Exception: index 1000 is out of bounds for axis 0 with size 1000

I am getting the following exception when I run the train_frcnn.py file, when the model finishes running the epochs it goes into an infinite loop printing out the same exception

1000/1000 [==============================] - 592s - rpn_cls: 0.0000e+00 - rpn_regr: 0.0000e+00 - detector_cls: 0.0000e+00 - detector_regr: 0.0000e+00
Exception: name ‘mean_overlapping_boxes’ is not defined Average number of overlapping bounding boxes from RPN = 56.069 for 1000 previous iterations Exception: index 1000 is out of bounds for axis 0 with size 10001

I use the following command to run the train_frcnn.py python train_frcnn.py -o simple -p annotate2.txt --num_epochs=1

I traced back the error to line 243 in train_rcnn.py:

losses[iter_num, 0] = loss_rpn[1]
losses[iter_num, 1] = loss_rpn[2]

losses[iter_num, 2] = loss_class[1]
losses[iter_num, 3] = loss_class[2]
losses[iter_num, 4] = loss_class[3]

did anyone get the same exception or know what is the issue?

this is my first time posting a question so I apologize if i didnt provide much details, please let me know what I missed

[dbarrientosg]

Did you find any solution?Mine still says the same even if I changed the keras and tensorflow version

I solved this error. The error happens because it miss a “b” in the line 263. So line 274 wont be executed and iter_num wont be set to 0. This provocate the error “index 1000 is out of bounds for axis 0 with size 10001” in the line 243 when the loop start again.

The correct line of code is for line 263 is:

print(f’Mean number of bounding boxes from RPN overlapping ground truth boxes: {mean_overlapping_bboxes}')

[dbarrientosg]

Did you find any solution?Mine still says the same even if I changed the keras and tensorflow version

I solved this error. The error happens because it miss a “b” in the line 263. So line 274 wont be executed and iter_num wont be set to 0. This provocate the error “index 1000 is out of bounds for axis 0 with size 10001” in the line 243 when the loop start again. The correct line of code is for line 263 is: print(f’Mean number of bounding boxes from RPN overlapping ground truth boxes: {mean_overlapping_bboxes}')

Thank you but can you tell me on which file I should edit this?

train_rcnn.py