mirror of
https://github.com/ultralytics/yolov5.git
synced 2025-06-03 14:49:29 +08:00
update mosaic border
This commit is contained in:
parent
93a6765806
commit
37e13f8846
4
train.py
4
train.py
@ -207,6 +207,10 @@ def train(hyp):
|
|||||||
image_weights = labels_to_image_weights(dataset.labels, nc=nc, class_weights=w)
|
image_weights = labels_to_image_weights(dataset.labels, nc=nc, class_weights=w)
|
||||||
dataset.indices = random.choices(range(dataset.n), weights=image_weights, k=dataset.n) # rand weighted idx
|
dataset.indices = random.choices(range(dataset.n), weights=image_weights, k=dataset.n) # rand weighted idx
|
||||||
|
|
||||||
|
# Update mosaic border
|
||||||
|
# b = int(random.uniform(0.25 * imgsz, 0.75 * imgsz + gs) // gs * gs)
|
||||||
|
# dataset.mosaic_border = [b - imgsz, -b] # height, width borders
|
||||||
|
|
||||||
mloss = torch.zeros(4, device=device) # mean losses
|
mloss = torch.zeros(4, device=device) # mean losses
|
||||||
print(('\n' + '%10s' * 8) % ('Epoch', 'gpu_mem', 'GIoU', 'obj', 'cls', 'total', 'targets', 'img_size'))
|
print(('\n' + '%10s' * 8) % ('Epoch', 'gpu_mem', 'GIoU', 'obj', 'cls', 'total', 'targets', 'img_size'))
|
||||||
pbar = tqdm(enumerate(dataloader), total=nb) # progress bar
|
pbar = tqdm(enumerate(dataloader), total=nb) # progress bar
|
||||||
|
@ -307,7 +307,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
|
|||||||
self.image_weights = image_weights
|
self.image_weights = image_weights
|
||||||
self.rect = False if image_weights else rect
|
self.rect = False if image_weights else rect
|
||||||
self.mosaic = self.augment and not self.rect # load 4 images at a time into a mosaic (only during training)
|
self.mosaic = self.augment and not self.rect # load 4 images at a time into a mosaic (only during training)
|
||||||
self.mosaic_border = None
|
self.mosaic_border = [-img_size // 2, -img_size // 2]
|
||||||
self.stride = stride
|
self.stride = stride
|
||||||
|
|
||||||
|
|
||||||
@ -588,8 +588,7 @@ def load_mosaic(self, index):
|
|||||||
|
|
||||||
labels4 = []
|
labels4 = []
|
||||||
s = self.img_size
|
s = self.img_size
|
||||||
border = [-s // 2, -s // 2] # self.mosaic_border
|
yc, xc = [int(random.uniform(-x, 2 * s + x)) for x in self.mosaic_border] # mosaic center x, y
|
||||||
yc, xc = [int(random.uniform(-x, 2 * s + x)) for x in border] # mosaic center x, y
|
|
||||||
indices = [index] + [random.randint(0, len(self.labels) - 1) for _ in range(3)] # 3 additional image indices
|
indices = [index] + [random.randint(0, len(self.labels) - 1) for _ in range(3)] # 3 additional image indices
|
||||||
for i, index in enumerate(indices):
|
for i, index in enumerate(indices):
|
||||||
# Load image
|
# Load image
|
||||||
@ -637,7 +636,7 @@ def load_mosaic(self, index):
|
|||||||
translate=self.hyp['translate'],
|
translate=self.hyp['translate'],
|
||||||
scale=self.hyp['scale'],
|
scale=self.hyp['scale'],
|
||||||
shear=self.hyp['shear'],
|
shear=self.hyp['shear'],
|
||||||
border=border) # border to remove
|
border=self.mosaic_border) # border to remove
|
||||||
|
|
||||||
return img4, labels4
|
return img4, labels4
|
||||||
|
|
||||||
|
Loading…
x
Reference in New Issue
Block a user