Comments (5)
Hi, we only choose one view to crop, the first view that has the object, following the order (FRONT, LEFT_FRONT, RIGHT_FRONT, LEFT_BACK, RIGHT_BACK, BACK, maybe). The reason that I crop one image patch is we simply want to reduce the size of GT database.
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i have the same question.it will show TypeError: list indices must be integers or slices, not tuple
,right? there are actually a wrong, but do not know the solution. may i get your ways? thanks
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File "tools/create_data.py", line 237, in
max_sweeps=args.max_sweeps)
File "tools/create_data.py", line 84, in nuscenes_data_prep
with_bbox=True)
File "/opt/lcx/project/AutoAlignV2/tools/data_converter/create_gt_database.py", line 324, in create_groundtruth_database
object_img_patches = crop_img_patch_with_box_v2(gt_boxes, example['img'])
File "/opt/lcx/project/AutoAlignV2/tools/data_converter/create_gt_database.py", line 129, in crop_img_patch_with_box_v2
img_patch = org_img_list[num_img][y1:y1 + h, x1:x1 + w]
IndexError: list index out of range
i meet the question like this. it shows that the org_img_list input only contains one image while we choose 6 images of different views to crop it. so my question is, why only crop one image patches?
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thanks a lot for your prompt answer~ so in [crop_img_patch_with_box”] function, i may just filter other views like this?
if(num_img ==0) img_patch = org_img_list[0][y1:y1 + h, x1:x1 + w] img_patches.append(img_patch)
where num_img varies from 0 to 5, which means 6 different views gt bboxes.
buaazeus opened this issue on Oct 26, 2022 · 3 co
Hi, we only choose one view to crop, the first view that has the object, following the order (FRONT, LEFT_FRONT, RIGHT_FRONT, LEFT_BACK, RIGHT_BACK, BACK, maybe). The reason that I crop one image patch is we simply want to reduce the size of GT database.
from autoalignv2.
You may have a try. The code should not have this problem since I have used it to generate the database before... it's quite strange... Perhaps I changed it for waymo afterwards.
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Related Issues (19)
- Cannot find ops.modules HOT 2
- question about preprocess nuscenes datasets HOT 5
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