pixpick 0.1.1

Interactive coordinate picker for Computer Vision frameworks

pixpick 🎯

Interactive coordinate picker for Computer Vision — no external tools needed.

---

The problem

Every major CV framework needs coordinates before it can run.

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

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

The fix

import pixpick

region = pixpick.box("frame.jpg")      # drag a box on the image
zone   = pixpick.polygon("frame.jpg")  # click polygon vertices

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

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

# SAM1/SAM2:
predictor.predict(box=region.sam())

A window opens on your image. You interact. You get framework-ready coordinates back in Python. No round-trips.

---

Install

pip install pixpick

---

Selectors

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

Box controls — drag to draw · R to reset · Esc to cancel

Polygon controls — LMB add point · RMB undo · Z clear · Enter confirm · Esc cancel

---

Output formats

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

# ── Box ──────────────────────────────────────────────────────
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 – 1.0  ← YOLO label format
region.center            # (cx, cy)
region.area              # pixels²


# ── Polygon ───────────────────────────────────────────────────
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 – 1.0
zone.bbox                # → Box   tight bbox around the polygon
zone.npoints             # int

For more details, see Selectors.

Framework integration

Framework	Selector	Method
Ultralytics YOLOE — visual prompt	Box	region.yolo_prompt()
Ultralytics YOLO — region	Box	region.yolo_region()
SAM / SAM2 — box prompt	Box	region.sam()
Any other format	Box / Polygon	region.to_raw()

---

Persistence

Pick once, reuse forever.

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

Production pattern — 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

🚀 Getting Started	Installation, first selection, controls
🎯 Selectors	All properties and methods for Box and Polygon
🔌 Framework Integration	YOLO, SAM2 and more
💾 Persistence	Save, load, JSON schema
🏗️ Architecture	How it's built and how to extend it
🗺️ Roadmap	What's coming next

---

Contributing

We welcome contributions! Please open a GitHub issue or submit a pull request. For major changes, please open an issue first to discuss what you would like to change.