# -*- coding: utf-8 -*- from __future__ import absolute_import, print_function, division import numpy as np from PIL import Image, ImageDraw, ImageFont import cv2 from libs.configs import cfgs from libs.label_name_dict.label_dict import LABEl_NAME_MAP NOT_DRAW_BOXES = 0 ONLY_DRAW_BOXES = -1 ONLY_DRAW_BOXES_WITH_SCORES = -2 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', 'LightBlue', 'LightGreen' ] FONT = ImageFont.load_default() def draw_a_rectangel_in_img(draw_obj, box, color, width): ''' use draw lines to draw rectangle. since the draw_rectangle func can not modify the width of rectangle :param draw_obj: :param box: [x1, y1, x2, y2] :return: ''' x1, y1, x2, y2 = box[0], box[1], box[2], box[3] top_left, top_right = (x1, y1), (x2, y1) bottom_left, bottom_right = (x1, y2), (x2, y2) draw_obj.line(xy=[top_left, top_right], fill=color, width=width) draw_obj.line(xy=[top_left, bottom_left], fill=color, width=width) draw_obj.line(xy=[bottom_left, bottom_right], fill=color, width=width) draw_obj.line(xy=[top_right, bottom_right], fill=color, width=width) def only_draw_scores(draw_obj, box, score, color): x, y = box[0], box[1] draw_obj.rectangle(xy=[x, y-10, x+100, y], fill=color) draw_obj.text(xy=(x, y-10), text="obj:" +str(round(score, 2)), fill='white', font=FONT) def draw_label_with_scores(draw_obj, box, label, score, color): x, y = box[0], box[1] draw_obj.rectangle(xy=[x, y-10, x+100, y], fill=color) txt = LABEl_NAME_MAP[label] + ':' + str(round(score, 2)) draw_obj.text(xy=(x, y-10), text=txt, fill='white', font=FONT) def draw_boxes_with_label_and_scores(img_array, boxes, labels, scores): img_array = img_array + np.array(cfgs.PIXEL_MEAN) img_array.astype(np.float32) boxes = boxes.astype(np.int64) labels = labels.astype(np.int32) img_array = np.array(img_array * 255 / np.max(img_array), dtype=np.uint8) img_obj = Image.fromarray(img_array) raw_img_obj = img_obj.copy() draw_obj = ImageDraw.Draw(img_obj) num_of_objs = 0 for box, a_label, a_score in zip(boxes, labels, scores): if a_label != NOT_DRAW_BOXES: num_of_objs += 1 #draw_a_rectangel_in_img(draw_obj, box, color=STANDARD_COLORS[a_label], width=3) draw_a_rectangel_in_img(draw_obj, box, color='Red', width=3) if a_label == ONLY_DRAW_BOXES: # -1 continue elif a_label == ONLY_DRAW_BOXES_WITH_SCORES: # -2 only_draw_scores(draw_obj, box, a_score, color='Yellow') continue else: draw_label_with_scores(draw_obj, box, a_label, a_score, color='DeepSkyBlue') out_img_obj = Image.blend(raw_img_obj, img_obj, alpha=0.7) return np.array(out_img_obj) if __name__ == '__main__': img_array = cv2.imread("/home/yjr/PycharmProjects/FPN_TF/tools/inference_image/2.jpg") img_array = np.array(img_array, np.float32) - np.array(cfgs.PIXEL_MEAN) boxes = np.array( [[200, 200, 500, 500], [300, 300, 400, 400], [200, 200, 400, 400]] ) # test only draw boxes labes = np.ones(shape=[len(boxes), ], dtype=np.float32) * ONLY_DRAW_BOXES scores = np.zeros_like(labes) imm = draw_boxes_with_label_and_scores(img_array, boxes, labes ,scores) # imm = np.array(imm) cv2.imshow("te", imm) # test only draw scores labes = np.ones(shape=[len(boxes), ], dtype=np.float32) * ONLY_DRAW_BOXES_WITH_SCORES scores = np.random.rand((len(boxes))) * 10 imm2 = draw_boxes_with_label_and_scores(img_array, boxes, labes, scores) cv2.imshow("te2", imm2) # test draw label and scores labels = np.arange(1, 4) imm3 = draw_boxes_with_label_and_scores(img_array, boxes, labels, scores) cv2.imshow("te3", imm3) cv2.waitKey(0)