發現一個好用，又是現成的 computer vision libarary, 針對 objection detection 特別方便，一起來玩一下吧~目前感覺上用 ubuntu 比較方便一些，所以我的環境是 ubuntu 18.04
安裝 python3
sudo apt-get install -y python3 python3-distutils curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py sudo python3 get-pip.py pip3 install -U pip
安裝相關的函式庫
pip3 install tensorflow pip3 install numpy pip3 install scipy pip3 install opencv-python pip3 install pillow pip3 install matplotlib pip3 install h5py pip3 install keras
安裝 ImageAI
pip3 install https://github.com/OlafenwaMoses/ImageAI/releases/download/2.0.3/imageai-2.0.3-py3-none-any.whl
下載 Pretrained 的檔案 (ResNet50 coco)
wget https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/resnet50_coco_best_v2.0.1.h5
用 Docker 的方式
直接寫一個 dockerfiler 如下
FROM ubuntu:latest
RUN apt-get update \
&& apt-get install -y python3 python3-distutils curl wget git \
&& python3 /opt/src/get-pip.py \
&& pip3 install -U pip \
&& ln -s /usr/bin/python3 /usr/bin/python
RUN pip3 install tensorflow \
&& pip3 install numpy \
&& pip3 install scipy \
&& pip3 install opencv-python \
&& pip3 install pillow \
&& pip3 install matplotlib \
&& pip3 install h5py \
&& pip3 install keras \
&& pip3 install https://github.com/OlafenwaMoses/ImageAI/releases/download/2.0.3/imageai-2.0.3-py3-none-any.whl
