Comments (6)
I have tested on 1080Ti with 11GB GPU memory and TITAN XP with 12GB GPU memory, both of them could support PartA2 with batch_size 4 for training. Have you used the default config?
from openpcdet.
Yes, I used the default PartA2.yaml and install the version of spconv you mentioned in README.md with pytorch 1.1. and CUDA 10.0.
from openpcdet.
However, when I inference PartA2, I can set the batch_size to 4 and the gpu memory useage is about 7GB. Please leave the issue open to see if others have the same problem.
from openpcdet.
When I train second with batch size 32(8 gpus): I got the result as follows, cls(car), iou=0.7:
bbox AP:94.9566, 89.9244, 88.9964
bev AP:90.3231, 87.9408, 86.2429
3d AP:88.7784, 78.5857, 77.2107
aos AP:94.91, 89.78, 88.78
And When I train PartA2 with batch size 16(8 gpus): I got result as follows,
bbox AP:90.7198, 89.3552, 89.0915
bev AP:90.2864, 87.8155, 86.4079
3d AP:89.6211, 79.1195, 78.5387
aos AP:90.71, 89.25, 88.93
So, the batch size really makes a difference.
from openpcdet.
Please double check that you install the spconv 1.0
version (commit 8da6f96) I mentioned in README, since it consumes more GPU memory when training with the latest spconv
.
from openpcdet.
Sorry, My mistake. I reinstall the spconv and can train the PartA2 with 4 batch per gpu. But now the performance is :
bbox AP:96.5676, 89.3295, 89.0059
bev AP:90.3915, 87.8028, 86.2632
3d AP:89.5518, 79.2141, 78.6265
aos AP:96.55, 89.24, 88.84.
which is better than ever before but not as good as yours mentioned in READMD.md. I am still finetuning it.
from openpcdet.
Related Issues (20)
- File "/home/admin1/anaconda3/envs/plmee/lib/python3.8/site-packages/allennlp/data/token_indexers/wordpiece_indexer.py", line 345, in __init__ super().__init__(vocab=bert_tokenizer.vocab, AttributeError: 'NoneType' object has no attribute 'vocab' HOT 2
- I can train the model, but when it comes to testing or evaluating it, I encounter the error message: 'RuntimeError: CUDA error: no kernel image is available for execution on the device.' HOT 4
- Question on multi-modality model HOT 2
- Questions about functions mask_points_and_boxes_outside_range HOT 2
- Bug: Argoverse2 VoxelNext weights HOT 2
- Training fails with Segmentation fault(core dumped) HOT 1
- an optimization plan for OpenPCDet? HOT 2
- demo.py ModuleNotFoundError: No module named 'pcdet.datasets.argo2.argo2_utils' HOT 1
- The training phase of train.py shows epochs: 0it [00:00, ?it/s]. HOT 1
- Low Acc on 3D task, in Custom datasets. HOT 2
- training with pvrcnn losses not decreasing as seen in the tensor-board !!!! HOT 2
- pointpillar_newaugs.yaml can not use. HOT 2
- Adding MPPNet support for NuScenes HOT 1
- Visualizing the results
- Error when running demo.py HOT 2
- About BaseBEVBackbone HOT 1
- How to get validation loss and display it in Tensorboard HOT 2
- Abnormal demo.py result using nuscenses dataset pre-trained models HOT 2
- Ensemble or test-time augmentation? HOT 1
- free(): double free detected in tcache 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from openpcdet.