Hello Fabiocarrara, thank you for providing this project for everyone to try. At present, I have encountered a problem. I have an error after executing pklot.py. I also have this problem in main.py.
I also found debug information in the log, did not see any errors, only matplotlib will have a debug when just executed, how can this be solved?
matplotlib version 2.2.3
DEBUG 2019-02-11 00:28:43: CACHEDIR=/home/user/.cache/matplotlib
DEBUG 2019-02-11 00:28:43: Using fontManager instance from /home/user/.cache/matplotlib/fontList.json
DEBUG 2019-02-11 00:28:45: backend TkAgg version unknown
INFO 2019-02-11 00:28:45: Setting up mAlexNet trained on PKLot_UFPR05_train, validated on PKLot_UFPR04_train, PKLot_UFPR05_train, PKLot_PUC_train, tested on PKLot_UFPR04_test_PKLot_UFPR05_test_PKLot_PUC_test ...
INFO 2019-02-11 00:28:48: Training on PKLot_UFPR05_train while validating on PKLot_UFPR04_train, PKLot_UFPR05_train, PKLot_PUC_train ...
I0211 07:58:45.212375 2009 sgd_solver.cpp:112] Iteration 26166, lr = 0.0025
I0211 07:59:24.925103 2009 solver.cpp:239] Iteration 26215 (1.23388 iter/s, 39.712s/49 iters), loss = 0.00707085
I0211 07:59:24.925237 2009 solver.cpp:258] Train net output #0: loss = 0.00173975 (* 1 = 0.00173975 loss)
I0211 07:59:24.925256 2009 sgd_solver.cpp:112] Iteration 26215, lr = 0.0025
I0211 08:00:04.641950 2009 solver.cpp:239] Iteration 26264 (1.23376 iter/s, 39.716s/49 iters), loss = 0.00808991
I0211 08:00:04.642046 2009 solver.cpp:258] Train net output #0: loss = 0.000425289 (* 1 = 0.000425289 loss)
I0211 08:00:04.642061 2009 sgd_solver.cpp:112] Iteration 26264, lr = 0.0025
I0211 08:00:44.350703 2009 solver.cpp:239] Iteration 26313 (1.23401 iter/s, 39.708s/49 iters), loss = 0.00666064
I0211 08:00:44.350908 2009 solver.cpp:258] Train net output #0: loss = 0.00237676 (* 1 = 0.00237676 loss)
I0211 08:00:44.350924 2009 sgd_solver.cpp:112] Iteration 26313, lr = 0.0025
I0211 08:01:24.058185 2009 solver.cpp:239] Iteration 26362 (1.23404 iter/s, 39.707s/49 iters), loss = 0.008896
I0211 08:01:24.058348 2009 solver.cpp:258] Train net output #0: loss = 0.00142862 (* 1 = 0.00142862 loss)
I0211 08:01:24.058367 2009 sgd_solver.cpp:112] Iteration 26362, lr = 0.0025
I0211 08:02:03.743736 2009 solver.cpp:239] Iteration 26411 (1.23472 iter/s, 39.685s/49 iters), loss = 0.003344
I0211 08:02:03.743832 2009 solver.cpp:258] Train net output #0: loss = 0.000362561 (* 1 = 0.000362561 loss)
I0211 08:02:03.743847 2009 sgd_solver.cpp:112] Iteration 26411, lr = 0.0025
I0211 08:02:14.302935 2009 solver.cpp:464] Snapshotting to binary proto file snapshots/snapshot_iter_26425.caffemodel
I0211 08:02:14.303773 2009 sgd_solver.cpp:284] Snapshotting solver state to binary proto file snapshots/snapshot_iter_26425.solverstate
I0211 08:02:14.304250 2009 solver.cpp:332] Optimization Done.
I0211 08:02:14.304262 2009 caffe.cpp:250] Optimization Done.
DEBUG 2019-02-11 08:02:14: Summarizing mAlexNet-tr_PKLot_UFPR05_train-vl_PKLot_UFPR04_train_PKLot_UFPR05_train_PKLot_PUC_train-ts_PKLot_UFPR04_test_PKLot_UFPR05_test_PKLot_PUC_test ...
Traceback (most recent call last):
File "pklot.py", line 38, in
pyffe.summarize(exps).to_csv('pklot_results.csv')
File "/home/user/deep-parking-master/deep-parking-master/pyffe/experiment.py", line 84, in summarize
r = e.summarize()
File "/home/user/deep-parking-master/deep-parking-master/pyffe/experiment.py", line 42, in decorator
return function(*args, **kwargs)
File "/home/user/deep-parking-master/deep-parking-master/pyffe/experiment.py", line 548, in summarize
last_iter = log_data['train']['iteration'][-1]
IndexError: list index out of range
Thank you
Hello Fabiocarrara, thank you for providing this project for everyone to try. At present, I have encountered a problem. I have an error after executing pklot.py. I also have this problem in main.py.
I also found debug information in the log, did not see any errors, only matplotlib will have a debug when just executed, how can this be solved?
matplotlib version 2.2.3
DEBUG 2019-02-11 00:28:43: CACHEDIR=/home/user/.cache/matplotlib
DEBUG 2019-02-11 00:28:43: Using fontManager instance from /home/user/.cache/matplotlib/fontList.json
DEBUG 2019-02-11 00:28:45: backend TkAgg version unknown
INFO 2019-02-11 00:28:45: Setting up mAlexNet trained on PKLot_UFPR05_train, validated on PKLot_UFPR04_train, PKLot_UFPR05_train, PKLot_PUC_train, tested on PKLot_UFPR04_test_PKLot_UFPR05_test_PKLot_PUC_test ...
INFO 2019-02-11 00:28:48: Training on PKLot_UFPR05_train while validating on PKLot_UFPR04_train, PKLot_UFPR05_train, PKLot_PUC_train ...
I0211 07:58:45.212375 2009 sgd_solver.cpp:112] Iteration 26166, lr = 0.0025
I0211 07:59:24.925103 2009 solver.cpp:239] Iteration 26215 (1.23388 iter/s, 39.712s/49 iters), loss = 0.00707085
I0211 07:59:24.925237 2009 solver.cpp:258] Train net output #0: loss = 0.00173975 (* 1 = 0.00173975 loss)
I0211 07:59:24.925256 2009 sgd_solver.cpp:112] Iteration 26215, lr = 0.0025
I0211 08:00:04.641950 2009 solver.cpp:239] Iteration 26264 (1.23376 iter/s, 39.716s/49 iters), loss = 0.00808991
I0211 08:00:04.642046 2009 solver.cpp:258] Train net output #0: loss = 0.000425289 (* 1 = 0.000425289 loss)
I0211 08:00:04.642061 2009 sgd_solver.cpp:112] Iteration 26264, lr = 0.0025
I0211 08:00:44.350703 2009 solver.cpp:239] Iteration 26313 (1.23401 iter/s, 39.708s/49 iters), loss = 0.00666064
I0211 08:00:44.350908 2009 solver.cpp:258] Train net output #0: loss = 0.00237676 (* 1 = 0.00237676 loss)
I0211 08:00:44.350924 2009 sgd_solver.cpp:112] Iteration 26313, lr = 0.0025
I0211 08:01:24.058185 2009 solver.cpp:239] Iteration 26362 (1.23404 iter/s, 39.707s/49 iters), loss = 0.008896
I0211 08:01:24.058348 2009 solver.cpp:258] Train net output #0: loss = 0.00142862 (* 1 = 0.00142862 loss)
I0211 08:01:24.058367 2009 sgd_solver.cpp:112] Iteration 26362, lr = 0.0025
I0211 08:02:03.743736 2009 solver.cpp:239] Iteration 26411 (1.23472 iter/s, 39.685s/49 iters), loss = 0.003344
I0211 08:02:03.743832 2009 solver.cpp:258] Train net output #0: loss = 0.000362561 (* 1 = 0.000362561 loss)
I0211 08:02:03.743847 2009 sgd_solver.cpp:112] Iteration 26411, lr = 0.0025
I0211 08:02:14.302935 2009 solver.cpp:464] Snapshotting to binary proto file snapshots/snapshot_iter_26425.caffemodel
I0211 08:02:14.303773 2009 sgd_solver.cpp:284] Snapshotting solver state to binary proto file snapshots/snapshot_iter_26425.solverstate
I0211 08:02:14.304250 2009 solver.cpp:332] Optimization Done.
I0211 08:02:14.304262 2009 caffe.cpp:250] Optimization Done.
DEBUG 2019-02-11 08:02:14: Summarizing mAlexNet-tr_PKLot_UFPR05_train-vl_PKLot_UFPR04_train_PKLot_UFPR05_train_PKLot_PUC_train-ts_PKLot_UFPR04_test_PKLot_UFPR05_test_PKLot_PUC_test ...
Traceback (most recent call last):
File "pklot.py", line 38, in
pyffe.summarize(exps).to_csv('pklot_results.csv')
File "/home/user/deep-parking-master/deep-parking-master/pyffe/experiment.py", line 84, in summarize
r = e.summarize()
File "/home/user/deep-parking-master/deep-parking-master/pyffe/experiment.py", line 42, in decorator
return function(*args, **kwargs)
File "/home/user/deep-parking-master/deep-parking-master/pyffe/experiment.py", line 548, in summarize
last_iter = log_data['train']['iteration'][-1]
IndexError: list index out of range
Thank you