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fixed the plot.py and dataloader.py files #2081

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fixed the plot.py and dataloader.py files #2081

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4 changes: 2 additions & 2 deletions seg/utils/dataloaders.py
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Original file line number Diff line number Diff line change
Expand Up @@ -485,7 +485,7 @@ def __init__(self,
self.im_files = list(cache.keys()) # update
self.label_files = img2label_paths(cache.keys()) # update
n = len(shapes) # number of images
bi = np.floor(np.arange(n) / batch_size).astype(np.int) # batch index
bi = np.floor(np.arange(n) / batch_size).astype(int) # batch index
nb = bi[-1] + 1 # number of batches
self.batch = bi # batch index of image
self.n = n
Expand Down Expand Up @@ -528,7 +528,7 @@ def __init__(self,
elif mini > 1:
shapes[i] = [1, 1 / mini]

self.batch_shapes = np.ceil(np.array(shapes) * img_size / stride + pad).astype(np.int) * stride
self.batch_shapes = np.ceil(np.array(shapes) * img_size / stride + pad).astype(int) * stride

# Cache images into RAM/disk for faster training (WARNING: large datasets may exceed system resources)
self.ims = [None] * n
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2 changes: 1 addition & 1 deletion seg/utils/segment/plots.py
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Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ def plot_images_and_masks(images, targets, masks, paths=None, fname='images.jpg'
if mh != h or mw != w:
mask = image_masks[j].astype(np.uint8)
mask = cv2.resize(mask, (w, h))
mask = mask.astype(np.bool)
mask = mask.astype(bool)
else:
mask = image_masks[j].astype(np.bool)
with contextlib.suppress(Exception):
Expand Down