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From BoofCV
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- Android benchmark app mainmenu.png 360 × 565; 95 KB
- Android benchmark app options.png 360 × 565; 102 KB
- Android benchmark app speed.png 360 × 565; 28 KB
- Android benchmark app visual.png 730 × 565; 395 KB
- Back table.jpg 960 × 1,080; 133 KB
- Background moving camera.jpg 1,280 × 480; 73 KB
- Background stationary camera.jpg 768 × 288; 44 KB
- Berkeley horses.jpg 481 × 321; 30 KB
- Boof vs opencv corei7 2019.png 752 × 452; 39 KB
- Boof vs opencv odroidXU4 2019.png 752 × 451; 37 KB
- Boof vs opencv rpi3BP 2019.png 752 × 452; 39 KB
- Boofcv applications.png 600 × 628; 65 KB
- Boofcv bug propaganda poster small.jpg 262 × 400; 18 KB
- Boofcv logo 200px.jpg 659 × 200; 27 KB
- Boofcv logo circles frontpage.jpg 732 × 248; 27 KB
- Calib fisheye chessboard.jpg 400 × 406; 54 KB
- Calib mono.jpg 610 × 300; 66 KB
- Calib stereo.jpg 500 × 220; 27 KB
- Calibration A4 chessboard 9x6.png 371 × 526; 3 KB
- Calibration A4 circlegrid.png 371 × 526; 22 KB
- Calibration A4 circlehex.png 371 × 526; 25 KB
- Calibration A4 squaregrid.png 371 × 526; 3 KB
- Calibration app mono.jpg 800 × 315; 58 KB
- Calibration app stereo.jpg 930 × 240; 70 KB
- Calibration letter chessboard 7x5.png 406 × 521; 3 KB
- Calibration letter circlegrid 17x12.png 406 × 521; 25 KB
- Calibration letter circlehex 20x24.png 406 × 521; 24 KB
- Calibration letter squaregrid 5x4.png 406 × 521; 3 KB
- Calibration placement.jpg 880 × 340; 157 KB
- Camera coordinates.png 500 × 553; 186 KB
- Camera model universal diagram.png 525 × 412; 65 KB
- ChessboardCalibrationPicture.jpg 640 × 480; 36 KB
- Color lookup beach.gif 400 × 300; 591 KB
- Color lookup monument.gif 400 × 300; 579 KB
- Confusion matrix.png 526 × 399; 38 KB
- Demonstration launcher.png 702 × 451; 44 KB
- Derivative X.jpg 400 × 330; 28 KB
- Derivative XYX.jpg 400 × 330; 36 KB
- Derivative input.jpg 400 × 330; 25 KB
- Detected black polygons.jpg 400 × 327; 45 KB
- Detected ellipses.jpg 800 × 600; 87 KB
- Detecting fiducial random dots.jpg 800 × 600; 200 KB
- Ecocheck 9x7n1.png 382 × 495; 23 KB
- Equirectangular half dome 01.jpg 800 × 400; 119 KB
- Example Image Segmentation Color.jpg 481 × 321; 30 KB
- Example Image segmentation Lines.jpg 481 × 321; 89 KB
- Example Watershed with Seeds.jpg 638 × 480; 103 KB
- Example android video.jpg 500 × 281; 40 KB
- Example associate point.jpg 744 × 287; 40 KB
- Example aztec code scan.jpg 366 × 359; 52 KB
- Example bicubic eye.jpg 500 × 200; 14 KB
- Example bilinear eye.jpg 500 × 200; 14 KB
- Example binary.png 638 × 476; 27 KB
- Example binary contour.png 638 × 480; 16 KB
- Example binary labeled.png 635 × 476; 18 KB
- Example bundle adjustment.png 600 × 600; 118 KB
- Example calibration pose.jpg 687 × 260; 31 KB
- Example chess calibration points.jpg 640 × 480; 48 KB
- Example color segment yellow.jpg 768 × 323; 119 KB
- Example convert bad.jpg 512 × 512; 100 KB
- Example convert scaled.jpg 512 × 512; 52 KB
- Example convert visualize.jpg 512 × 512; 41 KB
- Example corner points.png 640 × 480; 376 KB
- Example dcf lena.jpg 768 × 256; 67 KB
- Example dense optical flow.gif 640 × 240; 166 KB
- Example detect line.jpg 300 × 248; 19 KB
- Example detect linesegments.jpg 300 × 248; 14 KB
- Example disparity mesh cloudcompare.jpg 701 × 627; 114 KB
- Example disparity smoothing raw.jpg 677 × 478; 76 KB
- Example disparity smoothing speckle.jpg 664 × 497; 69 KB
- Example fiducial image.jpg 600 × 450; 124 KB
- Example fiducial square binary.jpg 640 × 480; 100 KB
- Example fiducial square hamming.jpg 800 × 450; 125 KB
- Example fit ellipse.jpg 638 × 480; 170 KB
- Example fit polygon input.png 512 × 512; 19 KB
- Example fit polygon result.png 512 × 512; 6 KB
- Example image classification.jpg 719 × 395; 107 KB
- Example image enhancement dark edge8.jpg 555 × 416; 97 KB
- Example image enhancement dark global.jpg 570 × 428; 91 KB
- Example image enhancement dark input.jpg 570 × 428; 41 KB
- Example image filter.jpg 512 × 512; 16 KB
- Example image pyramid.png 400 × 219; 8 KB
- Example interestpoint detected.jpg 769 × 324; 48 KB
- Example lena denoise denoised.jpg 300 × 300; 15 KB
- Example lena denoise noisy.jpg 300 × 300; 28 KB
- Example lena gaussian blur.jpg 512 × 512; 24 KB
- Example lena mean blur.jpg 512 × 512; 21 KB
- Example lena median blur.jpg 512 × 512; 25 KB
- Example lenna gaussianblur.jpg 512 × 512; 11 KB
- Example lenna gaussianblur5.jpg 512 × 512; 29 KB
- Example limit random.jpg 512 × 513; 95 KB
- Example limit select n.jpg 512 × 513; 80 KB
- Example limit uniform.jpg 512 × 513; 95 KB
- Example micro qr.jpg 1,024 × 781; 193 KB
- Example mono stereo disparity.jpg 640 × 480; 79 KB
- Example mono stereo features.jpg 1,272 × 480; 190 KB
- Example mono stereo ptcloud.jpg 511 × 367; 37 KB
- Example nearestneighbor eye.png 500 × 200; 8 KB
- Example nonmax intensity.png 512 × 512; 91 KB
- Example nonmax r10.png 512 × 512; 99 KB