Computer Vision Design Patterns
Tecnology stack
- uv for python and project manager
- pre-commit with ruff to mantain code consistency and pre-commit checks
- GitHub Actions to create release and publish package (also on a private registry)
Installation
Note: You need uv (and uv only) installed on your machine.
To install the package:
uv sync
Usage
Events
TimeEvent
TimeEvent activates immediately when triggered and automatically deactivates after a specified duration.
from computer_vision_design_patterns.event import TimeEvent
import time
# Create an event that stays active for 2 seconds
event = TimeEvent(2)
# Trigger the event
event.trigger()
print(event.is_active()) # True
# After 2 seconds
time.sleep(2)
print(event.is_active()) # False
# Retriggering resets the timer
event.trigger()
print(event.is_active()) # True again
CountdownEvent
CountdownEvent starts inactive, counts down for a specified duration, and then activates.
from computer_vision_design_patterns.event import CountdownEvent
import time
# Create a countdown event for 3 seconds
event = CountdownEvent(3)
# Start the countdown
event.trigger()
print(event.is_active()) # False (still counting down)
# After 3 seconds
time.sleep(3)
print(event.is_active()) # True (countdown completed)
# Reset the event
event.reset()
print(event.is_active()) # False
Key Differences
-
TimeEvent:
- Activates immediately upon trigger and can be triggered multiple times
- Automatically deactivates after the duration has elapsed
- Can be reset by triggering again
-
CountdownEvent:
- Starts inactive
- Can be triggered multiple times
- Activates only after countdown completes
- Stays active until manually reset
Examples
Check the dev folder for comprehensive examples of both event types.
Counters
ManualCounter
ManualCounter is a simple counter that activates when it reaches a specified threshold value. It requires manual updates and can be reset to start counting again.
from computer_vision_design_patterns.counter import ManualCounter
import time
# Create a counter that activates after 3 counts
counter = ManualCounter(3)
# Update the counter
counter.update()
print(counter.is_active()) # False (count = 1)
counter.update()
print(counter.is_active()) # False (count = 2)
counter.update()
print(counter.is_active()) # True (count = 3)
# Reset the counter
counter.reset()
print(counter.is_active()) # False (count = 0)
Examples
Check the dev/ folder for comprehensive examples of counter usage.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for computer-vision-design-patterns 2.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| computer_vision_design_patterns-2.0.11-py3-none-any.whl | Python 3 | none | any | Details |
Release files / computer_vision_design_patterns-2.0.11-py3-none-any.whl
| Download URL | computer_vision_design_patterns-2.0.11-py3-none-any.whl |
|---|---|
| Size | 13.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9467b028501ebd4e9edb1769dfa4bf374e1c9d81b724d7c27b2f11b7cfbd8d0d
|
|
BLAKE2b-256 checksum How to use checksums |
92f4baea278839d71cf126ab2005c03727a1d352168a419564d5ee61be8f1f36
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 29, 2026.
Transparency logSecurity for computer-vision-design-patterns 2.0.11
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 1 file in this release has been uploaded with provenance metadata.
Attestation for computer_vision_design_patterns-2.0.11-py3-none-any.whl
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 29, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
