Post cleanup

.gitignore

@@ -0,0 +1,2 @@
+__pycache__
+.venv/

assignment1/solution.py

@@ -141,11 +141,11 @@ def excercise_two() -> None:
     size where the value of pixels is determined by whether the value of the corresponding
     pixels in the source image is greater or lower than the given threshold.
     """
-    two_a()
-    two_b('./images/bird.jpg', 100, 20)
+    #two_a()
+    #two_b('./images/bird.jpg', 100, 20)
     two_c('./images/bird.jpg', 20, 100)
-    two_d()
-    two_e(uz_image.imread_gray('./images/bird.jpg', uz_image.ImageType.uint8).astype(np.uint8))
+    #two_d()
+    #two_e(uz_image.imread_gray('./images/bird.jpg', uz_image.ImageType.uint8).astype(np.uint8))
 
 
 def two_a() -> tuple[npt.NDArray[np.float64], npt.NDArray[np.uint8]]:
@@ -223,6 +223,7 @@ def two_c(image_path: str, number_of_bins_first: int, number_of_bins_second: int
 
     image_uint8 = uz_image.imread_gray(image_path, uz_image.ImageType.uint8)
     image_float64 = uz_image.imread_gray(image_path, uz_image.ImageType.float64)
+    print(image_uint8)
 
     H01 = uz_image.get_image_bins(image_uint8, number_of_bins_first)
     H02 = uz_image.get_image_bins(image_uint8, number_of_bins_second)
@@ -294,11 +295,11 @@ def two_e(image: npt.NDArray[np.uint8]):
 ######################################################
 
 def excercise_three() -> None:
-    #three_a()
-    #mask1, _ = three_b()
+    three_a()
+    mask1, _ = three_b()
     #three_c(uz_image.imread('./images/bird.jpg', uz_image.ImageType.float64), mask1)
     #three_d()
-    three_e()
+    #three_e()
 
 
 def three_a() -> None:
@@ -509,9 +510,9 @@ def three_e():
 
 
 def main() -> None:
-    excercise_one()
+    #excercise_one()
     excercise_two()
-    excercise_three()
+#excercise_three()
 
 if __name__ == "__main__":
     main()