def run_codegen(args, block_size, codegen_implementation):
''' Codegen to run codegen_implementation for different parameters '''
pe_dim = (2, 1)
args = {'mask_size':args['mask_size'], 'pe_dim':pe_dim}
code = Code()
code.set_generator(codegen_implementation, block_size, args)
# init analysers
opcodeFreq = analysis.OpcodeFreq()
communication = analysis.Communication()
analysers = [opcodeFreq, communication]
analysis.analyse_code(code, analysers)
return analysers
def run_codegen(cascade, block_size, codegen_implementation):
''' Codegen to run violajones for a set of parameters
This function runs the VJ codegen to analyse the code
for a certain set of parameters
'''
pe_dim = (2, 1)
args = {'haar_classifier':cascade, 'pe_dim':pe_dim}
code = Code()
code.set_generator(codegen_implementation, block_size, args)
# init analysers
opcodeFreq = analysis.OpcodeFreq()
communication = analysis.Communication()
analysers = [opcodeFreq, communication]
analysis.analyse_code(code, analysers)
return analysers
