Open Devadattaprasad opened 5 years ago
I think I now what the problem is. You can try to change this and the following line to use MultiThreadIterator or SerialIterator.
I also had this problem on some machines and datasets, something seems not to be right in the interprocess communication.
@Bartzi , Thank You. After changing code "chainer.iterators.MultiprocessIterator" to 'chainer.iterators.MultithreadIterator' , above issue got resolved.
I want prepare my own character map. Kindly let me know the process of creating my own "character_map".
Thank you in advance. :-)
Creating a new character_map is actually quite easy. Have a look at this comment. There I explain the idea behind the char map. This should give you all information you need to create a char map on your own =)
Thank you, Bartzi, for quick reply.
I have few doubt, When, I am running a evaluation for fsns.
Expected Result 4 bounding box and the predicted word.
But I got 4 bounding box, for 3 box drawn on words and 1 bounding box is overlapping on 3rd box. Predicted 3 words. But as there are more than 3 words are in the image.
What is the reason for limiting TimeStamp between 1 to 6, if I define TimeStamp with value more the 6 it will throw error as shown below
I want to understand ,weather localization will be done for complete image or in specific part of the image. As in the above result. There are more that 3 words, but it only predicted 3 words, which are in specific part and ignored remaining words
Assume, In real word scenario. we do not know how many words in the scene, How will you counter such scenarios.
What if the Scene does not have any text at all.
Please correct me, if my understanding is wrong.
Alright,
Hi Bartzi,
I want to run the train_svhn.py, I have prepared the data set as per the instruction given in Read me file for running train_svhn.py. As per #20 , because of alignment issue in gt file , training is not running. I made necessary changes in the gt file shown below![here](https://user-images.githubusercontent.com/42034076/45887873-54eae300-bdda-11e8-98b2-cff6461a8744.png)
I tried with train both the train_svhn.py and train_fsns.py, It remain in 1st iteration ( screenshot for reference)![screenshot](https://user-images.githubusercontent.com/42034076/45888048-ba3ed400-bdda-11e8-8745-265b9e75c59f.png)
I am not able to understanding, Why training is not continuing.
Argument list for reference![image](https://user-images.githubusercontent.com/42034076/45888238-35a08580-bddb-11e8-81c4-252790c3e5c7.png)
Kindly help me to resolve the issue. Thanks in advance