# iterate over different patch_offsets
for patch_offset in HYPERPARAMETERS_OPTIONS["patch_offset"]:
hyperparameters["patch_offset"] = patch_offset
print "HYPERPARAMETER: patch_offset = " + str(patch_offset)
# generate patches
print "---------------------"
print "## generating patches from '" + IMG_NAME + "' (" + str(IMG_SIZE[0]) + "x" + str(
IMG_SIZE[1]
) + "; " + str(IMG_BBOX) + ")"
patch_generator.generate_patches(
IMG_BBOX,
IMG_SIZE,
patch_size=hyperparameters["patch_size"],
offset_steps=hyperparameters["patch_offset"],
target_folder=DATASET_DIR,
force_refresh=False,
data_folder=IMG_NAME,
)
print ""
# iterate over different codebook_sizes
dataset_split = 0
for codebook_size in HYPERPARAMETERS_OPTIONS["codebook_size"]:
hyperparameters["codebook_size"] = codebook_size
print "HYPERPARAMETER: codebook_size = " + str(codebook_size)
# undo dataset splitting
if dataset_split:
all_files = algo.get_imgfiles(TRAININGSET_DIR)
def get_imgfiles(path):
all_files = []
all_files.extend([join(path, basename(fname)).replace("\\","/")
for fname in glob(path + "/*")
if splitext(fname)[-1].lower() in EXTENSIONS])
return all_files
if __name__ == '__main__':
import patch_generator
patch_generator.generate_patches(BBOX, DOP_SIZE,
patch_size=PATCH_SIZE,
offset_steps=PATCH_OFFSET_STEPS,
target_folder=DATASETPATH,
data_folder='dop' + f,
force_refresh=False
)
try:
os.makedirs(TMP_DIR)
except:
None
algo.__clear_dir(TMP_DIR)
cats = [0,1]
ncats = len(cats)