yuchen-xue

def extract_pdf(
    pdf_path: str | os.PathLike,
    img_dir: str | os.PathLike,
    text_output_path: str | os.PathLike,
    skip_first_image: bool = True,
) -> None:
    """
    Extracts text and images from a PDF file.
    This function extracts text from each page of the PDF and saves it to a text file.
    It also extracts images from each page and saves them in a specified directory.

yuchen-xue

import numpy as np
import numpy.typing as npt


def generate_sine_wave(time_steps: npt.NDArray, amp: float, freq: float) -> npt.NDArray:
    """Generate a sine wave signal with given amplitude and frequency.

    Args:
        time_steps (npt.NDArray): _Time steps in the form of an 1D array_
        amp (float): _Amplitude of the sine wave_

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    0.000000E+00        9.189000
    2.000000E-03        9.189000
    4.000000E-03        9.189000
    6.000000E-03        9.189000
    8.000000E-03        9.189000
    1.000000E-02        9.189000
    1.200000E-02        9.189000
    1.400000E-02        9.189000
    1.600000E-02        9.189000
    1.800000E-02        9.189000

yuchen-xue

import cv2
import numpy as np
import imageio.v3 as iio
from pygifsicle import optimize

im = iio.imread(
    'https://github.com/yuchen-xue/Spring-MySQL-TF-Detection/raw/master/asset/demo.gif', index=None)
stacked_frames = np.stack([
    cv2.resize(frame, (640, 360), interpolation=cv2.INTER_AREA) for frame in im
], axis=0)

yuchen-xue

import argparse
from pathlib import Path

import cv2
import numpy.typing as npt


def resize_white_fill(img: npt.NDArray, w_target: int, h_target: int) -> npt.NDArray:
    """Resize an image to a target width and height, while keeping the original
    height-width ratio. If the original height-width ratio is different from

yuchen-xue

import cv2
import numpy as np

WHITE = (255, 255, 255)


def dup_img_9(
    file_in: str, file_out: str, pad_horizontal: int = 10, pad_vertical: int = 10
):
    """

yuchen-xue

# /// script
# requires-python = ">=3.4"
# dependencies = [
#     "opencv-python",
# ]
# ///

from pathlib import Path
import cv2
import numpy as np

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##############################################################################
# Dockerfile for building an image with non-root privilege as default
# In addition, it's capable of displaying images created by
# `cv2.imshow()` and `plt.show()`

# In order to use the full functionality, one should 
#
# 1. Run the command `xhost +local:docker`
#
# 2. build an image by including

yuchen-xue

# ref:
# https://github.com/Valian/docker-python-opencv-ffmpeg/blob/master/Dockerfile-py3-cuda

ARG CUDA_VERSION="10.0"
ARG FLAVOR="runtime"
FROM nvidia/cuda:${CUDA_VERSION}-cudnn7-${FLAVOR}-ubuntu16.04
ARG OPENCV_VERSION="4.1.0"

# Install all dependencies for OpenCV
RUN apt-get -y update && \

yuchen-xue

import mymodule
print(mymodule.__doc__)
print(mymodule.f.__doc__)