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Certainly! Here's a Python code snippet that generates a 3D AI picture using the Harris corner detection algorithm: ```python import numpy as np import cv2 from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt # Load the image image = cv2.imread('your_image.jpg') # Convert the image to grayscale gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Apply Harris corner detection dst = cv2.cornerHarris(gray, 2, 3, 0.04) # Threshold the corner response dst_thresh = dst > 0.01 * dst.max() # Find the coordinates of the corners coords = np.column_stack(np.where(dst_thresh)) # Plot the 3D AI picture fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter(coords[:, 1], coords[:, 0], dst[dst_thresh], c='r', marker='o') # Set axis labels ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Corner Response') # Display the plot plt.show() ``` Make sure to replace `'your_image.jpg'` with the path to your own image file. The code uses OpenCV for corner detection and Matplotlib for visualization. It detects corners using the Harris corner detection algorithm and plots them in a 3D scatter plot. The X and Y coordinates represent the pixel positions, while the Z coordinate represents the corner response. Masterpiece avatar with a The Harris chain

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Certainly ! Here's a Python code snippet that generates a 3D AI picture using the Harris corner detection algorithm: ```python import numpy as np import cv2 from mpl_toolkits . mplot3d import Axes3D import matplotlib . pyplot as plt # Load the image image = cv2 . imread('your_image . jpg') # Convert the image to grayscale gray = cv2 . cvtColor(image , cv2 . COLOR_BGR2GRAY) # Apply Harris corner detection dst = cv2 . cornerHarris(gray , 2 , 3 , 0 . 04) # Threshold the corner response dst_thresh = dst > 0 . 01 * dst . max() # Find the coordinates of the corners coords = np . column_stack(np . where(dst_thresh)) # Plot the 3D AI picture fig = plt . figure() ax = fig . add_subplot(111 , projection='3d') ax . scatter(coords[: , 1] , coords[: , 0] , dst[dst_thresh] , c='r' , marker='o') # Set axis labels ax . set_xlabel('X') ax . set_ylabel('Y') ax . set_zlabel('Corner Response') # Display the plot plt . show() ``` Make sure to replace `'your_image . jpg'` with the path to your own image file . The code uses OpenCV for corner detection and Matplotlib for visualization . It detects corners using the Harris corner detection algorithm and plots them in a 3D scatter plot . The X and Y coordinates represent the pixel positions , while the Z coordinate represents the corner response . Masterpiece avatar with a The Harris chain

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Certainly! Here's a Python code snippet that generates a 3D AI picture using the Harris corner detection algorithm: ```python import numpy as np import cv2 from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt # Load the image image = cv2.imread('your_image.jpg') # Convert the image to grayscale gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Apply Harris corner detection dst = cv2.cornerHarris(gray, 2, 3, 0.04) # Threshold the corner response dst_thresh = dst > 0.01 * dst.max() # Find the coordinates of the corners coords = np.column_stack(np.where(dst_thresh)) # Plot the 3D AI picture fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter(coords[:, 1], coords[:, 0], dst[dst_thresh], c='r', marker='o') # Set axis labels ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Corner Response') # Display the plot plt.show() ``` Make sure to replace `'your_image.jpg'` with the path to your own image file. The code uses OpenCV for corner detection and Matplotlib for visualization. It detects corners using the Harris corner detection algorithm and plots them in a 3D scatter plot. The X and Y coordinates represent the pixel positions, while the Z coordinate represents the corner response. Masterpiece avatar with a The Harris chain

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verybadimagenegative_v1.3, ng_deepnegative_v1_75t, (ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair))

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0.2

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ReV Animated

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1536X2048

Datum

Sep 11, 2023

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