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thomasneff / Generative-Adversarial-Network-based-Synthesis-for-Supervised-Medical-Image-Segmentation

Code for the paper 'Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation'
MIT License
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Problem while parsing the training data #4

Closed Srijita173 closed 6 years ago

Srijita173 commented 6 years ago 
 [[Node: shuffle_batch = QueueDequeueManyV2[component_types=[DT_FLOAT, DT_FLOAT], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](shuffle_batch/random_shuffle_queue, shuffle_batch/n)]]

I have tried changing the paths respectively

idlist_img_name = "list_of_img_ids.txt" idlist_seg_name = "list_of_seg_ids.txt" img_folder_path = "/home/nikhitha/Srijita_work/GAN/image_folder/images" seg_folder_path = "/home/nikhitha/Srijita_work/GAN/segmentation_folder/masks"

the text files are kept in the folder GAN where the train.py file is also kept.

list_of_img_ids.txt is written in the following way

1.png 2.png 3.png 4.png 5.png 6.png 7.png 8.png

... ....

Can you please provide me with the solution to this problem , @jeya-maria-jose it will of great help if you also provide me some insights on this .

Thankyou in Advance .

jeya-maria-jose commented 6 years ago

Include a '/' at the end of your directory name ! Use this :

img_folder_path = "/home/nikhitha/Srijita_work/GAN/image_folder/images/"
seg_folder_path = "/home/nikhitha/Srijita_work/GAN/segmentation_folder/masks/"
Srijita173 commented 6 years ago

Thankyou so much @jeya-maria-jose , I just missed that ...