def run_implementation(block_size, implementation, image_filename, filterbank_filename, res_filename_prefix):
''' Execution wrapper '''
from blip.simulator import interpreter
from blip.support import imageio
# first load the cascade
filterbank = Filterbank.load(filterbank_filename)
image = imageio.read(image_filename)
if not image: raise Exception('image %s not found or not supported'%image_filename)
im_size = len(image[0]), len(image)
pe_dim = [s//b for s,b in zip(im_size, block_size)]
args = {'filterbank':filterbank, 'pe_dim':pe_dim}
# now execute the codegen
code = Code()
code.set_generator(implementation, block_size, args)
sim = interpreter.Interpreter(code, image, block_size, 4)
sim.run()
result = sim.gen_output_image(1) # result is saved in first buffer
imageio.write(res_filename_prefix + '.png', result, 1)
def main(filtersfile, inputimage, outputimage): ''' Main entry function. ''' filterbank = Filterbank.load(filtersfile) filters = filterbank.filters inputimage = imageio.read(inputimage) output = calc_planarity(inputimage, filters) output = _scale_to_integer(output) imageio.write(outputimage, output, 1)
def _test_gen_calc_impl(codegen_impl):
from planarity.reference import calc_planarity
rows, cols = 32, 64
image = gen_random_image(rows, cols)
filterbank_filename = '../data/asym_16_3_opencv.xml'
filterbank = Filterbank.load(filterbank_filename)
test_res, _ = run_codegen_function(image, codegen_impl, block_size, {'filterbank':filterbank}, 1)
ref_res = calc_planarity(image, filterbank.filters)
assert ref_res == test_res
def default_argument_setup(filterbank_filename='data/asym_16_3_opencv.xml'):
filterbank = Filterbank.load(filterbank_filename)
return {'filterbank':filterbank}
