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data_loader self.num_total_samples = 0 #5
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Second, I intend to train the model, however, it showed that : |
Is your data loaded correctly into the code or are there any warnings there? Also, does your "outputs" folder exist? Otherwise, the network may not be able to create the "trimodal_gen.pth.tar" folder. |
Following up on the "trimodal_gen.pth.tar" not found error, we do have the trained weights available. However, we do not own the code for generating these weights and the results should be verified with the original source. |
Greetings, I still have this same problem of self.num_total_samples=0, as well as train, eval and test samples are all equal to zero. The on;y waring I get when trying to run the model so far is "Warning : |
Are the folders |
Hello: i did followed your suggest,however, it got an other error: |
Those files are generated at the "ted_db" folder, but each has a size of around 16kb (the whole folder with including data and lock.mdb). Granted, I only have 50GB of free space in the hard drive, although at the first run it was complaining as I had only 40GB so I increased that to 50GB and the code ran properly after that till I ran into this problem. So what is the needed freespace for the model to run properly without problem? I was hoping to use the pre-trained model as I didn't need to retrain the model and would like to use the inference directly for output. However, there is no command line for |
I have debugged some cmd line argument issues to make sure the code does not require the full training data to be loaded if you just want to test the network. However, you still need to have the |
I am actually unable to replicate this error as my |
Okay I will try the model again tomorrow, and see if I can get it to run the inference without having to retrain it. Will keep you updated with my results, and if there are still any issues. |
May I suggest that you describe the installation, configuration and running process in more detail, such as which directory is the downloaded dataset placed, how to configure the running parameters, etc.? Thank you! |
The running parameters are straightforward and available easily from the command-line argument descriptors as well as the main paper. The readme already contains details on where each downloaded should be placed, I will add in more details based on the issues that are being raised and resolved. Meanwhile, let me know if your current issue is resolved. |
hi, I have downloaded the "The Trinity Gesture dataset" , however, it contained many files, which one should I load? |
Hello, I recloned all the project again, modified the basepath. created data folder, and put the What`s that problem? |
I have try many times, however, it showed some weird problems. May I recommend that you could clone your project in another place and try to fix the bug? |
Let me look into these errors for you. These errors seem a bit unusual and I don't recall coming across them myself. Might be a case of version mismatches or some missing files, but I will try to replicate your errors and update the repo and readme accordingly. It might take some time though. |
Thank you!! :) |
Hi, it turns out that some of the packages were deprecated without compatibility since we released our code. As a result, preprocessing the data and later running training/inference needs you to have different versions of basic packages such as numpy installed. This requires strict versioning and modulation of our codebase that are beyond our scope at the moment. To circumnavigate the issue, I am uploading the preprocessed dataset in a single folder that you can download and directly use for training/inference. Please keep the entire contents of the download in the folder |
Also, I am closing this issue at it seems more general than the original title suggests. Please pose any follow-up in issue #7. |
Hi,
In processor_v2.py, I found that the self.num_total_samples = 0, I try to debug and show that the variation n_samples in self.data_loader['train_data_s2ag']/[eval_data_s2ag]/[test_data_s2ag] is zero. what`s that problem?
Thanks!
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