fusible.exe problem #5
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try: |
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I think you may need to reorganize the directories for the project, the 'dtu2' directory is supposed to be 'dtu'.
…------------------ 原始邮件 ------------------
发件人: "王亚斌"<notifications@github.com>;
发送时间: 2020年5月25日(星期一) 上午10:07
收件人: "svip-lab/FastMVSNet"<FastMVSNet@noreply.github.com>;
抄送: "孙宇飞"<1289989665@qq.com>; "Author"<author@noreply.github.com>;
主题: Re: [svip-lab/FastMVSNet] fusible.exe problem (#5)
try:
python depthfusion.py -f dtu -n flow2 --eval_folder data/dtu2/Eval/ --fusibile_exe_path FUSIBILE_PATH/fusibile/build/fusibile
but I got zero points……
**** Fusion for scan1 **** filter depth map with probability map Convert mvsnet output to gipuma input Run depth map fusion & filter ../fusibile/build/fusibile -input_folder data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1/ -p_folder data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1/cams/ -images_folder data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1/images/ --depth_min=0.001 --depth_max=100000 --normal_thresh=360 --disp_thresh=0.12 --num_consistent=3 Command-line parameter error: unknown option -input_folder input folder is data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1/ image folder is data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1/images/ p folder is data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1/cams/ pmvs folder is numImages is 49 img_filenames is 49 Device memory used: 313.589752MB Device memory used: 313.589752MB P folder is data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1/cams/ numCameras is 49 Camera size is 49 Accepted intersection angle of central rays is 10.000000 to 30.000000 degrees Selected views: 49 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, Reading normals and depth from disk Size consideredIds is 49 Reading normal 0 Reading disp 0 Reading normal 1 Reading disp 1 Reading normal 2 Reading disp 2 Reading normal 3 Reading disp 3 Reading normal 4 Reading disp 4 Reading normal 5 Reading disp 5 Reading normal 6 Reading disp 6 Reading normal 7 Reading disp 7 Reading normal 8 Reading disp 8 Reading normal 9 Reading disp 9 Reading normal 10 Reading disp 10 Reading normal 11 Reading disp 11 Reading normal 12 Reading disp 12 Reading normal 13 Reading disp 13 Reading normal 14 Reading disp 14 Reading normal 15 Reading disp 15 Reading normal 16 Reading disp 16 Reading normal 17 Reading disp 17 Reading normal 18 Reading disp 18 Reading normal 19 Reading disp 19 Reading normal 20 Reading disp 20 Reading normal 21 Reading disp 21 Reading normal 22 Reading disp 22 Reading normal 23 Reading disp 23 Reading normal 24 Reading disp 24 Reading normal 25 Reading disp 25 Reading normal 26 Reading disp 26 Reading normal 27 Reading disp 27 Reading normal 28 Reading disp 28 Reading normal 29 Reading disp 29 Reading normal 30 Reading disp 30 Reading normal 31 Reading disp 31 Reading normal 32 Reading disp 32 Reading normal 33 Reading disp 33 Reading normal 34 Reading disp 34 Reading normal 35 Reading disp 35 Reading normal 36 Reading disp 36 Reading normal 37 Reading disp 37 Reading normal 38 Reading disp 38 Reading normal 39 Reading disp 39 Reading normal 40 Reading disp 40 Reading normal 41 Reading disp 41 Reading normal 42 Reading disp 42 Reading normal 43 Reading disp 43 Reading normal 44 Reading disp 44 Reading normal 45 Reading disp 45 Reading normal 46 Reading disp 46 Reading normal 47 Reading disp 47 Reading normal 48 Reading disp 48 Resizing globalstate to 49 Run cuda Run gipuma Grid size initrand is grid: 20-15 block: 32-32 Device memory used: 930.152466MB Number of iterations is 8 Blocksize is 15x15 Disparity threshold is 0.120000 Normal threshold is 6.283185 Number of consistent points is 3 Cam scale is 1.000000 Fusing points Processing camera 0 Found 0.00 million points Processing camera 1 Found 0.00 million points Processing camera 2 Found 0.00 million points Processing camera 3 Found 0.00 million points Processing camera 4 Found 0.00 million points Processing camera 5 Found 0.00 million points Processing camera 6 Found 0.00 million points Processing camera 7 Found 0.00 million points Processing camera 8 Found 0.00 million points Processing camera 9 Found 0.00 million points Processing camera 10 Found 0.00 million points Processing camera 11 Found 0.00 million points Processing camera 12 Found 0.00 million points Processing camera 13 Found 0.00 million points Processing camera 14 Found 0.00 million points Processing camera 15 Found 0.00 million points Processing camera 16 Found 0.00 million points Processing camera 17 Found 0.00 million points Processing camera 18 Found 0.00 million points Processing camera 19 Found 0.00 million points Processing camera 20 Found 0.00 million points Processing camera 21 Found 0.00 million points Processing camera 22 Found 0.00 million points Processing camera 23 Found 0.00 million points Processing camera 24 Found 0.00 million points Processing camera 25 Found 0.00 million points Processing camera 26 Found 0.00 million points Processing camera 27 Found 0.00 million points Processing camera 28 Found 0.00 million points Processing camera 29 Found 0.00 million points Processing camera 30 Found 0.00 million points Processing camera 31 Found 0.00 million points Processing camera 32 Found 0.00 million points Processing camera 33 Found 0.00 million points Processing camera 34 Found 0.00 million points Processing camera 35 Found 0.00 million points Processing camera 36 Found 0.00 million points Processing camera 37 Found 0.00 million points Processing camera 38 Found 0.00 million points Processing camera 39 Found 0.00 million points Processing camera 40 Found 0.00 million points Processing camera 41 Found 0.00 million points Processing camera 42 Found 0.00 million points Processing camera 43 Found 0.00 million points Processing camera 44 Found 0.00 million points Processing camera 45 Found 0.00 million points Processing camera 46 Found 0.00 million points Processing camera 47 Found 0.00 million points Processing camera 48 Found 0.00 million points ELAPSED 0.268467 seconds Writing ply file data/dtu2/Eval/dtu/LANCZOS4_3ITER_flow2_ip0.2_fp0.1_d0.12_nc3/scan1//consistencyCheck-20200525-090847//final3d_model.ply store 3D points to ply file
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ghost
closed this as
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I got the answer to the problem. |
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Hello, could you tell me exactly how to solve it?This is very important to me, please |
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Hello, I dont't know how I can get fusible.exe used by the depth_fusion.py. Any advice for me?
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