Methodnv12_source(self, d_src0, d_src1, cx, cy, w, h, mask_color, block_linear)
libraries/cuOSD/test/cuosd/__init__.py:58
Methodpolyline(self, h_pts, d_pts, n_pts, thickness, is_closed, border_color, interpolation, fill_color)
libraries/cuOSD/test/cuosd/__init__.py:56
Functionqat_train(
model,
dataset,
data_loaders,
cfg,
distributed=False,
validate=False,
timestamp=
CUDA-BEVFusion/qat/lean/train.py:40
Methodsegmentmask(self, left, top, right, bottom, thickness, d_seg, seg_width, seg_height, seg_threshold, border_color, seg_col
libraries/cuOSD/test/cuosd/__init__.py:55
Methodsymbolic(g, feat, depth, intervals, geom_feats, num_intervals, C, H, W)
CUDA-V2XFusion/mmdet3d/models/vtransforms/base.py:52
Methodsymbolic(g, input, normalized_shape, weight, bias, eps, x_shape)
CUDA-BEVFusion/qat/export-transfuser.py:248
Functiontrain_detector(model, dataset, cfg, distributed=False, validate=False, logger=None)
CUDA-CenterPoint/qat/det3d/torchie/apis/train.py:328
Functiontrain_model(
model,
dataset,
cfg,
distributed=False,
validate=False,
timestamp=None,
)
CUDA-BEVFusion/qat/lean/train.py:127