You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Python version: 3.6
Is CUDA available: Yes
CUDA runtime version: Could not collect
GPU models and configuration:
GPU 0: GeForce RTX 2080
GPU 1: GeForce RTX 2080
Nvidia driver version: 410.72
cuDNN version: Could not collect
We already have something similar to bboxs_util.xyxy_to_xywh in BoxList via the convert method. The second function can be taken from Detectron to avoid this dependency.
🐛 Bug
As suggested in the data/README.md
tools/convert_cityscapes_to_coco.py
requires detectron to be installed.To Reproduce
Steps to reproduce the behavior:
maskrcnn_benchmark
following the INSTALL.mdpip install h5py scipy opencv-python
python tools/cityscapes/convert_cityscapes_to_coco.py
Error:
ModuleNotFoundError: No module named 'detectron'
Environment
PyTorch version: 1.0.0.dev20190207
Is debug build: No
CUDA used to build PyTorch: 10.0.130
OS: Ubuntu 16.04.5 LTS
GCC version: (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609
CMake version: version 3.5.1
Python version: 3.6
Is CUDA available: Yes
CUDA runtime version: Could not collect
GPU models and configuration:
GPU 0: GeForce RTX 2080
GPU 1: GeForce RTX 2080
Nvidia driver version: 410.72
cuDNN version: Could not collect
Versions of relevant libraries:
[pip] numpy==1.16.1
[pip] torch==1.0.0.dev20190207
[pip] torchvision==0.2.1
[conda] blas 1.0 mkl
[conda] mkl 2019.1 144
[conda] mkl_fft 1.0.10 py36ha843d7b_0
[conda] mkl_random 1.0.2 py36hd81dba3_0
[conda] pytorch-nightly 1.0.0.dev20190207 py3.6_cuda10.0.130_cudnn7.4.2_0 pytorch
The text was updated successfully, but these errors were encountered: