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tusen-ai / simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition
Apache License 2.0
3.08k stars 488 forks source link

install error #225

Closed surserrr closed 5 years ago

surserrr commented 5 years ago

I just follow the install and meet an error:

Install We provide a local installation here for Debian/Ubuntu system. To use a pre-built docker or singularity images, please refer to INSTALL.md for more information.

install dependency sudo apt update && sudo apt install -y git wget make python3-dev libglib2.0-0 libsm6 libxext6 libxrender-dev unzip

install python dependency pip3 install 'matplotlib<3.1' opencv-python pytz --user

download and intall pre-built wheel for CUDA 10.0 check INSTALL.md for wheels for other CUDA version wget https://bit.ly/2jRGqdc -O mxnet_cu100-1.6.0b20190820-py2.py3-none-manylinux1_x86_64.whl pip3 install mxnet_cu100-1.6.0b20190820-py2.py3-none-manylinux1_x86_64.whl --user

install pycocotools pip3 install 'git+https://github.com/RogerChern/cocoapi.git#subdirectory=PythonAPI' --user

install mxnext, a wrapper around MXNet symbolic API pip3 install 'git+https://github.com/RogerChern/mxnext#egg=mxnext' --user

get simpledet git clone https://github.com/tusimple/simpledet cd simpledet make

test simpledet installation mkdir -p experiments/faster_r50v1_fpn_1x python3 detection_infer_speed.py --config config/faster_r50v1_fpn_1x.py --shape 800 1333 If the last line execute successfully, the average running speed of Faster R-CNN R-50 FPN will be reported. And you have successfuly setup SimpleDet. Now you can head up to the next section to prepare your dataset.

OSError: libcudart.so.9.0: cannot open shared object file: No such file or directory.

louielu1027 commented 5 years ago

you CUDA lib path is not right. DO this command: export LD_LIBRARY_PATH=/your/cuda/lib64:/your/cuda/lib64/stubs:$LD_LIBRARY_PATH