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OpenDAS
mmdetection3d
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43b96a0c
Commit
43b96a0c
authored
Jun 23, 2020
by
wuyuefeng
Committed by
zhangwenwei
Jun 23, 2020
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det3d benchmark
parent
8ed3905c
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docs/benchmarks.md
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docs/benchmarks.md
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43b96a0c
...
@@ -41,7 +41,7 @@ performance on 3 classes.
...
@@ -41,7 +41,7 @@ performance on 3 classes.
+----------------+---------------------+--------------------+
+----------------+---------------------+--------------------+
| Implementation | Training (sample/s) | Testing (sample/s) |
| Implementation | Training (sample/s) | Testing (sample/s) |
+================+=====================+====================+
+================+=====================+====================+
| MMDetection3D | 141 |
|
| MMDetection3D | 141 |
44.3
|
+----------------+---------------------+--------------------+
+----------------+---------------------+--------------------+
| Det3D | 140 | 20 |
| Det3D | 140 | 20 |
+----------------+---------------------+--------------------+
+----------------+---------------------+--------------------+
...
@@ -106,8 +106,9 @@ and compare average AP over all classes on moderate condition for performance on
...
@@ -106,8 +106,9 @@ and compare average AP over all classes on moderate condition for performance on
```
```
./tools/dist_train.sh configs/votenet/votenet_16x8_sunrgbd-3d-10class.py 8 --no-validate
./tools/dist_train.sh configs/votenet/votenet_16x8_sunrgbd-3d-10class.py 8 --no-validate
```
```
*
__votenet__: At commit
xxxx
, run
*
__votenet__: At commit
2f6d6d3
, run
```
```
python train.py --dataset sunrgbd --batch_size 16
```
```
...
@@ -126,11 +127,29 @@ and compare average AP over all classes on moderate condition for performance on
...
@@ -126,11 +127,29 @@ and compare average AP over all classes on moderate condition for performance on
```
```
./tools/dist_train.sh configs/benchmark/hv_pointpillars_secfpn_3x8_100e_det3d_kitti-3d-car.py 8 --no-validate
./tools/dist_train.sh configs/benchmark/hv_pointpillars_secfpn_3x8_100e_det3d_kitti-3d-car.py 8 --no-validate
```
```
* __Det3D__: At commit
xxxx
*
__Det3D__: At commit
255c593, use kitti_point_pillars_mghead_syncbn.py and run
```
```
./tools/scripts/train.sh --launcher=slurm --gpus=8
```
Note that the config in train.sh is modified to train point pillars.
```
```
diff --git a/tools/scripts/train.sh b/tools/scripts/train.sh
index 3a93f95..461e0ea 100755
--- a/tools/scripts/train.sh
+++ b/tools/scripts/train.sh
@@ -16,9 +16,9 @@
then
fi
# Voxelnet
-python -m torch.distributed.launch --nproc_per_node=8 ./tools/train.py examples/second/configs/kitti_car_vfev3_spmiddlefhd_rpn1_mghead_syncbn.py --work_dir=$SECOND_WORK_DIR
+# python -m torch.distributed.launch --nproc_per_node=8 ./tools/train.py examples/second/configs/kitti_car_vfev3_spmiddlefhd_rpn1_mghead_syncbn.py --work_dir=$SECOND_WORK_DIR
# python -m torch.distributed.launch --nproc_per_node=8 ./tools/train.py examples/cbgs/configs/nusc_all_vfev3_spmiddleresnetfhd_rpn2_mghead_syncbn.py --work_dir=$NUSC_CBGS_WORK_DIR
# python -m torch.distributed.launch --nproc_per_node=8 ./tools/train.py examples/second/configs/lyft_all_vfev3_spmiddleresnetfhd_rpn2_mghead_syncbn.py --work_dir=$LYFT_CBGS_WORK_DIR
# PointPillars
-# python -m torch.distributed.launch --nproc_per_node=8 ./tools/train.py ./examples/point_pillars/configs/original_pp_mghead_syncbn_kitti.py --work_dir=$PP_WORK_DIR
+python -m torch.distributed.launch --nproc_per_node=8 ./tools/train.py ./examples/point_pillars/configs/kitti_point_pillars_mghead_syncbn.py
```
### SECOND
### SECOND
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