Inference Time is too high about icnet-tensorflow HOT 6 CLOSED

Hey @Sudhir11292rt , can you tell me how you run the evaluation code? You can refer to this issue #4 first. May you calculate the time including model initialization

from icnet-tensorflow.

Thanks for the response @hellochick. I have looked at the #4 . But still I am getting an 'average inference time: 2.80006708418'. In evaluate.py I have changed

1. DATA_DIRECTORY, DATA_LIST_PATH to point my local cityscapes dataset and cityscapes_val_lists.txt.
   2)I have downloaded your provided 'icnet_cityscapes_train_30k.npy' pretrained weights and correspondingly changed model_train30k.
   Then, ran python evaluate.py --model train --measure-time.

Thanks,
Sudhir

from icnet-tensorflow.

@Sudhir11292rt , can you try inference.py and calculate time ?

for i in range(5):
    start = time.time()
    preds = sess.run(pred)
    print(time.time() - start)

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@hellochick Here is the output for command 'python inference.py --model train --img-path ~/aachen_000087_000019_leftImg8bit.png'
3.84351301193
2.9684278965
3.43640303612
3.59244203568
3.2074649334

I am not sure, if I am making mistake somewhere?

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@Sudhir11292rt , I have no idea for this situation. Did there any warnings occur when you run the code? Such as OutOfMemory, etc.

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Yeah, it seems like its warming issue, ~2s on 1st inference, 0.04 on the second one and others (1080 Ti)

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