init
commit
a07ead8a9e
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data
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**/*.mkv filter=lfs diff=lfs merge=lfs -text
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.ipynb_checkpoints
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*_frames
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*.blend1
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FROM jupyter/minimal-notebook
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COPY --chown=1000 requirements.txt /tmp/
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COPY --chown=1000 postBuild /tmp/
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RUN pip install -r /tmp/requirements.txt \
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&& rm /tmp/requirements.txt
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RUN /tmp/postBuild \
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&& rm /tmp/postBuild
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@ -0,0 +1,15 @@
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ISC License (ISC)
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Copyright Simon Bruder
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Permission to use, copy, modify, and/or distribute this software for any
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purpose with or without fee is hereby granted, provided that the above
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copyright notice and this permission notice appear in all copies.
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|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
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FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
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||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
|
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LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
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OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
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PERFORMANCE OF THIS SOFTWARE.
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# video analysis
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[](https://mybinder.org/v2/git/https%3A%2F%2Fgit.sbruder.de%2Fsimon%2Fvideo-analysis/master?urlpath=lab)
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@ -0,0 +1,135 @@
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# ISC License
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#
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# Copyright 2019 Simon Bruder
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#
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# Permission to use, copy, modify, and/or distribute this software for any
|
||||
# purpose with or without fee is hereby granted, provided that the above
|
||||
# copyright notice and this permission notice appear in all copies.
|
||||
#
|
||||
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
# REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
|
||||
# AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
# INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
|
||||
# LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
|
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# OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
|
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# PERFORMANCE OF THIS SOFTWARE.
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#
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# This script is based on “aae-export.py” by Martin Herkt (lachs0r): https://gist.github.com/torque/6453947
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bl_info = {
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'name': 'Export: CSV Tracking Data',
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'description': 'Export motion tracking data to CSV file',
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'author': 'Simon Bruder',
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'version': (0, 1, 0),
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'blender': (2, 80, 0),
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'location': 'Movie Clip Editor > Footage > CSV Tracking Data Export',
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'warning': '',
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'category': 'Import-Export',
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}
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import bpy
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import csv
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import math
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import mathutils
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def write_files(prefix, context):
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scene = context.scene
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fps = scene.render.fps / scene.render.fps_base
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clip = context.edit_movieclip
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real_scale = clip.real_length_pixels / clip.real_length_meters
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for trackno, track in enumerate(clip.tracking.tracks):
|
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with open(f'{prefix}_{trackno}.csv', 'w') as f:
|
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writer = csv.DictWriter(
|
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f,
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fieldnames=[
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'time (frames)',
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'time (s)',
|
||||
'x (px)',
|
||||
'x (m)',
|
||||
'y (px)',
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'y (m)',
|
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'rotation'
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]
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)
|
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writer.writeheader()
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startrot = None
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for marker in [track.markers.find_frame(frameno) for frameno in range(1, clip.frame_duration + 1)]:
|
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if not marker or marker.mute:
|
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continue
|
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|
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coords = marker.co
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corners = marker.pattern_corners
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|
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p1 = mathutils.Vector(corners[0])
|
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p2 = mathutils.Vector(corners[1])
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mid = (p1 + p2) / 2
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diff = mid - mathutils.Vector((0,0))
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|
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rotation = math.atan2(diff[0], diff[1]) * 180 / math.pi
|
||||
|
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if startrot == None:
|
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startrot = rotation
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rotation = 0
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else:
|
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rotation -= startrot - 360
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x = coords[0] * clip.size[0]
|
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y = (1 - coords[1]) * clip.size[1]
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writer.writerow({
|
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'time (frames)': marker.frame,
|
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'time (s)': marker.frame / fps,
|
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'x (px)': x,
|
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'x (m)': x / real_scale,
|
||||
'y (px)': y,
|
||||
'y (m)': y / real_scale,
|
||||
'rotation': rotation % 360
|
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})
|
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return {'FINISHED'}
|
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|
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from bpy_extras.io_utils import ExportHelper
|
||||
from bpy.props import StringProperty
|
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|
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class ExportCSVKey(bpy.types.Operator, ExportHelper):
|
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bl_idname = 'export.csvkey'
|
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bl_label = 'Export tracking data to CSV file'
|
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filename_ext = ''
|
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|
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filter_glob: StringProperty(default='*', options={'HIDDEN'})
|
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def execute(self, context):
|
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return write_files(self.filepath, context)
|
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|
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class ExportCSVKeyPanel(bpy.types.Panel):
|
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bl_idname = 'CLIP_PT_tracking_export'
|
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bl_label = 'CSV Tracking Data Export'
|
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bl_space_type = 'CLIP_EDITOR'
|
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bl_region_type = 'UI'
|
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bl_category = 'Footage'
|
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bl_options = {'DEFAULT_CLOSED'}
|
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|
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def draw(self, context):
|
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layout = self.layout
|
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|
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col = self.layout.column(align = True)
|
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col.prop(context.edit_movieclip, 'real_length_pixels')
|
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col.prop(context.edit_movieclip, 'real_length_meters')
|
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col.operator('export.csvkey', text='Export')
|
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|
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def register():
|
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bpy.utils.register_class(ExportCSVKey)
|
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bpy.utils.register_class(ExportCSVKeyPanel)
|
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bpy.types.MovieClip.real_length_pixels = bpy.props.IntProperty(name='Real length (px)', default=100)
|
||||
bpy.types.MovieClip.real_length_meters = bpy.props.FloatProperty(name='Real length (m)', default=0.1, precision=3)
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|
||||
def unregister():
|
||||
bpy.utils.unregister_class(ExportCSVKey)
|
||||
del bpy.types.MovieClip.real_length_pixels
|
||||
del bpy.types.MovieClip.real_length_meters
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if __name__ == '__main__':
|
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register()
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File diff suppressed because it is too large
Load Diff
Binary file not shown.
Binary file not shown.
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@ -0,0 +1,591 @@
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time (frames),time (s),x (px),x (m),y (px),y (m),rotation
|
||||
1,0.04,560.4334759712219,0.8302717976956409,396.12247467041016,0.5868480975057524,0
|
||||
2,0.08,560.5243062973022,0.830406361138678,396.2046432495117,0.5869698287313301,0.2377358438347983
|
||||
3,0.12,560.4334759712219,0.8302717976956409,396.09981536865234,0.5868145281705652,0.35648843393869356
|
||||
4,0.16,560.502290725708,0.830373745477786,396.1513137817383,0.5868908221141724,0.48422587123809535
|
||||
5,0.2,560.4740309715271,0.8303318791762315,396.1775207519531,0.5869296472543637,0.2709865140657257
|
||||
6,0.24,560.4189920425415,0.8302503400240013,396.10782623291016,0.5868263961173485,0.3904601303511299
|
||||
7,0.28,560.4686236381531,0.8303238683121528,396.1259078979492,0.5868531837686596,0.47220017386621294
|
||||
8,0.32,560.4391407966614,0.8302801900294376,396.1427307128906,0.5868781064569046,0.18822010173505532
|
||||
9,0.36,560.4592895507812,0.830310040034874,396.1491394042969,0.5868876008143312,0.19962089014342155
|
||||
10,0.4,560.438175201416,0.830278759517995,396.11011505126953,0.5868297869592867,0.4984555471181693
|
||||
11,0.44,560.4057955741882,0.830230789700952,396.16344451904297,0.5869087935764443,0.3971831406848878
|
||||
12,0.48,560.4696536064148,0.8303253941910249,396.1273956298828,0.5868553878159193,0.8505485467943572
|
||||
13,0.52,560.3842306137085,0.8301988416120665,396.0995864868164,0.5868141890863714,0.41302134334785023
|
||||
14,0.56,560.4851031303406,0.8303482823741071,396.1322021484375,0.5868625085839894,0.2163158512800578
|
||||
15,0.6,560.4882574081421,0.830352955378153,396.1791229248047,0.5869320208437203,0.5552374766024286
|
||||
16,0.64,560.4452562332153,0.830289249935241,396.1037063598633,0.58682029260186,0.3656076956007155
|
||||
17,0.68,560.4633450508118,0.830316048182933,396.1600112915039,0.5869037073135372,0.17754204991564393
|
||||
18,0.72,554.604241847992,0.8216358954838832,395.70865631103516,0.5862350332833444,356.808934818442
|
||||
19,0.76,547.1640729904175,0.8106134233486628,395.3899383544922,0.5857628585434642,352.284339842787
|
||||
20,0.8,540.1465773582458,0.8002171337555986,395.386962890625,0.5857584504489447,348.18373472140286
|
||||
21,0.84,533.2874071598053,0.7900554003554117,395.5769348144531,0.5860398903298069,343.46670429517366
|
||||
22,0.88,526.6527056694031,0.7802262131819226,396.0340118408203,0.5867170414648449,339.6815436183633
|
||||
23,0.92,520.1859855651855,0.7706458873157374,396.65782928466797,0.5876412154350734,334.78991784368077
|
||||
24,0.96,513.8623666763306,0.7612775632453506,397.5244903564453,0.5889251577349341,331.2511524833318
|
||||
25,1.0,507.4153769016266,0.7517264674963098,398.5974884033203,0.5905147844355143,326.93477212414734
|
||||
26,1.04,500.8322060108185,0.7419736219501427,399.8873519897461,0.5924256934097293,323.06326713092517
|
||||
27,1.08,493.8655650615692,0.7316526726263906,401.2193298339844,0.5943989938756052,318.8896623666674
|
||||
28,1.12,486.5072786808014,0.7207515078615057,402.7872848510742,0.596721890145299,315.6717847462087
|
||||
29,1.16,478.7000548839569,0.709185250643225,404.5872116088867,0.599388448245419,311.7336285901532
|
||||
30,1.2,470.0386655330658,0.6963535630027895,406.7530059814453,0.6025970324293439,308.47147606424573
|
||||
31,1.24,460.1683509349823,0.681730875036175,409.6186065673828,0.6068423665358422,305.09050353068767
|
||||
32,1.28,448.85273337364197,0.6649669975422245,413.1840133666992,0.6121244505649138,302.0384454986872
|
||||
33,1.32,435.73566913604736,0.6455343102171796,418.0308151245117,0.6193048974530294,297.9412907942392
|
||||
34,1.36,420.6493055820465,0.6231841424885953,424.5872497558594,0.6290181337268071,294.8460133573941
|
||||
35,1.4,403.3693027496338,0.597584138864633,433.5502624511719,0.6422966707563975,291.2349628118601
|
||||
36,1.44,383.83238196372986,0.5686405531620853,445.9172058105469,0.6606180679163268,286.68811053197385
|
||||
37,1.48,362.4418079853058,0.5369508146431112,462.9122543334961,0.6857959170171866,283.5616062373922
|
||||
38,1.52,340.2061450481415,0.5040090925095431,486.1952590942383,0.720289256632485,279.5051866146998
|
||||
39,1.56,318.84244680404663,0.472359169892389,517.5426864624023,0.7667298887324768,275.79740733890674
|
||||
40,1.6,301.42645597457886,0.44655770257358895,558.5065841674805,0.827417143235386,272.0729754170668
|
||||
41,1.64,292.73542284965515,0.43368209823186454,609.1754150390625,0.9024820761821198,268.52921825800286
|
||||
42,1.68,298.27343344688416,0.44188655819252354,666.7806243896484,0.9878231251643557,264.5861141037866
|
||||
43,1.72,322.71979451179504,0.47810338859028967,724.4285202026367,1.073227413348737,260.2388996034547
|
||||
44,1.76,366.3798916339874,0.5427850125107536,771.0229110717773,1.1422561390193664,255.40527921849502
|
||||
45,1.8,420.2097022533417,0.6225328783124784,795.2408981323242,1.1781346375663777,250.2955502571184
|
||||
46,1.84,472.31019616127014,0.6997187934878735,797.1906280517578,1.1810231262713462,245.04125849172465
|
||||
47,1.88,516.5280854701996,0.7652267761850329,787.3875045776367,1.1664999807083771,239.57948835496768
|
||||
48,1.92,551.5726590156555,0.8171446617585865,771.763916015625,1.1433539240968256,234.03498021646988
|
||||
49,1.96,578.757963180542,0.8574191855471014,755.5895233154297,1.1193918613728708,227.85296162063742
|
||||
50,2.0,601.475715637207,0.8910751143602624,742.9448318481445,1.1006589855437534,221.33494782039554
|
||||
51,2.04,623.0124163627625,0.9229813369442219,735.0333023071289,1.0889382013005249,213.1694572976703
|
||||
52,2.08,645.3273868560791,0.9560405517509452,731.3726806640625,1.0835150582468285,203.32737672578082
|
||||
53,2.12,668.5003852844238,0.9903709190255938,731.5952682495117,1.0838448176253084,190.92624174388664
|
||||
54,2.16,689.8876762390137,1.022055793805663,735.384521484375,1.089458525995926,176.0732991505298
|
||||
55,2.2,710.3904175758362,1.0524302247368489,742.9023742675781,1.1005960854258017,167.70717966119855
|
||||
56,2.24,730.7456803321838,1.0825861688870297,754.4102096557617,1.117644730064266,148.18919021293107
|
||||
57,2.28,747.9670071601868,1.1080992450989946,769.5621871948242,1.1400921036944724,135.0349494669942
|
||||
58,2.32,761.141459941864,1.1276169524874469,787.2611618041992,1.166312806233394,118.6298964124714
|
||||
59,2.36,767.0844411849976,1.136421368947147,808.7665557861328,1.198172648457469,108.88495181606726
|
||||
60,2.4,759.9105191230774,1.1257933365003758,829.8443984985352,1.2293990814075073,97.98942464122081
|
||||
61,2.44,740.759482383728,1.0974214308540198,847.0624923706055,1.2549073680552345,86.12984246731423
|
||||
62,2.48,710.7082271575928,1.0529010537363348,853.3324813842773,1.2641962404604594,73.86727352067555
|
||||
63,2.52,675.4302048683167,1.0006373181796668,845.0698471069336,1.2519553010639268,68.86247186200097
|
||||
64,2.56,645.1358127593994,0.9557567382807264,822.2183990478516,1.2181013046960567,65.20455480466819
|
||||
65,2.6,621.6170024871826,0.9209140571747554,789.54345703125,1.1696939842719682,61.90873523981463
|
||||
66,2.64,607.7442955970764,0.900361899278419,753.2398223876953,1.1159108230392196,59.47816206645473
|
||||
67,2.68,602.7427053451538,0.8929521361078585,719.1046142578125,1.0653401454586249,56.92629090827256
|
||||
68,2.72,605.3568935394287,0.8968250074202189,690.0751876831055,1.0223335885314415,54.92074776573588
|
||||
69,2.76,613.455662727356,0.9088231837267458,668.2530212402344,0.990004453783134,53.0296170110239
|
||||
70,2.8,625.1929235458374,0.9262117178839802,654.9117279052734,0.9702395752101565,51.167687214929344
|
||||
71,2.84,638.998875617981,0.9466649797559157,650.5110168457031,0.963720003415776,49.198991005951314
|
||||
72,2.88,654.2120862007141,0.9692030690043474,655.0634765625,0.9704643880306523,47.28875752211002
|
||||
73,2.92,669.8499655723572,0.9923702971852499,668.9792633056641,0.9910803679300924,45.404638073759884
|
||||
74,2.96,684.8843479156494,1.0146434557145056,692.534294128418,1.0259767091097336,43.53583076012899
|
||||
75,3.0,697.220470905304,1.0329191930684622,726.0034561157227,1.075560651686342,41.73869118574214
|
||||
76,3.04,703.4868621826172,1.0422027354940155,769.2117691040039,1.1395729657937497,39.903701315528394
|
||||
77,3.08,698.5694718360901,1.0349177129212528,820.902214050293,1.2161514010395535,38.45530134641399
|
||||
78,3.12,677.1288156509399,1.0031537785421207,878.5293960571289,1.3015250021043951,36.89559307832798
|
||||
79,3.16,636.2367582321167,0.9425729540905436,938.7217712402344,1.3906988892713597,35.32284601523605
|
||||
80,3.2,579.7148680686951,0.8588368223867526,998.6105346679688,1.4794229812552355,34.80769814845951
|
||||
81,3.24,517.8762817382812,0.7672241039449545,1058.8275146484375,1.5686333199730345,32.61555548812902
|
||||
82,3.28,464.48832750320435,0.6881308401793795,1113.5714721679688,1.6497354774484545,32.501673644155744
|
||||
83,3.32,441.27821803092957,0.6537454935816189,1135.5707931518555,1.682327063362771,31.935499265649355
|
||||
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File diff suppressed because it is too large
Load Diff
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Load Diff
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Load Diff
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After Width: | Height: | Size: 56 KiB |
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|
@ -0,0 +1,10 @@
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|||
version: '3'
|
||||
services:
|
||||
jupyter:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: Dockerfile.local
|
||||
volumes:
|
||||
- ./:/home/jovyan/work/
|
||||
ports:
|
||||
- 8085:8888
|
||||
|
|
@ -0,0 +1 @@
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@ -0,0 +1,7 @@
|
|||
#!/bin/bash
|
||||
mkdir ~/.fonts
|
||||
wget --content-disposition -P ~/.fonts/ \
|
||||
https://github.com/google/fonts/blob/master/apache/roboto/Roboto-Regular.ttf?raw=true \
|
||||
https://s3.sbruder.de/cdn/fonts/Iosevka/iosevka-sbruder/ttf/iosevka-sbruder-regular.ttf
|
||||
fc-cache -f
|
||||
python3 -c 'import matplotlib.font_manager; matplotlib.font_manager._rebuild()'
|
||||
|
|
@ -0,0 +1,4 @@
|
|||
matplotlib
|
||||
numpy
|
||||
pandas
|
||||
scipy
|
||||
Reference in New Issue