Delete tools/telemetry.

tools/telemetry/telemetry/internal/image_processing/cv_util.py

Index: tools/telemetry/telemetry/internal/image_processing/cv_util.py
diff --git a/tools/telemetry/telemetry/internal/image_processing/cv_util.py b/tools/telemetry/telemetry/internal/image_processing/cv_util.py
deleted file mode 100644
index 356c0d621bad21ad6ea3f7980c52f7fe8bbe708f..0000000000000000000000000000000000000000
--- a/tools/telemetry/telemetry/internal/image_processing/cv_util.py
+++ /dev/null
@@ -1,90 +0,0 @@
-# Copyright 2014 The Chromium Authors. All rights reserved.
-# Use of this source code is governed by a BSD-style license that can be
-# found in the LICENSE file.
-
-"""This module provides implementations of common computer Vision operations."""
-
-from __future__ import division
-from telemetry.internal.util import external_modules
-
-np = external_modules.ImportRequiredModule('numpy')
-
-
-def AreLinesOrthogonal(line1, line2, tolerance):
-  """Returns true if lines are within tolerance radians of being orthogonal."""
-  # Map each line onto an angle between 0 and 180.
-  theta1 = np.arctan2(np.float(line1[1] - line1[3]),
-                      np.float(line1[0] - line1[2]))
-  theta2 = np.arctan2(np.float(line2[1] - line2[3]),
-                      np.float(line2[0] - line2[2]))
-  angle2 = abs(theta2 - theta1)
-  if angle2 >= np.pi:
-    angle2 -= np.pi
-  # If the difference between the angles is more than pi/2 - tolerance, the
-  # lines are not orthogonal.
-  return not abs(angle2 - (np.pi / 2.0)) > tolerance
-
-
-def FindLineIntersection(line1, line2):
-  """If the line segments intersect, returns True and their intersection.
-  Otherwise, returns False and the intersection of the line segments if they
-  were to be extended."""
-  # Compute g, and h, the factor by which each line must be extended to
-  # exactly touch the other line. If both are between 0 and 1, then the lines
-  # currently intersect. We use h to compute their intersection.
-  line1p1 = line1[:2]
-  line1p0 = line1[2:]
-  line2p1 = line2[:2]
-  line2p0 = line2[2:]
-  E = np.subtract(line1p1, line1p0)
-  F = np.subtract(line2p1, line2p0)
-  Pe = np.asfarray((-E[1], E[0]))
-  Pf = np.asfarray((-F[1], F[0]))
-  h = np.dot(np.subtract(line1p0, line2p0), Pe)
-  h = np.divide(h, np.dot(F, Pe))
-  g = np.dot(np.subtract(line2p0, line1p0), Pf)
-  g = np.divide(g, np.dot(E, Pf))
-  intersection = np.add(line2p0, np.dot(F, h))
-  intersect = (h >= -0.000001 and h <= 1.000001 and
-               g >= -0.000001 and g <= 1.000001)
-  return intersect, intersection
-
-
-def ExtendLines(lines, length):
-  """Extends lines in an array to a given length, maintaining the center
-  point. Does not necessarily maintain point order."""
-  half_length = length / 2.0
-  angles = np.arctan2(lines[:, 1] - lines[:, 3], lines[:, 0] - lines[:, 2])
-  xoffsets = half_length * np.cos(angles)
-  yoffsets = half_length * np.sin(angles)
-  centerx = (lines[:, 0] + lines[:, 2]) / 2.0
-  centery = (lines[:, 1] + lines[:, 3]) / 2.0
-  lines[:, 0] = centerx - xoffsets
-  lines[:, 2] = centerx + xoffsets
-  lines[:, 1] = centery - yoffsets
-  lines[:, 3] = centery + yoffsets
-  return lines
-
-
-def IsPointApproxOnLine(point, line, tolerance=1):
-  """Approximates distance between point and line for small distances using
-  the determinant and checks whether it's within the tolerance. Tolerance is
-  an approximate distance in pixels, precision decreases with distance."""
-  xd = line[0] - line[2]
-  yd = line[1] - line[3]
-  det = ((xd) * (point[1] - line[3])) - ((yd) * (point[0] - line[2]))
-  tolerance = float(tolerance) * (abs(xd) + abs(yd))
-  return abs(det) * 2.0 <= tolerance
-
-
-def SqDistances(points1, points2):
-  """Computes the square of the distance between two sets of points, or a
-  set of points and a point."""
-  d = np.square(points1 - points2)
-  return d[:, 0] + d[:, 1]
-
-
-def SqDistance(point1, point2):
-  """Computes the square of the distance between two points."""
-  d = np.square(point1 - point2)
-  return d[0] + d[1]