Python captcha.image.ImageCaptcha() Examples
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code examples of captcha.image.ImageCaptcha().
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Example #1
Source File: captcha_generator.py From dynamic-training-with-apache-mxnet-on-aws with Apache License 2.0 | 6 votes |
def main(): parser = argparse.ArgumentParser() parser.add_argument("font_path", help="Path to ttf font file") parser.add_argument("output", help="Output filename including extension (e.g. 'sample.jpg')") parser.add_argument("--num", help="Up to 4 digit number [Default: random]") args = parser.parse_args() captcha = ImageCaptcha(fonts=[args.font_path]) captcha_str = args.num if args.num else DigitCaptcha.get_rand(3, 4) img = captcha.generate(captcha_str) img = np.fromstring(img.getvalue(), dtype='uint8') img = cv2.imdecode(img, cv2.IMREAD_GRAYSCALE) cv2.imwrite(args.output, img) print("Captcha image with digits {} written to {}".format([int(c) for c in captcha_str], args.output))
Example #2
Source File: GenCaptcha.py From CaptchaRecognition with MIT License | 6 votes |
def gen_captcha(charset,nb_chars=None,font=None): if not font is None: image = ImageCaptcha(fonts=[font]) buffer_index=1000 buffer_size=1000 nc_set = np.zeros(buffer_size) while True: if buffer_index==buffer_size: nc_set = np.random.randint(3, MAXLEN+1, buffer_size) if nb_chars is None else np.array([nb_chars] * buffer_size) buffer_index=0 captcha_text = ''.join(random_chars(charset,nc_set[buffer_index])) buffer_index+=1 img_text = ' '*np.random.randint(0,MAXLEN+1-len(captcha_text))*2+captcha_text #用空格模拟偏移 captcha = image.generate(img_text) captcha_image = Image.open(captcha).resize((TARGET_WIDTH,TARGET_HEIGHT),Image.ANTIALIAS) #image.write(captcha_text, captcha_text + '.jpg') # 写到文件 captcha_array = np.array(captcha_image) yield captcha_array,captcha_text
Example #3
Source File: captcha_generator.py From SNIPER-mxnet with Apache License 2.0 | 5 votes |
def main(): parser = argparse.ArgumentParser() parser.add_argument("font_path", help="Path to ttf font file") parser.add_argument("output", help="Output filename including extension (e.g. 'sample.jpg')") parser.add_argument("--num", help="Up to 4 digit number [Default: random]") args = parser.parse_args() captcha = ImageCaptcha(fonts=[args.font_path]) captcha_str = args.num if args.num else DigitCaptcha.get_rand(3, 4) img = captcha.generate(captcha_str) img = np.fromstring(img.getvalue(), dtype='uint8') img = cv2.imdecode(img, cv2.IMREAD_GRAYSCALE) cv2.imwrite(args.output, img) print("Captcha image with digits {} written to {}".format([int(c) for c in captcha_str], args.output))
Example #4
Source File: captcha_generator.py From dynamic-training-with-apache-mxnet-on-aws with Apache License 2.0 | 5 votes |
def __init__(self, h, w, font_paths): """ Parameters ---------- h: int Height of the generated images w: int Width of the generated images font_paths: list of str List of all fonts in ttf format """ self.captcha = ImageCaptcha(fonts=font_paths) self.h = h self.w = w
Example #5
Source File: captcha_generator.py From SNIPER-mxnet with Apache License 2.0 | 5 votes |
def __init__(self, h, w, font_paths): """ Parameters ---------- h: int Height of the generated images w: int Width of the generated images font_paths: list of str List of all fonts in ttf format """ self.captcha = ImageCaptcha(fonts=font_paths) self.h = h self.w = w
Example #6
Source File: captcha_gen_default.py From captcha_recognize with Apache License 2.0 | 5 votes |
def gen(gen_dir, total_size, chars_num): if not os.path.exists(gen_dir): os.makedirs(gen_dir) image = ImageCaptcha(width=IMAGE_WIDTH, height=IMAGE_HEIGHT,font_sizes=[40]) # must be subset of config.CHAR_SETS char_sets = 'ABCDEFGHIJKLMNPQRSTUVWXYZ' for i in xrange(total_size): label = ''.join(random.sample(char_sets, chars_num)) image.write(label, os.path.join(gen_dir, label+'_num'+str(i)+'.png'))
Example #7
Source File: test_image.py From captcha with BSD 3-Clause "New" or "Revised" License | 5 votes |
def test_image_generate(): captcha = ImageCaptcha() data = captcha.generate('1234') assert hasattr(data, 'read') captcha = WheezyCaptcha() data = captcha.generate('1234') assert hasattr(data, 'read')
Example #8
Source File: tf_GAN.py From deep_learning with MIT License | 5 votes |
def gen_captcha_text_image(c_set): """ # 生成字符对应的验证码 """ image = ImageCaptcha(width=120, height=60) captcha_text = random_captcha_text(char_set=c_set) captcha_text = ''.join(captcha_text) captcha = image.generate(captcha_text) captcha_image = Image.open(captcha) captcha_image = np.array(captcha_image) return captcha_text, captcha_image
Example #9
Source File: webserver_captcha_image.py From cnn_captcha with Apache License 2.0 | 5 votes |
def gen_special_img(): # 随机文字 text = "" for j in range(char_count): text += random.choice(characters) print(text) # 生成img文件 generator = ImageCaptcha(width=width, height=height) # 指定大小 img = generator.generate_image(text) # 生成图片 imgByteArr = io.BytesIO() img.save(imgByteArr, format='PNG') imgByteArr = imgByteArr.getvalue() return imgByteArr
Example #10
Source File: gen_sample_by_captcha.py From cnn_captcha with Apache License 2.0 | 5 votes |
def gen_special_img(text, file_path, width, height): # 生成img文件 generator = ImageCaptcha(width=width, height=height) # 指定大小 img = generator.generate_image(text) # 生成图片 img.save(file_path) # 保存图片
Example #11
Source File: evaluate.py From slim_cnn_test with Apache License 2.0 | 5 votes |
def generate_captcha(text='1'): capt = ImageCaptcha(width=28, height=28, font_sizes=[24]) image = capt.generate_image(text) image = np.array(image, dtype=np.uint8) return image
Example #12
Source File: generate_train_data.py From slim_cnn_test with Apache License 2.0 | 5 votes |
def generate_captcha(text='1'): capt = ImageCaptcha(width=28, height=28, font_sizes=[24]) image = capt.generate_image(text) image = np.array(image, dtype=np.uint8) return image
Example #13
Source File: captcha_test.py From PyRoyale with GNU General Public License v3.0 | 5 votes |
def create_image_captcha(captcha_text): image_captcha = ImageCaptcha() # Create the captcha image. image = image_captcha.generate_image(captcha_text) # Add noise curve for the image. # image_captcha.create_noise_curve(image, image.getcolors()) # Add noise dots for the image. # image_captcha.create_noise_dots(image, image.getcolors()) # Save the image to a png file. image_file = "./captcha_"+captcha_text + ".png" imgByteArr = BytesIO() image.save(imgByteArr, format='PNG') imgByteArr = imgByteArr.getvalue() open("test.png", "wb").write(imgByteArr) #image_captcha.write(captcha_text, image_file) print(image_file + " has been created.") # Create an audio captcha file.
Example #14
Source File: captcha_generator.py From training_results_v0.6 with Apache License 2.0 | 5 votes |
def main(): parser = argparse.ArgumentParser() parser.add_argument("font_path", help="Path to ttf font file") parser.add_argument("output", help="Output filename including extension (e.g. 'sample.jpg')") parser.add_argument("--num", help="Up to 4 digit number [Default: random]") args = parser.parse_args() captcha = ImageCaptcha(fonts=[args.font_path]) captcha_str = args.num if args.num else DigitCaptcha.get_rand(3, 4) img = captcha.generate(captcha_str) img = np.fromstring(img.getvalue(), dtype='uint8') img = cv2.imdecode(img, cv2.IMREAD_GRAYSCALE) cv2.imwrite(args.output, img) print("Captcha image with digits {} written to {}".format([int(c) for c in captcha_str], args.output))
Example #15
Source File: captcha_generator.py From training_results_v0.6 with Apache License 2.0 | 5 votes |
def __init__(self, h, w, font_paths): """ Parameters ---------- h: int Height of the generated images w: int Width of the generated images font_paths: list of str List of all fonts in ttf format """ self.captcha = ImageCaptcha(fonts=font_paths) self.h = h self.w = w
Example #16
Source File: dataset.py From attention-ocr with MIT License | 5 votes |
def __init__(self, img_width, img_height, ds_size, n_chars=4, chars=None): self.gen = ImageCaptcha(img_width, img_height) self.size = ds_size self.n_chars = n_chars if chars is None: self.chars = list('1234567890abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ') else: self.chars = list(chars) self.tokenizer = Tokenizer(self.chars) self.first_run = True
Example #17
Source File: evaluate.py From multi_task_test with Apache License 2.0 | 5 votes |
def generate_captcha(text='1'): capt = ImageCaptcha(width=28, height=28, font_sizes=[24]) image = capt.generate_image(text) image = np.array(image, dtype=np.uint8) return image
Example #18
Source File: generate_train_data.py From multi_task_test with Apache License 2.0 | 5 votes |
def generate_captcha(text='1'): capt = ImageCaptcha(width=28, height=28, font_sizes=[24]) image = capt.generate_image(text) image = np.array(image, dtype=np.uint8) return image
Example #19
Source File: serializers.py From desec-stack with MIT License | 5 votes |
def get_challenge(self, obj: models.Captcha): # TODO Does this need to be stored in the object instance, in case this method gets called twice? challenge = ImageCaptcha().generate(obj.content).getvalue() return b64encode(challenge)