Closed pecorarista closed 9 years ago
Maybe should check "-m" parameter in predict_on_images.py.
Thank you @liuchang8am. But I don't understand what you are saying. I don't think predict_on_images.py provides "-m" option.
I understand why I got such a strange result.
I didn't know how vgg_feats.mat
was used and
that filenames in tasks.txt
should have been aligned according to the order of features in that file.
After I wrote filenames in tasks.txt
according to the order of files in dataset.json
,
which I got from here,
neuraltalk generates reasonable sentences for each picture of MS COCO.
Thank you.
I created
coco_sample
directory containing the following files.COCO_val2014_000000463825.jpg
)I ran the following command.
I got an error message as below.
parsed parameters: { "beam_size": 1, "checkpoint_path": "coco_sample/model_checkpoint_coco_visionlab43.stanford.edu_lstm_11.14.p", "root_path": "coco_sample" } loading checkpoint coco_sample/model_checkpoint_coco_visionlab43.stanford.edu_lstm_11.14.p image 0/123287: /home/ec2-user/neuraltalk/imagernn/lstm_generator.py:227: RuntimeWarning: overflow encountered in exp IFOGf[t,:3_d] = 1.0/(1.0+np.exp(-IFOG[t,:3_d])) PRED: (-14.587771) a man and a woman sitting on a bench in the middle of a park image 1/123287: Traceback (most recent call last): File "predict_on_images.py", line 109, in
main(params)
File "predict_on_images.py", line 66, in main
img['local_file_path'] =img_names[n]
IndexError: list index out of range
Isn't it possible to run
predict_on_images.py
on a few images?