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):
method_names = methodNames()
NO_32F = loadData(data_name, loader_func=loadRGBA)
fig = plt.figure(figsize=(10, 4))
fig.subplots_adjust(left=0.05, bottom=0.05, right=0.95, top=0.9, wspace=0.05, hspace=0.1)
font_size = 15
fig.suptitle("NPR-SFS", fontsize=font_size)
num_cols = len(method_names) + 1
fig.add_subplot(1, num_cols, 1)
plt.title("Ground truth", fontsize=font_size)
plt.imshow(NO_32F)
plt.axis('off')
col_id = 2
for method_name in method_names:
method_file = methodFile(method_name, data_name)
N_32F = loadRGBA(method_file)
fig.add_subplot(1, num_cols, col_id)
plt.title(method_name, fontsize=font_size)
plt.imshow(N_32F)
plt.axis('off')
col_id += 1
result_dir = resultDir(batch_name)
result_file = resultFile(result_dir, data_name)
plt.savefig(result_file)
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 batch_func(data_name):
method_names = methodNames()
NO_32F = loadData(data_name, loader_func=loadRGBA)
fig = plt.figure(figsize=(10, 4))
fig.subplots_adjust(left=0.05,
bottom=0.05,
right=0.95,
top=0.9,
wspace=0.05,
hspace=0.1)
font_size = 15
fig.suptitle("NPR-SFS", fontsize=font_size)
num_cols = len(method_names) + 1
fig.add_subplot(1, num_cols, 1)
plt.title("Ground truth", fontsize=font_size)
plt.imshow(NO_32F)
plt.axis('off')
col_id = 2
for method_name in method_names:
method_file = methodFile(method_name, data_name)
N_32F = loadRGBA(method_file)
fig.add_subplot(1, num_cols, col_id)
plt.title(method_name, fontsize=font_size)
plt.imshow(N_32F)
plt.axis('off')
col_id += 1
result_dir = resultDir(batch_name)
result_file = resultFile(result_dir, data_name)
plt.savefig(result_file)