# Configure environment
## 1. Install Conda packages:

* Pytorch with CUDA
  ```bash
  $ conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch
  ```
  Or ref to https://pytorch.org/get-started/locally/ for install guide
* matplotlib
* tensorboard
* tqdm
* configargparse
* (Optional) dash
  ```bash
  $ conda install dash pandas
  ```

## 2. Install Pip packages:
* pyGlm
* tensorboardX
* torch_tb_profiler
* opencv-python
* ipympl
* lpips
* (optional) thop
* (optional) ConcurrentLogHandler

## 4. Build extension "clib._ext"
```bash
$ python setup.py build_ext
```
If build successed, a _ext.\*.so will be generated under build/lib.\*/clib directory. Move this file to clib/.

## 4. (Optional) Install FFMpeg with Extra Codecs:

```bash
sudo apt-get update -qq && sudo apt-get -y install \
  autoconf \
  automake \
  build-essential \
  cmake \
  git-core \
  libass-dev \
  libfreetype6-dev \
  libgnutls28-dev \
  libsdl2-dev \
  libtool \
  libva-dev \
  libvdpau-dev \
  libvorbis-dev \
  libxcb1-dev \
  libxcb-shm0-dev \
  libxcb-xfixes0-dev \
  meson \
  ninja-build \
  pkg-config \
  texinfo \
  wget \
  yasm \
  zlib1g-dev \
  libunistring-dev \
  libvpx-dev \
  libfdk-aac-dev \
  libmp3lame-dev \
  libopus-dev \
  nasm \
  libx264-dev \
  libx265-dev \
  libnuma-dev

mkdir -p ~/ffmpeg_sources ~/bin

cd ~/ffmpeg_sources && \
wget -O ffmpeg-snapshot.tar.bz2 https://ffmpeg.org/releases/ffmpeg-snapshot.tar.bz2 && \
tar xjvf ffmpeg-snapshot.tar.bz2

cd ffmpeg && \
PATH="$HOME/bin:$PATH" PKG_CONFIG_PATH="$HOME/ffmpeg_build/lib/pkgconfig" ./configure \
  --prefix="$HOME/ffmpeg_build" \
  --pkg-config-flags="--static" \
  --extra-cflags="-I$HOME/ffmpeg_build/include" \
  --extra-ldflags="-L$HOME/ffmpeg_build/lib" \
  --extra-libs="-lpthread -lm" \
  --bindir="$HOME/bin" \
  --enable-gpl \
  --enable-gnutls \
  --enable-libass \
  --enable-libfdk-aac \
  --enable-libfreetype \
  --enable-libmp3lame \
  --enable-libopus \
  --enable-libvorbis \
  --enable-libvpx \
  --enable-libx264 \
  --enable-libx265 \
  --enable-nonfree && \
PATH="$HOME/bin:$PATH" make && \
make install && \
hash -r
```

# Useful commands
## 1. Video generate:
```bash
$ ffmpeg -y -r 50 -i %04d.png -c:v libx264 -vframes 600 ../classroom_hmd_mono_hint.mp4
```

## 2. Extract frames:
```bash
$ ffmpeg -i <video_path> -f image2 -q:v 2 -vf fps=<fps> <out_dir>/image%04d.png
```

## 3. Convert onnx to tensorRT
```bash
$ trtexec --onnx=in.onnx --fp16 --saveEngine=out.trt --workspace=4096
```

## 4. Generate dataset of specific path
```bash
$ python tools/data/gen_seq.py -s helix|look_around|scan_around -n <frames> --ref <train_dataset.json> <dataset_dir>
```