Hacktoberfest 2026: le issue che i maintainer hanno segnato per ottobre, aperte e adatte ai principianti. Sfoglia le issue Hacktoberfest

ImageDraw is not translation-invariant for negative coordinates (truncation toward zero instead of floor)

Aperta
#10,228 1 commento 0 reazioni 0 assegnatari Vedi su GitHub

I maintainer di solito rispondono entro 1 giorno

Nessuno ha ancora preso questa issue.

  • #10229 di @Eryx-Z — chiusa senza merge

Valutazione

Difficoltà
5/5
Tempo stimato
Più di una settimana
Idoneità per principianti
38/100
Tipo di issue
Bug
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
c, python

Direzione di ricerca

Start by reading the coordinate conversions in src/_imaging.c (_draw_polygon and _draw_lines) and the rounding macros and rasterization paths in src/libImaging/Draw.c (ROUND_UP, ROUND_DOWN, polygon_generic, and ImagingDrawWideLine). Then inspect the curve-joint path in Python’s ImageDraw.line and run the reproducer from the issue against each change. Done means shifted-and-cropped drawings match for the reported cases, including curve joints; the proposed fix is unbuilt and untested.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

What did you do?

I am honest and this was a long time of investigations. I have started with creating my own OSM tiles as a prototype project with the support of pillow. At the same time I have created a native swift implementation of the same maps. But while I compared the results, some pixel differences have been identified by my tools. Therefore this is the outcome of the investigation for you review. THANKS!

Here the created example:
Draw the same shape twice: once as given, once shifted right by an integer number of pixels, then cropped the second image back by the same amount. A translation-invariant rasterizer gives identical images.

from PIL import Image, ImageDraw

SHIFT = 10
W = H = 12

def draw(shape, dx):
    im = Image.new("L", (W + SHIFT, H), 0)
    d = ImageDraw.Draw(im)
    kind, pts, *rest = shape
    pts = [(x + dx, y) for x, y in pts]
    if kind == "polygon":
        d.polygon(pts, fill=255, outline=255)
    else:
        d.line(pts, fill=255, width=rest[0])
    return im.crop((dx, 0, dx + W, H))

SHAPES = {
    # a sliver lying entirely left of x = 0, i.e. outside the image
    "polygon x -0.9 .. -0.2": ("polygon", [(-0.9, 2), (-0.2, 2), (-0.2, 8), (-0.9, 8)]),
    # a box whose left edge is at x = -0.3
    "polygon x -0.3 .. 5.5": ("polygon", [(-0.3, 2), (5.5, 2), (5.5, 8), (-0.3, 8)]),
    # a vertical line, 1 px wide, centred at x = -0.6
    "line x = -0.6, width 1": ("line", [(-0.6, 2), (-0.6, 9)], 1),
    # a vertical line, 3 px wide, centred at x = -1.6
    "line x = -1.6, width 3": ("line", [(-1.6, 2), (-1.6, 9)], 3),
}

for name, shape in SHAPES.items():
    a, b = draw(shape, 0), draw(shape, SHIFT)
    pa, pb = a.tobytes(), b.tobytes()
    diff = sum(1 for u, v in zip(pa, pb) if u != v)
    cols = sorted({i % W for i, (u, v) in enumerate(zip(pa, pb)) if u != v})
    print(f"{name:26s} offset 0: {sum(1 for v in pa if v)} px set, "
          f"offset {SHIFT}: {sum(1 for v in pb if v)} px set, differ: {diff} (columns {cols})")
What did you expect to happen?

Identical images for every shape. In particular, shapes lying entirely left of x = 0 should not set any pixel.

What actually happened?
polygon x -0.9 .. -0.2     offset 0: 7 px set, offset 10: 0 px set, differ: 7 (columns [0])
polygon x -0.3 .. 5.5      offset 0: 42 px set, offset 10: 42 px set, differ: 0 (columns [])
line x = -0.6, width 1     offset 0: 8 px set, offset 10: 0 px set, differ: 8 (columns [0])
line x = -1.6, width 3     offset 0: 8 px set, offset 10: 0 px set, differ: 8 (columns [0])

Shapes entirely outside the image on the left (or top) leak into column 0 (or row 0). The 3 px wide line covers
x = -3.1 .. -0.1 and still sets column 0.

The same happens with integer coordinates, where the casts in _imaging.c change nothing, and then not only
in column 0:

from PIL import Image, ImageDraw

SHIFT = 64
W = H = 16


def draw(shape, dx):
    im = Image.new("L", (W + SHIFT, H), 0)
    d = ImageDraw.Draw(im)
    kind, pts, kw = shape
    pts = [(x + dx, y) for x, y in pts]
    if kind == "polygon":
        d.polygon(pts, fill=255)
    else:
        d.line(pts, fill=255, **kw)
    return im.crop((dx, 0, dx + W, H))


# integer coordinates only -- the int() casts in _imaging.c change nothing here
SHAPES = {
    "polygon, slanted edges": ("polygon", [(-4, 8), (-9, 13), (9, 2)], {}),
    "line, width 7": ("line", [(8, 7), (-3, 13)], {"width": 7}),
    "line, width 7, joint=curve": ("line", [(-4, 9), (0, 3), (-12, 4)],
                                   {"width": 7, "joint": "curve"}),
}

for name, shape in SHAPES.items():
    a, b = draw(shape, 0).tobytes(), draw(shape, SHIFT).tobytes()
    px = [(i % W, i // W) for i, (u, v) in enumerate(zip(a, b)) if u != v]
    print(f"{name:28s} differ: {len(px)} at (x, y) {px}")
polygon, slanted edges       differ: 1 at (x, y) [(2, 5)]
line, width 7                differ: 1 at (x, y) [(1, 7)]
line, width 7, joint=curve   differ: 3 at (x, y) [(1, 0), (2, 1), (2, 4)]

In a random test (shapes with integer vertices between -45 and 30, 6,000 per kind, 40 × 40 crop, drawn at offset 0 and 128) the differing pixels were: polygons 191, wide lines 249, wide lines with joint="curve" 2,758, lines of width 1 none. They reach more than 11 px into the image, further for curve joints. No difference occurred when all geometry, including half the line width, lay at non-negative coordinates.

Cause

src/_imaging.c converts coordinates with a plain C cast, which truncates toward zero: _draw_polygon
(ixy[i + i] = (int)xy[i + i];) and _draw_lines ((int)p[0] ... (int)p[3]). For x >= 0 this equals
floor(x); for x < 0 it rounds up, so -0.9 becomes 0 instead of -1. ROUND_UP and ROUND_DOWN in
src/libImaging/Draw.c are likewise symmetric about zero (-floor(fabs(f) + 0.5F) for negative f).

Passing math.floor-ed coordinates to the same calls makes the four cases of the first example identical, but not those of the second: they already have integer coordinates. There, the symmetric rounding in ROUND_UP/ROUND_DOWN is the cause -- in polygon_generic (edge intersections per scanline) and in ImagingDrawWideLine (edge offsets of a wide line). The joint="curve" path in ImageDraw.line (Python) adds pie slices around each joint and shows the largest effect; we have not traced it further.

Why it matters

Anyone who renders a large image in tiles (map tiles, mosaics) gets seams: along the left and top edge of every tile, geometry coming in from outside is drawn differently than in one large image. Our application renders OpenStreetMap land-use classes in 1024 × 1024 tiles at zoom 15. Our renderer already floors all coordinates before calling ImageDraw, so what remains comes from the rounding in ROUND_UP/ROUND_DOWN and from curve joints. It affected 1,606 pixels in 840 of 2,460 tiles when each tile was drawn as is and again with a 16 px margin on the left and top (i.e. shifted, then cropped). They disagree on 443 building pixels. Judged by whether the pixel centre lies inside an OSM building, the shifted rendering is right at 407 of them and the plain tiled rendering at 36. A margin only helps for geometry that ends within it; ours reaches much further out.

Possible fix

Both parts are needed: use floor instead of the C cast when converting coordinates in _draw_polygon and _draw_lines (first example), and make ROUND_UP/ROUND_DOWN use floor(f + 0.5) / ceil(f - 0.5) for all f (second example). The curve joints in ImageDraw.line would need the same check. This changes output only where coordinates are negative, i.e. for geometry extending beyond the image on the left or top. We have not built Pillow with these changes, so whether they remove every difference in the second example is untested.

What are your OS, Python and Pillow versions?
  • OS: macOS 27.0.1 (arm64)
  • Python: 3.12.13
  • Pillow: 12.3.0 (also checked against main at fef1035, source only)
Lingua principale
Python
Stelle
13.9k
Fork
2.5k
Merge medio
1g 2h
PR unite (30g)
143

Preparare l'ambiente

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di python-pillow/Pillow

Tutte le issue di python-pillow/Pillow

Issue simili

Altre issue su Python

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.