixmap.fromImage(array2qimage(image))
else:
pix = QPixmap()
if pix:
if width > 0 and height > 0:
pix = pix.scaled(width, height)
elif width > 0:
pix = pix.scaledToWidth(width)
if height > 0:
pix = pix.scaledToHeight(height)
return pix
def QImage_from_np(image):
assert (np.max(image) <= 255)
image8 = image.astype(np.uint8, order='C', casting='unsafe')
height, width, colors = image8.shape
bytesPerLine = 4 * width
image = QImage(image8.data, width, height, bytesPerLine,
QImage.Format_RGB32)
return image
def array_to_image(array):
""" Convert a numpy array to a QImage.
This copies the data before passing it to Qt.
Parameters
----------
array : ndarray
An N x M x {3, 4} array of unsigned 8-bit ints. The image
format is assumed to be RGB or RGBA, based on the shape.
Return
------
image : QImage
The QImage created from the data. The pixel format is
QImage.Format.Format_RGB32.
"""
import numpy as np
if array.ndim != 3:
raise ValueError("Array must be either RGB or RGBA values.")
height, width, channels = array.shape
data = np.empty((height, width, 4), dtype='uint8')
if channels == 3:
data[:, :, [2, 1, 0]] = array
data[:, :, 3] = 0xff
elif channels == 4:
data[:, :, [2, 1, 0, 3]] = array
else:
raise ValueError("Array must be either RGB or RGBA values.")
bytes_per_line = 4 * width
if channels == 3:
image = QImage(data.data, width, height, bytes_per_line,
QImage.Format.Format_RGB32)
elif channels == 4:
image = QImage(data.data, width, height, bytes_per_line,
QImage.Format.Format_ARGB32)
# keep a reference to the array to ensure underlying data is available
image._numpy_data = data
return image
def set_tile(self, image):
data = image.tobytes('raw', 'RGB')
im = QImage(data, image.size[0], image.size[1], QImage.Format_RGB888)
pix = QPixmap.fromImage(im)
self._pix_maps.append(pix)
# print(self._pix_map)
self.update()
def present(self, frame):
cloned_frame = QVideoFrame(frame)
cloned_frame.map(QAbstractVideoBuffer.ReadOnly)
image = QImage(
cloned_frame.bits(),
cloned_frame.width(),
cloned_frame.height(),
cloned_frame.bytesPerLine(),
QVideoFrame.imageFormatFromPixelFormat(cloned_frame.pixelFormat())
)
self.frameAvailable.emit(image)
return True
def __init__(self, parent=None, image_func=None):
super().__init__(parent)
self.image = QImage()
self._np_image = np.zeros(shape=(0, 0, 4))
self.painter = None
self.resizeEvent(None)
if image_func is None:
def I_fun(image, bbox):
# Don't bother with creating an ndarray version
return image, self._np_image
self.image_func = I_fun
else:
self.image_func = image_func
def __init__(self, parent=None, image_func=None):
import numpy as np
super().__init__(parent)
self.image = QImage()
self._np_image = np.zeros(shape=(0, 0, 4))
self.painter = None
self.resizeEvent(None)
if image_func is None:
# Don't bother with creating an ndarray version
self.image_func = lambda image, bbox: image, self._np_image
else:
self.image_func = image_func
def test_resize_image_expand(self):
qimage = QImage(32, 64, QImage.Format.Format_RGB32)
qimage.fill(QColor(0x44, 0x88, 0xcc))
qimage = resize_image(qimage, (128, 128), AspectRatio.keep_expand)
self.assertIsInstance(qimage, QImage)
self.assertEqual(qimage.width(), 128)
self.assertEqual(qimage.height(), 256)
def test_resize_image_smooth(self):
qimage = QImage(32, 64, QImage.Format.Format_RGB32)
qimage.fill(QColor(0x44, 0x88, 0xcc))
qimage = resize_image(qimage, (128, 128), mode=ScaleMode.smooth)
self.assertIsInstance(qimage, QImage)
self.assertEqual(qimage.width(), 128)
self.assertEqual(qimage.height(), 128)
def _update(self):
if self.value:
# w, h = self.control.width(), self.control.height()
# img = self.value.get_image_data(size=(w, h))
img = self.value.get_image_data()
if img is not None:
s = img.shape
if s:
im = QImage(img, s[1], s[0], QImage.Format_RGB32)
# im = QImage(img, s[1], s[0], QImage.Format_RGB16)
if self.swap:
im = QImage.rgbSwapped(im)
pix = QPixmap.fromImage(im)
self.control.setPixmap(pix)
def set_frame(self):
ok, data = self.cap.read()
shape = data.shape
im = QImage(data, shape[1], shape[0], QImage.Format_RGB888)
pix = QPixmap.fromImage(QImage.rgbSwapped(im))
self.label.setPixmap(pix)
def test_image_to_array_bad(self):
qimage = QImage(32, 64, QImage.Format.Format_RGB30)
qimage.fill(QColor(0x44, 0x88, 0xcc))
with self.assertRaises(ValueError):
image_to_array(qimage)
def set_frame(self):
ok, data = self.cap.read()
shape = data.shape
im = QImage(data, shape[1], shape[0], QImage.Format_RGB888)
pix = QPixmap.fromImage(QImage.rgbSwapped(im))
self.label.setPixmap(pix)