def generate_image(self):
self.vapory_sene = vapory.Scene(
self.vapory_camera,
objects=[self.vapory_light, self.simulated_loop.loop_object])
image_array = self.vapory_sene.render("/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1])
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit("imageReceived", self.qimage, self.qimage.width(),
self.qimage.height(), self.force_update)
def _do_imagePolling(self, sleep_time):
"""
Descript. :
"""
while True:
image_array = self.vapory_sene.render(
"/tmp/vapory_tmp_image.png",
width=self.image_dimensions[0],
height=self.image_dimensions[1])
self.qimage = QImage("/tmp/vapory_tmp_image.png")
self.emit("imageReceived", self.qimage, self.qimage.width(),
self.qimage.height(), self.force_update)
time.sleep(sleep_time)
def init(self):
"""
Descript. :
"""
self.qimage = QImage()
current_path = os.path.dirname(os.path.abspath(__file__)).split(os.sep)
current_path = os.path.join(*current_path[1:-1])
image_path = os.path.join("/", current_path,
"ExampleFiles/fakeimg.jpg")
self.qimage.load(image_path)
self.force_update = False
self.image_dimensions = [600, 400]
self.image_type = JpegType()
self.setIsReady(True)
def __call__(self, img_flex, palette_in, min_i, max_i):
flex_2d_data = img_flex.as_double()
flex_2d_mask = flex.double(
flex.grid(flex_2d_data.all()[0],
flex_2d_data.all()[1]), 0)
arr_i = self.arr_img(flex_2d_data,
flex_2d_mask,
i_min=min_i,
i_max=max_i,
palette=palette_in)
q_img = QImage(
arr_i.data,
np.size(arr_i[0:1, :, 0:1]),
np.size(arr_i[:, 0:1, 0:1]),
QImage.Format_RGB32,
)
return q_img
