facebookresearch / maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
MIT License
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cannot import name 'COCODemo' from 'predictor' #1321

Open tianrking opened 3 years ago

tianrking commented 3 years ago

🐛 Bug

I have pip install predictor however it still not work

Environment

Collecting environment information... PyTorch version: 1.9.0+cu102 Is debug build: False CUDA used to build PyTorch: 10.2 ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.5 LTS (x86_64) GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 Clang version: 6.0.0-1ubuntu2 (tags/RELEASE_600/final) CMake version: version 3.12.0 Libc version: glibc-2.26

Python version: 3.7.12 (default, Sep 10 2021, 00:21:48) [GCC 7.5.0] (64-bit runtime) Python platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic Is CUDA available: False CUDA runtime version: 11.1.105 GPU models and configuration: Could not collect Nvidia driver version: Could not collect cuDNN version: Probably one of the following: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5 /usr/lib/x86_64-linux-gnu/libcudnn.so.8.0.5 /usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.0.5 /usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.0.5 /usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.0.5 /usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.0.5 /usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.0.5 /usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.0.5 HIP runtime version: N/A MIOpen runtime version: N/A

Versions of relevant libraries: [pip3] numpy==1.19.5 [pip3] torch==1.9.0+cu102 [pip3] torchsummary==1.5.1 [pip3] torchtext==0.10.0 [pip3] torchvision==0.10.0+cu102 [conda] Could not collect

Additional context

from predictor import COCODemo

ImportError Traceback (most recent call last)

in () 1 from maskrcnn_benchmark.config import cfg ----> 2 from predictor import COCODemo