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Python or C predict scripts? #74
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With python, you can using this script |
Thanks @ThienAnh. That was helpful. |
@ThienAnh
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See your issue in |
@ThienAnh |
@YaoXinatTHU you are wellcome |
@ThienAnh Hi ThienAnh, do you happen to have the prediction code for c ?? :-) Will appreciate your response. Thank you so much!! Anyone who has a copy of a c prediction code can also response by helping me. |
@pewpewpeww I will share c code tonight. (Now i had out of office) |
@pewpewpeww This is code predict sample in c |
@ThienAnh Thank you very much for your help!! :-) I referred to the code and realised that it requires a Utility.h file to run. Do you have it too?
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@ThienAnh How the C inference speed on CPU? |
@pewpewpeww Utility.h only common funtions for read image, convert string2char. You can ignore it. @jinfagang I don't test on CPU. (So i think it is very low) |
@ThienAnh Thank you so much. The code predict sample in c works. When i use the function called "predict" , I got a error "Check failed: error == cudaSuccess (2 vs. 0) out of memory" .I know it means my gpu memory may be small (about 11GB) . So i was thinking is there some key words like "batch_size" which i could modified. By the way , I use test prototxt file "pspnet101_cityscapes_713.prototxt" ,but there isn't "batch_size" or something like that .Do you have any idea? Any way , thank you ,thank you,thank you . |
@cobbwho default of batch_size is 1. Because if batch_size>1 --> Will be out of memory. |
@jinfagang I test a image about 473*473. GPU version use about 0.4s . CPU version use about 6.5s. It's too slow. |
@ThienAnh thank you .emmmm,I'm so sorry that the problem about "out of memory" I mentioned is a mistake . "batch_size" only happened in trainning progress., but the probleam hanppened in my prediction progress. I modified the input size from 713 to 473 ,and it's work. Any way ,thank you . I noticed another issue#75 about the predict result is wrong result . I have the same problem as you. I read the prediction code you uploaded called "PredictSample.zip" and I think It's right ,but the result is wrong too. At least the result is correct before forward delivery. But after a forward pass, the output data is 0 in output_layer. Seriously, I don't know why. Did you get the right result now? |
Hi, is there python or C scripts available?
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