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April 11, 2018 05:32
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colors.py
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| import numpy as np | |
| import PIL.Image as Image | |
| import PIL.ImageColor as ImageColor | |
| import PIL.ImageDraw as ImageDraw | |
| import PIL.ImageFont as ImageFont | |
| import random | |
| STANDARD_COLORS = [ | |
| 'AliceBlue', 'Chartreuse', 'Aqua', 'Aquamarine', 'Azure', 'Beige', 'Bisque', | |
| 'BlanchedAlmond', 'BlueViolet', 'BurlyWood', 'CadetBlue', 'AntiqueWhite', | |
| 'Chocolate', 'Coral', 'CornflowerBlue', 'Cornsilk', 'Crimson', 'Cyan', | |
| 'DarkCyan', 'DarkGoldenRod', 'DarkGrey', 'DarkKhaki', 'DarkOrange', | |
| 'DarkOrchid', 'DarkSalmon', 'DarkSeaGreen', 'DarkTurquoise', 'DarkViolet', | |
| 'DeepPink', 'DeepSkyBlue', 'DodgerBlue', 'FireBrick', 'FloralWhite', | |
| 'ForestGreen', 'Fuchsia', 'Gainsboro', 'GhostWhite', 'Gold', 'GoldenRod', | |
| 'Salmon', 'Tan', 'HoneyDew', 'HotPink', 'IndianRed', 'Ivory', 'Khaki', | |
| 'Lavender', 'LavenderBlush', 'LawnGreen', 'LemonChiffon', 'LightBlue', | |
| 'LightCoral', 'LightCyan', 'LightGoldenRodYellow', 'LightGray', 'LightGrey', | |
| 'LightGreen', 'LightPink', 'LightSalmon', 'LightSeaGreen', 'LightSkyBlue', | |
| 'LightSlateGray', 'LightSlateGrey', 'LightSteelBlue', 'LightYellow', 'Lime', | |
| 'LimeGreen', 'Linen', 'Magenta', 'MediumAquaMarine', 'MediumOrchid', | |
| 'MediumPurple', 'MediumSeaGreen', 'MediumSlateBlue', 'MediumSpringGreen', | |
| 'MediumTurquoise', 'MediumVioletRed', 'MintCream', 'MistyRose', 'Moccasin', | |
| 'NavajoWhite', 'OldLace', 'Olive', 'OliveDrab', 'Orange', 'OrangeRed', | |
| 'Orchid', 'PaleGoldenRod', 'PaleGreen', 'PaleTurquoise', 'PaleVioletRed', | |
| 'PapayaWhip', 'PeachPuff', 'Peru', 'Pink', 'Plum', 'PowderBlue', 'Purple', | |
| 'Red', 'RosyBrown', 'RoyalBlue', 'SaddleBrown', 'Green', 'SandyBrown', | |
| 'SeaGreen', 'SeaShell', 'Sienna', 'Silver', 'SkyBlue', 'SlateBlue', | |
| 'SlateGray', 'SlateGrey', 'Snow', 'SpringGreen', 'SteelBlue', 'GreenYellow', | |
| 'Teal', 'Thistle', 'Tomato', 'Turquoise', 'Violet', 'Wheat', 'White', | |
| 'WhiteSmoke', 'Yellow', 'YellowGreen' | |
| ] | |
| def draw_bounding_box_on_image_array(image, | |
| ymin, | |
| xmin, | |
| ymax, | |
| xmax, | |
| color='red', | |
| thickness=4, | |
| display_str_list=(), | |
| use_normalized_coordinates=True): | |
| image_pil = Image.fromarray(np.uint8(image)).convert('RGB') | |
| draw_bounding_box_on_image(image_pil, ymin, xmin, ymax, xmax, color, | |
| thickness, display_str_list, | |
| use_normalized_coordinates) | |
| np.copyto(image, np.array(image_pil)) | |
| def draw_bounding_box_on_image(image, | |
| ymin, | |
| xmin, | |
| ymax, | |
| xmax, | |
| color='red', | |
| thickness=4, | |
| display_str_list=(), | |
| use_normalized_coordinates=True): | |
| draw = ImageDraw.Draw(image) | |
| im_width, im_height = image.size | |
| if use_normalized_coordinates: | |
| (left, right, top, bottom) = (xmin * im_width, xmax * im_width, | |
| ymin * im_height, ymax * im_height) | |
| else: | |
| (left, right, top, bottom) = (xmin, xmax, ymin, ymax) | |
| draw.line([(left, top), (left, bottom), (right, bottom), | |
| (right, top), (left, top)], width=thickness, fill=color) | |
| try: | |
| font = ImageFont.truetype('arial.ttf', 24) | |
| except IOError: | |
| font = ImageFont.load_default() | |
| display_str_heights = [font.getsize(ds)[1] for ds in display_str_list] | |
| total_display_str_height = (1 + 2 * 0.05) * sum(display_str_heights) | |
| if top > total_display_str_height: | |
| text_bottom = top | |
| else: | |
| text_bottom = bottom + total_display_str_height | |
| for display_str in display_str_list[::-1]: | |
| text_width, text_height = font.getsize(display_str) | |
| margin = np.ceil(0.05 * text_height) | |
| draw.rectangle( | |
| [(left, text_bottom - text_height - 2 * margin), (left + text_width, | |
| text_bottom)], | |
| fill=color) | |
| draw.text( | |
| (left + margin, text_bottom - text_height - margin), | |
| display_str, | |
| fill='black', | |
| font=font) | |
| text_bottom -= text_height - 2 * margin | |
| def draw_bounding_box_on_image_array( | |
| image, | |
| class_str, | |
| ymin, | |
| xmin, | |
| ymax, | |
| xmax, | |
| color, | |
| thickness=4, | |
| use_normalized_coordinates=True): | |
| image_pil = Image.fromarray(np.uint8(image)).convert('RGB') | |
| display_str_list = class_str | |
| draw_bounding_box_on_image(image_pil, ymin, xmin, ymax, xmax, color, | |
| thickness, display_str_list, | |
| use_normalized_coordinates) | |
| np.copyto(image, np.array(image_pil)) | |
| def visualize_boxes_and_labels_on_image_array( | |
| image, | |
| boxes, | |
| ): | |
| color = random.choice(STANDARD_COLORS) | |
| for box in boxes: | |
| ymin. xmin, ymax, xmax = box | |
| draw_bounding_box_on_image_array( | |
| image, | |
| 'class detected', | |
| ymin, | |
| xmin, | |
| ymax, | |
| xmax, | |
| color=color, | |
| thickness=4, | |
| use_normalized_coordinates=True) |
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