ret:0.19177981318968568
mtx:
[[4.38761001e+03 0.00000000e+00 6.42641938e+02]
[0.00000000e+00 4.25123549e+03 4.79412323e+02]
[0.00000000e+00 0.00000000e+00 1.00000000e+00]]
dist:
[[6.83250486e-02 4.61333728e+01 1.56333138e-02 6.62979643e-02
2.52906650e-01]]
rvecs:
[array([[-0.07031385],
[-0.29823548],
[-0.02460121]]), array([[-0.07059476],
[-0.2974734 ],
[-0.02466025]]), array([[-0.07099645],
[-0.29740733],
[-0.02462376]]), array([[-0.07114501],
[-0.29730995],
[-0.02462256]]), array([[-0.07056306],
[-0.29804387],
[-0.02460686]]), array([[-0.07120959],
[-0.29730611],
[-0.0246268 ]]), array([[-0.07090768],
[-0.2977965 ],
[-0.02462902]]), array([[-0.07122254],
[-0.29788964],
[-0.02465743]]), array([[-0.07108694],
[-0.29799793],
[-0.02466275]]), array([[-0.07123026],
[-0.29729825],
[-0.02464144]]), array([[-0.07152577],
[-0.29748462],
[-0.02466491]]), array([[-0.07150542],
[-0.29762761],
[-0.02469364]]), array([[-0.07118498],
[-0.29775101],
[-0.02470962]]), array([[-0.07103041],
[-0.29782031],
[-0.02471096]]), array([[-0.07135443],
[-0.29779721],
[-0.02470685]]), array([[-0.06378803],
[-0.26711125],
[-0.02146679]]), array([[-0.06387252],
[-0.26704284],
[-0.0214836 ]]), array([[-0.06384574],
[-0.2675491 ],
[-0.02147726]]), array([[-0.06428615],
[-0.26757479],
[-0.02151562]]), array([[-0.06334739],
[-0.26763101],
[-0.02144026]]), array([[-0.06293082],
[-0.2671036 ],
[-0.02147117]]), array([[-0.06355306],
[-0.26709978],
[-0.02149006]]), array([[-0.06408812],
[-0.26718486],
[-0.02137926]]), array([[-0.06427456],
[-0.26765542],
[-0.02157878]]), array([[-0.06349196],
[-0.267198 ],
[-0.02142771]]), array([[-0.06354474],
[-0.26778596],
[-0.0214318 ]]), array([[-0.06402148],
[-0.26733543],
[-0.02153968]]), array([[-0.06379555],
[-0.26769305],
[-0.02152945]]), array([[-0.064189 ],
[-0.26678034],
[-0.02152991]]), array([[-0.06402446],
[-0.26696445],
[-0.02150069]])]
tvecs:
[array([[ -5.09463147],
[ -5.71483755],
[122.09239631]]), array([[ -5.09556943],
[ -5.71459797],
[122.10841554]]), array([[ -5.09583834],
[ -5.71408924],
[122.09657348]]), array([[ -5.095927 ],
[ -5.71485561],
[122.10567164]]), array([[ -5.09540666],
[ -5.71386527],
[122.07841884]]), array([[ -5.09605838],
[ -5.71467637],
[122.10714428]]), array([[ -5.09478589],
[ -5.71429112],
[122.08859755]]), array([[ -5.09500639],
[ -5.71440851],
[122.08575954]]), array([[ -5.09549086],
[ -5.71451119],
[122.08298879]]), array([[ -5.09558731],
[ -5.7143965 ],
[122.10370857]]), array([[ -5.09508281],
[ -5.71489531],
[122.10020403]]), array([[ -5.09589256],
[ -5.71367375],
[122.07630602]]), array([[ -5.09722517],
[ -5.71501186],
[122.10748955]]), array([[ -5.09683666],
[ -5.71444533],
[122.09679967]]), array([[ -5.0953362 ],
[ -5.71325419],
[122.08174844]]), array([[ -4.94624505],
[ -4.52812773],
[122.39961866]]), array([[ -4.946657 ],
[ -4.52819543],
[122.41580713]]), array([[ -4.94535591],
[ -4.52795744],
[122.38575261]]), array([[ -4.94580514],
[ -4.52810183],
[122.389659 ]]), array([[ -4.94566067],
[ -4.5285177 ],
[122.39206746]]), array([[ -4.94617604],
[ -4.52731896],
[122.41286643]]), array([[ -4.94634142],
[ -4.52832704],
[122.40928154]]), array([[ -4.94582582],
[ -4.52807546],
[122.40103216]]), array([[ -4.94632131],
[ -4.52800621],
[122.39298851]]), array([[ -4.94603287],
[ -4.5287462 ],
[122.40299459]]), array([[ -4.94533247],
[ -4.52730759],
[122.38861156]]), array([[ -4.94587948],
[ -4.52821954],
[122.40124019]]), array([[ -4.94573578],
[ -4.52800927],
[122.39790861]]), array([[ -4.94690054],
[ -4.52773815],
[122.41238725]]), array([[ -4.94626714],
[ -4.52740736],
[122.39773973]])]
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基于双目视觉的目标测距高分项目+源码.zip
共142个文件
bmp:49个
py:38个
jpg:23个
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基于双目视觉的目标测距高分项目+源码.zip (142个子文件)
img_0008.bmp 1.17MB
img_0001.bmp 1.17MB
img_0013.bmp 1.17MB
img_0007.bmp 1.17MB
img_0014.bmp 1.17MB
img_0006.bmp 1.17MB
img_0012.bmp 1.17MB
img_0010.bmp 1.17MB
img_0004.bmp 1.17MB
img_0011.bmp 1.17MB
img_0015.bmp 1.17MB
img_0002.bmp 1.17MB
img_0003.bmp 1.17MB
img_0009.bmp 1.17MB
img_0005.bmp 1.17MB
img_0007.bmp 1.17MB
img_0009.bmp 1.17MB
img_0014.bmp 1.17MB
img_0006.bmp 1.17MB
img_0008.bmp 1.17MB
img_0001.bmp 1.17MB
img_0015.bmp 1.17MB
img_0013.bmp 1.17MB
img_0010.bmp 1.17MB
img_0002.bmp 1.17MB
img_0012.bmp 1.17MB
img_0011.bmp 1.17MB
img_0005.bmp 1.17MB
img_0004.bmp 1.17MB
img_0003.bmp 1.17MB
Images104.bmp 1.17MB
Images176.bmp 1.17MB
Images39.bmp 1.17MB
Images169.bmp 1.17MB
Images878.bmp 1.17MB
Images77.bmp 1.17MB
Images4650.bmp 1.17MB
Images78.bmp 1.17MB
Images289.bmp 1.17MB
Images31.bmp 1.17MB
Images101.bmp 1.17MB
lp.bmp 1.17MB
rp.bmp 1.17MB
Images188.bmp 1.17MB
Images187.bmp 1.17MB
Images168.bmp 1.17MB
p1.bmp 1.17MB
01.bmp 193KB
02.bmp 193KB
MVGigE.dll 1.28MB
MVTickDlg.dll 145KB
MVCamProptySheet.dll 135KB
.DS_Store 10KB
GCap.ico 34KB
demo2.iml 604B
bg.jpg 528KB
calibresultleft.jpg 172KB
image3.jpg 106KB
bg1.JPG 94KB
image4.jpg 90KB
bg2.JPG 87KB
幻灯片1.JPG 86KB
bg3.JPG 82KB
bg4.JPG 82KB
幻灯片2.JPG 78KB
幻灯片4.JPG 74KB
幻灯片3.JPG 73KB
image1.jpg 68KB
background.jpg 45KB
Image_0001.jpg 36KB
Picture1.jpg 35KB
Image_0002.jpg 35KB
image5.jpg 26KB
img1.jpg 23KB
Picture2.jpg 23KB
Picture3.jpg 23KB
image2.jpg 12KB
calibresultright.jpg 0B
tmp.pgm 192KB
软件主界面.png 62KB
img2.png 39KB
btnbg.png 2KB
img.py 2.87MB
testCams.py 26KB
main.py 23KB
testOneCam.py 20KB
SingleGrab.py 19KB
mainmatchwin.py 18KB
mainimagewidget.py 16KB
maincountwin.py 16KB
mainimagewin.py 16KB
MVGigE.py 14KB
mainwindow.py 14KB
test.py 10KB
GigECamera_Types.py 7KB
testCount.py 6KB
testImagePreProcess.py 5KB
Module.py 5KB
openbtn.py 4KB
mainCams.py 4KB
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