Python name_ext示例

示例#1

文件： test.py 项目： iszotic/CycleGAN-Tensorflow-2

def sample_B2A(B):
    B2A = G_B2A(B, training=False)
    B2A2B = G_A2B(B2A, training=False)
    return B2A, B2A2B


# run
save_dir = py.join(args.experiment_dir, 'samples_testing', 'A2B')
py.mkdir(save_dir)
i = 0
for A in A_dataset_test:
    A2B, A2B2A = sample_A2B(A)
    for A_i, A2B_i, A2B2A_i in zip(A, A2B, A2B2A):
        img = np.concatenate(
            [A_i.numpy(), A2B_i.numpy(),
             A2B2A_i.numpy()], axis=1)
        im.imwrite(img, py.join(save_dir, py.name_ext(A_img_paths_test[i])))
        i += 1

save_dir = py.join(args.experiment_dir, 'samples_testing', 'B2A')
py.mkdir(save_dir)
i = 0
for B in B_dataset_test:
    B2A, B2A2B = sample_B2A(B)
    for B_i, B2A_i, B2A2B_i in zip(B, B2A, B2A2B):
        img = np.concatenate(
            [B_i.numpy(), B2A_i.numpy(),
             B2A2B_i.numpy()], axis=1)
        im.imwrite(img, py.join(save_dir, py.name_ext(B_img_paths_test[i])))
        i += 1

示例#2

def sample_B2A(B):
    B2A = G_B2A(B, training=False)
    B2A2B = G_A2B(B2A, training=False)
    return B2A, B2A2B


# run
save_dir = py.join(args.experiment_dir, 'samples_testing', 'A2B')
py.mkdir(save_dir)
i = 0
for A in A_dataset_test:
    A2B, A2B2A = sample_A2B(A)
    for A_i, A2B_i, A2B2A_i in zip(A, A2B, A2B2A):
        img = np.concatenate(
            [A_i.numpy(), A2B_i.numpy(),
             A2B2A_i.numpy()], axis=1)
        im.imwrite(img, py.join(save_dir, py.name_ext(lve_imgpaths[i])))
        i += 1

save_dir = py.join(args.experiment_dir, 'samples_testing', 'B2A')
py.mkdir(save_dir)
i = 0
for B in B_dataset_test:
    B2A, B2A2B = sample_B2A(B)
    for B_i, B2A_i, B2A2B_i in zip(B, B2A, B2A2B):
        img = np.concatenate(
            [B_i.numpy(), B2A_i.numpy(),
             B2A2B_i.numpy()], axis=1)
        im.imwrite(img, py.join(save_dir, py.name_ext(lv_imgpaths[i])))
        i += 1

示例#3

文件： create_samples.py 项目： serre-lab/tripletcyclegan

#import pdb;pdb.set_trace()
# run
print('saving leaves')
save_dir = py.join(args.experiment_dir, 'samples_testing', 'Fossils2Leaves')
py.mkdir(save_dir)
i = 0
for A in A_dataset_test:
    A2B, A2B2A = sample_A2B(A)
    for A_i, A2B_i, A2B2A_i in zip(A, A2B, A2B2A):
        img = A2B_i.numpy(
        )  #np.concatenate([A_i.numpy(), A2B_i.numpy(), A2B2A_i.numpy()], axis=1)
        im.imwrite(
            img,
            py.join(
                save_dir, A_img_paths_test[i].split('/')[-2] + '-' +
                py.name_ext(A_img_paths_test[i])))
        i += 1
    print(i)
print('saving fossils')
save_dir = py.join(args.experiment_dir, 'samples_testing', 'Leaves2Fossils')
py.mkdir(save_dir)
i = 0
for B in B_dataset_test:
    B2A, B2A2B = sample_B2A(B)
    for B_i, B2A_i, B2A2B_i in zip(B, B2A, B2A2B):
        img = B2A_i.numpy(
        )  #np.concatenate([B_i.numpy(), B2A_i.numpy(), B2A2B_i.numpy()], axis=1)
        im.imwrite(
            img,
            py.join(
                save_dir, B_img_paths_test[i].split('/')[-2] + '-' +

示例#4

文件： test_gan.py 项目： mini-pw/2021L-WB-DL-1

def sample_A2B(A):
    A2B = G_A2B(A, training=False)
    A2B2A = G_B2A(A2B, training=False)
    return A2B, A2B2A


@tf.function
def sample_B2A(B):
    B2A = G_B2A(B, training=False)
    B2A2B = G_A2B(B2A, training=False)
    return B2A, B2A2B


save_dir = py.join(args.experiment_dir, 'generated_images', 'A2B')
py.mkdir(save_dir)
i = 0
for A in A_dataset_test:
    A2B, A2B2A = sample_A2B(A)
    for A_i, A2B_i, A2B2A_i in zip(A, A2B, A2B2A):
        im.imwrite(A2B_i.numpy(), py.join(save_dir, py.name_ext(A_img_paths_test[i])))
        i += 1

save_dir = py.join(args.experiment_dir, 'generated_images', 'B2A')
py.mkdir(save_dir)
i = 0
for B in B_dataset_test:
    B2A, B2A2B = sample_B2A(B)
    for B_i, B2A_i, B2A2B_i in zip(B, B2A, B2A2B):
        im.imwrite(B2A_i.numpy(), py.join(save_dir, py.name_ext(B_img_paths_test[i])))
        i += 1