python3 -m pip install 'git+https://github.com/Megvii-BaseDetection/cvpods.git'
# (add --user if you don't have permission)

# Or, to install it from a local clone:
git clone https://github.com/Megvii-BaseDetection/cvpods.git
python3 -m pip install -e cvpods

# Or,
pip install -r requirements.txt
python3 setup.py build develop

cd /path/to/cvpods/datasets
ln -s /path/to/your/coco/dataset coco

git clone https://github.com/Megvii-BaseDetection/OTA.git
cd playground/detection/coco/ota.res50.fpn.coco.800size.1x  # for example

# Train
pods_train --num-gpus 8

# Test
pods_test --num-gpus 8 \
    MODEL.WEIGHTS /path/to/your/save_dir/ckpt.pth # optional
    OUTPUT_DIR /path/to/your/save_dir # optional

# Multi node training
## sudo apt install net-tools ifconfig
pods_train --num-gpus 8 --num-machines N --machine-rank 0/1/.../N-1 --dist-url "tcp://MASTER_IP:port"

TEST=dict(
    DETECTIONS_PER_IMAGE=300,
    AUG=dict(
        ENABLED=True,
        MAX_SIZE=3000,
        MIN_SIZES=(400, 500, 600, 640, 700, 900, 1000, 1100, 1200, 1300, 1400, 1800),
        EXTRA_SIZES=((800, 1333),),
        SCALE_FILTER=True,
        SCALE_RANGES=(
        [96, 10000], [96, 10000], [64, 10000], [64, 10000], [64, 10000], [0, 10000], [0, 10000], [0, 256], [0, 256], [0, 192], [0, 192], [0, 96], [0, 10000])
    )
),