python项目加密和增加时间许可证

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1.bat，执行如下的命令，第一句是更新或增加许可证
第二句是加密draw_face.py

python offer.py
pyarmor obfuscate -O dist draw_face.py

绘制自制人脸.py，调用加密的代码draw_face代码

import sys
import os
import cv2# 添加加密模块所在的路径
sys.path.append('C:\\Users\\67099\PycharmProjects\pythonProject1\dist')try:import draw_face  # 导入加密后的模块
except ImportError:print("Failed to import draw_face module.")sys.exit(1)# 示例代码调用
image_path = "C:\\Demos\\face_detection1\\imghand\\frame_80.jpg"
input_str = """290 206 119 154 318.0 254.0 1 372.0 255.0 1 341.0 288.0 1 323.0 317.0 1 371.0 317.0 1 0.8"""resized_image = draw_face.process_image(image_path, input_str)
if resized_image is not None:# 显示缩小后的图像cv2.imshow("Bounding Box and Key Points", resized_image)cv2.waitKey(0)
else:cv2.destroyAllWindows()print("Failed to process the image.")

offer.py,新增许可证

#!/usr/bin/env python3
from Crypto.Cipher import AES
from binascii import b2a_hex# 定义加密函数
def encrypt(content):# 校验密钥是否为16或16的倍数while len(content) % 16:content += ' '# 把密钥编码为utf-8content = content.encode('utf-8')# cwillchris123321为加密密钥(必须16位)aes = AES.new(b'cwillchris123321', AES.MODE_CBC, b'cwillchris123321')# 对密钥进行aes加密encrypted_content = aes.encrypt(content)# 返回二进制数据的十六进制表示return b2a_hex(encrypted_content)# 生成许可证文件
def gen_license_file(username, expiry_date):license_file = './License.dat'# 设置用户名和脚本使用的有效期with open(license_file, 'w') as LF:# 写入用户名LF.write(f'Username : {username}\n')# 写入有效期LF.write(f'Date : {expiry_date}\n')# 生成签名，防止篡改sign = encrypt(f'{username}#{expiry_date}')# 将生成的签名进行utf-8编码后写入许可证文件LF.write(f'Sign : {sign.decode("utf-8")}\n')if __name__ == '__main__':# 示例调用，生成许可证文件gen_license_file('example_user', '20240624')

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draw_face.py，要加密的程序，注意要加密的程序上面增加下面这段话

from Crypto.Cipher import AES
from binascii import a2b_hex
import datetimedef decrypt(encrypted_content):encrypted_content = a2b_hex(encrypted_content)aes = AES.new(b'cwillchris123321', AES.MODE_CBC, b'cwillchris123321')decrypted_content = aes.decrypt(encrypted_content)return decrypted_content.decode('utf-8').strip()def verify_license_file():license_file = './License.dat'try:with open(license_file, 'r') as LF:lines = LF.readlines()username = lines[0].split(' : ')[1].strip()date = lines[1].split(' : ')[1].strip()sign = lines[2].split(' : ')[1].strip()expected_sign = decrypt(sign)if expected_sign == f'{username}#{date}':current_date = datetime.datetime.now().strftime('%Y%m%d')if current_date <= date:return Trueelse:print('License has expired.')else:print('License is invalid.')except Exception as e:print(f'Error verifying license: {e}')return Falseif not verify_license_file():raise SystemExit('Invalid or expired license. Please contact support.')

完整的代码如下所示

from Crypto.Cipher import AES
from binascii import a2b_hex
import datetimedef decrypt(encrypted_content):encrypted_content = a2b_hex(encrypted_content)aes = AES.new(b'cwillchris123321', AES.MODE_CBC, b'cwillchris123321')decrypted_content = aes.decrypt(encrypted_content)return decrypted_content.decode('utf-8').strip()def verify_license_file():license_file = './License.dat'try:with open(license_file, 'r') as LF:lines = LF.readlines()username = lines[0].split(' : ')[1].strip()date = lines[1].split(' : ')[1].strip()sign = lines[2].split(' : ')[1].strip()expected_sign = decrypt(sign)if expected_sign == f'{username}#{date}':current_date = datetime.datetime.now().strftime('%Y%m%d')if current_date <= date:return Trueelse:print('License has expired.')else:print('License is invalid.')except Exception as e:print(f'Error verifying license: {e}')return Falseif not verify_license_file():raise SystemExit('Invalid or expired license. Please contact support.')import cv2
import numpy as npdef process_image(image_path, input_str):# 读取图像image = cv2.imread(image_path)# 检查图像是否成功加载if image is None:print(f"Error: Unable to load image from {image_path}")return None# 将输入字符串按行分割lines = input_str.strip().split('\n')# 遍历每行for line in lines:# 将每行按空格分割，获取所有数字values = line.split()# 提取前4个数字，代表框的范围box = [int(values[i]) for i in range(4)]# 将浮点数列表分组成(x, y)坐标对，每组保留第1、2个数字，去掉第3个数字，直到第19个数字keypoints = [(float(values[i]), float(values[i + 1]), float(values[i + 2])) for i in range(4, 19, 3)]# 将坐标转换为整数keypoints = np.array(keypoints, dtype=np.int32)# 遍历关键点，使用不同颜色进行标记for point in keypoints:if point[2] == 1.0:cv2.circle(image, (point[0], point[1]), 5, (0, 0, 255), -1)  # 红色else:cv2.circle(image, (point[0], point[1]), 5, (0, 255, 0), -1)  # 绿色# 在图像上绘制边界框cv2.rectangle(image, (box[0], box[1]), (box[0] + box[2], box[1] + box[3]), (0, 0, 255), 2)# 等比例缩小图像scale_factor = 0.5  # 缩小50%width = int(image.shape[1] * scale_factor)height = int(image.shape[0] * scale_factor)dim = (width, height)resized_image = cv2.resize(image, dim, interpolation=cv2.INTER_AREA)return resized_image