I’m sorry to ask this question. I am now trying to use mmdetection to directly detect the image obtained by zed mini or the data in the SVO file obtained by zed mini camera.
To tell you the truth, it’s a difficult job for me. But I noticed that in this work, you have successfully run mmdetection on zed cameras:
## Model Zoo and Baselines
### Hardware
- 8 NVIDIA V100 GPUs
### Software
- PyTorch version: 1.0.0a0+dd2c487
- CUDA 9.2
- CUDNN 7.1
- NCCL 2.2.13-1
### End-to-end Faster and Mask R-CNN baselines
All the baselines were trained using the exact same experimental setup as in Detectron.
We initialize the detection models with ImageNet weights from Caffe2, the same as used by Detectron.
The pre-trained models are available in the link in the model id.
backbone | type | lr sched | im / gpu | train mem(GB) | train time (s/iter) | total train time(hr) | inference time(s/im) | box AP | mask AP | model id
-- | -- | -- | -- | -- | -- | -- | -- | -- | -- | --
show original
So can you share this part of the code? Or provide a tutorial on how to make mmdetection run successfully on zed?
Myzhar
December 21, 2021, 4:27pm
3
This problem has been discussed and solved on Github:
opened 02:26PM - 10 Dec 21 UTC
feature_request
### Preliminary Checks
- [X] This issue is not a duplicate. Before opening a ne… w issue, please search existing issues.
- [X] This issue is not a question, bug report, or anything other than a feature request directly related to this project.
### Proposal
I'm sorry to ask this question. I am now trying to use mmdetection to directly detect the image obtained by zed mini or the data in the SVO file obtained by zed mini camera.
To tell you the truth, it's a difficult job for me. But I noticed that in this work, you have successfully run mmdetection on zed cameras:
https://github.com/stereolabs/zed-pytorch/blob/master/other/MODEL_ZOO.md
So can you share this part of the code? Or provide a tutorial on how to make mmdetection run successfully on zed?
### Use-Case
_No response_
### Anything else?
_No response_