Tasks_by_Nathan

Answers_Nathan/README.md

@@ -0,0 +1,4 @@
+Name: Nathan Julian Dsouza
+Reg ID: 241080016
+Branch: IT
+College mail; njdsouza_b24@it.vjti.ac.in

Answers_Nathan/Task7.py

@@ -0,0 +1,40 @@
+import cv2 as cv
+import numpy as np
+
+#Just to get the dimensions
+img = cv.imread(r'H:\Engineering 2024\Coding\ProjectX\Tasks to be done\OpenCV-Clone\Answers_Nathan\task7.png')
+print(img.shape)
+
+height = img.shape[0]*3
+width = img.shape[1]*3
+
+img = np.ones((height, width, 3), dtype=np.uint8) * 255
+img[:] = (255, 200, 173) 
+
+#ground
+cv.rectangle(img, (0, height), (width, height-20), (0, 100, 0), -1)
+#house
+cv.rectangle(img, (width//3, height-21), (2*width//3, height-200), (0, 75, 128), -1)
+#door
+cv.rectangle(img, (width//2-30, height-21), (width//2+30, height-100), (230, 255, 255), -1)
+#window
+cv.rectangle(img, (width//3+10, height-150), (width//3+60, height-100), (230, 255, 255), -1)  
+cv.rectangle(img, (2*width//3-60, height-150), (2*width//3-10, height-100), (230, 255, 255), -1)
+
+#roof
+pt1 = (2*width//3+30, height-200)
+pt2 = (width//3-30, height-200)
+pt3 = (width//2, height-280)
+cv.circle(img, pt1, 0, (0,255,255), -1)
+cv.circle(img, pt2, 0, (0,255,255), -1)
+cv.circle(img, pt3, 0, (0,255,255), -1)
+triangle_cnt = np.array( [pt1, pt2, pt3] )
+cv.drawContours(img, [triangle_cnt], 0, (10,75,225), -1)
+
+#text
+cv.putText(img, 'My House Eh', (width//3, height//2), cv.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1, cv.LINE_AA)
+#Sun
+cv.circle(img, (width-70, 100), 30, (0,245,245), -1)
+
+cv.imwrite('Task7_Nathan.png', img)
+cv.waitKey(0)

Answers_Nathan/task1.py

@@ -0,0 +1,20 @@
+import cv2 as cv
+import numpy as np
+
+img = cv.imread('H:\Engineering 2024\Coding\ProjectX\Answers_Nathan\OpenCV-Clone\Answers_Nathan\Task1.png')
+
+def apply_grayscale(image):
+    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
+    return gray 
+
+img2 = apply_grayscale(img)
+
+count = 0
+
+for i in range(img2.shape[0]):
+    for j in range(img2.shape[1]):
+        if img2[i][j] != 255:
+            count += 1
+            print(f"Pixel {count} at (", i, ",", j, ") is not white.")
+
+print("The number of non-white pixels in the image is: ", count)

Answers_Nathan/task2.py

@@ -0,0 +1,34 @@
+import cv2 as cv
+import numpy as np
+
+img = cv.imread(r'H:\Engineering 2024\Coding\ProjectX\Answers_Nathan\OpenCV-Clone\Answers_Nathan\Task2.png', cv.IMREAD_GRAYSCALE)
+
+morse = ''
+for i in range(img.shape[0]):
+    for j in range(img.shape[1]):
+        if img[i][j] == 255:
+            morse = morse + '.'
+        elif img[i][j] == 0:
+            morse = morse + '-'
+        else:
+            morse = morse + ' '
+
+
+print(morse)
+
+def morse_reader(morse):
+    morse_dict = {
+        '.-': 'A', '-...': 'B', '-.-.': 'C', '-..': 'D',
+        '.': 'E', '..-.': 'F', '--.': 'G', '....': 'H',
+        '..': 'I', '.---': 'J', '-.-': 'K', '.-..': 'L',
+        '--': 'M', '-.': 'N', '---': 'O', '.--.': 'P',
+        '--.-': 'Q', '.-.': 'R', '...': 'S', '-': 'T',
+        '..-': 'U', '...-': 'V', '.--': 'W', '-..-': 'X',
+        '-.--': 'Y', '--..': 'Z'
+    }
+
+    return ''.join(morse_dict.get(code) for code in morse.strip().split())
+
+
+print(f'The Morse Code gives us: {morse_reader(morse)}')
+