mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-11-05 12:00:15 +00:00
5cc73f6087
- feature: finetuning your own image models - feature: image prep command. crops to face or other interesting parts of photo - fix: back-compat for hf_hub_download - feature: add prune-ckpt command - feature: allow specification of model config file
104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
import logging
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
def square_roi_coordinate(roi, max_width, max_height, best_effort=False):
|
|
"""Given a region of interest, returns a square region of interest."""
|
|
x1, y1, x2, y2 = roi
|
|
x1, y1, x2, y2 = int(round(x1)), int(round(y1)), int(round(x2)), int(round(y2))
|
|
roi_width = x2 - x1
|
|
roi_height = y2 - y1
|
|
if roi_width < roi_height:
|
|
diff = roi_height - roi_width
|
|
x1 -= int(round(diff / 2))
|
|
x2 += roi_height - (x2 - x1)
|
|
elif roi_height < roi_width:
|
|
diff = roi_width - roi_height
|
|
y1 -= int(round(diff / 2))
|
|
y2 += roi_width - (y2 - y1)
|
|
|
|
x1, y1, x2, y2 = move_roi_into_bounds(
|
|
(x1, y1, x2, y2), max_width, max_height, force=best_effort
|
|
)
|
|
width = x2 - x1
|
|
height = y2 - y1
|
|
if not best_effort and width != height:
|
|
raise RuntimeError(f"ROI is not square: {width}x{height}")
|
|
return x1, y1, x2, y2
|
|
|
|
|
|
def resize_roi_coordinates(
|
|
roi, expansion_factor, max_width, max_height, expand_up=True
|
|
):
|
|
"""
|
|
Resize a region of interest while staying within the bounds.
|
|
|
|
setting expand_up to False will prevent the ROI from expanding upwards, which is useful when
|
|
expanding something like a face roi to capture more of the person instead of empty space above them.
|
|
|
|
"""
|
|
x1, y1, x2, y2 = roi
|
|
side_length_x = x2 - x1
|
|
side_length_y = y2 - y1
|
|
|
|
max_expansion_factor = min(max_height / side_length_y, max_width / side_length_x)
|
|
expansion_factor = min(expansion_factor, max_expansion_factor)
|
|
|
|
expansion_x = int(round(side_length_x * expansion_factor - side_length_x))
|
|
expansion_x_a = int(round(expansion_x / 2))
|
|
expansion_x_b = expansion_x - expansion_x_a
|
|
x1 -= expansion_x_a
|
|
x2 += expansion_x_b
|
|
|
|
expansion_y = int(round(side_length_y * expansion_factor - side_length_y))
|
|
if expand_up:
|
|
expansion_y_a = int(round(expansion_y / 2))
|
|
expansion_y_b = expansion_y - expansion_y_a
|
|
y1 -= expansion_y_a
|
|
y2 += expansion_y_b
|
|
else:
|
|
y2 += expansion_y
|
|
|
|
x1, y1, x2, y2 = move_roi_into_bounds((x1, y1, x2, y2), max_width, max_height)
|
|
|
|
return x1, y1, x2, y2
|
|
|
|
|
|
class RoiNotInBoundsError(ValueError):
|
|
"""Error raised when a ROI is not within the bounds of the image."""
|
|
|
|
|
|
def move_roi_into_bounds(roi, max_width, max_height, force=False):
|
|
"""Move a region of interest into the bounds of the image."""
|
|
x1, y1, x2, y2 = roi
|
|
|
|
# move the ROI within the image boundaries
|
|
if x1 < 0:
|
|
x2 -= x1
|
|
x1 = 0
|
|
if y1 < 0:
|
|
y2 -= y1
|
|
y1 = 0
|
|
if x2 > max_width:
|
|
x1 -= x2 - max_width
|
|
x2 = max_width
|
|
if y2 > max_height:
|
|
y1 -= y2 - max_height
|
|
y2 = max_height
|
|
x1, y1, x2, y2 = int(round(x1)), int(round(y1)), int(round(x2)), int(round(y2))
|
|
# Force ROI to fit within image boundaries (sacrificing size and aspect ratio of ROI)
|
|
if force:
|
|
x1 = max(0, x1)
|
|
y1 = max(0, y1)
|
|
x2 = min(max_width, x2)
|
|
y2 = min(max_height, y2)
|
|
if x1 < 0 or y1 < 0 or x2 > max_width or y2 > max_height:
|
|
roi_width = x2 - x1
|
|
roi_height = y2 - y1
|
|
raise RoiNotInBoundsError(
|
|
f"Not possible to fit ROI into boundaries: {roi_width}x{roi_height} won't fit inside {max_width}x{max_height}"
|
|
)
|
|
|
|
return x1, y1, x2, y2
|