def batch_func(data_name):
A_8U = loadData(data_name)
N0_32F, N_32F = estimateNormal(A_8U)
result_dir = resultDir(batch_name)
N_file = resultFile(result_dir, data_name)
saveNormal(N_file, N_32F, A_8U)
def batch_func(data_name):
C_8U = loadData(data_name, loader_func=loadRGBA)
A_8U = alpha(C_8U)
I_32F = luminance(C_8U)
N_32F, D_32F = estimateNormal(I_32F)
result_dir = resultDir(batch_name)
N_file = resultFile(result_dir, data_name)
saveNormal(N_file, N_32F, A_8U)
def batch_func(data_name):
C_8U = loadData(data_name, loader_func=loadRGBA)
A_8U = alpha(C_8U)
I_32F = luminance(C_8U)
N_32F, D_32F = estimateNormal(I_32F)
result_dir = resultDir(batch_name)
N_file = resultFile(result_dir, data_name)
saveNormal(N_file, N_32F, A_8U)
def saveResult(input_file, A_8U, N_32F):
logger.info("saveResult")
N_file = input_file.replace(".png", "_N.png")
saveNormal(N_file, N_32F, A_8U)
def saveResult(input_file, A_8U, N_32F):
logger.info("saveResult")
N_file = input_file.replace(".png", "_N.png")
saveNormal(N_file, N_32F, A_8U)
