poly->compacted RLE:
seg=np.array([312.29, 562.89, 402.25, 511.49, 400.96, 425.38, 398.39, 372.69, 388.11, 332.85, 318.71, 325.14, 295.58, 305.86, 269.88, 314.86, 258.31, 337.99, 217.19, 321.29, 182.49, 343.13, 141.37, 348.27, 132.37, 358.55, 159.36, 377.83, 116.95, 421.53, 167.07, 499.92, 232.61, 560.32, 300.72, 571.89])
compactedRLE = maskutil.frPyObjects([seg], 768, 768)
print(compactedRLE)
compacted(compressed) RLE->mask:
mask = maskutil.decode(compactedRLE)
mask=np.reshape(mask,(768,768))
mask[:,:]=mask[:,:]*255
print(mask)
#mmcv.imshow(mask)
mask-> polygon / RLE:
def close_contour(contour):
if not np.array_equal(contour[0], contour[-1]):
contour = np.vstack((contour, contour[0]))
return contour
def binary_mask_to_polygon(binary_mask, tolerance=0):
“””Converts a binary mask to COCO polygon representation
Args:
binary_mask: a 2D binary numpy array where `1`s represent the object
tolerance: Maximum distance from original points of polygon to approximated
polygonal chain. If tolerance is 0, the original coordinate array is returned.
“””
polygons = []
# pad mask to close contours of shapes which start and end at an edge
padded_binary_mask = np.pad(binary_mask, pad_width=1, mode=`constant`, constant_values=0)
contours = measure.find_contours(padded_binary_mask, 0.5)
contours = np.subtract(contours, 1)
for contour in contours:
contour = close_contour(contour)
contour = measure.approximate_polygon(contour, tolerance)
if len(contour) < 3:
continue
contour = np.flip(contour, axis=1)
segmentation = contour.ravel().tolist()
# after padding and subtracting 1 we may get -0.5 points in our segmentation
segmentation = [0 if i < 0 else i for i in segmentation]
polygons.append(segmentation)
return polygons
def binary_mask_to_rle(binary_mask):
rle = {`counts`: [], `size`: list(binary_mask.shape)}
counts = rle.get(`counts`)
for i, (value, elements) in enumerate(groupby(binary_mask.ravel(order=`F`))):
if i == 0 and value == 1:
counts.append(0)
counts.append(len(list(elements)))
return rle
def main():
mask=np.array(
[
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 1, 0, 0, 1, 0],
[0, 0, 1, 1, 1, 1, 1, 0],
[0, 0, 1, 1, 1, 1, 1, 0],
[0, 0, 1, 1, 1, 1, 1, 0],
[0, 0, 1, 0, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 0]
]
)
print(mask)
poly=binary_mask_to_polygon(mask)
print(poly)
rle=binary_mask_to_rle(mask)
print(rle)