bettercam 1.0.0

Creator: codyrutscher

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bettercam 1.0.0

📸 BetterCam 🚀



🌟 World's Fastest Python Screenshot Library for Windows 🐍

import bettercam
camera = bettercam.create()
camera.grab()

🌈 Introduction
BetterCam is the World's 🌏 Fastest Publicly available Python screenshot library for Windows, boasting 240Hz+ capturing using the Desktop Duplication API 🖥️💨. Born from DXCam, it shines in deep learning pipelines for FPS games, outpacing other Python solutions like python-mss and D3DShot.
BetterCam's superpowers include:

🚅 Insanely fast screen capturing (> 240Hz)
🎮 Capture from Direct3D exclusive full-screen apps without interruption, even during alt+tab.
🔧 Auto-adjusts to scaled / stretched resolutions.
🎯 Precise FPS targeting for Video output.
👌 Smooth NumPy, OpenCV, PyTorch integration, etc.


💞 Community contributions warmly invited!

🛠️ Installation
From PyPI:
pip install git+https://github.com/RootKit-Org/BetterCam

Note: 🧩 OpenCV is needed by BetterCam for color space conversion. Install it with pip install opencv-python if not yet available.
📚 Usage
Each monitor is paired with a BetterCam instance.
To get started:
import bettercam
camera = bettercam.create() # Primary monitor's BetterCam instance

📷 Screenshot
For a quick snap, call .grab:
frame = camera.grab()

frame is a numpy.ndarray in the (Height, Width, 3[RGB]) format by default. Note: .grab may return None if there's no update since the last .grab.
To display your screenshot:
from PIL import Image
Image.fromarray(frame).show()

For a specific region, provide the region parameter with a tuple for the bounding box coordinates:
left, top = (1920 - 640) // 2, (1080 - 640) // 2
right, bottom = left + 640, top + 640
region = (left, top, right, bottom)
frame = camera.grab(region=region) # A 640x640x3 numpy ndarray snapshot

📹 Screen Capture
Start and stop screen capture with .start and .stop:
camera.start(region=(left, top, right, bottom)) # Capture a region (optional)
camera.is_capturing # True
# ... Your Code
camera.stop()
camera.is_capturing # False

🔄 Retrieving Captured Data
When capturing, grab the latest frame with .get_latest_frame:
camera.start()
for i in range(1000):
image = camera.get_latest_frame() # Waits for a new frame
camera.stop()

⚙️ Advanced Usage & Notes
🖥️ Multiple Monitors / GPUs
cam1, cam2, cam3 = [bettercam.create(device_idx=d, output_idx=o) for d, o in [(0, 0), (0, 1), (1, 1)]]
img1, img2, img3 = [cam.grab() for cam in (cam1, cam2, cam3)]

To list devices and outputs:
>>> import bettercam
>>> bettercam.device_info()
>>> bettercam.output_info()

🎨 Output Format
Select your color mode when creating a BetterCam instance:
bettercam.create(output_idx=0, output_color="BGRA")

We support "RGB", "RGBA", "BGR", "BGRA", "GRAY" (for grayscale). Right now only numpy.ndarray shapes are supported: (Height, Width, Channels).
🔄 Video Buffer
Frames go into a fixed-size ring buffer. Customize its max length with max_buffer_len on creation:
camera = bettercam.create(max_buffer_len=512)

🎥 Target FPS
For precise FPS targeting, we use the high-resolution CREATE_WAITABLE_TIMER_HIGH_RESOLUTION:
camera.start(target_fps=120) # Ideally, not beyond 240Hz.

🔄 Video Mode
For constant framerate video recording, use video_mode=True during .start:
# Example: Record a 5-second, 120Hz video
camera.start(target_fps=target_fps, video_mode=True)
# ... Video writing code goes here

🛠️ Resource Management
Call .release to stop captures and free resources. Manual deletion also possible:
del camera

📊 Benchmarks
Max FPS Achievement:
cam = bettercam.create()
# ... Benchmarking code...





BetterCam Nvidia GPU :checkered_flag:
BetterCam :checkered_flag:
DXCam
python-mss
D3DShot




Avg FPS
111.667
123.667
39
34.667
N/A


Std Dev
0.889
1.778
1.333
2.222
N/A



FPS Targeting:
# ... Sample code to test target FPS ...




Target/Result
BetterCam Nvidia GPU :checkered_flag:
BetterCam :checkered_flag:
DXCam
python-mss
D3DShot




120fps
111.667, 0.889
88.333, 2.444
36.667, 0.889
N/A
N/A


60fps
60, 0
60, 0
35, 5.3
N/A
N/A



📝 Referenced Work

DXCam: Our origin story.
D3DShot: Provided foundational ctypes.
OBS Studio: A treasure trove of knowledge.

[^1]: Preemption (computing)
[^2]: Time.sleep precision improvement

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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