Thanks for your such excellent work.I'm going to use the architectures of your model for scene segmentation on our data set.
I got some questions about own data sets semantic segmentation task，
When the model is being trained, it always gets the “Floating point exception(core dumped) ”and exits.
Dear author,
Thanks for your such excellent work.I'm going to use the architectures of your model for scene segmentation on our data set.
I got some questions about own data sets semantic segmentation task， When the model is being trained, it always gets the “Floating point exception(core dumped) ”and exits.
I hope the author can help me solve this problem.
e001-i0405 => L=0.507 acc= 77% / t(ms): 174.8 206.6 652.3) e001-i0415 => L=0.172 acc= 94% / t(ms): 175.0 197.6 634.6) e001-i0424 => L=0.280 acc= 88% / t(ms): 178.0 212.6 663.4) e001-i0433 => L=0.243 acc= 89% / t(ms): 184.6 238.5 742.1) e001-i0444 => L=0.508 acc= 81% / t(ms): 169.0 214.4 669.0) e001-i0455 => L=0.155 acc= 98% / t(ms): 167.2 200.8 623.6) e001-i0465 => L=0.289 acc= 87% / t(ms): 174.1 184.1 700.1) e001-i0476 => L=0.252 acc= 92% / t(ms): 180.9 223.2 689.1) e001-i0486 => L=0.187 acc= 94% / t(ms): 183.3 229.4 702.4) e001-i0496 => L=0.408 acc= 84% / t(ms): 177.2 194.4 725.5) Validation : 6.0% (timings : 93.59 91.53) Validation : 12.5% (timings : 154.77 138.18) Validation : 19.5% (timings : 167.47 157.46) Validation : 26.5% (timings : 173.43 170.19) Validation : 33.0% (timings : 180.49 182.67) Validation : 40.0% (timings : 188.73 183.80) Validation : 46.0% (timings : 199.89 195.97) Validation : 53.0% (timings : 193.20 194.36) Validation : 59.5% (timings : 196.38 194.34) Validation : 67.0% (timings : 190.50 174.29) Validation : 73.5% (timings : 189.48 186.74) Validation : 80.5% (timings : 184.58 190.03) Floating point exception(core dumped)
Best Wishes, q-i-zhang