Comments (7)
Hi, thank you for your issue.
- To resolve the issue, please try adding the root directory of the LaneSegNet repository to your
PYTHONPATH
env. You can achieve this by including the following code in either your.bashrc
file or thedist_train.sh
shell script.
export PYTHONPATH="\path\to\LaneSegNet:$PYTHONPATH"
2 & 3. We would add visualization code very soon, please stay tune.
We apologize for any inconvenience caused.
from lanesegnet.
Hi, @winginwind. The visualization code is ready!
You can use --show
option to visualize the results.
./dist_test.sh 8 --show
from lanesegnet.
Hi, @winginwind. The visualization code is ready!
You can use--show
option to visualize the results../dist_test.sh 8 --showHi, have you tested in _single_gpu_mode? It seems that there is a mmdet3d bug when I tried to run
test.py
.
yeah,
first, you can modify the test.py like
if not distributed:
# model = MMDataParallel(model, device_ids=cfg.gpu_ids)
# outputs = single_gpu_test(model, data_loader, args.show, args.show_dir)
model = MMDataParallel(model, device_ids=[0])
outputs = single_gpu_test(model, data_loader, False, args.out_dir)
then, you can modify the dist_test.sh like
python tools/test.py $CONFIG $CHECKPOINT \
--out-dir ${WORK_DIR}/test --eval openlane_v2 ${@:2} \
2>&1 | tee ${WORK_DIR}/test.${timestamp}.log
finally, you can run without distribution like
./tools/dist_test.sh 1 --show
from lanesegnet.
- when load config, I got "No module named 'projects'" error
- I need to do some debug if I want to run single_gpu_test, but the MMdetection3D visualization API show_results seems can't support the visualization
- so I use '--evaluate' finally, but I found the function show of OpenLaneV2_subset_A_LaneSegNet_Dataset isn't impelemented yet
so how can I get the visualization results? Is the code ready to do it? If not, when will you impelement it?
thx
Hi, single_gpu_test still has error '*** TypeError: show_results() got an unexpected keyword argument 'show'', have you solved the problem?
from lanesegnet.
Hi, @winginwind. The visualization code is ready!
You can use
--show
option to visualize the results../dist_test.sh 8 --show
Hi, have you tested in _single_gpu_mode? It seems that there is a mmdet3d bug when I tried to run test.py
.
from lanesegnet.
from lanesegnet.
False, args.out_dir
Thx, similar to my solution, succeed in testing on single GPU, but failed in testing in show mode.
from lanesegnet.
Related Issues (20)
- Evaluate Result HOT 1
- CHILD PROCESS FAILED WITH NO ERROR_FILE HOT 1
- segmentation fault HOT 4
- ms_deform_attn_impl_forward implementation for cuda not found HOT 1
- Temporal fusion HOT 2
- --show option error HOT 2
- 兄弟 ,你这个跟maptr有什么区别么 [无意引战,关闭issue了,主要是没太get到与maptr的区别] HOT 2
- potential bug in loading pipeline HOT 1
- dist_test.sh error HOT 2
- Migrate data to map element detection HOT 7
- any tutorial to convert Argoverse V2 data into lane segment annotation? HOT 1
- Performance of LaneSegNet for Map Element Bucket HOT 1
- point cloud range change,only use front camera HOT 1
- About evaluation results
- Question about evaluation code HOT 3
- The det_t is only 36.09. HOT 1
- wrong in the corner and how to visualize bev features? HOT 1
- EOFError: Ran out of input
- how to detect the curb
- LaneSegNet-tiny and LaneSegNet
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