Skip to main content

pixpick ๐ŸŽฏ

Interactive coordinate picker for Computer Vision โ€” no external tools needed.

PyPI version Downloads Python 3.8+ License: MIT Documentation

Project Overview

The problem

Every major CV framework needs coordinates before it can run.

regioncounter = RegionCounter(region=[120, 80, 640, 480])    # YOLO   โ€” where does this region come from?
predictor.predict(box=np.array([120, 80, 640, 480]))         # SAM2/SAM3   โ€” same problem

The standard workflow: open CVAT or Roboflow โ†’ grab coordinates โ†’ paste them back into code. Every. Single. Time.

The fix

import pixpick

region = pixpick.box("video.mp4", frame=10)  # drag a box on a specific video frame
zone   = pixpick.polygon("image.jpg")        # click polygon vertices

# coordinates are ready โ€” unpack directly into any framework
# YOLO:
regioncounter = RegionCounter(
     region=zone.yolo_region(),  # pass region points
     model="yolo26n.pt",
 )

# same for YOLOE
model.predict("image.jpg", visual_prompt= region.yolo_prompt())

# SAM/SAM2/SAM3:
predictor.predict(box=region.sam())

A window opens on your image, video, or a specific video frame. You interact. You get framework-ready coordinates back in Python. No round-trips.

pixpick.box() and pixpick.polygon() both accept a frame= argument when the source is a video file.


Install

pip install pixpick

Selectors

Selector How to use Returns
pixpick.box() Left-click + drag Box
pixpick.polygon() Click vertices โ†’ Enter to confirm Polygon

Box controls โ€” drag to draw ยท R to reset ยท Esc to cancel

Polygon controls โ€” LMB add point ยท RMB undo ยท Z clear ยท Enter confirm ยท Esc cancel


Output formats

Every selection object carries all the formats you'll ever need.

# โ”€โ”€ Box โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
region = pixpick.box("frame.jpg")

region.xyxy              # [x1, y1, x2, y2]            absolute pixels
region.xywh              # [x, y, w, h]                absolute pixels
region.norm_xywh         # [x, y, w, h]                0.0 โ€“ 1.0  โ† YOLO label format
region.center            # (cx, cy)
region.area              # pixelsยฒ


# โ”€โ”€ Polygon โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
zone = pixpick.polygon("frame.jpg")

zone.points              # [(x0,y0), (x1,y1), ...]     absolute pixels
zone.as_numpy            # np.array shape (N, 2)
zone.norm                # [(x0n,y0n), ...]             0.0 โ€“ 1.0
zone.bbox                # โ†’ Box   tight bbox around the polygon
zone.npoints             # int

For more details, see Selectors.


Framework integration

Framework Selector Method
Ultralytics YOLOE โ€” visual prompt Box region.yolo_prompt()
Ultralytics YOLO โ€” region Box/Polygon region.yolo_region()
SAM / SAM2 / SAM3 โ€” box prompt Box region.sam()
Any other format Box / Polygon region.raw()

Persistence

Pick once, reuse forever.

region.save("zone.json")
region = pixpick.load("zone.json")   # Box and Polygon both work

Production pattern โ€” pick interactively the first time, load on every subsequent run:

from pathlib import Path
import pixpick

ZONE = "config/count_zone.json"

zone = pixpick.load(ZONE) if Path(ZONE).exists() else pixpick.polygon("frame.jpg")
zone.save(ZONE)

Docs

๐Ÿš€ Getting Started Installation, first selection, controls
๐ŸŽฏ Selectors All properties and methods for Box and Polygon
๐Ÿ”Œ Framework Integration YOLO, SAM2/SAM3 and more
๐Ÿ’พ Persistence Save, load, JSON schema
๐Ÿ—๏ธ Architecture How it's built and how to extend it
๐Ÿ—บ๏ธ Roadmap What's coming next

Contributing

We welcome contributions! Please open a GitHub issue or submit a pull request. For more information, see CONTRIBUTING.md.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pixpick-0.1.5.tar.gz (18.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pixpick-0.1.5-py3-none-any.whl (19.7 kB view details)

Uploaded Python 3

File details

Details for the file pixpick-0.1.5.tar.gz.

File metadata

  • Download URL: pixpick-0.1.5.tar.gz
  • Upload date:
  • Size: 18.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.18

File hashes

Hashes for pixpick-0.1.5.tar.gz
Algorithm Hash digest
SHA256 7a66d7c0b23ae799b399fae70c690b649fbb415f12e1a0961fae4c7ee2c9f8b6
MD5 141b5ec903ba5744b60b24c602e18483
BLAKE2b-256 7d46666159722dfac8066445e45721e6fee0dce5aa4c672238a54da99b626beb

See more details on using hashes here.

File details

Details for the file pixpick-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: pixpick-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 19.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.18

File hashes

Hashes for pixpick-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 2f0af59f934213cb8e1d1a912973dfaaf9924a8b5ac357cda708eaab9ea4496e
MD5 605e0e28e17dd3657823ac9391f2a911
BLAKE2b-256 0bbd6a306343cd4960eaa4cec71b4f35d1548765cb55f417093920f2b8eab9db

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page