Faster_RCNN_for_Open_Images_Dataset_Keras
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X, Y, image_data, debug_img, debug_num_pos = next(data_gen_train)I got Infinite loop?
i am using my own dataset related to fashion and i am using just 570 images in total and even after that it is running for more than 9 hours, Can you help solving it.
@RockyXu66 help me ..
mine crashes too ! even with the default data - I appreciate any hint.
It crashes for me too!
I also used my own dataset and I was suffering of this issue. I was miss re-configure some parts of the code to match my own dataset. You have to check the code. I hope this helps you.
@eslammofreh can you elaborate on the solution ?what do you mean by "re-configure" exactly.
I have same problem even though I used the default dataset.
Same problem here... On my own dataset, and I don't know what exactly I need to change in the code..
did you guy's fix it? i am facing the same problem.
I had the same problem , it might have something to do with the calc_rpn function calling random.sample for the number of positive and negative regions. It maybe be clashing with the np.random method, causing some errors.
To solve this issue, I imported random as rnd, and explicitly called the rnd.sample method for the calc_rpn function.
I also used my own dataset and I was suffering of this issue. I was miss re-configure some parts of the code to match my own dataset. You have to check the code. I hope this helps you.
Can u please elaborate more on it. I am also facing the same issue for my custom dataset.
I had the same problem , it might have something to do with the calc_rpn function calling random.sample for the number of positive and negative regions. It maybe be clashing with the np.random method, causing some errors.
To solve this issue, I imported random as rnd, and explicitly called the rnd.sample method for the calc_rpn function.
I tried this but it still doesn't work. Can u please tell how to solve it
in get_anchor_gt, pls delete the try-except for calc_rpn and rerun the program. You will see the exception that made the infinite loop. Then carefully trace it.