in src/archive/inference/classifier/cntk_resnet18_tl/cntk_resnet18_tl.py [0:0]
def create_map_file_from_folder(root_folder, class_mapping, include_unknown=False, valid_extensions=['.jpg', '.jpeg', '.png']):
map_file_name = os.path.join(root_folder, "map.txt")
map_file = None
if python_version == 3:
map_file = open(map_file_name , 'w', encoding='utf-8')
else:
map_file = open(map_file_name , 'w')
for class_id in range(0, len(class_mapping)):
folder = os.path.join(root_folder, class_mapping[class_id])
if os.path.exists(folder):
for entry in os.listdir(folder):
filename = os.path.abspath(os.path.join(folder, entry))
if os.path.isfile(filename) and os.path.splitext(filename)[1].lower() in valid_extensions:
try:
map_file.write("{0}\t{1}\n".format(filename, class_id))
except UnicodeEncodeError:
continue
if include_unknown:
for entry in os.listdir(root_folder):
filename = os.path.abspath(os.path.join(root_folder, entry))
if os.path.isfile(filename) and os.path.splitext(filename)[1].lower() in valid_extensions:
try:
map_file.write("{0}\t-1\n".format(filename))
except UnicodeEncodeError:
continue
map_file.close()
return map_file_name