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Allow "tiff" and more extensions in DetectionDataset.from_yolo function #1636

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Allow "tiff" and more extensions in DetectionDataset.from_yolo function #1636

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f4850b8
replace cv2 with PIL for speed
patel-zeel Oct 31, 2024
512edd0
Merge branch 'roboflow:develop' into feat/expand-image-formats
patel-zeel Nov 21, 2024
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13 changes: 9 additions & 4 deletions supervision/dataset/formats/yolo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,8 @@
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple

import cv2
import numpy as np
from PIL import Image

from supervision.config import ORIENTED_BOX_COORDINATES
from supervision.dataset.utils import approximate_mask_with_polygons
Expand Down Expand Up @@ -153,7 +153,7 @@ def load_yolo_annotations(
image_paths = [
str(path)
for path in list_files_with_extensions(
directory=images_directory_path, extensions=["jpg", "jpeg", "png"]
directory=images_directory_path, extensions=["*"]
)
]

Expand All @@ -167,10 +167,15 @@ def load_yolo_annotations(
annotations[image_path] = Detections.empty()
continue

image = cv2.imread(image_path)
# PIL is much faster than cv2 for checking image shape and mode: https://github.com/roboflow/supervision/issues/1554
image = Image.open(image_path)
lines = read_txt_file(file_path=annotation_path, skip_empty=True)
h, w, _ = image.shape
w, h = image.size
resolution_wh = (w, h)
if image.mode != "RGB":
raise ValueError(
f"Images must be 'RGB', but {image_path} is '{image.mode}'."
)

with_masks = _with_mask(lines=lines)
with_masks = force_masks if force_masks else with_masks
Expand Down