def exhaustive_search(image_path, metadata_path, unit_ratio_list, overlap_ratio):
# Given an image and its annotation meta data, generate all possible windows with the target
p = parse_image_metadata(metadata_path, parseObject=False)
windowL = []
for ratio in unit_ratio_list:
window_builder(p=p, unit_ratio=ratio, overlap_ratio=overlap_ratio, winList=windowL)
return windowL
def batch_one_image_dataset(global_X_path, global_Y_path, img_window_path, img_vlad_path, img_metadata_path, target, overlap_threshold=0.5):
pic = parse_image_metadata(file_path=img_metadata_path, parseObject=True)
winL = de_serialize_window(input_path=img_window_path)
vladL = load_matrix(input_path=img_vlad_path).tolist()
dataset = get_data_set_X_Y(winL, vladL, pic, target, overlap_threshold)
X, Y = dataset[0], dataset[1]
append_file(dest_file=global_X_path, strInput=X)
append_file(dest_file=global_Y_path, strInput=Y)
def exhaustive_search(image_path, metadata_path, unit_ratio_list,
overlap_ratio):
# Given an image and its annotation meta data, generate all possible windows with the target
p = parse_image_metadata(metadata_path, parseObject=False)
windowL = []
for ratio in unit_ratio_list:
window_builder(p=p,
unit_ratio=ratio,
overlap_ratio=overlap_ratio,
winList=windowL)
return windowL
def batch_one_image_dataset(global_X_path,
global_Y_path,
img_window_path,
img_vlad_path,
img_metadata_path,
target,
overlap_threshold=0.5):
pic = parse_image_metadata(file_path=img_metadata_path, parseObject=True)
winL = de_serialize_window(input_path=img_window_path)
vladL = load_matrix(input_path=img_vlad_path).tolist()
dataset = get_data_set_X_Y(winL, vladL, pic, target, overlap_threshold)
X, Y = dataset[0], dataset[1]
append_file(dest_file=global_X_path, strInput=X)
append_file(dest_file=global_Y_path, strInput=Y)