Accuracy of the first 20 iterations about c3d-tensorflow HOT 9 OPEN

Step 0: 9.869 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000
Step 1: 2.662 sec
Step 2: 2.699 sec
Step 3: 2.657 sec
Step 4: 2.689 sec
Step 5: 2.695 sec
Step 6: 2.661 sec
Step 7: 2.743 sec
Step 8: 2.775 sec
Step 9: 2.694 sec
Step 10: 2.696 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000
Step 11: 2.688 sec
Step 12: 2.844 sec
Step 13: 2.736 sec
Step 14: 2.777 sec
Step 15: 2.744 sec
Step 16: 2.784 sec
Step 17: 2.730 sec
Step 18: 2.717 sec
Step 19: 2.792 sec
Step 20: 2.677 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:1.000

I think we have the same problem

from c3d-tensorflow.

Try to change your batch_size?

from c3d-tensorflow.

it's 8 at first I changed it to 10 it turns out that the accuracy is still 1.00000
@binhhoangtieu

from c3d-tensorflow.

DId u solve this by changing batch_size?
@binhhoangtieu

from c3d-tensorflow.

Yes, solved with my problem because my accuracy is changed after each iteration. I'm not sure about your case.

from c3d-tensorflow.

Hello @cckenny and @binhhoangtieu ,
I get the similar error. Accuracy is always zero.
I changed the batch size as you said , but it is still 0.
I have just changed some parts of my code as following,
Have any suggestion ?

init = tf.global_variables_initializer()
# Create a saver for writing training checkpoints.
saver = tf.train.Saver(varlist1) # Edit : Add ops to save and restore only varibles without out layer using the name "varlist1"
  

# Create a session for running Ops on the Graph.
sess = tf.Session(
                config=tf.ConfigProto(allow_soft_placement=True)
                )
sess.run(init)
if os.path.isfile(model_filename) and use_pretrained_model:
  saver.restore(sess, model_filename) # EDIT
  print("model is restored")

The output :
.
.
.
Training Data Accuracy: 0.00000
Validation Data Accuracy: 0.00000
Step 2241: 7.663 sec
Training Data Accuracy: 0.00000
Validation Data Accuracy: 0.00000
Step 2242: 7.619 sec
Training Data Accuracy: 0.00000
Validation Data Accuracy: 0.00000
Step 2243: 7.686 sec
Training Data Accuracy: 0.00000
Validation Data Accuracy: 0.00000
Step 2244: 8.781 sec
Training Data Accuracy: 0.00000
Validation Data Accuracy: 0.00000

from c3d-tensorflow.

@cckenny @binhhoangtieu have you solved the problem? I met the same problem with you.
Step 5000: 5.591 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000
Step 5100: 1.235 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000
Step 5200: 1.235 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000

from c3d-tensorflow.

@zeynepgokce : Check your input data and pre-trained model restoration

from c3d-tensorflow.

@cckenny @binhhoangtieu have you solved the problem? I met the same problem with you.
Step 5000: 5.591 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000
Step 5100: 1.235 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000
Step 5200: 1.235 sec
Training Data Eval:
accuracy: 1.00000
Validation Data Eval:
accuracy: 1.00000

Have you solved this problem? I can't settle this

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