mirror of
https://github.com/EyeTrackVR/EyeTrackVR.git
synced 2025-11-04 14:39:42 +08:00
commit
2b48be16db
@ -19,8 +19,8 @@
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@@@@@@@@@@@@@@@@@
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@@@@@@@@@@@@@(
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HSR By: Sean.Denka (Optimization Wizard, Contributor), Summer#2406 (Main Algorithm Engineer)
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RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), Sean.Denka (Optimization)
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HSR By: PallasNeko (Optimization Wizard, Contributor), Summer#2406 (Main Algorithm Engineer)
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RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), PallasNeko (Optimization)
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BLOB By: Prohurtz#0001 (Main App Developer)
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Algorithm App Implimentations By: Prohurtz#0001, qdot (Inital App Creator)
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@ -51,10 +51,10 @@ if sys.platform.startswith("win"):
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import importlib
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from osc_calibrate_filter import *
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from haar_surround_feature import *
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from haar_surround_feature import External_Run_HSF
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from blob import *
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from ransac import *
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from hsrac import *
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from hsrac import External_Run_HSRACS
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from blink import *
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@ -147,7 +147,6 @@ class EyeProcessor:
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self.cccs = False
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self.ts = 10
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self.previous_rotation = self.config.rotation_angle
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self.calibration_frame_counter
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self.camera_model = None
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self.detector_3d = None
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@ -246,9 +245,9 @@ class EyeProcessor:
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def HSRACM(self):
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cx, cy, thresh, gray_frame, uncropframe = External_Run_HSRACS.HSRACS(self)
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cx, cy, thresh, gray_frame, uncropframe = External_Run_HSRACS().run(self.current_image_gray)
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self.current_image_gray = gray_frame
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if self.prev_x == None:
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if self.prev_x is None:
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self.prev_x = cx
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self.prev_y = cy
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#print(self.prev_x, self.prev_y, cx, cy)
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@ -268,7 +267,7 @@ class EyeProcessor:
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# print("EYE MOVED TOO FAST")
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# self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSRAC, 0, 0, 0, False))
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def HSFM(self):
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cx, cy, frame = External_Run_HSF.HSFS(self)
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cx, cy, frame = External_Run_HSF().run(self.current_image_gray)
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self.eyeopen = intense(cx, cy, self.current_image_gray)
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out_x, out_y = cal_osc(self, cx, cy)
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if cx == 0:
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@ -347,7 +346,7 @@ class EyeProcessor:
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elif self.settings.gui_RANSAC3D and self.settings.gui_RANSAC3DP == 4:
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self.fourthalgo = self.RANSAC3DM
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if self.settings.gui_HSRAC == True and self.settings.gui_HSRACP == 1:
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if self.settings.gui_HSRAC and self.settings.gui_HSRACP == 1:
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self.firstalgo = self.HSRACM
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elif self.settings.gui_HSRAC and self.settings.gui_HSRACP == 2:
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self.secondalgo = self.HSRACM
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@ -1,16 +1,18 @@
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import functools
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import math
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import sys
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import timeit
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from functools import lru_cache
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import cv2
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import numpy as np
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from utils.misc_utils import clamp
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from utils.img_utils import safe_crop
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# from line_profiler_pycharm import profile
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video_path = "ezgif.com-gif-maker.avi"
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imshow_enable = True
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imshow_enable = False
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calc_print_enable = True
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save_video = False
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skip_autoradius = False
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@ -27,181 +29,6 @@ blink_init_frames = 60 * 3 # 60fps*3sec,Number of blink statistical frames
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# step==(x,y)
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default_step = (5, 5) # bigger the steps,lower the processing time! ofc acc also takes an impact
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"""
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Attention.
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If using cv2.filter2D in this code, be careful with the kernel
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https://stackoverflow.com/questions/39457468/convolution-without-any-padding-opencv-python
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"""
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def TimeitWrapper(*args, **kwargs):
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"""
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This decorator @TimeitWrapper() prints the function name and execution time in seconds.
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:param args:
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:param kwargs:
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:return:
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"""
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def decorator(function):
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@functools.wraps(function)
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def wrapper(*args, **kwargs):
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start = timeit.default_timer()
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results = function(*args, **kwargs)
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end = timeit.default_timer()
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print('{} execution time: {:.10f} s'.format(function.__name__, end - start))
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return results
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return wrapper
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return decorator
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class TimeitResult(object):
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"""
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from https://github.com/ipython/ipython/blob/339c0d510a1f3cb2158dd8c6e7f4ac89aa4c89d8/IPython/core/magics/execution.py#L55
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Object returned by the timeit magic with info about the run.
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Contains the following attributes :
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loops: (int) number of loops done per measurement
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repeat: (int) number of times the measurement has been repeated
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best: (float) best execution time / number
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all_runs: (list of float) execution time of each run (in s)
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"""
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def __init__(self, loops, repeat, best, worst, all_runs, precision):
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self.loops = loops
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self.repeat = repeat
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self.best = best
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self.worst = worst
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self.all_runs = all_runs
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self._precision = precision
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self.timings = [dt / self.loops for dt in all_runs]
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@property
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def average(self):
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return math.fsum(self.timings) / len(self.timings)
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@property
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def stdev(self):
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mean = self.average
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return (math.fsum([(x - mean) ** 2 for x in self.timings]) / len(self.timings)) ** 0.5
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def __str__(self):
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pm = '+-'
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if hasattr(sys.stdout, 'encoding') and sys.stdout.encoding:
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try:
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u'\xb1'.encode(sys.stdout.encoding)
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pm = u'\xb1'
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except:
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pass
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return "min:{best} max:{worst} mean:{mean} {pm} {std} per loop (mean {pm} std. dev. of {runs} run{run_plural}, {loops:,} loop{loop_plural} each)".format(
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pm=pm,
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runs=self.repeat,
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loops=self.loops,
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loop_plural="" if self.loops == 1 else "s",
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run_plural="" if self.repeat == 1 else "s",
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mean=format_time(self.average, self._precision),
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std=format_time(self.stdev, self._precision),
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best=format_time(self.best, self._precision),
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worst=format_time(self.worst, self._precision),
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)
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def _repr_pretty_(self, p, cycle):
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unic = self.__str__()
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p.text(u'<TimeitResult : ' + unic + u'>')
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class FPSResult(object):
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"""
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base https://github.com/ipython/ipython/blob/339c0d510a1f3cb2158dd8c6e7f4ac89aa4c89d8/IPython/core/magics/execution.py#L55
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"""
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def __init__(self, loops, repeat, best, worst, all_runs, precision):
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self.loops = loops
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self.repeat = repeat
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self.best = 1 / best
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self.worst = 1 / worst
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self.all_runs = all_runs
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self._precision = precision
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self.fps = [1 / dt for dt in all_runs]
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self.unit = "fps"
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@property
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def average(self):
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return math.fsum(self.fps) / len(self.fps)
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@property
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def stdev(self):
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mean = self.average
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return (math.fsum([(x - mean) ** 2 for x in self.fps]) / len(self.fps)) ** 0.5
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def __str__(self):
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pm = '+-'
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if hasattr(sys.stdout, 'encoding') and sys.stdout.encoding:
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try:
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u'\xb1'.encode(sys.stdout.encoding)
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pm = u'\xb1'
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except:
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pass
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return "min:{best} max:{worst} mean:{mean} {pm} {std} per loop (mean {pm} std. dev. of {runs} run{run_plural}, {loops:,} loop{loop_plural} each)".format(
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pm=pm,
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runs=self.repeat,
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loops=self.loops,
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loop_plural="" if self.loops == 1 else "s",
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run_plural="" if self.repeat == 1 else "s",
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mean="%.*g%s" % (self._precision, self.average, self.unit),
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std="%.*g%s" % (self._precision, self.stdev, self.unit),
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best="%.*g%s" % (self._precision, self.best, self.unit),
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worst="%.*g%s" % (self._precision, self.worst, self.unit),
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)
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def _repr_pretty_(self, p, cycle):
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unic = self.__str__()
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p.text(u'<FPSResult : ' + unic + u'>')
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def format_time(timespan, precision=3):
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"""
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https://github.com/ipython/ipython/blob/339c0d510a1f3cb2158dd8c6e7f4ac89aa4c89d8/IPython/core/magics/execution.py#L1473
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Formats the timespan in a human readable form
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"""
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if timespan >= 60.0:
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# we have more than a minute, format that in a human readable form
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# Idea from http://snipplr.com/view/5713/
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parts = [("d", 60 * 60 * 24), ("h", 60 * 60), ("min", 60), ("s", 1)]
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time = []
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leftover = timespan
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for suffix, length in parts:
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value = int(leftover / length)
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if value > 0:
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leftover = leftover % length
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time.append(u'%s%s' % (str(value), suffix))
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if leftover < 1:
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break
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return " ".join(time)
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# Unfortunately the unicode 'micro' symbol can cause problems in
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# certain terminals.
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# See bug: https://bugs.launchpad.net/ipython/+bug/348466
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# Try to prevent crashes by being more secure than it needs to
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# E.g. eclipse is able to print a µ, but has no sys.stdout.encoding set.
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units = [u"s", u"ms", u'us', "ns"] # the save value
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if hasattr(sys.stdout, 'encoding') and sys.stdout.encoding:
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try:
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u'\xb5'.encode(sys.stdout.encoding)
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units = [u"s", u"ms", u'\xb5s', "ns"]
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except:
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pass
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scaling = [1, 1e3, 1e6, 1e9]
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if timespan > 0.0:
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order = min(-int(math.floor(math.log10(timespan)) // 3), 3)
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else:
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order = 3
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return u"%.*g %s" % (precision, timespan * scaling[order], units[order])
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class CvParameters:
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# It may be a little slower because a dict named "self" is read for each function call.
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def __init__(self, radius, step):
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@ -419,7 +246,7 @@ def conv_int(frame_int, kernel, xy_step, padding, xy_steps_list):
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return frame_conv, min_response, center
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class Auto_Radius_Calc(object):
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class AutoRadiusCalc(object):
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def __init__(self):
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self.response_list = []
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self.radius_cand_list = []
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@ -522,7 +349,7 @@ class Auto_Radius_Calc(object):
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return None
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class Blink_Detector(object):
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class BlinkDetector(object):
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def __init__(self):
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self.response_list = []
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self.response_max = None
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@ -665,7 +492,7 @@ class CenterCorrection(object):
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return out_x, out_y
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class HSRAC_cls(object):
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class HSF_cls(object):
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def __init__(self):
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# I'd like to take into account things like print, end_time - start_time processing time, etc., but it's too much trouble.
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@ -679,9 +506,9 @@ class HSRAC_cls(object):
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self.cv_modeo = ["first_frame", "radius_adjust", "blink_adjust", "normal"]
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self.now_modeo = self.cv_modeo[0]
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self.auto_radius_calc = Auto_Radius_Calc()
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self.blink_detector = Blink_Detector()
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self.center_q1 = Blink_Detector()
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self.auto_radius_calc = AutoRadiusCalc()
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self.blink_detector = BlinkDetector()
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self.center_q1 = BlinkDetector()
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self.center_correct = CenterCorrection()
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self.cap = None
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@ -709,9 +536,13 @@ class HSRAC_cls(object):
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def single_run(self):
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# Temporary implementation to run
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## default_radius = 14
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# cropbox=[] # debug code
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frame = self.current_image_gray
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if self.now_modeo == self.cv_modeo[1]:
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# adjustment of radius
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@ -756,7 +587,12 @@ class HSRAC_cls(object):
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lower_y = center_y - radius
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# Crop the image using the calculated bounds
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cropped_image = gray_frame[lower_y:upper_y, lower_x:upper_x]
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cropped_image = safe_crop(gray_frame, lower_x, lower_y, upper_x, upper_y)
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# cropbox = [clamp(val, 0, gray_frame.shape[i]) for i, val in
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# zip([1, 0, 1, 0], [lower_x, lower_y, upper_x, upper_y])] # debug code
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if self.now_modeo == self.cv_modeo[0] or self.now_modeo == self.cv_modeo[1]:
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# If mode is first_frame or radius_adjust, record current radius and response
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@ -770,8 +606,14 @@ class HSRAC_cls(object):
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lower_x = center_x - self.center_correct.center_q1_radius
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upper_y = center_y + self.center_correct.center_q1_radius
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lower_y = center_y - self.center_correct.center_q1_radius
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self.center_q1.add_response(cv2.mean(gray_frame[lower_y:upper_y, lower_x:upper_x])[0])
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self.center_q1.add_response(
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cv2.mean(safe_crop(gray_frame, lower_x, lower_y, upper_x, upper_y,keepsize=False))[
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0
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]
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)
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else:
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self.blink_detector.calc_thresh()
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@ -792,9 +634,19 @@ class HSRAC_cls(object):
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else:
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# pass
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if not self.center_correct.setup_comp:
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self.center_correct.init_array(gray_frame.shape, self.center_q1.quartile_1, radius)
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center_x, center_y = self.center_correct.correction(gray_frame, center_x, center_y)
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self.center_correct.init_array(
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gray_frame.shape, self.center_q1.quartile_1, radius
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)
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elif self.center_correct.frame_shape != gray_frame.shape:
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"""The resolution should have changed and the statistics should have changed, so essentially the statistics
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need to be reworked, but implementation will be postponed as viability is the highest priority. """
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self.center_correct.init_array(
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gray_frame.shape, self.center_q1.quartile_1, radius
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)
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center_x, center_y = self.center_correct.correction(
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gray_frame, center_x, center_y
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)
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# Define the center point and radius
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center_xy = (center_x, center_y)
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upper_x = center_x + radius
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@ -802,10 +654,16 @@ class HSRAC_cls(object):
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upper_y = center_y + radius
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lower_y = center_y - radius
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# Crop the image using the calculated bounds
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cropped_image = gray_frame[lower_y:upper_y, lower_x:upper_x]
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# if imshow_enable or save_video:
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# cv2.circle(frame, (orig_x, orig_y), 6, (0, 0, 255), -1)
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# cv2.circle(frame, (center_x, center_y), 3, (255, 0, 0), -1)
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cropped_image = safe_crop(
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gray_frame, lower_x, lower_y, upper_x, upper_y
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)
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# cropbox = [clamp(val, 0, gray_frame.shape[i]) for i, val in
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# zip([1, 0, 1, 0], [lower_x, lower_y, upper_x, upper_y])] # debug code
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# if imshow_enable or save_video:
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# cv2.circle(frame, (orig_x, orig_y), 6, (0, 0, 255), -1)
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# cv2.circle(frame, (center_x, center_y), 3, (255, 0, 0), -1)
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# If you want to update response_max. it may be more cost-effective to rewrite response_list in the following way
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# https://stackoverflow.com/questions/42771110/fastest-way-to-left-cycle-a-numpy-array-like-pop-push-for-a-queue
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@ -837,20 +695,28 @@ class HSRAC_cls(object):
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self.now_modeo = self.cv_modeo[2]
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else:
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self.now_modeo = self.cv_modeo[1]
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# debug code
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# return center_x,center_y,cropbox,frame
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return center_x, center_y, frame
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|
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class External_Run_HSF:
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class External_Run_HSF(object):
|
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def __init__(self):
|
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self.algo = HSF_cls()
|
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|
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hsrac = HSRAC_cls()
|
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|
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def HSFS(self):
|
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External_Run_HSF.hsrac.current_image_gray = self.current_image_gray
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center_x, center_y, frame = External_Run_HSF.hsrac.single_run()
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def run(self, current_image_gray):
|
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self.algo.current_image_gray = current_image_gray
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||||
# debug code
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||||
# center_x, center_y,cropbox, frame = self.algo.single_run()
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# return center_x, center_y,cropbox, frame
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center_x, center_y, frame = self.algo.single_run()
|
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return center_x, center_y, frame
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|
||||
if __name__ == '__main__':
|
||||
hsrac = HSRAC_cls()
|
||||
hsrac.open_video(video_path)
|
||||
while hsrac.read_frame():
|
||||
_ = hsrac.single_run()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
hsf = HSF_cls()
|
||||
hsf.open_video(video_path)
|
||||
while hsf.read_frame():
|
||||
_ = hsf.single_run()
|
||||
|
||||
1120
EyeTrackApp/hsrac.py
1120
EyeTrackApp/hsrac.py
File diff suppressed because it is too large
Load Diff
@ -19,7 +19,7 @@
|
||||
@@@@@@@@@@@@@@@@@
|
||||
@@@@@@@@@@@@@(
|
||||
|
||||
RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), Sean.Denka (Optimization)
|
||||
RANSAC 3D By: Summer#2406 (Main Algorithm Engineer), Pupil Labs (pye3d), PallasNeko (Optimization)
|
||||
Algorithm App Implimentations By: Prohurtz#0001, qdot (Inital App Creator)
|
||||
|
||||
Copyright (c) 2022 EyeTrackVR <3
|
||||
|
||||
0
EyeTrackApp/utils/__init__.py
Normal file
0
EyeTrackApp/utils/__init__.py
Normal file
12
EyeTrackApp/utils/img_utils.py
Normal file
12
EyeTrackApp/utils/img_utils.py
Normal file
@ -0,0 +1,12 @@
|
||||
import cv2
|
||||
|
||||
|
||||
def safe_crop(img, x, y, x2, y2, keepsize=True):
|
||||
# The order of the arguments can be reconsidered.
|
||||
img_h, img_w = img.shape[:2]
|
||||
outimg = img[max(0, y) : min(img_h, y2), max(0, x) : min(img_w, x2)].copy()
|
||||
reqsize_x, reqsize_y = abs(x2 - x), abs(y2 - y)
|
||||
if keepsize and outimg.shape[:2] != (reqsize_y, reqsize_x):
|
||||
# If the size is different from the expected size (smaller by the amount that is out of range)
|
||||
outimg = cv2.resize(outimg, (reqsize_x, reqsize_y))
|
||||
return outimg
|
||||
2
EyeTrackApp/utils/misc_utils.py
Normal file
2
EyeTrackApp/utils/misc_utils.py
Normal file
@ -0,0 +1,2 @@
|
||||
def clamp(x, low, high):
|
||||
return max(low, min(x, high))
|
||||
171
EyeTrackApp/utils/time_utils.py
Normal file
171
EyeTrackApp/utils/time_utils.py
Normal file
@ -0,0 +1,171 @@
|
||||
import functools
|
||||
import math
|
||||
import sys
|
||||
import timeit
|
||||
|
||||
def TimeitWrapper(*args, **kwargs):
|
||||
"""
|
||||
This decorator @TimeitWrapper() prints the function name and execution time in seconds.
|
||||
:param args:
|
||||
:param kwargs:
|
||||
:return:
|
||||
"""
|
||||
|
||||
def decorator(function):
|
||||
@functools.wraps(function)
|
||||
def wrapper(*args, **kwargs):
|
||||
start = timeit.default_timer()
|
||||
results = function(*args, **kwargs)
|
||||
end = timeit.default_timer()
|
||||
print('{} execution time: {:.10f} s'.format(function.__name__, end - start))
|
||||
return results
|
||||
|
||||
return wrapper
|
||||
|
||||
return decorator
|
||||
|
||||
|
||||
class TimeitResult(object):
|
||||
"""
|
||||
from https://github.com/ipython/ipython/blob/339c0d510a1f3cb2158dd8c6e7f4ac89aa4c89d8/IPython/core/magics/execution.py#L55
|
||||
|
||||
Object returned by the timeit magic with info about the run.
|
||||
Contains the following attributes :
|
||||
loops: (int) number of loops done per measurement
|
||||
repeat: (int) number of times the measurement has been repeated
|
||||
best: (float) best execution time / number
|
||||
all_runs: (list of float) execution time of each run (in s)
|
||||
"""
|
||||
|
||||
def __init__(self, loops, repeat, best, worst, all_runs, precision):
|
||||
self.loops = loops
|
||||
self.repeat = repeat
|
||||
self.best = best
|
||||
self.worst = worst
|
||||
self.all_runs = all_runs
|
||||
self._precision = precision
|
||||
self.timings = [dt / self.loops for dt in all_runs]
|
||||
|
||||
@property
|
||||
def average(self):
|
||||
return math.fsum(self.timings) / len(self.timings)
|
||||
|
||||
@property
|
||||
def stdev(self):
|
||||
mean = self.average
|
||||
return (math.fsum([(x - mean) ** 2 for x in self.timings]) / len(self.timings)) ** 0.5
|
||||
|
||||
def __str__(self):
|
||||
pm = '+-'
|
||||
if hasattr(sys.stdout, 'encoding') and sys.stdout.encoding:
|
||||
try:
|
||||
u'\xb1'.encode(sys.stdout.encoding)
|
||||
pm = u'\xb1'
|
||||
except:
|
||||
pass
|
||||
return "min:{best} max:{worst} mean:{mean} {pm} {std} per loop (mean {pm} std. dev. of {runs} run{run_plural}, {loops:,} loop{loop_plural} each)".format(
|
||||
pm=pm,
|
||||
runs=self.repeat,
|
||||
loops=self.loops,
|
||||
loop_plural="" if self.loops == 1 else "s",
|
||||
run_plural="" if self.repeat == 1 else "s",
|
||||
mean=format_time(self.average, self._precision),
|
||||
std=format_time(self.stdev, self._precision),
|
||||
best=format_time(self.best, self._precision),
|
||||
worst=format_time(self.worst, self._precision),
|
||||
)
|
||||
|
||||
def _repr_pretty_(self, p, cycle):
|
||||
unic = self.__str__()
|
||||
p.text(u'<TimeitResult : ' + unic + u'>')
|
||||
|
||||
|
||||
class FPSResult(object):
|
||||
"""
|
||||
base https://github.com/ipython/ipython/blob/339c0d510a1f3cb2158dd8c6e7f4ac89aa4c89d8/IPython/core/magics/execution.py#L55
|
||||
"""
|
||||
|
||||
def __init__(self, loops, repeat, best, worst, all_runs, precision):
|
||||
self.loops = loops
|
||||
self.repeat = repeat
|
||||
self.best = 1 / best
|
||||
self.worst = 1 / worst
|
||||
self.all_runs = all_runs
|
||||
self._precision = precision
|
||||
self.fps = [1 / dt for dt in all_runs]
|
||||
self.unit = "fps"
|
||||
|
||||
@property
|
||||
def average(self):
|
||||
return math.fsum(self.fps) / len(self.fps)
|
||||
|
||||
@property
|
||||
def stdev(self):
|
||||
mean = self.average
|
||||
return (math.fsum([(x - mean) ** 2 for x in self.fps]) / len(self.fps)) ** 0.5
|
||||
|
||||
def __str__(self):
|
||||
pm = '+-'
|
||||
if hasattr(sys.stdout, 'encoding') and sys.stdout.encoding:
|
||||
try:
|
||||
u'\xb1'.encode(sys.stdout.encoding)
|
||||
pm = u'\xb1'
|
||||
except:
|
||||
pass
|
||||
return "min:{best} max:{worst} mean:{mean} {pm} {std} per loop (mean {pm} std. dev. of {runs} run{run_plural}, {loops:,} loop{loop_plural} each)".format(
|
||||
pm=pm,
|
||||
runs=self.repeat,
|
||||
loops=self.loops,
|
||||
loop_plural="" if self.loops == 1 else "s",
|
||||
run_plural="" if self.repeat == 1 else "s",
|
||||
mean="%.*g%s" % (self._precision, self.average, self.unit),
|
||||
std="%.*g%s" % (self._precision, self.stdev, self.unit),
|
||||
best="%.*g%s" % (self._precision, self.best, self.unit),
|
||||
worst="%.*g%s" % (self._precision, self.worst, self.unit),
|
||||
)
|
||||
|
||||
def _repr_pretty_(self, p, cycle):
|
||||
unic = self.__str__()
|
||||
p.text(u'<FPSResult : ' + unic + u'>')
|
||||
|
||||
|
||||
def format_time(timespan, precision=3):
|
||||
"""
|
||||
https://github.com/ipython/ipython/blob/339c0d510a1f3cb2158dd8c6e7f4ac89aa4c89d8/IPython/core/magics/execution.py#L1473
|
||||
Formats the timespan in a human readable form
|
||||
"""
|
||||
|
||||
if timespan >= 60.0:
|
||||
# we have more than a minute, format that in a human readable form
|
||||
# Idea from http://snipplr.com/view/5713/
|
||||
parts = [("d", 60 * 60 * 24), ("h", 60 * 60), ("min", 60), ("s", 1)]
|
||||
time = []
|
||||
leftover = timespan
|
||||
for suffix, length in parts:
|
||||
value = int(leftover / length)
|
||||
if value > 0:
|
||||
leftover = leftover % length
|
||||
time.append(u'%s%s' % (str(value), suffix))
|
||||
if leftover < 1:
|
||||
break
|
||||
return " ".join(time)
|
||||
|
||||
# Unfortunately the unicode 'micro' symbol can cause problems in
|
||||
# certain terminals.
|
||||
# See bug: https://bugs.launchpad.net/ipython/+bug/348466
|
||||
# Try to prevent crashes by being more secure than it needs to
|
||||
# E.g. eclipse is able to print a µ, but has no sys.stdout.encoding set.
|
||||
units = [u"s", u"ms", u'us', "ns"] # the save value
|
||||
if hasattr(sys.stdout, 'encoding') and sys.stdout.encoding:
|
||||
try:
|
||||
u'\xb5'.encode(sys.stdout.encoding)
|
||||
units = [u"s", u"ms", u'\xb5s', "ns"]
|
||||
except:
|
||||
pass
|
||||
scaling = [1, 1e3, 1e6, 1e9]
|
||||
|
||||
if timespan > 0.0:
|
||||
order = min(-int(math.floor(math.log10(timespan)) // 3), 3)
|
||||
else:
|
||||
order = 3
|
||||
return u"%.*g %s" % (precision, timespan * scaling[order], units[order])
|
||||
Loading…
Reference in New Issue
Block a user