python最稳定的图片识别库ddddocr

图片识别库ddddocr

import ddddocr

def recognize():
    ocr = ddddocr.DdddOcr()
    with open('temp.png', 'rb') as f:
        img_bytes = f.read()
    res = ocr.classification(img_bytes)
    print(res)

recognize()

python base64转图片

import base64
from PIL import Image
from io import BytesIO

def get_code():
    """
    base64格式转图片
    """
    # 看看image_base64类型是不是正确的“bytes”类型
    image_base64 = "iVBORw0KGgoAAAANSUhEUgAAAGIAAAAoCAIAAACKBLhTAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAI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\r\nRK5CYII=\r\n"
    print(type(image_base64))
    # 解码图片
    imgdata = base64.b64decode(image_base64)
    print(imgdata)
    # 将图片保存为文件
    with open("temp.png", 'wb') as f:
        f.write(imgdata)


def get_code2():
    """
    base64格式转图片
    """
    base64_str = "data:image/png;base64,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"

    head, context = base64_str.split(",")  # 将base64_str以“,”分割为两部分
    img_data = base64.b64decode(context)  # 解码时只要内容部分
    image = Image.open(BytesIO(img_data))
    # image.show()
    # 保存图像到本地文件
    image.save("temp2.png")


get_code()
get_code2()
recognize()


识别缺口图距离 轨迹生成

import ddddocr
import np
import cv2
import random
import requests


def generate_distance(slice_url, bg_url):
    """
    :param bg_url: 背景图地址
    :param slice_url: 滑块图地址
    :return: distance
    :rtype: Integer
    """
    slide = ddddocr.DdddOcr(det=False, ocr=False, show_ad=False)
    slice_image = requests.get(slice_url).content
    bg_image = requests.get(bg_url).content
    result = slide.slide_match(slice_image, bg_image, simple_target=True)
    return result['target'][0]


def generate_distance(slice_url, bg_url):
    """
    :param bg_url: 背景图地址
    :param slice_url: 滑块图地址
    :return: distance
    :rtype: Integer
    """
    slice_image = np.asarray(bytearray(requests.get(slice_url).content), dtype=np.uint8)
    slice_image = cv2.imdecode(slice_image, 1)
    slice_image = cv2.Canny(slice_image, 255, 255)

    bg_image = np.asarray(bytearray(requests.get(bg_url).content), dtype=np.uint8)
    bg_image = cv2.imdecode(bg_image, 1)
    bg_image = cv2.pyrMeanShiftFiltering(bg_image, 5, 50)
    bg_image = cv2.Canny(bg_image, 255, 255)

    result = cv2.matchTemplate(bg_image, slice_image, cv2.TM_CCOEFF_NORMED)

    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)

    return max_loc[0]


def generate_track(distance):
    def __ease_out_expo(step):
        return 1 if step == 1 else 1 - pow(2, -10 * step)

    tracks = [[random.randint(20, 60), random.randint(10, 40), 0]]
    count = 30 + int(distance / 2)
    _x, _y = 0, 0
    for item in range(count):
        x = round(__ease_out_expo(item / count) * distance)
        t = random.randint(10, 20)
        if x == _x:
            continue
        tracks.append([x - _x, _y, t])
        _x = x
    tracks.append([0, 0, random.randint(200, 300)])
    times = sum([track[2] for track in tracks])
    return tracks, times


if __name__ == '__main__':
    print(generate_track(distance=200))

posted @ 2023-04-10 16:11  hanfe1  阅读(330)  评论(0编辑  收藏  举报