def test_filterFrame_black_white(self):
img = cv2.imread("Testing.jpg")
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img = cv2.cvtColor(img, cv2.cv2.COLOR_GRAY2BGR)
filter1 = FilterFrame(master=testFrame())
filter1._FilterFrame__black_white()
self.assertTrue(img.all() == filter1.filtered_image.all())
def test_filterFrame_emboss(self):
img = cv2.imread("Testing.jpg")
kernel = np.array([[0, -1, -1],
[1, 0, -1],
[1, 1, 0]])
img = cv2.filter2D(img, -1, kernel)
filter1 = FilterFrame(master=testFrame())
filter1._FilterFrame__emboss()
self.assertTrue(img.all() == filter1.filtered_image.all())
def test_filterFrame_sepia(self):
img = cv2.imread("Testing.jpg")
kernel = np.array([[0.272, 0.534, 0.131],
[0.349, 0.686, 0.168],
[0.393, 0.769, 0.189]])
img = cv2.filter2D(img, -1, kernel)
filter1 = FilterFrame(master=testFrame())
filter1._FilterFrame__sepia()
self.assertTrue(img.all() == filter1.filtered_image.all())
def __filter_button_released(self, event):
"""
Opens the filter frame on button press
@:param event the button press event passed by the pressing of the button
"""
if self.winfo_containing(event.x_root,
event.y_root) == self.filter_button:
if self.master.is_image_selected:
if self.master.is_draw_state:
self.master.image_viewer.deactivate_draw()
if self.master.is_crop_state:
self.master.image_viewer.deactivate_crop()
self.master.filter_frame = FilterFrame(master=self.master)
self.master.filter_frame.grab_set()
def __init__(self, master=None, app=None):
PanedWindow.__init__(self, master, {
"orient": "horizontal",
"showhandle": "1",
"handlepad": 250
})
self.app = app
self.sourceFrame = SourceFrame(self, "Source", app=app)
self.filterFrame = FilterFrame(self, "Declarations", app=app)
self.add(self.sourceFrame, minsize="4i")
#self.add(self.filterFrame, minsize="2i")
self.showfilter = False
self.show_filter()
self.filterFrame.text.tag_bind("filter", "<Button-1>",
self.clicked_filter)
def test_filterFrame_negative(self):
img = cv2.imread("Testing.jpg")
img = cv2.bitwise_not(img)
filter1 = FilterFrame(master=testFrame())
filter1._FilterFrame__negative()
self.assertTrue(img.all() == filter1.filtered_image.all())
def test_filterFrame_median_blur(self):
img = cv2.imread("Testing.jpg")
img = cv2.GaussianBlur(img, (41, 41), 0)
filter1 = FilterFrame(master=testFrame())
filter1._FilterFrame__median_blur()
self.assertTrue(img.all() == filter1.filtered_image.all())
