ahangchen

def label2xml(list_path, category_id, ANN_DIR='data/Annotations/', IMG_DIR='data/images/', SET_DIR='data/ImageSets/',
              train=True):
    set_file_list = [SET_DIR + 'train.txt', SET_DIR + 'minival.txt', SET_DIR + 'testdev.txt', SET_DIR + 'test.txt']
    TYPEPREFIX = 'train' if train else 'val'
    lines = read_lines(list_path)
    line_i = 0
    last_name = ''
    E = None
    img_annotation = None

elgehelge

"""Script to illustrate usage of tf.estimator.Estimator in TF v1.5"""
import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data as mnist_data
from tensorflow.contrib import slim

# Show debugging output
tf.logging.set_verbosity(tf.logging.DEBUG)

# Set default flags for the output directories

farrajota

function mpii_convert_json(  )
% convert mpii annotations .mat file to .json


%% load annotation file
fprintf('Load annotations... ')
data = load('/media/HDD2/Datasets/Human_Pose/mpii/mpii_human_pose_v1_u12_2/mpii_human_pose_v1_u12_1.mat');
fprintf('Done.\n')
%% open file
fprintf('Open file mpii_human_pose_annotations.json\n')