Trying to train on tiny model with custom data and image_size 608, got the following error. Using coco format
Any idea?
loading dataset...
2% 2/88 [00:00<00:22, 3.77it/s]Traceback (most recent call last):
File "train.py", line 298, in <module>
main(args)
File "train.py", line 194, in main
coco_map_callback = CocoMapCallback(pred_generator,model,args,mAP_writer)
File "/content/ScaledYOLOv4-tensorflow2/utils/fit_coco_map.py", line 30, in __init__
for batch_img, batch_boxes, batch_valids in pred_generator_tqdm:
File "/usr/local/lib/python3.7/dist-packages/tqdm/std.py", line 1104, in __iter__
for obj in iterable:
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/utils/data_utils.py", line 483, in __iter__
for item in (self[i] for i in range(len(self))):
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/utils/data_utils.py", line 483, in <genexpr>
for item in (self[i] for i in range(len(self))):
File "/content/ScaledYOLOv4-tensorflow2/generator/coco_generator.py", line 183, in __getitem__
y_true = get_y_true(self.max_side, batch_boxes, groundtruth_valids, self._args)
File "/content/ScaledYOLOv4-tensorflow2/generator/get_y_true.py", line 91, in get_y_true
grids[grid_index][batch_index][grid_xy[1]][grid_xy[0]][grid_anchor_index][0:4] = np.concatenate([dxdy,dwdh])
IndexError: index 19 is out of bounds for axis 0 with size 19
Trying to train on tiny model with custom data and image_size 608, got the following error. Using coco format Any idea?