You are thinking that, in order to motivate yourself into actually studying meaningfully at an accelerated pace, you should try recording yourself go through the motions of studying. You simply cannot resist coding up some Python scripts here and there...

You aim to accomplish this by:

  1. installing a program (for example AutoScreenshot) that automatically captures your whole computer's current screen at an interval of one minute;
  2. tweaking the program's settings so that the saved screenshot is a PNG with maximum lossless compression with a filename format of photo_%Y-%M-%D_%H-%N-%S to take advantage of ISO 8601's convenience in sorting;
  3. stitching these screenshots together into a timelapse video using a video editing software like DaVinci Resolve or kdenlive;
  4. Adding background music for the timelapse video which is this soundtrack from Sonic Generations in reference to this video of Takanashi Kiara's determination
  5. ???
  6. Profit!
  • You hope that this will motivate you to study more effectively.
  • You hope that this helps you maintain focus and momentum throughout the day.
  • You hope that this helps you maintain a sense of time and progress.
  • You hope that this helps you maintain a sense of purpose and direction.
  • You hope that this helps you maintain a sense of accomplishment and fulfillment.
  • You hope that this helps you maintain a sense of self-improvement and growth.
  • You hope that this helps you maintain a sense of discipline and consistency.
  • You hope that this helps you maintain a sense of motivation and inspiration.
  • You hope that this helps you maintain a sense of joy and happiness
  • You hope that this helps you maintain a sense of gratitude and appreciation.
  • You hope that this helps you maintain a sense of love and connection.
  • You hope that this helps you maintain a sense of courage and resilience.
  • You hope that this helps you maintain a sense of patience and perseverance.
Let's see how this goes.
# This is an attempt of the Python script to create a short timelapse video
# of the day's screenshots. There is no background music though.

import os
import re
from datetime import datetime

# pip install
import cv2  # opencv-python
import numpy as np  # numpy
from PIL import Image  # Pillow

# Directory containing the image files
image_dir = "path/to/images"

# Output video file name
output_file = f"path/to/images/{datetime.now().date().strftime('%Y-%m-%d')}.mp4"

# Set the number of frames per image
frames_per_image = 30

# Get the current date
current_date = datetime.now().date()

# Define the regular expression pattern to extract the timestamp from the filename
pattern = r"photo_(\d{4})-(\d{2})-(\d{2})_(\d{2})-(\d{2})-(\d{2})"

# Find all image files in the current directory
image_files = [
    f for f in os.listdir(image_dir) if f.endswith(".png") or f.endswith(".jpg")
]

# Sort the image files based on their timestamp
sorted_images = sorted(
    image_files, key=lambda x: [int(g) for g in re.search(pattern, x).groups()]
)

# Create a list of images and their corresponding timestamps
images_and_timestamps = []
for image_file in sorted_images:
    match = re.search(pattern, image_file)
    if match:
        year, month, day, hour, minute, second = [int(g) for g in match.groups()]
        timestamp = datetime(year, month, day, hour, minute, second)
        if timestamp.date() == current_date:
            image = Image.open(image_file)
            images_and_timestamps.append((image, timestamp))

# Calculate the total number of frames
total_frames = sum(frames_per_image for image, _ in images_and_timestamps)

# Create a video writer object
fourcc = cv2.VideoWriter_fourcc(*"mp4v")
fps = 30
width, height = images_and_timestamps[0][0].size
video_writer = cv2.VideoWriter(output_file, fourcc, fps, (width, height))

# Write the frames to the video
frame_count = 0
for image, timestamp in images_and_timestamps:
    for _ in range(frames_per_image):
        video_writer.write(cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR))
        frame_count += 1
        if frame_count >= total_frames:
            break

# Release the video writer
video_writer.release()