def transform(n_images,
n_features,
n_components=0,
disable_pbar=False,
linear=False,
config_file=""):
opu = OPU(disable_pbar=disable_pbar,
open_at_init=False,
config_file=config_file)
if n_components != 0:
opu.n_components = n_components
ins = np.ones((n_images, n_features), dtype=np.uint8)
with opu:
print(opu.version())
begin = time.time()
opu.fit1d(ins)
if linear:
opu.linear_transform(ins)
else:
opu.transform(ins)
elapsed = time.time() - begin
print(
f"{n_images} transforms in {elapsed:.2f} s ({n_images / elapsed:.2f} Hz)"
)
def transform(n_images, n_features, n_components=0, disable_pbar=False):
opu = OPU(disable_pbar=disable_pbar, open_at_init=False)
if n_components != 0:
opu.n_components = n_components
ins = np.ones((n_images, n_features), dtype=np.uint8)
with opu:
print(opu.version())
begin = time.time()
opu.fit_transform1d(ins)
elapsed = time.time() - begin
print("{:d} transforms in {:.2f} s ({:.2f} Hz)".format(n_images,
elapsed, n_images / elapsed))