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Simplify long objects generation process #28

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Simplify long objects generation process #28

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e435e0a
Minor fix in objects dimensions
nataliakoliou Jan 29, 2024
71e3575
Simplify long objects generation
nataliakoliou Jan 29, 2024
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34 changes: 15 additions & 19 deletions parallelogram/parallelogram.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,23 +49,21 @@ def make_object( x1, y1, max_dim=100 ):

def make_square( x1, y1, max_dim=100 ):
if max_dim<2: raise ValueError
lim = min( [max(x1,y1)+max_dim, 99] )
delta = random.randint( max(x1,y1)+1, lim )
lim = min( [max(x1,y1)+max_dim, 99-max(x1,y1)] )
delta = random.randint( 1, lim )
x2 = x1+delta
y2 = y1+delta
return ( x1, y1, x2, y2 )

def make_long( x1, y1, max_dim=100 ):
if max_dim<2: raise ValueError
# x1,y1 at the edge, impossible to fit long
if x1 == 98 and y1 == 98: raise ValueError
lim_x2 = min( [x1+max_dim,99] )
lim_y2 = min( [y1+max_dim,99] )
delta_x = random.randint( x1+1, lim_x2 )
delta_y = random.randint( y1+1, lim_y2 )
lim_x2 = min( [x1+max_dim,99-x1] )
lim_y2 = min( [y1+max_dim,99-y1] )
delta_x = random.randint( 1, lim_x2 )
delta_y = random.randint( 1, lim_y2 )
while delta_x == delta_y:
delta_x = random.randint( x1+1, lim_x2 )
delta_y = random.randint( y1+1, lim_y2 )
delta_x = random.randint( 1, lim_x2 )
delta_y = random.randint( 1, lim_y2 )
x2 = x1+delta_x
y2 = y1+delta_y
return ( x1, y1, x2, y2 )
Expand All @@ -92,17 +90,15 @@ def make_training_dataset( n ):

def make_production_dataset( n ):
data = []
for i in range(0,math.ceil(n/2)):
for i in range(0,math.ceil(n/2)): # half of the production dataset contains longs
x1 = random.randint( 0, 97 )
y1 = random.randint( 0, 97 )
try:
o = make_long( x1, y1, 72 )
except:
# x1,y1 at the edge,
# impossible to fit long
x1 = random.randint( 0, 90 )
y1 = random.randint( 0, 90 )
o = make_long( x1, y1 )
o = make_long( x1, y1, 72 )
data.append( o )
for i in range(0,math.ceil(n/2)):
x1 = random.randint( 0, 98 )
y1 = random.randint( 0, 98 )
o = make_square( x1, y1, 72 )
data.append( o )
for i in range(0,math.ceil(n/2)):
x1 = random.randint( 0, 98 )
Expand Down