pcb defect detetcion application
[ealt-edge.git] / example-apps / PDD / pcb-defect-detection / libs / box_utils / draw_box_in_img.py
diff --git a/example-apps/PDD/pcb-defect-detection/libs/box_utils/draw_box_in_img.py b/example-apps/PDD/pcb-defect-detection/libs/box_utils/draw_box_in_img.py
new file mode 100755 (executable)
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+# -*- 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)
+
+
+
+
+
+
+