How to use copy_image method in localstack
Best Python code snippet using localstack_python
image_filters.py
Source:image_filters.py 
1234import Cimpl5import typing67Image = typing.NewType('Image', str)8Color = typing.Tuple[int, int, int]91011def _adjust_component(number: int) -> int:12 """Returns an integer based off of the quadrant the given number lays in.1314 >>> _adjust_component(230)15 22316 >>> _adjust_component(50)17 3118 >>> _adjust_component(191)19 1592021 Written by Kaitlyn Johnson 10106457222 """2324 if 0 <= number <= 63:25 return 3126 if 64 <= number <= 127:27 return 9528 if 128 <= number <= 191:29 return 15930 if 192 <= number <= 255:31 return 223323334def _choose_color(color_name: str) -> Color:35 """36 Returns the proper color tuple given a color name3738 Colour options include: black, white, red, blue, yellow, lime, cyan,39 magenta, gray4041 >>> _choose_color('black')42 (0, 0, 0)43 >>> _choose_color('white')44 (255, 255, 255)45 >>> _choose_color('lime')46 (0, 255, 0)4748 Written By Nikita Yovchev (101140798)49 """5051 if color_name == "black":52 return 0, 0, 05354 elif color_name == "white":55 return 255, 255, 2555657 elif color_name == "red":58 return 255, 0, 05960 elif color_name == "blue":61 return 0, 0, 2556263 elif color_name == "yellow":64 return 255, 255, 06566 elif color_name == "lime":67 return 0, 255, 06869 elif color_name == "cyan":70 return 0, 255, 2557172 elif color_name == "magenta":73 return 255, 0, 2557475 elif color_name == "gray":76 return 128, 128, 128777879def _grayscale(image: Image) -> Image:80 """Return a grayscale copy of image.8182 >>> image = Cimpl.load_image(Cimpl.choose_file())83 >>> gray_image = _grayscale(image)84 >>> Cimpl.show(gray_image)8586 Written by D. Bailey (Carleton University)87 """88 new_image = Cimpl.copy(image)8990 for x, y, (r, g, b) in image:91 # Use the pixel's brightness as the value of RGB components for the92 # shade of gray. These means that the pixel's original colour and the93 # corresponding gray shade will have approximately the same brightness.9495 brightness = (r + g + b) // 39697 # or, brightness = (r + g + b) / 398 # create_color will convert an argument of type float to an int99100 gray = Cimpl.create_color(brightness, brightness, brightness)101 Cimpl.set_color(new_image, x, y, gray)102103 return new_image104105106def blue_filter(picture: Image) -> Image:107 """108 Returns a copy of the given picture that is blue monochromatic.109 The blue value of each pixel determines the brightness of the blue110 in the filtered copy.111112 >>> image = Cimpl.load_image(Cimpl.choose_file())113 >>> blue_image = blue_filter(image)114 >>> Cimpl.show(blue_image)115116 Written by Nikita Yovchev (101140798) using Cimpl library made at117 Carleton University, D. Bailey et al.118 """119120 copy_image = Cimpl.copy(picture)121122 for x, y, (r, g, b) in copy_image:123 new_blue = Cimpl.create_color(0, 0, b)124 Cimpl.set_color(copy_image, x, y, new_blue)125126 return copy_image127128129def green_filter(image: Image) -> Image:130 """131 Returns a copy of the image chosen in green.132133 >>> image = Cimpl.load_image(Cimpl.choose_file())134 >>> Green_Image = green_filter(image)135 >>> Cimpl.show(Green_Image)136137 Written by Andrea Chan 101107608 from simple_Cimple_filters138 at Carleton University by D. Bailey139 """140141 new_image = Cimpl.copy(image)142143 for x, y, (r, g, b) in image:144 new_green = Cimpl.create_color(0, g, 0)145 Cimpl.set_color(new_image, x, y, new_green)146147 return new_image148149150def red_filter(image: Image) -> Image:151 """152 Returns a new_copy of a picture chosen in red.153154 >>> image = Cimpl.load_image(Cimpl.choose_file())155 >>> red_image = red_filter(image)156 >>> Cimpl.show(red_image)157158 Written by Kaitlyn Johnson 101064572 from simple_Cimpl_filters159 at Carleton University by D. Bailey160 """161162 new_image = Cimpl.copy(image)163164 for x, y, (r, g, b) in image:165 new_red = Cimpl.create_color(r, 0, 0)166 Cimpl.set_color(new_image, x, y, new_red)167168 return new_image169170171def combine(red_image: Image, green_image: Image, blue_image: Image) -> Image:172 """173 This functions takes the red, green and blue images and returns another174 image with the red, blue and green monochromatics combined.175176 >>> red_image= Cimpl.load_image(Cimpl.choose_file())177 >>> blue_image = Cimpl.load_image(Cimpl.choose_file())178 >>> green_image = Cimpl.load_image(Cimpl.choose_file())179 >>> combine_image = combine(red_image, green_image, blue_image)180 >>> Cimpl.show(combine_image)181182 Name: Junaid Ahmed Askari183 Lab: L2-1184 Instructor: Donald Bailey185186 """187188 red = Cimpl.copy(red_image)189 green = Cimpl.copy(green_image)190 blue = Cimpl.copy(blue_image)191 color_images = Cimpl.copy(green_image)192193 for x, y, (r, g, b) in color_images:194 red_color = Cimpl.get_color(red, x, y)195 green_color = Cimpl.get_color(green, x, y)196 blue_color = Cimpl.get_color(blue, x, y)197198 new_image_color = Cimpl.create_color(red_color[0], green_color[1], blue_color[2])199 Cimpl.set_color(color_images, x, y, new_image_color)200201 return color_images202203204def two_toned_filter(picture: Image, colour_1: str, colour_2: str) -> Image:205 """Returns a copy of the given picture that recolored in the two206 tones given: the first tone will be for the darker pixels and the207 second tone for the lighter pixels.208209 Colour options include: black, white, red, blue, yellow, lime, cyan,210 magenta, gray211212 >>> image = Cimpl.load_image( Cimpl.choose_file())213 >>> two_toned_image = two_toned_filter(image, 'red', 'blue')214 >>> Cimpl.show(two_toned_image)215216 Written by Nikita Yovchev (101140798) using Cimpl library made at217 Carleton University, D. Bailey et al.218 """219220 copy_image = Cimpl.copy(picture)221222 for x, y, (r, g, b) in copy_image:223 if ((r + g + b) // 3) <= 127:224 new_color = _choose_color(colour_1)225 Cimpl.set_color(copy_image, x, y, Cimpl.create_color(new_color[0], new_color[1], new_color[2]))226227 else:228 new_color = _choose_color(colour_2)229 Cimpl.set_color(copy_image, x, y, Cimpl.create_color(new_color[0], new_color[1], new_color[2]))230231 return copy_image232233234def three_toned_filter(picture: Image, colour_1: str, colour_2: str, colour_3: str) -> Image:235 """Returns a copy of the given picture that recolored in the three tones236 given: the first tone will be for the darkest pixels, the second tone for237 the medium brightness pixels, and the third for the lighter pixels.238239 Colour options include: black, white, red, blue, yellow, lime, cyan, magenta, gray240241 >>> image = Cimpl.load_image(Cimpl.choose_file())242 >>> three_toned_image = three_toned_filter(image, 'magenta', 'lime', 'cyan')243 >>> Cimpl.show(three_toned_image)244245 Written by Nikita Yovchev (101140798) using Cimpl library made at246 Carleton University, D. Bailey et al.247 """248249 copy_image = Cimpl.copy(picture)250251 for x, y, (r, g, b) in copy_image:252 if ((r + g + b) // 3) <= 84:253 new_color = _choose_color(colour_1)254 Cimpl.set_color(copy_image, x, y, Cimpl.create_color(new_color[0], new_color[1], new_color[2]))255256 elif 85 <= ((r + g + b) // 3) <= 170:257 new_color = _choose_color(colour_2)258 Cimpl.set_color(copy_image, x, y, Cimpl.create_color(new_color[0], new_color[1], new_color[2]))259260 else:261 new_color = _choose_color(colour_3)262 Cimpl.set_color(copy_image, x, y, Cimpl.create_color(new_color[0], new_color[1], new_color[2]))263 264 return copy_image265266267def extreme_contrast(image: Image) -> Image:268 """Returns a copy of an image in which the copy is an extreme contrasted269 version of the original image.270271 >>> image = Cimpl.load_image(Cimpl.choose_file())272 >>> contrast = extreme_contrast(image)273 >>> Cimpl.show(contrast)274275 Written by Andrea Chan 101107608276 """277278 contrast_image = Cimpl.copy(image)279 for x, y, (r, g, b) in contrast_image:280 r, g, b = Cimpl.get_color(contrast_image, x, y)281 if 0 <= r <= 127:282 contrast_red = 0283 elif 128 <= r <= 255:284 contrast_red = 255285 if 0 <= g <= 127:286 contrast_green = 0287 elif 128 <= g <= 255:288 contrast_green = 255289 if 0 <= b <= 127:290 contrast_blue = 0291 elif 128 <= b <= 255:292 contrast_blue = 255293294 new_image_color = Cimpl.create_color(contrast_red, contrast_green, contrast_blue)295 Cimpl.set_color(contrast_image, x, y, new_image_color)296297 return contrast_image298299300def sepia(new_image: Image) -> Image:301 """302 The function takes the gray image, created by the grayscale filter provided by the303 prof on CULEARN, and adds a sepia tint on it, which is a hint of yellow.304305 >>> image = Cimpl.load_image(Cimpl.choose_file())306 >>> sepia_image = sepia(image)307 >>> Cimpl.show(sepia_image)308309 written by: Junaid Ahmed Askari310 Student number: 101111448311 """312313 sepia_image = Cimpl.copy(_grayscale(new_image))314315 for x, y, (r, g, b) in new_image:316 darkness = Cimpl.get_color(sepia_image, x, y)317318 if sum(darkness) <= 189:319 new_color = Cimpl.create_color(darkness[0] * 1.1, darkness[1], darkness[2] * 0.9)320 Cimpl.set_color(sepia_image, x, y, new_color)321322 elif 189 <= sum(darkness) <= 573:323 new_color = Cimpl.create_color(darkness[0] * 1.15, darkness[1], darkness[2] * 0.85)324 Cimpl.set_color(sepia_image, x, y, new_color)325326 elif sum(darkness) >= 573:327 new_color = Cimpl.create_color(darkness[0] * 1.08, darkness[1], darkness[2] * 0.93)328 Cimpl.set_color(sepia_image, x, y, new_color)329330 return sepia_image331332333def posterizing(image: Image) -> Image:334 """Returns a copy of the Image that is posterized (simplified colors).335336 >>> image = Cimpl.load_image(Cimpl.choose_file())337 >>> post_image = posterizing(image)338 >>> Cimpl.show(post_image)339340 Written by Kaitlyn Johnson 101064572 from simple_Cimpl_filters at Carleton341 University by D. Bailey342 """343344 new_image = Cimpl.copy(image)345346 for x, y, (r, g, b) in image:347 adjusted_r = _adjust_component(r)348 adjusted_g = _adjust_component(g)349 adjusted_b = _adjust_component(b)350351 new_posterizing = Cimpl.create_color(adjusted_r, adjusted_g, adjusted_b)352 Cimpl.set_color(new_image, x, y, new_posterizing)353354 return new_image355356357def detect_edges(picture: Image, threshold: int) -> Image:358 """Returns a black and white copy of the image provided with a specific359 contrast threshold that is composed only of the edges (looks like a sketch).360361 >>> image = Cimpl.load_image(Cimpl.choose_file())362 >>> edge_image = detect_edges(image, 12)363 >>> Cimpl.show(edge_image)364365 Written by Nikita Yovchev (101140798) using Cimpl library made at366 Carleton University, D. Bailey et al.367 """368369 white = Cimpl.create_color(255, 255, 255)370 black = Cimpl.create_color(0, 0, 0)371 copy_image = Cimpl.copy(picture)372373 for x, y, (r, g, b) in copy_image:374 if y < (Cimpl.get_height(copy_image) - 1):375 pixel_colour_bot = Cimpl.get_color(copy_image, x, y + 1)376377 average_top = (r + b + g) // 3378 average_bot = (pixel_colour_bot[0] + pixel_colour_bot[1] + pixel_colour_bot[2]) // 3379380 if abs(average_bot - average_top) <= threshold:381 Cimpl.set_color(copy_image, x, y, white)382383 else:384 Cimpl.set_color(copy_image, x, y, black)385386 return copy_image387388389def detect_edges_better(picture: Image, thresh: int) -> Image:390 """Returns a new and improved edge-only copy of the picture with a given391 threshold. This edged image is better because it compares the contrast392 between more pixels than the previous edge function.393394 >>> image = Cimpl.load_image(Cimpl.choose_file())395 >>> edge_image = detect_edges_better(image, 12)396 >>> Cimpl.show(edge_image)397398 Written by Kaitlyn Johnson (101064572) and Nikita Yovchev (101140798)399 using Cimpl library made at Carleton University, D. Bailey et al.400 """401402 white = Cimpl.create_color(255, 255, 255)403 black = Cimpl.create_color(0, 0, 0)404 copy_image = Cimpl.copy(picture)405406 for x, y, (r, g, b) in copy_image:407 if y == (Cimpl.get_height(copy_image) - 1):408 if x != (Cimpl.get_width(copy_image) - 1):409 pixel_color_right = Cimpl.get_color(copy_image, x + 1, y)410 average_right = (pixel_color_right[0] + pixel_color_right[1] + pixel_color_right[2]) // 3411 average_current = (r + g + b) // 3412413 if abs(average_right - average_current) < thresh:414 Cimpl.set_color(copy_image, x, y, white)415416 else:417 Cimpl.set_color(copy_image, x, y, black)418419 elif x == (Cimpl.get_width(copy_image) - 1):420 if y != (Cimpl.get_height(copy_image) - 1):421 pixel_color_bot = Cimpl.get_color(copy_image, x, y + 1)422 average_bot = (pixel_color_bot[0] + pixel_color_bot[1] + pixel_color_bot[2]) // 3423 average_current = (r + g + b) // 3424425 if abs(average_bot - average_current) < thresh:426 Cimpl.set_color(copy_image, x, y, white)427428 else:429 Cimpl.set_color(copy_image, x, y, black)430431 elif x < (Cimpl.get_width(copy_image) - 1) and y < (Cimpl.get_height(copy_image) - 1):432 pixel_color_bot = Cimpl.get_color(copy_image, x, y + 1)433 pixel_color_right = Cimpl.get_color(copy_image, x + 1, y)434435 average_bot = (pixel_color_bot[0] + pixel_color_bot[1] + pixel_color_bot[2]) // 3436 average_right = (pixel_color_right[0] + pixel_color_right[1] + pixel_color_right[2]) // 3437 average_current = (r + g + b) // 3438439 if abs(average_bot - average_current) and abs(average_right - average_current) < thresh:440 Cimpl.set_color(copy_image, x, y, white)441442 else:443 Cimpl.set_color(copy_image, x, y, black)444445 return copy_image446447448def flip_vertical(image: Image) -> Image:449 """450 Returns a copy of the Image provided that is flipped along a vertical line in the center.451452 >>> choose_image = Cimpl.load_image(Cimpl.choose_file())453 >>> vertical_image = flip_vertical(choose_image)454 >>> Cimpl.show(vertical_image)455456 Written by: Junaid Ahmed Askari457 Student Number: 101111448458 """459460 vertically_flipped = Cimpl.copy(image)461 height_of_image = Cimpl.get_height(vertically_flipped)462 half_width = (Cimpl.get_width(vertically_flipped)) // 2463464 for y in range(0, height_of_image):465 for x in range(0, half_width):466 original_colour = Cimpl.get_color(vertically_flipped, x, y)467 opposite_colour = Cimpl.get_color(vertically_flipped, -x, y)468469 Cimpl.set_color(vertically_flipped, x, y, opposite_colour)470 Cimpl.set_color(vertically_flipped, -x, y, original_colour)471472 return vertically_flipped473474475def flip_horizontal(image: Image) -> Image:476 """Returns a copy of the image selected flipped along the middle of the horizon line477478 >>> image = Cimpl.load_image(Cimpl.choose_file())479 >>> horizontal_image = flip_horizontal(image)480 >>> Cimpl.show(horizontal_image)481482 Written by Andrea Chan 101107608 using Cimpl Library483 """484485 horizontal_image = Cimpl.copy(image)486 length = Cimpl.get_height(horizontal_image)487 width = Cimpl.get_width(horizontal_image)488489 for x in range(0, width):490 for y in range(0, length // 2):491 top_colour = Cimpl.get_color(horizontal_image, x, y)492 bottom_colour = Cimpl.get_color(horizontal_image, x, -y)493494 Cimpl.set_color(horizontal_image, x, y, bottom_colour)495 Cimpl.set_color(horizontal_image, x, -y, top_colour)496
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image_manipulator.py
Source:image_manipulator.py
1#!/usr/bin/env python22""" Manipulates images to be used in Video Recorder"""3import numpy as np4# from theia_msgs.msg import ZoneAlarm5#pylint: disable=import-error6import cv27def correct_image_size(image, target_width, target_height):8 """function correct the size of images"""9 if type(image) is not np.ndarray:10 print("Image is not of type {}".format(np.ndarray))11 return image12 copy_image = image.copy()13 if (copy_image.shape()[0], copy_image.shape()[1]) != (target_height, target_width):14 if check_aspect_ratios_equal(copy_image.shape, (target_width, target_height)):15 if copy_image.shape()[0] != target_height:16 copy_image = resize_image_mantain_aspect_ratio(copy_image, height=target_height)17 elif copy_image.shape()[1] != target_width:18 copy_image = resize_image_mantain_aspect_ratio(copy_image, width=target_width)19 else:20 if copy_image.shape()[1] > target_width:21 copy_image = crop_width(copy_image, target_width)22 elif copy_image.shape()[1] < target_width:23 copy_image = pad_width(copy_image, target_width)24 if copy_image.shape()[0] > target_height:25 copy_image = crop_height(copy_image, target_height)26 elif copy_image.shape()[0]< target_height:27 copy_image = pad_height(copy_image, target_height)28 return copy_image29def resize_image_mantain_aspect_ratio(image, width=None, height=None):30 """resize images of similar aspect ratios"""31 # initialize the dimensions of the image to be resized and grab the image size32 dim = None33 (h, w) = image.shape[:2]34 if width is None and height is None:35 return image36 # check to see if the width is None37 if width is None:38 # calculate the ratio of the height and construct the dimensions39 r = height / float(h)40 dim = (int(w * r), height)41 else:42 # calculate the ratio of the width and construct the dimensions43 r = width / float(w)44 dim = (width, int(h * r))45 #pylint: disable=c-extension-no-member46 resized = cv2.resize(image, dim, interpolation=cv2.INTER_AREA)47 return resized48def check_aspect_ratios_equal(shape1, shape2):49 """check the aspect ratio of an image"""50 return float("{0:.2f}".format(float(shape1[1])/float(shape1[0]))) == float("{0:.2f}".format(float(shape2[1])/float(shape2[0])))51def border_image(image, border_depth, color = [0, 0 , 0]):52 """ adds a border which changes color based on the level of violation"""53 color = color54 inside_border_depth = int(border_depth * .75)55 outside_border_depth = int(border_depth * .25)56 copy_image = image.copy()57 copy_image = cv2.copyMakeBorder(copy_image, inside_border_depth, inside_border_depth, inside_border_depth, inside_border_depth,58 cv2.BORDER_CONSTANT, value=color)59 copy_image = cv2.copyMakeBorder(copy_image, outside_border_depth, outside_border_depth, outside_border_depth, outside_border_depth,60 cv2.BORDER_CONSTANT, value=[0, 0, 0])61 return copy_image62def stitch_images(images, logo, no_image):63 """Stitches together the frames from all cameras"""64 # Take Orb images and make a tiled image65 # Make a huge grid video using all images from all orbs66 # ___________________67 # | | | |68 # | 1 | 2 | 3 |69 # |_____|_____|_____|70 # | | | |71 # | 4 | LOGO| 5 |72 # |_____|_____|_____|73 # | | | |74 # | 6 | 7 | 8 |75 # |_____|_____|_____|76 if len(images) < 8:77 #pylint: disable=unused-variable78 for i in range(len(images), 9):79 images.append(no_image)80 stitched_image = np.vstack((np.hstack((images[0], images[1], images[2])),81 np.hstack((images[3], logo, images[4])),82 np.hstack((images[5], images[6], images[7]))))83 return stitched_image84def add_text_to_image(image, text):85 '''Write the date and time on the image'''86 image = image.copy()87 org = (10, image.shape[0] - 10)88 #pylint: disable=c-extension-no-member89 font_face = cv2.FONT_HERSHEY_SIMPLEX90 font_scale = 191 color = (75, 25, 230) #RED92 thickness = 293 line_type = 2 #cv2.LINE_AA94 #pylint: disable=c-extension-no-member95 image = cv2.putText(image, text, org, font_face, font_scale, color, thickness, line_type)96 return image97def pad_width(image, target_width):98 '''pads the width of the image'''99 left = -(-(target_width - np.size(image, 1))//2) #ceiling division100 right = left101 if (target_width - np.size(image, 1))%2 != 0:102 right -= 1103 return np.pad(image, ((0, 0), (left, right), (0, 0)), 'constant', constant_values=(0, 0))104def pad_height(image, target_height):105 '''pads the height of the image'''106 top = -(-(target_height - np.size(image, 0))//2) #ceiling division107 bottom = top108 if (target_height - np.size(image, 0))%2 != 0:109 bottom -= 1110 return np.pad(image, ((top, bottom), (0, 0), (0, 0)), 'constant', constant_values=(0, 0))111def crop_width(image, target_width):112 '''crops the width of the image'''113 x = np.size(image, 1)114 start = x//2-(target_width//2)115 return image[0:np.size(image, 0), start:start+target_width]116def crop_height(image, target_height):117 '''crops the height of the image'''118 y = np.size(image, 0)119 start = y//2-(target_height//2)...
detecting_text.py
Source:detecting_text.py
1import cv22import numpy as np3def get_image():4 """5 Hà m nà y dùng Äá» Äá»c ảnh và thay Äá»i kÃch thÆ°á»c hiá»n thá» của6 :return:7 """8 img = cv2.imread('6.png')9 copy_image = np.copy(img)10 copy_image = cv2.resize(copy_image, (0, 0), fx=0.3, fy=0.3)11 # print(copy_image.shape)12 return copy_image13def processing_image(copy_image):14 """15 hà m nà y dùng Äá» xá» lý ảnh Äầu và o, bao gá»m Äá»c ảnh, thay Äá»i kÃch thÆ°á»c, phát hiá»n biên, giãn những dòng text trong16 :return: ảnh gá»c và ảnh có những dòng text bá» giãn ra17 """18 copy_img = cv2.cvtColor(copy_image, cv2.COLOR_BGR2GRAY)19 edge_img= cv2.Canny(copy_img,100, 200)20 kernel = np.ones((1,1), dtype=np.uint8)21 erosion = cv2.erode(edge_img, kernel, iterations=1)22 kernel = cv2.getStructuringElement(cv2.MORPH_CROSS,(3,3))23 dilation = cv2.dilate(erosion, kernel, iterations=2)24 # cv2.imshow('image', dilation)25 return dilation26def finding_contours(dilation):27 """28 tìm contours của ảnh29 :param dilation: ảnh mà có những dong text Äã giãn ra30 :return: contours31 """32 contours, hierarchy = cv2.findContours(dilation, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)33 return contours34def draw_tictoe(copy_image):35 """36 hà m nà y dùng Äá» vẽ ngẫu nhiên 20 dấu tic toe37 :param copy_image:38 :return: ảnh Äã vẽ tic toe39 """40 positions = [(np.random.randint(0, 600), np.random.randint(0, 850)) for i in range(20)]41 for pos in positions:42 cv2.drawMarker(copy_image, pos, (0, 0, 255), markerType=cv2.MARKER_TILTED_CROSS, markerSize=15,43 thickness=3, line_type=8)44 cv2.imshow('image', copy_image)45 return positions46def detecting_text(copy_image, contours):47 """48 Hà m nà y dùng Äá» phát hiá»n những Äoạn text và vẽ boudingbox cho nó49 :param dilation: ảnh mà bên trong có những dòng text bá» giãn50 :param copy_image: ảnh Äược copy từ ảnh gá»c51 :return:52 """53 for cnt in contours:54 area = cv2.contourArea(cnt)55 if area < 5000 and area > 100:56 x,y,w,h = cv2.boundingRect(cnt)57 x2, y2 = x+w, y+h58 cv2.rectangle(copy_image, (x,y), (x2, y2), (0,255,0), 3)59 cv2.imshow('image', copy_image)60def detecting_box(copy_image, contours):61 """62 Hà m nà y dùng Äá» phát hiá»n những ô trả lá»i lá»n và vẽ contours cho nó63 :param dilation: ảnh mà bên trong có những dòng text bá» giãn64 :param copy_image: ảnh Äược copy từ ảnh gá»c65 :return:66 """67 for cnt in contours:68 area = cv2.contourArea(cnt)69 if area > 15000:70 cv2.drawContours(copy_image, cnt, -1, (0, 0, 255), 5)71 cv2.imshow('image', copy_image)72def detect_tictoe(copy_image, contours, positions):73 """74 hà m nà y dùng Äá» vẽ contours lên các ô trả lá»i lá»n nếu các ô nà y chứa dấu tictioe75 :param copy_image: ảnh Äầu và o76 :param contours: các contour77 :param positions: vá» trà của các dấu tictoe78 :return:79 """80 for cnt in contours:81 area = cv2.contourArea(cnt)82 if area > 15000:83 retval = [cv2.pointPolygonTest(cnt, pos, measureDist= False) for pos in positions]84 for each in retval:85 if each > 0:86 cv2.drawContours(copy_image, cnt, -1, (0, 0, 255), 2)87 cv2.imshow('image', copy_image)88if __name__ == '__main__':89 copy_image = get_image()90 dilation = processing_image(copy_image)91 contours = finding_contours(dilation)92 # detecting_text(dilation, copy_image)93 # box = detecting_box(copy_image, contours)94 positions = draw_tictoe(copy_image)95 detect_tictoe(copy_image, contours, positions)96 cv2.waitKey()...
Automation Testing Tutorials
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