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Model builder (#29)

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Co-authored-by: Ayush Chaurasia <ayush.chuararsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Ayush Chaurasia 2022-10-19 02:44:23 +05:30 • committed by GitHub
parent c5cb76b356
commit 7b560f7861
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27 changed files with 2622 additions and 407 deletions
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9
ultralytics/yolo/data/augment.py
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@ -8,9 +8,12 @@ import numpy as np
import torch
import torchvision.transforms as T
from ..utils.general import LOGGER, check_version, colorstr, segment2box
from ..utils import LOGGER
from ..utils.checks import check_version
from ..utils.instance import Instances
from ..utils.loggers import colorstr
from ..utils.metrics import bbox_ioa
from ..utils.ops import segment2box
from .utils import IMAGENET_MEAN, IMAGENET_STD, polygons2masks, polygons2masks_overlap
@ -457,8 +460,8 @@ class LetterBox:
self.scaleup = scaleup
self.stride = stride
def __call__(self, labels):
img = labels["img"]
def __call__(self, labels={}, image=None):
img = image or labels["img"]
shape = img.shape[:2] # current shape [height, width]
new_shape = labels.get("rect_shape", self.new_shape)
if isinstance(new_shape, int):