Hi, Since the link http://www.wisdom.weizmann.ac.il/~haggaim/projects/PCNN/segmentation_data.zip is not avaiable now.
How can I prepare my own data.
I can understand
pointclouds_ph = tf.placeholder(tf.float32, shape=(batch_size, point_num, 3))
seg_ph = tf.placeholder(tf.int32, shape=(batch_size, point_num))
but I am confusing about "input_label_ph = tf.placeholder(tf.float32, shape=(batch_size, NUM_CATEGORIES))"
NUM_CATEGORIES seems to be the number of semantic parts.
How to define labels for my own data. Thanks a lot
Hi, Since the link http://www.wisdom.weizmann.ac.il/~haggaim/projects/PCNN/segmentation_data.zip is not avaiable now. How can I prepare my own data. I can understand pointclouds_ph = tf.placeholder(tf.float32, shape=(batch_size, point_num, 3)) seg_ph = tf.placeholder(tf.int32, shape=(batch_size, point_num)) but I am confusing about "input_label_ph = tf.placeholder(tf.float32, shape=(batch_size, NUM_CATEGORIES))" NUM_CATEGORIES seems to be the number of semantic parts. How to define labels for my own data. Thanks a lot