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Increase block size from 224 to 256 in eval method to make consistent with documentation #1330

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Merged
mrariden merged 1 commit into from
Sep 26, 2025
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Increase block size from 224 to 256 in eval method to make consistent with documentation #1330

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6 changes: 3 additions & 3 deletions cellpose/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,7 +83,7 @@ class CellposeModel():
__init__(self, gpu=False, pretrained_model=False, model_type=None, diam_mean=30., device=None):
Initialize the CellposeModel.

eval(self, x, batch_size=8, resample=True, channels=None, channel_axis=None, z_axis=None, normalize=True, invert=False, rescale=None, diameter=None, flow_threshold=0.4, cellprob_threshold=0.0, do_3D=False, anisotropy=None, stitch_threshold=0.0, min_size=15, niter=None, augment=False, tile_overlap=0.1, bsize=224, interp=True, compute_masks=True, progress=None):
eval(self, x, batch_size=8, resample=True, channels=None, channel_axis=None, z_axis=None, normalize=True, invert=False, rescale=None, diameter=None, flow_threshold=0.4, cellprob_threshold=0.0, do_3D=False, anisotropy=None, stitch_threshold=0.0, min_size=15, niter=None, augment=False, tile_overlap=0.1, bsize=256, interp=True, compute_masks=True, progress=None):
Segment list of images x, or 4D array - Z x C x Y x X.

"""
Expand Down Expand Up @@ -196,7 +196,7 @@ def eval(self, x, batch_size=8, resample=True, channels=None, channel_axis=None,
niter (int, optional): number of iterations for dynamics computation. if None, it is set proportional to the diameter. Defaults to None.
augment (bool, optional): tiles image with overlapping tiles and flips overlapped regions to augment. Defaults to False.
tile_overlap (float, optional): fraction of overlap of tiles when computing flows. Defaults to 0.1.
bsize (int, optional): block size for tiles, recommended to keep at 224, like in training. Defaults to 224.
bsize (int, optional): block size for tiles, recommended to keep at 256, like in training. Defaults to 256.
interp (bool, optional): interpolate during 2D dynamics (not available in 3D) . Defaults to True.
compute_masks (bool, optional): Whether or not to compute dynamics and return masks. Returns empty array if False. Defaults to True.
progress (QProgressBar, optional): pyqt progress bar. Defaults to None.
Expand Down Expand Up @@ -453,7 +453,7 @@ def _resize_gradients(self, grads: np.ndarray, to_y_size: int, to_x_size: int, t
def _run_net(self, x,
augment=False,
batch_size=8, tile_overlap=0.1,
bsize=224, anisotropy=1.0, do_3D=False):
bsize=256, anisotropy=1.0, do_3D=False):
""" run network on image x """
tic = time.time()
shape = x.shape
Expand Down
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