Training sample without object
I want to manipulate input images, so that the algo thinks there is no object in the image. So I want to set: gt_boxes = [[]] classes = [[]] after loading each training sample. I am getting the following dimensions error which I can not solve. Any suggestions?
`Traceback (most recent call last): File "/home/markus/anaconda3/envs/dpatch/lib/python3.6/multiprocessing/pool.py", line 119, in worker result = (True, func(*args, **kwds)) File "/home/markus/anaconda3/envs/dpatch/lib/python3.6/multiprocessing/pool.py", line 44, in mapstar return list(map(*args)) File "/home/markus/DPatch-master/darknet.py", line 83, in _process_batch np.ascontiguousarray(gt_boxes_b, dtype=np.float) File "/utils/bbox.pyx", line 116, in cython_bbox.bbox_ious (bbox.c:2878) File "/utils/bbox.pyx", line 140, in cython_bbox.bbox_ious_c (bbox.c:3114) IndexError: Out of bounds on buffer access (axis 1) """
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/markus/DPatch-master/train.py", line 100, in
Process finished with exit code 1`