PlaneNet
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Issues of evaluate code
Hi , when I run the evaluate.py , There is only " gt" result , no "prediction " result .What code should I modify to get the "prediction" result ! Thanks
I have the same issue, is anyone able to solve it?
@HanochZzhou @bertjiazheng Can you show your gt" results screenshot.? let me help you then.
Hi, @DRAhmadFaraz, I have got the predictions of PlaneNet, but the per-pixel recall seems to be lower than that in the paper. Can you reproduce the evaluation in the paper?
Here are the results Per-Pixel Recall: [0. , 0.11259292, 0.39307635, 0.50202066, 0.53868158, 0.55395703, 0.57877339, 0.57877339, 0.60665465, 0.60665465, 0.60665465, 0.62022231, 0.62022231] Per-Plane Recall: [0. , 0.16, 0.32, 0.36, 0.38, 0.42, 0.46, 0.46, 0.48, 0.48, 0.48, 0.5 , 0.5 ]
I have the same issue.Anyone knows how to fix it?
@bertjiazheng Have you got the prediction result in your 'evaluate folder'? Did you fix your command line to run evaluate.py? Thanks.
@jcliu0428
Run with command line:
python evaluate.py --dataFolder=*** --numImages=760 --methods=2000000 --numOutputPlanes=10
@bertjiazheng Have you change anything in checkpoint.ckpt? When I try your command line,it shows that: InvalidArgumentError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to get matching files on checkpoint/planenet_hybrid3_bl0_dl0_ll1_pb_pp_ps_sm0/checkpoint.ckpt: Not found: checkpoint/planenet_hybrid3_bl0_dl0_ll1_pb_pp_ps_sm0; No such file or directory
@jcliu0428 You don't need to modify anything. Make sure the methods=2000000
, 0
will disable the corresponding method.
@bertjiazheng I modify ALL_METHODS,it also works.Thanks a lot!
Hello, I'm confused about the python evaluate.py
output result
what does this mean?
Emm, where should I find the recall ?
@bertjiazheng @art-programmer Thanks a lot~
Hey, when I run the evaluate.py, I only got the prediction of PlaneNet.
What can I do to get the results of other existing methods ?? @jcliu0428 @bertjiazheng
Why is there no quantitative comparison output when I run evaluate.py?Looking forward to your reply. Thank you!@bertjiazheng
Hi, @DRAhmadFaraz, I have got the predictions of PlaneNet, but the per-pixel recall seems to be lower than that in the paper. Can you reproduce the evaluation in the paper?
Here are the results Per-Pixel Recall: [0. , 0.11259292, 0.39307635, 0.50202066, 0.53868158, 0.55395703, 0.57877339, 0.57877339, 0.60665465, 0.60665465, 0.60665465, 0.62022231, 0.62022231] Per-Plane Recall: [0. , 0.16, 0.32, 0.36, 0.38, 0.42, 0.46, 0.46, 0.48, 0.48, 0.48, 0.5 , 0.5 ]
Hello, when I run python evaluate.py, I do not know what the reason is and do not output quantitative results such as rel, rmse, etc. I hope you take the time to reply to me. Thank you!
Hello, when I run python evaluate.py, I do not know what the reason is and do not output quantitative results such as rel, rmse, etc. I hope you take the time to reply to me. Thank you! @bertjiazheng
Hey, when I run the evaluate.py, I only got the prediction of PlaneNet. What can I do to get the results of other existing methods ?? @jcliu0428 @bertjiazheng
Hello, why do I run the test code: python evaluate.py --dataFolder="./data" --numImages=760 --methods=2000000 --numOutputPlanes=10, there is no quantitative result output (such as rel, rmse, etc.)? Hope you take the time to reply! ! Thank you very much! ! !
@HanochZzhou @bertjiazheng Can you show your gt" results screenshot.? let me help you then. Hello, when I run python evaluate.py, I do not know what the reason is and do not output quantitative results such as rel, rmse, etc. I hope you take the time to reply to me. Thank you!
Hello, I'm confused about the
python evaluate.py
output result what does this mean? Emm, where should I find the recall ? @bertjiazheng @art-programmer Thanks a lot~
Hello, you run the test code: python evaluate.py Is there quantitative output (such as rel, rmse, etc.)? Hope you take the time to reply! ! Thank you very much! ! !
Hi , when I run the evaluate.py , There is only " gt" result , no "prediction " result .What code should I modify to get the "prediction" result ! Thanks
Hello, you run the test code: python evaluate.py Is there quantitative output (such as rel, rmse, etc.)? Hope you take the time to reply! ! Thank you very much! ! !