def get(self, id):
dataset_json = io.load_topviewkinect_dataset(id)
labels_df = io.load_topviewkinect_labels(id)
labels_series = labels_df.loc[:, "activity"]
orientations_series = labels_df.loc[:, "orientation"]
orientations_status_series = labels_df.loc[:, "orientation_accurate"]
num_frames = len(labels_series.index)
num_pages = int(math.ceil(num_frames / FRAME_PAGINATION_SIZE))
frame_labels = labels_series[:FRAME_PAGINATION_SIZE]
frame_labels_dict = frame_labels.to_dict()
frame_orientations = orientations_series[:FRAME_PAGINATION_SIZE]
frame_orientations_dict = frame_orientations.to_dict()
frame_orientations_status = orientations_status_series[:
FRAME_PAGINATION_SIZE]
frame_orientations_status_dict = frame_orientations_status.to_dict()
self.render(
"dataset.html",
dataset=dataset_json,
page_size=FRAME_PAGINATION_SIZE,
num_pages=num_pages,
page_num=1,
frame_labels_dict=frame_labels_dict,
frame_orientations_dict=frame_orientations_dict,
frame_orientations_status_dict=frame_orientations_status_dict)
def get(self, id):
dataset_json = io.load_topviewkinect_dataset(id)
labels_df = io.load_topviewkinect_labels(id)
labels_series = labels_df.loc[:, "activity"]
orientations_series = labels_df.loc[:, "orientation"]
orientations_status_series = labels_df.loc[:, "orientation_accurate"]
num_frames = len(labels_series.index)
num_pages = int(math.ceil(num_frames / FRAME_PAGINATION_SIZE))
frame_labels = labels_series[:FRAME_PAGINATION_SIZE]
frame_labels_dict = frame_labels.to_dict()
frame_orientations = orientations_series[:FRAME_PAGINATION_SIZE]
frame_orientations_dict = frame_orientations.to_dict()
frame_orientations_status = orientations_status_series[:FRAME_PAGINATION_SIZE]
frame_orientations_status_dict = frame_orientations_status.to_dict()
self.render("dataset.html",
dataset=dataset_json, page_size=FRAME_PAGINATION_SIZE,
num_pages=num_pages, page_num=1,
frame_labels_dict=frame_labels_dict,
frame_orientations_dict=frame_orientations_dict,
frame_orientations_status_dict=frame_orientations_status_dict)
def get(self, id, size, page):
labels_df = io.load_topviewkinect_labels(id)
activities = labels_df.loc[:, "activity"]
orientations = labels_df.loc[:, "orientation"]
orientations_status = labels_df.loc[:, "orientation_accurate"]
page_size = int(size)
page_num = int(page)
frame_ids_from = (page_num - 1) * page_size
frame_ids_to = page_num * page_size
frame_labels_dict = activities[frame_ids_from:frame_ids_to].to_dict()
orientations_dict = orientations[frame_ids_from:frame_ids_to].to_dict()
orientations_status_dict = orientations_status[
frame_ids_from:frame_ids_to].to_dict()
# Dictionaries must be strings to be json encoded
frame_labels_dict = dict(
zip(list(map(str, frame_labels_dict.keys())),
list(map(str, frame_labels_dict.values()))))
frame_orientations_dict = dict(
zip(list(map(str, orientations_dict.keys())),
list(map(str, orientations_dict.values()))))
frame_orientations_status_dict = dict(
zip(list(map(str, orientations_status_dict.keys())),
list(map(str, orientations_status_dict.values()))))
# Note: Handle duplicate elements in list when there are multiple skeletons
self.finish(
tornado.escape.json_encode({
"frame_labels_dict":
frame_labels_dict,
"frame_orientations_dict":
frame_orientations_dict,
"frame_orientations_status_dict":
frame_orientations_status_dict
}))
def get(self, id, size, page):
labels_df = io.load_topviewkinect_labels(id)
activities = labels_df.loc[:, "activity"]
orientations = labels_df.loc[:, "orientation"]
orientations_status = labels_df.loc[:, "orientation_accurate"]
page_size = int(size)
page_num = int(page)
frame_ids_from = (page_num - 1) * page_size
frame_ids_to = page_num * page_size
frame_labels_dict = activities[frame_ids_from:frame_ids_to].to_dict()
orientations_dict = orientations[frame_ids_from:frame_ids_to].to_dict()
orientations_status_dict = orientations_status[frame_ids_from:frame_ids_to].to_dict()
# hack (dictionaries must be strings to be json encoded)
frame_labels_dict = dict(
zip(list(map(str, frame_labels_dict.keys())),
list(map(str, frame_labels_dict.values())))
)
frame_orientations_dict = dict(
zip(list(map(str, orientations_dict.keys())),
list(map(str, orientations_dict.values())))
)
frame_orientations_status_dict = dict(
zip(list(map(str, orientations_status_dict.keys())),
list(map(str, orientations_status_dict.values())))
)
# for future self: there's a bug here
# - duplicate elements in list when there are multiple skeletons
self.finish(tornado.escape.json_encode({
"frame_labels_dict": frame_labels_dict,
"frame_orientations_dict": frame_orientations_dict,
"frame_orientations_status_dict": frame_orientations_status_dict
}))