def build_items():
x = np.linspace(-10, 10, 200)
y = np.sin(np.sin(np.sin(x)))
filename = osp.join(osp.dirname(__file__), "brain.png")
items = [
make.curve(x, y, color="b"),
make.image(filename=filename),
make.trimage(filename=filename),
make.maskedimage(filename=filename, colormap='gray',
show_mask=True, xdata=[0, 40], ydata=[0, 50]),
make.label("Relative position <b>outside</b>",
(x[0], y[0]), (-10, -10), "BR"),
make.label("Relative position <i>inside</i>",
(x[0], y[0]), (10, 10), "TL"),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
make.rectangle(-3, -0.8, -0.5, -1., "rc1"),
make.segment(-3, -0.8, -0.5, -1., "se1"),
make.ellipse(-10, 0.0, 0, 0, "el1"),
make.annotated_rectangle(0.5, 0.8, 3, 1., "rc1", "tutu"),
make.annotated_segment(-1, -1, 1, 1., "rc1", "tutu"),
Axes( (0, 0), (1, 0), (0, 1) ),
PolygonShape(np.array([[150., 330.],
[270., 520.],
[470., 480.],
[520., 360.],
[460., 200.],
[250., 240.]])),
]
return items
def build_items():
x = np.linspace(-10, 10, 200)
y = np.sin(np.sin(np.sin(x)))
filename = osp.join(osp.dirname(__file__), "brain.png")
items = [
make.curve(x, y, color="b"),
make.image(filename=filename),
make.trimage(filename=filename),
make.maskedimage(filename=filename,
colormap='gray',
show_mask=True,
xdata=[0, 40],
ydata=[0, 50]),
make.label("Relative position <b>outside</b>", (x[0], y[0]),
(-10, -10), "BR"),
make.label("Relative position <i>inside</i>", (x[0], y[0]), (10, 10),
"TL"),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
make.rectangle(-3, -0.8, -0.5, -1., "rc1"),
make.segment(-3, -0.8, -0.5, -1., "se1"),
make.ellipse(-10, 0.0, 0, 0, "el1"),
make.annotated_rectangle(0.5, 0.8, 3, 1., "rc1", "tutu"),
make.annotated_segment(-1, -1, 1, 1., "rc1", "tutu"),
Axes((0, 0), (1, 0), (0, 1)),
PolygonShape(
np.array([[150., 330.], [270., 520.], [470., 480.], [520., 360.],
[460., 200.], [250., 240.]])),
]
return items
def update(self, img_data):
"""Update the image plot and other information."""
# Apply image transformations if necessary.
img_data = np.rot90(img_data, -self.rotation)
if self.mirror[0]:
img_data = np.flipud(img_data)
if self.mirror[1]:
img_data = np.fliplr(img_data)
# Configure plot
plot = self.imageWidget.get_plot()
img = get_image_item(self.imageWidget)
roi_rect = get_rect_item(self.imageWidget)
if img is None:
img = make.image(img_data, colormap=str(self.colormapBox.currentText()))
plot.add_item(img)
else:
img.set_data(img_data)
#img.select()
#plot.replot()
# Display ROI if requested.
# TODO: make mirroring work
roi = np.array(self.cam.roi)
center = np.array(img_data.shape)/2
roi = rotate_rect_cw(roi, center, self.rotation)
if self.showROIBox.isChecked():
if roi_rect is None:
roi_rect = make.rectangle(roi[0], roi[1], roi[2], roi[3])
roi_rect.set_resizable(False)
roi_rect.set_selectable(False)
plot.add_item(roi_rect)
else:
roi_rect.set_rect(roi[0], roi[1], roi[2], roi[3])
else:
if roi_rect is not None:
plot.del_item(roi_rect)
# Update plot
if self.autoscaleButton.isChecked():
self.rescale()
self.set_lut_range()
plot.set_plot_limits(0, img_data.shape[1], 0, img_data.shape[0])
plot.set_aspect_ratio(img_data.shape[0]/img_data.shape[1], lock=True)
plot.replot()
def update(self):
"""Show the currently selected image from the ring buffer."""
# Get the specified image data and ROI
img_data = self.rbuffer.read(self.indexBox.value())
roi = self.rbuffer.get_roi(self.indexBox.value())
# Update the viewer
plot = self.imageWidget.get_plot()
img = get_image_item(self.imageWidget)
rect = get_rect_item(self.imageWidget)
if img is None:
img = make.image(img_data,
colormap=str(
self.parent().colormapBox.currentText()))
plot.add_item(img)
else:
img.set_data(img_data)
if rect is None:
rect = make.rectangle(roi[0], roi[1], roi[2], roi[3])
plot.add_item(rect)
else:
rect.set_rect(roi[0], roi[1], roi[2], roi[3])
plot.replot()
def addRoi(self, x0=0, y0=0, x1=1, y1=1):
self.roi = make.rectangle(x0, y0, x1, y1, "ROI")
self.plot.add_item(self.roi)