python识别验证码+灰度图片base64转换图片

一、为后面识别验证码准备

1、base64转换为图片，保存本地、并且置灰

在这里插入图片描述

上文中的base64,后面的就是包含Base64编码的PNG图像的字符串复制下来

import base64
from PIL import Image
import io

# 这里是你的Base64编码的字符串
base64_data = "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"

# 解码Base64数据为二进制
image_data = base64.b64decode(base64_data)

# 将二进制数据转换为图片
with Image.open(io.BytesIO(image_data)) as img:
	# img.show() image展示
	# 保存图片到本地
	img.save("decoded_image.png", "PNG")
	# 变成灰色图
	gray_img = img.convert('L')
    gray_img.show()

2、二值化图片

import base64

from PIL import Image
import io

# 这里是你的Base64编码的字符串
base64_data = "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"

# 解码Base64数据为二进制
image_data = base64.b64decode(base64_data)

# 将二进制数据转换为图片
with Image.open(io.BytesIO(image_data)) as im:
    img = im.convert('L')
    pixels = img.load()
    for x in range(img.width):
        for y in range(img.height):
            # 可以适当调大这个200
            if pixels[x, y] > 200:
                pixels[x, y] = 255
            else:
                pixels[x, y] = 0
    img.show()

3、图片转存内存中

import base64
from PIL import Image
import io
import ddddocr
# 这里是你的Base64编码的字符串
base64_data = "iVBORw0KGgoAAAANSUhEUgAAAG8AAAAkCAIAAAAIOPOYAAAJ1ElEQVR4Xu2Ze1DU1xXHnaRN2qZNG/ucdtrGmU6amU5n0rE2sc3Y2PhH2owa2ulk2oxmMlPZJCYxTNSWRiPiAzWJaKGpCgiiCIjEiKggjwWiJbyRRXmzLLjIG0FeK7Cn37P3x/399u6CW1zyF98549y9v3sv3s+ee865v11A8/KfFqgd87oHzdP0p+Zp+lPzNP2pmWg6ndTTQ3V1dPUqXbtGViv193Pn5y4n9VVT6wXqLKSRTvXh3Atb7uyk69fJYqGWFhofVwdITUuzoIC2bqXAQNXWr6dt2ygxkTo61Cn+1/gQVYTRyUfp8ALdkh6j8p001qcOngMNDdHZsxQc7EbgjTcoPp4dy1NeaE5OUlycClEu9M47Wvutt6itTZ3rT/VWUfJP3TgaLf671JapTvGrqqtp0yaVgLS336aaGnWKF5oZGdqEXbuoooLnYN2yMiospMFB/k7gmPBQDPjjJloQRov+Q6aLZL2lrnNPGmiiY99malFfoAITdfyXHLfYVbuKqSCQjtznevRFas9XJ/pJONevvsp7fP11OnmSAx3CXVUV08jKoqAgzbcUf1Jp3rpFb77JQz/8kCEqTo4vBEAzm2nta1pPvZXKbtKmXHoknPv9I+cknX6CeUV/idoucc9oN9lz6GaBdsDtZop9mAeA+O1W98l+0PAw7xS7w0EEhIQEzXuERUZSba02ICSEJib0iSrNCxe0LwThVkxQrKCCFu4nk0n7eOqUNjHPxkD946G1R7XjXB3BHyv3MVbRA3/Me4UcA+yVcFv0nHmSJh3qCi4NOYbqe+tL7aWXbZfzW/LzrHlmq1kxdNZ0qyf20iXeGvaI46j4k7CdOyk7W2vn5OgTVZoYhxGHDnEW8lyF/0YybZ4KBYGuL0rq72Y+8n5Q8uOMCclnclwna7S0ZeScoOJ/ah9LtqorEG0zb1tyZMniw4t9sYOfHTTO3bOHtxYRwbuTOw0NpaYmLnLER/isaGzZok9UaQqXvnyZYmL0hY4fp74+F0oTLYqkrCr9UYTLe4RKb9KP/q1/nKW6yzVGRcE0Pkzx31FRCquNYQ+N+Qq3ox+k4XZlGd9RwjC4a7hLzhXJJzeXI6PYJrD0uWKMpIlIKhNy19RUlaYYAZoIFhIZHB4FV6Arjjy4jyqv6Y+Mvjno4Kf3qqsfaLzsudSUokKU9smveXBmgPbR8i9lmadjngamhKqEzMbM9Lr0rKasnOYc4xnPbsqGLYtdJoBeab0i54rMkZrKEU9sMypKewTHEj3AKoMAUpaQSvPwYX4cHs65e8cOndprrrQDr4b3pZr1/uRkfa5/fDPrzxqgsV7K+asbwY+XcBlfsZvbSOvjI1QWqj3KXK0s89zx58AosijyqainPJ3R0z61fSrn7t+vb1CYoCljpeAjnyIpCak06+u1ESdOcGpDQZCWxpPF14Xjj8gYdFRfCF4sZYybA2N0tZPMNjrfSGkN9Ek9nalTDZ2oB1Sl/oLpIGhCp36mozz2LRpxXRhQh4qenkqqj9faiT9xX4VeTHnRE9kMVmIvkXMBQaZZSRN+I9o4oDipSL/yaefUBU2lCcnSHfU50hGyPE56cTHnJYeDs/aThjsSClIhY05/OZ3u28OlqC+22az/aZYoM1FjQnELuX30a/xv5VQQQf0kCKJmQqkk2kfu536DkFg8kc1g1n6rcbrZzNsPdKUKRE+kILHf994ju53a2/UggCArb9teaN65Q3v36ryMVlrKAw5MxQ5YYYmXevN+n1HCMNh+2/DnY77MdOriuB31gA5rVM8SWmdLGg00am3YaI8+gMgx4QhICvCk5tU2hDzTsGljb0aGc9LtK5HCARUoAae5md59VyeAQyzlhSYEHzxqOM7ScGmFEJ5lz6NbvdyFHvqAMYUXU9J1OmahUzWUWut2xlNq2B7erwG92KTPZXBA03ya27g+ClLnnjGMmKKJwh63I0mzfyoXuIQKyZPadBaet7cvK6vOZLr+0kuOdrU8gHA0A11uiMuPyRUERFKBhxrfV3inKWSzcXTYvZs2bNDc/vx57sdNS9KUJ92o70cwo+A8emCf6oleLb3RMDn264ym4SS3ZdxUKkrR2VOhn3pYh56UabYVUmdiomXlyglc+NwlCyOUnHLvQIkYaNRMNI1KSuL5uKJC8fF3ofnzaJXXzJbbYpic8GNGU+2qvC78XiNVM1WhCIlOJH2kdUnzRrZxyAwVUtL2V84mhk1XIdnCwtoOHDAuJSTeqOGqvn27tndjrS3kK82PPuL5+a6XDMY3TF5pIrF4IpvBaowR7+xvGE3RP7hduVcjJVxVaPIO98Q9wm0AlTRt6fqYe6iQRpubLatWGZcSEkkcATQ9Xdu7yaS+l/OVprhsCceOjb0LzbEJ+mWsikwx1PkLw7k+RQHg9gL6ygZGA6+Euko0UjKhQ/213CMiKWKlpIlq36BZV0iTDkf50qXGpYSw90BXpYmbj2mqfkI8NcpXmsLPy8u5fVeaUMcQ/TaBfhVHEaWUbeUcNTr9K2s3NSYxGlwZkWEQFpMe44+nn+CLuRBunOj5bDO32zJ1mkNub8dmXSGN2WxVK1calxJqbeX9ou5G8pDv0UValvKVprhx1tVx2xeasxcgHv0q07l+iD/WRGuwzv2O7+ZlO/g1Enui69WNuBfBEn7ovgpXSGs+XuNJzWhLo5cuj1v+fMLzKACcUyekPTrahszrIdROGzfqGxeWkuI2xleaolhF4UpzTRPK/xsDgleyPzrp0p90BxSGXC82n75C68n5i7oILk0jvevS1q09sza5OrnoRpF90A7E3H/xIoohdbRLY3Z75YoVY9P8qIAbpPHXHVxtlGrKV5pivqgcjDQrK9WRftCgVavhRSqfdLAPAi6K+ePfo9w12qEeaNJewsMaEtyXmEko0VFXohhS+sdu3KgOCOg67Sp1p5GxQgoKmm3cFPMRMnC/fP99fUWLRR3pH4kjfOybNHRDfaTJSeeWayhP/IAmxtTnMwolOoIjTvRIQwM+jlqt7VFRlc8+24WbyYwS2Vja+vV023CR85WmeIfkaZ6/NPlHOOMX/8Ckkh+nAd6wmxz9lLFKP/hNhhdZPgslOupKS0BA6eLFltWrQXa6A26UeOOZk6P9aqQQ8JWmqDc9zYf/wGyFyjxjJcPCAcfpxqkHNctBMr9MMQ/pKAs3qhPnUlu28K537dIJWK36U19pwp/FQkZDKB8dVUf6VU6yHKDYb+jsjIYbfVmoOmOOJX43kxYczLleyleaUHc3v98MCdHu7DBvhcQc6M4g1RyhzBfo5CL+uQ2uikb+On5z/LnL6eRfOEJDufAEykbjG4b/i+a87qp5mv7UPE1/ap6mP/U/Jy5/g8V/0ucAAAAASUVORK5CYII="

# 解码Base64数据为二进制
image_data = base64.b64decode(base64_data)

# 将二进制数据转换为图片
img = Image.open(io.BytesIO(image_data))
	# img.show() image展示
	# 变成灰色图
gray_img = img.convert('L')
# 讲图片存在内存中二进制
buffered = io.BytesIO()
gray_img.save(buffered, format="JPEG")  # 可以根据需要调整格式
gray_image_binary = buffered.getvalue()