up: Could you do this in-place? """ # clockwise rotate # first reverse up to down, then swap the symmetry # 1 2 3 7 8 9
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"""
You are given an n x n 2D mat representing an image.
Rotate the image by 90 degrees (clockwise).
Follow up:
Could you do this in-place?
"""
# clockwise rotate
# first reverse up to down, then swap the symmetry
# 1 2 3 7 8 9 7 4 1
# 4 5 6 => 4 5 6 => 8 5 2
# 7 8 9 1 2 3 9 6 3
def rotate(mat):
if not mat:
return mat
mat.reverse()
for i in range(len(mat)):
for j in range(i):
mat[i][j], mat[j][i] = mat[j][i], mat[i][j]
return mat
if __name__ == "__main__":
mat = [[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
print(mat)
rotate(mat)
print(mat).
Step by step
Solved in 3 steps with 1 images
- 7.Do code complete"""You are given an n x n 2D mat representing an image. Rotate the image by 90 degrees (clockwise). Follow up:Could you do this in-place?""" # clockwise rotate# first reverse up to down, then swap the symmetry# 1 2 3 7 8 9 7 4 1# 4 5 6 => 4 5 6 => 8 5 2# 7 8 9 1 2 3 9 6 3 def rotate(mat): if not mat: return mat mat.reverse() for i in range(len(mat)): for j in range(i): mat[i][j], mat[j][i] = mat[j][i], mat[i][j] return mat if __name__ == "__main__": mat = [[1, 2, 3], [4, 5, 6], [7, 8, 9]].Please using python to implement the following task. Given a RGB color image ‘test.jpg’ noised by salt and pepper noise, first choose a good filter to remove noise on each channel, then based on the gray image of this new RGB color image, use canny edge detection to get edges. Finally show the original image and its edge image.In python, using numpy and pandas take the reshaped images array and create a new image consisting of a 2×2 grid with images[0] in the top-left position, images[1] in the top-right position, images[2] in the bottom-left position, and images[3] in the bottom-right position. Show using plt.imshow(image)
- Need help with changing the following code to meet the request in the image for MATLAB. THank you. syms z numerator = z^2 + 2*z; denominator = z^2 + 0.4*z - 0.12; zeros = solve(numerator == 0, z); poles = solve(denominator == 0, z); figure; hold on; plot(real(zeros), imag(zeros), 'o', 'MarkerSize', 10); plot(real(poles), imag(poles), 'x', 'MarkerSize', 10); grid on; xlabel('Real part'); ylabel('Imaginary part'); title('Zero-Pole Plot'); legend('Zeros', 'Poles'); if all(abs(poles) < 1) disp('The system is stable.'); else disp('The system is unstable.'); endDownload a gray scale image from the internet. Load it in a matrix in your program. Reshape it to 50 x 50. Show the 50x 50 matrix. Can you see the values? (Using Numpy)While doing Histogram Stretching, we established that we go pixel by pixel through whole image and apply Histogram Stretching Formula for each pixel. So, for example in the following image, if there are 100 pixels, we would do Histogram Stretching Formula 100 times. Do you think we could do Histogram Stretching for whole image and calculate this formula fewer times ? If no why ? If yes, how ?
- The selected answer in the image is wrongPls answer the following question from the pictureComputer Science Let C be a black circular disk in front of a white background. The circular disk is parallel to the image plane. This disk is projected on the image plane through a pinhole. What is the shape of the disk’s projection on the image plane? [Hint: A circular disk parallel to the image plane is described algebraically as all 3D points [X,Y,Z]T with (X-X0) 2 +(Y-Y0) 2 =R2 , Z=Z0, where [X0,Y0,Z0] T is the center of the disk and R is its radius.]
- Please explain the code fully thanks. Using Matlab Write a function g=ImagePad(f,r,c,padtype,loc) with input image f and output image g. If ’padtype’ is ’zeros’, the function should implement zero padding. If ’padtype’ is ’replicate’, replicate padding should be implemented (in which intensity values for pixels outside the boundary are set equal to the intensity value of the nearest boundary pixel). If ’padtype’ is ’mirror’, mirror padding is implemented in which the padded part is a mirror reflection of the image. You should first reflect in the horizontal boundary, then in the veritcal boundary. If ‘loc’ is ’both’, then r rows are added above and r rows are added below the image, and c columns are added to both the left and the right of the image. If ’loc’ is ’post’, then r rows are added below the image, and c columns are added to the right of the image. Test your program and demonstrate that it works.Describe an algorithm for converting a greyscale image to a two-bit image (i.e. only using black, dark grey, light grey and white), while preserving as much visual quality as possible. Your algorithm should map every input greyscale pixel to exactly one output pixel.Consider two traffic lights in a junction that each one has a 7-segment display to show the remaining time. The traffic lights are working as follows: State1: Traffic light 1=GREEN Traffic light 2=RED for 10 seconds,State2: Traffic light 1=YELLOW Traffic light 2=YELLOW for 2 seconds,State3: Traffic light 1=RED Traffic light 2=GREEN for 6 seconds,GOTO State1 During each step, the amount of remaining time should be displayed on the 7-segment and it should be updated every one second. For example in State 1, the display shows 9, then after a second it shows 8, and ... finally, it shows 0 for one second, and the control moves to State 2Write an 8051 assembly program according to the Edsim51 configuration, LED 0, LED1 and LED 2 construct the first traffic light, and LED 3, LED 4, and LED 5 can be used for the 2nd traffic light. Assume that the lookup table for 7segment exists on memory at address 0F00h
