Closed suniique closed 1 year ago
Add an example dataset API for mmdet3d (v1.0+). It supports monocular tasks, including 2D/3D detection, tracking, 2D instance segmentation, and depth estimation.
Usage:
dict( type='SHIFTDataset', data_root='./SHIFT_dataset/discrete/images', img_prefix='train/front/img.zip', ann_file='train/front/det_3d.json', insseg_ann_file="train/front/det_insseg_2d.json", backend_type='zip', pipeline=[ dict(type="LoadAnnotations3D", with_bbox=True, with_mask=True), ... ] )
Add an example dataset API for mmdet3d (v1.0+). It supports monocular tasks, including 2D/3D detection, tracking, 2D instance segmentation, and depth estimation.
Usage: