r/OpenScan
OpenScan
en
Welcome! This is all about photogrammetry in general and the OpenScan.eu 3D Scanners in particular . Feel free to share your projects (3D scanning related) and ask any questions. If you want to support the development of OpenScan, feel free to buy me a coffee or two at https://www.buymeacoffee.com/OpenScan Thank you :)
Diy 3d scanner
5,080
November 25, 2019
public
all_ads
Total Submissions
490
Total Comments
2,186
Earliest Submission
November 25, 2019
Earliest Comment
February 3, 2020
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 61 | 26,939 | 1845.7 | 0.2 | 8216.73 | |
| #2 | 33 | 124,637 | 998.5 | 1.0 | 960.77 | |
| #3 | 34 | 160,174 | 1028.8 | 1.3 | 770.26 | |
| #4 | 61 | 412,450 | 1845.7 | 3.4 | 536.67 | |
| #5 | 56 | 423,721 | 1694.5 | 3.5 | 479.58 | |
| #6 | 44 | 400,704 | 1331.4 | 3.3 | 398.46 | |
| #7 | 33 | 424,758 | 998.5 | 3.5 | 281.92 | |
| #8 | 32 | 510,884 | 968.3 | 4.3 | 227.29 | |
| #9 | 109 | 1,864,033 | 3298.1 | 15.5 | 212.19 | |
| #10 | 50 | 895,196 | 1512.9 | 7.5 | 202.68 | |
| #11 | 131 | 3,027,845 | 3963.8 | 25.2 | 157.00 | |
| #12 | 144 | 5,093,507 | 4357.2 | 42.5 | 102.59 | |
| #13 | 44 | 1,773,739 | 1331.4 | 14.8 | 90.01 | |
| #14 | 38 | 2,569,083 | 1149.8 | 21.4 | 53.67 | |
| #15 | 108 | 7,326,930 | 3267.9 | 61.1 | 53.49 | |
| #16 | 53 | 3,652,541 | 1603.7 | 30.5 | 52.65 | |
| #17 | 90 | 6,773,826 | 2723.2 | 56.5 | 48.21 | |
| #18 | 38 | 3,016,909 | 1149.8 | 25.2 | 45.71 | |
| #19 | 35 | 3,244,322 | 1059.0 | 27.1 | 39.15 | |
| #20 | 31 | 3,051,537 | 938.0 | 25.4 | 36.86 | |
| #21 | 36 | 3,573,754 | 1089.3 | 29.8 | 36.55 | |
| #22 | 30 | 3,057,151 | 907.7 | 25.5 | 35.61 | |
| #23 | 47 | 5,900,744 | 1422.1 | 49.2 | 28.90 | |
| #24 | 38 | 6,306,097 | 1149.8 | 52.6 | 21.87 | |
| #25 | 44 | 7,750,568 | 1331.4 | 64.6 | 20.60 | |
| #26 | 54 | 9,624,849 | 1633.9 | 80.3 | 20.36 | |
| #27 | 49 | 10,756,143 | 1482.6 | 89.7 | 16.53 | |
| #28 | 32 | 7,515,994 | 968.3 | 62.7 | 15.45 | |
| #29 | 58 | 16,133,977 | 1755.0 | 134.5 | 13.04 | |
| #30 | 45 | 12,716,096 | 1361.6 | 106.0 | 12.84 | |
| #31 | 38 | 12,367,578 | 1149.8 | 103.1 | 11.15 | |
| #32 | 54 | 19,006,914 | 1633.9 | 158.5 | 10.31 | |
| #33 | 47 | 20,846,454 | 1422.1 | 173.8 | 8.18 | |
| #34 | 37 | 16,965,764 | 1119.5 | 141.5 | 7.91 | |
| #35 | 41 | 22,377,202 | 1240.6 | 186.6 | 6.65 | |
| #36 | 37 | 22,170,941 | 1119.5 | 184.9 | 6.06 | |
| #37 | 49 | 31,342,870 | 1482.6 | 261.4 | 5.67 | |
| #38 | 50 | 34,049,194 | 1512.9 | 283.9 | 5.33 | |
| #39 | 38 | 25,983,398 | 1149.8 | 216.7 | 5.31 | |
| #40 | 44 | 34,778,447 | 1331.4 | 290.0 | 4.59 | |
| #41 | 49 | 39,437,739 | 1482.6 | 328.9 | 4.51 | |
| #42 | 37 | 29,983,341 | 1119.5 | 250.0 | 4.48 | |
| #43 | 31 | 25,600,257 | 938.0 | 213.5 | 4.39 | |
| #44 | 42 | 37,662,904 | 1270.8 | 314.1 | 4.05 | |
| #45 | 58 | 55,123,323 | 1755.0 | 459.6 | 3.82 | |
| #46 | 101 | 121,949,860 | 3056.1 | 1016.9 | 3.01 | |
| #47 | 57 | 73,246,117 | 1724.7 | 610.8 | 2.82 | |
| #48 | 57 | 75,598,815 | 1724.7 | 630.4 | 2.74 | |
| #49 | 30 | 40,752,676 | 907.7 | 339.8 | 2.67 | |
| #50 | 78 | 107,714,499 | 2360.1 | 898.2 | 2.63 |