()
| 111 | |
| 112 | |
| 113 | def main(): |
| 114 | global img_list |
| 115 | img = cv2.imread("Image/" + str(args.f) + ".jpg") |
| 116 | img = cv2.resize(img, (800, 500)) |
| 117 | img_list.append(img) |
| 118 | |
| 119 | height, width, _ = img.shape |
| 120 | print(">>> Row-wise Color sorting") |
| 121 | for row in tqdm(range(0, height)): |
| 122 | color, color_n = [], [] |
| 123 | add = [] |
| 124 | |
| 125 | for col in range(0, width): |
| 126 | val = img[row][col].tolist() |
| 127 | |
| 128 | # val includes all rgb values between the range of 0 to 1 |
| 129 | # This makes the sorting easier and efficient |
| 130 | val = [i / 255.0 for i in val] |
| 131 | color.append(val) |
| 132 | |
| 133 | thresh = findThreshold( |
| 134 | color, add |
| 135 | ) # setting the threshold value for every row in the frame |
| 136 | |
| 137 | # For the specific row , if all the values are non-zero then it is sorted with color |
| 138 | if np.all(np.asarray(color)) == True: |
| 139 | color.sort(key=lambda bgr: step(bgr, 8)) # step sorting |
| 140 | band, img = generateColors(color, img, row) |
| 141 | measure(len(color), row, col, height, width) |
| 142 | |
| 143 | # For the specific row , if any of the values are zero it gets sorted with color_n |
| 144 | if np.all(np.asarray(color)) == False: |
| 145 | for ind, i in enumerate(color): |
| 146 | # Accessing every list within color |
| 147 | # Added to color_n if any of the element in the list is non-zero |
| 148 | # and their sum is less than threshold value |
| 149 | |
| 150 | if np.any(np.asarray(i)) == True and sum(i) < thresh: |
| 151 | color_n.append(i) |
| 152 | |
| 153 | color_n.sort(key=lambda bgr: step(bgr, 8)) # step sorting |
| 154 | band, img = generateColors(color_n, img, row) |
| 155 | measure(len(color_n), row, col, height, width) |
| 156 | cv2.imwrite("Image_sort/" + str(args.f) + "/" + str(row + 1) + ".jpg", img) |
| 157 | |
| 158 | # Writing down the final sorted image |
| 159 | cv2.imwrite( |
| 160 | "Image_sort/" + str(args.f) + "/" + str(args.f) + ".jpg", img |
| 161 | ) # Displaying the final picture |
| 162 | |
| 163 | print("\n>>> Formation of the Video progress of the pixel-sorted image") |
| 164 | makeVideo() |
| 165 | sound.main( |
| 166 | args.f |
| 167 | ) # Calling the external python file to create the audio of the pixel-sorted image |
| 168 | |
| 169 | |
| 170 | main() |
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