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import base64
import cv2
from typing import List
from io import BytesIO
import numpy as np
from PIL import Image
def encode_frame_to_base64(frame: cv2.Mat) -> str:
"""
Convert a cv2.Mat frame to a base64-encoded string.
"""
_, buffer = cv2.imencode('.jpg', frame)
encoded_string = base64.b64encode(buffer).decode('utf-8')
return encoded_string
def decode_base64_to_frame(encoded_string: str) -> cv2.Mat:
"""
Convert a base64-encoded string back to a cv2.Mat frame.
"""
decoded_data = base64.b64decode(encoded_string)
np_array = np.frombuffer(decoded_data, dtype=np.uint8)
return cv2.imdecode(np_array, cv2.IMREAD_COLOR)
def get_bytes(image_path: str) -> bytes:
with open(image_path, "rb") as f:
return f.read()
def get_text_file_contents(file_path):
"""
Reads a text file from the specified path and returns its content as a string.
Args:
file_path (str): The path to the text file.
Returns:
str: The content of the file, or None if an error occurred.
"""
try:
with open(file_path, 'r', encoding='utf-8') as file:
content = file.read()
print(content)
return content
except FileNotFoundError:
print(f"Error: File not found at path: {file_path}")
return None
except Exception as e:
print(f"An error occurred while reading the file: {e}")
return None
def clean_text(text: str) -> str:
return text.encode("ascii", errors="ignore").decode()
def get_base64(file_path: str) -> str:
with open(file_path, "r", encoding="utf-8") as f:
base64_data = f.read().strip()
return base64_data
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