mmatiaschek

DROP TABLE IF EXISTS foo;
CREATE TEMPORARY TABLE foo (x FLOAT);
INSERT INTO foo VALUES (1);
INSERT INTO foo VALUES (2);
INSERT INTO foo VALUES (3);
INSERT INTO foo VALUES (4);
INSERT INTO foo VALUES (100);

SELECT avg(x), tmean(x, 2.0), tmean(x, 1.5) FROM foo;

mmatiaschek

    /**
     * Calculates the min and max x, y and z (depth) from a point cloud buffer.
     */
    private float calculateMinMaxPointCloudXYZ(FloatBuffer pointCloudBuffer, int numPoints) {
        float current = 0;
        if (numPoints != 0) {
            int numFloats = 4 * numPoints;
            int num = 0;
            for (int i = 0; i<numFloats; i++) {
                current = pointCloudBuffer.get(i);

mmatiaschek

#create pb and pbtxt from data,index and meta

import tensorflow as tf
import tensorflow.contrib.slim as slim
print("imported Tensorflow")
tf.train.import_meta_graph('mpii-single-resnet-101.meta')
print("imported meta graph")
variables_to_restore = slim.get_variables_to_restore(include=["resnet_v1"])
restorer = tf.train.Saver(variables_to_restore)
saver = tf.train.Saver(max_to_keep=5)