Valueerror Cannot Feed Value of Shape for Tensor Uplaceholder Which Has Shape

Thanks for authors' code. When I run train_c3d_ucf101.py to train the network, Error shows that

ValueError: Cannot feed value of shape (10,0) for Tensor u 'Placeholder:0', which has shape '(10,16,112,112,3)'

And this is Traceback

I don't know how to solve this problem, could you tell me?

Comments ( 19 )

+4

I also had this problem, mainly because of address errors of 'train.list' and 'test.list' in train_c3d_ucf101.py, so I solved the problem by removing 'list/' from the original 'filename'. filename='train.list'-------line215 filename='test.list'--------line241

+2

@LiXun95 Let me walk you through one step at a time.

Assuming you have extracted C3D-tensorflow to your Documents directory on a Linux system such us Ubuntu, your full path will become ~/Documents/C3D-tensorflow. Use the Terminal to get to this directory

• Now in the C3D-tensorflow folder at ~/Documents/C3D-tensorflow copy and paste the UCF101 folder here so that you get ~/Documents/C3D-tensorflow/UCF101.

• Navigate to ~/Documents/C3D-tensorflow/list. It has bash files that will not run if you are not logged in as root or using sudo. To overcome this, got to ~/Documents/C3D-tensorflow/list on the terminal and type chmod +x *.sh .

• Open the file ~/Documents/C3D-tensorflow/list/convert_video_to_images.sh" with any text editor. You will notice this expression ( **if (( $(jot -r 1 1 $2) > 1 )); then** ) on line 31 or so . This piece of code will not run properly unless you have jot installed and this is for Linux only, well as far as I know, so I stand to be corrected. To install jot, in your terminal, type sudo apt-get install athena-jot. You can read more about it here. http://www.unixcl.com/2007/12/jot-print-sequential-or-random-data.html

• You are now ready to generate imaged from your videos. In the terminal, still in the list directory as ~/Documents/C3D-tensorflow/list, type ./convert_video_to_images.sh ~/Documents/C3D-tensorflow/UCF101 5. You can find the explanation in the README file.

• You are now ready to generate lists from your images. In the terminal, still in the list directory as ~/Documents/C3D-tensorflow/list, type ./convert_images_to_list.sh ~/Documents/C3D-tensorflow/UCF101 4 You can find the explanation in the README file.

• Now move out of the list directory into the ~/Documents/C3D-tensorflow and run the train_c3d_ucf101.py file. If you use Python 2 you should not have problems, I guess. However, if you use python 3.5+ you my have to work on the range functions. You will have to convert them to list because in python 3+, ranges are not necessarily converted to list. So you have to do **list(range(......))**

I am trying to have that modification done and submitted as a contribution but I am a little time contained now. However, If you ran into some Issues on python 3, please let us know. I will be glad to share my working code with you.

Be sure to also have crop_mean.npy and sports1m_finetuning_ucf101.model files in the ~/Documents/C3D-tensorflow directory if you choose to use the author's codes without modification. Cheers!

+1

same problem. Solved. Do the ./convert_images_to_list.sh inside the list folder …

I also had this problem, mainly because of address errors of 'train.list' and 'test.list' in train_c3d_ucf101.py, so I solved the problem by removing 'list/' from the original 'filename'. filename='train.list'-------line215 filename='test.list'--------line241

Thank you ! It really works!

Hi, @rocksyne could you please tell me how I can use this code for feature extraction?

@Shiny128 Are you training from scratch or you are transfer learning?

Hello, I followed the steps mentioned by @rocksyne , I was able to successfully execute train_C3D_tensorflow.py Thanks a lot But even after 50 iterations , ie 50 steps I'm still getting the accuracy =1.000 @rocksyne Please help me resolve this issue.

Thank You 😃

@Caroline1994 that's odd, they are hosted in drop and baiduyun, should work from anywhere

I cannot email them to you because they are too large for email (~300mb).

I believe this topic has now forked into a different conversation. I suggest you create a new issue.

@JulioEndara I have download it successfully,Thank you very much!

@Caroline1994 it's documented in the readme file… read until the end… it's at the bottom in a table. All the models the author mentions are there. Attached screenshot.

Hi, @JulioEndara Could you tell me where to download ./sports1m_finetuning_ucf101.model?

@Caroline1994 I'm starting to look at this repo so may be wrong here but this is what I think regarding your issue:

• the replacement that @rocksyne sent to you is to allow the code to work with Python3… Inot sure if you were having that issue too regarding lists()
• I believe the issue your are having is that your lists are not generated correctly and pointing to the wrong place. Follow the readme instructions on how to generate the lists (train and test). To confirm you have them right cd to where your train program is and do a check from there one of the entries in your list… for example 'ls ./UCF101/UCF-101/Apply…etc etc… do copy paste from your list… my guess is that you wont find the file

@LiXun95 To download the sports1m_finetuning_ucf101.model got to https://www.dropbox.com/sh/8wcjrcadx4r31ux/AAAkz3dQ706pPO8ZavrztRCca?dl=0

There are two files.

• crop_mean.npy and sports1m_finetuning_ucf101.model

Download and put both in the C3D-tensorflow extracted folder. You really need these! All two!

To help you rectify the problems, download these files of mine (replacefile.zip) and replace the content in C3D-tensorflow

repalacefile.zip

That should solve your problem. It took me a while to figure this out so I am happy to share with you. Cheers!

Thank you very much! @rocksyne First time I run this program with python 3.5, as you said, there are two main errors I met:

1. TypeError: unsupported operand type(s) for +: 'dict_values' and 'dict_values' in line 165 varlist1 = list( set(weights.values() + biases.values()) - set(varlist2) ) and line 197 shows the same error.

2. TypeError: 'range' object does not support item assignment from File "/home/lixun/anaconda3/lib/python3.5/random.py", line 272, in shuffle x[i], x[j] = x[j], x[i]

Then I realize it need python 2, I install Anaconda 2 and try to run this program. From @Qing25 and your help I think I put UCF101 in a wrong place, I will retry it, thank you all!

As you say: I need sports1m_finetuning_ucf101.model in my C3D directory, Should I downloads and put it in the directory first time I train C3D model ?

@LiXun95 Well, I suggest you view the image path yourself by opening train.list. It seems that the path is relative to file train_c3d_ucf101.py, cut your UCF101 and paste it to the right folder. Do not be afraid to try. 😃

Thank you @Qing25 for your answer, Do you mean my UCF101( has converted to images ) is in the wrong folder? Now my UCF101 is in C3D-tensorflow/list/, Should I move it to C3D-tensorflow/?

That was because your program didn't read the images correctly.

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Source: https://lightrun.com/answers/hx173149-c3d-tensorflow-valueerrorcannot-feed-value-of-shape100for-tensor-uplaceholder0

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