STUG is a free skill based 2D multiplayer tank game with exaggerated shell ricochet physics. Battle other players in a full on tank war! STUG is one of the best tank games available online for free! Each match is an intense battle featuring multiple different tank types and abilities.
STUG is inspired by real tank combat with a twist on shell bouncing and ricochets. Destroy enemy tanks, research and unlock new weapons, work with your team, and fight your way to the top.
STUG is owned and developed by Bombsight Games. We can be contacted there or by emailing .
Feel free to contact us with ideas you may have!
# Convert to grayscale and apply OCR gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) text = pytesseract.image_to_string(gray)
Extracting hardsubs from a video and developing a feature to do so involves several steps, including understanding what hardsubs are, choosing the right tools or libraries for the task, and implementing the solution. Hardsubs, short for "hard subtitles," refer to subtitles that are burned into the video stream and cannot be turned off. They are part of the video image itself, unlike soft subtitles, which are stored separately and can be toggled on or off. extract hardsub from video
def extract_hardsubs(video_path): # Extract frames # For simplicity, let's assume we're extracting a single frame # In a real scenario, you'd loop through frames or use a more sophisticated method command = f"ffmpeg -i {video_path} -ss 00:00:05 -vframes 1 frame.png" subprocess.run(command, shell=True) # Convert to grayscale and apply OCR gray = cv2
pip install opencv-python pytesseract numpy including understanding what hardsubs are
return text
# Load frame frame = cv2.imread('frame.png')
