Open mayang1 opened 5 years ago
Hi! Could you provide some samples in your ground truth file and the prediction file? You need to replace the urls of the ground truth and prediction with your own files in pytasas_words.py. Have a try!
yes , it is right,but the result is above
when i run python3 pytasas_words.py 40 no i have the error: htrsh.inc.sh: error: required run_parallel.inc.sh not found in path htrsh.inc.sh: error: required run_parallel.inc.sh not found in path ./tasas_cer.sh: line 3: htrsh_prep_tasas: command not found ./tasas_cer.sh: line 3: htrsh_prep_tasas: command not found
can you help me , thank you very much
I have modified htrsh.inc.sh so that it also works if run_parallel.inc.sh is in the same directory as htrsh.inc.sh but not in the path. @mayang1 please pull the changes and try again.
I just tested the new code and I have successfully completed the WER calculation. Thank you for your sharing and help. Thank you again.
valid_predict_serq.8.log
e04-068-00-03,171 incuuded f01-053-06-06,162 wocabuetry b03-109-05-07,191 - b06-053-01-06,184 practice c06-043-00-03,177 an e04-062-07-09,166 one r06-126-03-05,185 helped c06-020-03-06,182 untertien
ground_truth.thresh
n02-000-00-00,177 DARKNESS n02-000-00-01,177 had n02-000-00-02,177 descended n02-000-00-03,177 like n02-000-00-04,177 a I want to know if I have to consider the inconsistency of the data order when calculating WER.
cer_valid .log
0.56144434 0.3129064 0.21466828 0.16654824999999998 0.13386255 0.11146773 0.09625288 0.0844089 0.07435356 0.06895859 0.060859079999999996 0.05581309 0.051558719999999995 0.0470168 0.04370005
but in you artical " Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition." the best result Valid_CER is 5.01
hello, in order to Calculating the CER , i run ''python3 pytasas_words.py 1000 si'',the result as follow :
can you help me to solve the problem
thank you