INSTALL.md

Install

1. Clone the project

   git clone https://github.com/yujun0-0/MMA-Net
   cd MMA-Net
   

2. Create a conda virtual environment and activate it

   conda create -n mma-net python=3.6 -y
   conda activate mma-net
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Data preparation

   To run the training and testing code, we require the following data organization format

   ${root}--
           |--${VIL100}
               |----JPEGImages
               |----Annotations
               |----Json
               |----data
               |------|-----db_info.yaml
               |------|-----test.txt
               |------|-----train.txt
   

   The root folder can be set in options.py.

5. Install CULane evaluation tools (Only required for evaluating mIoU)

   If you just want to train a model or make a demo, this tool is not necessary and you can skip this step. If you want to get the evaluation results on CULane, you should install this tool.

   This tools requires OpenCV C++. Please follow here to install OpenCV C++. When you build OpenCV, remove the paths of anaconda from PATH or it will be failed.

   # First you need to install OpenCV C++. 
   # After installation, make a soft link of OpenCV include path.
   
   ln -s /usr/local/include/opencv4/opencv2 /usr/local/include/opencv2

   We provide three kinds of complie pipelines to build the evaluation tool of CULane. evaluate_acc Option 1:

   cd evaluation/culane
   make

   Option 2:

   cd evaluation/culane
   mkdir build && cd build
   cmake ..
   make
   mv culane_evaluator ../evaluate

   For Windows user:

   mkdir build-vs2017
   cd build-vs2017
   cmake .. -G "Visual Studio 15 2017 Win64"
   cmake --build . --config Release  
   # or, open the "xxx.sln" file by Visual Studio and click build button
   move culane_evaluator ../evaluate