Eval runs ok first time but then throw an "ZeroDivisionError: division by zero"

[Tetsujinfr]

hi

I got the eval code to run ok the first time on an image, but then when I try to run it again on the same image or on any other image I get the following error message. Is there some buffer that I need to clean up somewhere between each inference run?

ImageCaptioning.pytorch$ sudo python3 eval.py --model models/fc/model-best.pth --infos_path models/fc/infos_fc-best.pkl --image_folder images/ --num_images 1
Hugginface transformers not installed; please visit https://github.com/huggingface/transformers
meshed-memory-transformer not installed; please run `pip install git+https://github.com/ruotianluo/meshed-memory-transformer.git`
Warning: coco-caption not available
loading annotations into memory...
Done (t=0.78s)
creating index...
index created!
Traceback (most recent call last):
  File "eval.py", line 72, in <module>
    lang_stats = eval_utils.language_eval(opt.input_json, predictions, n_predictions, vars(opt), opt.split)
  File "/media/tetsfr/SSD/ImageCaptioning.pytorch/captioning/utils/eval_utils.py", line 79, in language_eval
    mean_perplexity = sum([_['perplexity'] for _ in preds_filt]) / len(preds_filt)
ZeroDivisionError: division by zero

Same pattern if I change the pre-trained model used for evaluation, it works the first time but then throws this division by zero error all the time. thanks for your help.

[ruotianluo]

This generally means that your image is not in the val set. Note that preds_filt is the filtered preds where the predictions of images not in coco val 2014 will be removed.

[Tetsujinfr]

Ok but why would the inference works the first time I run it? the viz.json file has been created correctly that first time.

[ruotianluo]

I feel confused too. Sorry. I think some other issue mentions this problem too.

[Tetsujinfr]

It s probably something silly somewhere but I am not familiar with the code base so I would have to do quite some digging to identify why I have this behavior starting from the second run onward. I will probably adapt offline your colab notebook rather, it seems it does not exhibit this behavior. Will let you know if I find the root cause.

Thanks for this great work btw, really cool project

[Tetsujinfr]

Ok so I quickly replicated your colab notebook on my machine locally in a jupyter notebook and it works just fine. I ll try to tweak it further. Obviously this is just the inference part so if folks wants the training part too they need to stick with the full repo code base. I close this for now, I think this one time inference only works situation is maybe specific to my setup.

[HN123-123]

I had the same problem when i do evaluation, it works the first time but then throws this division by zero error all the time. Have you found a solution to this problem??? thanks for your help.

[IrvingF7]

It's happening on my end as well. Every pretrained resnet model can only run once and after that eval.py would throw the zero division error

[ruotianluo]

tell me if the solution in https://github.com/ruotianluo/ImageCaptioning.pytorch/issues/100 fix it.

If so, I will push a bug fix.

[IrvingF7]

wow thanks for the quick reply! I tried that one but it doesn't seem to fix the problem. The code looks like this but I don't know if that's what you intend it to be!

            if self.wrap:
                if len(self._index_list) == 0:
                    return None
                wrapped = True
            else:

[ruotianluo]

Sorry, the fix in #100 is already there. Interesting, are you using the master?

[ruotianluo]

Do you want to turn --language_eval to 0?

[IrvingF7]

Yes I am using the master. I will try that! Give me a sec. Oh and btw the code I posted is after I added the fix in #100 manually. It wasn't there when I download the master

[ruotianluo]

remove what I asked you to add. That was wrong.

[IrvingF7]

Sorry this may sound a bit silly but by --language_eval do you mean pass it in to eval.py as an argument? But I think eval.py doesn't have this argument option. It has --only_lang_eval and its default is 0. Thanks for being patient!

[ruotianluo]

I am in the middle of something, but I believe language_eval is an argument, would you mind try it?

[IrvingF7]

Yeah I already tried that but eval.py still gives the same error. Here is the command I used:

python tools/eval.py --model new_self/model-best.pth --infos_path new_self/infos_fc_nsc-best.pkl --image_folder images/ --num_images 1 --language_eval 0

I am on python 3.7.8, pyTorch 1.6 and Windows 10 if these info help. I finished all the setup process including what's mentioned in data/README.md. (I downloaded the cocotalk_att.tar and cocotalk_fc.tar and put them in the designated folder) Another thing is since I am on Windows I ran into some problems with the script you provided for Stanford coreNLP and google's word2vec. So I manually download them.

[ruotianluo]

Can you show the full error traceback?

[IrvingF7]

loading annotations into memory...
0:00:00.284238
creating index...
index created!
Traceback (most recent call last):
  File "tools/eval.py", line 74, in <module>
    lang_stats = eval_utils.language_eval(opt.input_json, predictions, n_predict
ions, vars(opt), opt.split)
  File "d:\workspace\video-mem\imagecaptioning.pytorch\captioning\utils\eval_uti
ls.py", line 79, in language_eval
    mean_perplexity = sum([_['perplexity'] for _ in preds_filt]) / len(preds_fil
t)
ZeroDivisionError: division by zero

[ruotianluo]

Replace line 74,75 with if opt.dump_json == 1:

dump the json

json.dump(predictions, open('vis/vis.json', 'w'))

[IrvingF7]

Thanks for the fix. Now it can produce the json file but the content of the json file is always the same no matter how I change what's in image_folder Also it seems like it can only read one picture even if I specify num_images to other number.

[ruotianluo]

add --force

[IrvingF7]

Ah it works! Thanks for all the help. There are some inaccuracies with the captioning but I guess it's due to the model I am using. I will play with it for a bit, and thanks for the project and being so helpful. It's really cool

[gfiameni]

Hi all, I am having the same problem. Tried the proposed fix without success. Which folder do you make the image_folder option point to? I suppose the test2014.

[MECHA-DOODLIE]

Hey, I have the same problem my JSON file shows the same captions no matter the images. I used --force as you said but it returned with the following error: /ImageCaptioning.pytorch$ python3 tools/eval.py --force 1 --num_images -1 Number of predictions before filtering: 10 DataLoaderRaw loading images from folder: blah 57 reading from /home/csio/ImageCaptioning.pytorch/data/dataset_coco.json DataLoaderRaw found 123287 images Traceback (most recent call last): File "tools/eval.py", line 126, in <module> loss, split_predictions, lang_stats = eval_utils.eval_split(model, crit, loader, File "/home/csio/ImageCaptioning.pytorch/captioning/utils/eval_utils.py", line 158, in eval_split data = loader.get_batch(split) File "/home/csio/ImageCaptioning.pytorch/captioning/data/dataloaderraw.py", line 107, in get_batch img = skimage.io.imread(self.files[ri]) File "/home/csio/.local/lib/python3.8/site-packages/skimage/io/_io.py", line 53, in imread img = call_plugin('imread', fname, plugin=plugin, **plugin_args) File "/home/csio/.local/lib/python3.8/site-packages/skimage/io/manage_plugins.py", line 205, in call_plugin return func(*args, **kwargs) File "/home/csio/.local/lib/python3.8/site-packages/skimage/io/_plugins/imageio_plugin.py", line 11, in imread out = np.asarray(imageio_imread(*args, **kwargs)) File "/home/csio/.local/lib/python3.8/site-packages/imageio/v3.py", line 53, in imread with imopen(uri, "r", **plugin_kwargs) as img_file: File "/home/csio/.local/lib/python3.8/site-packages/imageio/core/imopen.py", line 113, in imopen request = Request(uri, io_mode, format_hint=format_hint, extension=extension) File "/home/csio/.local/lib/python3.8/site-packages/imageio/core/request.py", line 247, in __init__ self._parse_uri(uri) File "/home/csio/.local/lib/python3.8/site-packages/imageio/core/request.py", line 407, in _parse_uri raise FileNotFoundError("No such file: '%s'" % fn) FileNotFoundError: No such file:'/home/csio/ImageCaptioning.pytorch/blah/COCO_val2014_000000391895.jpg'` this needs the COCO val 2014 but I want to evaluate my own dataset. can you please help? Thanks