#!/usr/bin/env bash
# Environment of the launchers. Copy, edit the paths, then `source env_template.sh` before running a stage.

# Where stage outputs go: co-occurrence statistics, raw renders and audits, clean / strict / released trees.
export WORK_ROOT="${WORK_ROOT:-$PWD/strange_bench_work}"

# Stage 0: COCO 2017 train annotations (https://cocodataset.org).
export COCO_TRAIN_ANN="${COCO_TRAIN_ANN:-/path/to/coco/annotations/instances_train2017.json}"

# Stages 1, 2, 3, 5, 7: Hugging Face cache for Qwen/Qwen2.5-3B-Instruct, stabilityai/stable-diffusion-3.5-large
# (gated: accept its license on the Hub and log in first), facebook/sam3, google/owlv2-large-patch14-ensemble and
# bert-base-uncased (text encoder of Grounding DINO).
export HF_HOME="${HF_HOME:-$HOME/.cache/huggingface}"
# A TRANSFORMERS_CACHE or HF_HUB_CACHE left in the shell would override HF_HOME for transformers.
unset TRANSFORMERS_CACHE HF_HUB_CACHE HUGGINGFACE_HUB_CACHE

# Stages 2 and 5 (SAM 3): the BPE vocabulary shipped with the SAM 3 package (sam3/assets/bpe_simple_vocab_16e6.txt.gz).
export SAM3_BPE="${SAM3_BPE:-/path/to/sam3/assets/bpe_simple_vocab_16e6.txt.gz}"

# Stage 3 (lean audit, MMDetection 3.x environment): Grounding DINO Swin-B config of MMDetection and its checkpoint
# https://download.openmmlab.com/mmdetection/v3.0/grounding_dino/grounding_dino_swin-b_finetune_16xb2_1x_coco/grounding_dino_swin-b_finetune_16xb2_1x_coco_20230921_153201-f219e0c0.pth
export GDINO_CONFIG="${GDINO_CONFIG:-/path/to/mmdetection/configs/grounding_dino/grounding_dino_swin-b_finetune_16xb2_1x_coco.py}"
export GDINO_CKPT="${GDINO_CKPT:-/path/to/grounding_dino_swin-b_finetune_16xb2_1x_coco_20230921_153201-f219e0c0.pth}"