Add no-box full-frame Qwen AV baselines

This commit is contained in:
Xin Wang
2026-09-17 02:51:26 +08:00
parent a9f748d6a6
commit 62134a0fa0
10 changed files with 1164 additions and 17 deletions
+65
View File
@@ -0,0 +1,65 @@
#!/usr/bin/env bash
# Foreground only. Usage: bash run_easycom_fullframe_qwen_av.sh [all|f2|f3] [seed ...]
set -euo pipefail
cd "$(dirname "$0")"
FEATURE_ROOT=${FEATURE_ROOT:-/data1/yfzx/wangx/Datasets/easycom/omni_features/open_stream_2fps_8s_last4_stack}
TARGET_ROOT=${TARGET_ROOT:-/data1/yfzx/wangx/Datasets/easycom/easycom_target_frame}
FULLFRAME_ROOT=${FULLFRAME_ROOT:-/data1/yfzx/wangx/Datasets/easycom/omni_features/fullframe_qwen_av_2fps_224}
CHECKPOINT_ROOT=${CHECKPOINT_ROOT:-checkpoints/easycom_fullframe_qwen_av}
RESULT_ROOT=${RESULT_ROOT:-results/easycom_fullframe_qwen_av}
LOCAL_PROJECTION_DIM=${LOCAL_PROJECTION_DIM:-256}
ATTENTION_DIM=${ATTENTION_DIM:-256}
ATTENTION_HEADS=${ATTENTION_HEADS:-4}
HISTORY_FRAMES=${HISTORY_FRAMES:-2}
HISTORY_MAX_GAP_SECONDS=${HISTORY_MAX_GAP_SECONDS:-0.75}
TRAIN_BATCH_SIZE=${TRAIN_BATCH_SIZE:-64}
INFER_BATCH_SIZE=${INFER_BATCH_SIZE:-128}
export OMP_NUM_THREADS=${OMP_NUM_THREADS:-4}
export MKL_NUM_THREADS=${MKL_NUM_THREADS:-4}
export OPENBLAS_NUM_THREADS=${OPENBLAS_NUM_THREADS:-4}
variant=${1:-all}
if (( $# )); then shift; fi
if (( $# )); then seeds=("$@"); else seeds=(0 1 2); fi
case "$variant" in
all) variants=(f2 f3) ;;
f2|f3) variants=("$variant") ;;
*) echo "Expected all, f2, or f3" >&2; exit 2 ;;
esac
for variant in "${variants[@]}"; do
case "$variant" in
f2) fusion=fullframe-spatial-attention ;;
f3) fusion=fullframe-spatiotemporal-attention ;;
esac
for seed in "${seeds[@]}"; do
checkpoint="$CHECKPOINT_ROOT/${variant}_seed${seed}.pth"
result="$RESULT_ROOT/${variant}_seed${seed}"
if [[ -e "$checkpoint" || -e "$result" ]]; then
echo "Refusing to overwrite $checkpoint or $result; select new output roots." >&2
exit 1
fi
python train_turn_head.py \
--feature-root "$FEATURE_ROOT" --target-root "$TARGET_ROOT" \
--local-feature-root "$FULLFRAME_ROOT" --local-modalities av \
--local-fusion "$fusion" \
--local-projection-dim "$LOCAL_PROJECTION_DIM" \
--person-attention-dim "$ATTENTION_DIM" \
--person-attention-heads "$ATTENTION_HEADS" \
--person-history-frames "$HISTORY_FRAMES" \
--person-track-max-gap-seconds "$HISTORY_MAX_GAP_SECONDS" \
--output "$checkpoint" --sessions 4 5 6 7 8 9 10 11 12 \
--epochs 4 --batch-size "$TRAIN_BATCH_SIZE" \
--learning-rate 7e-5 --weight-decay 5e-5 \
--warmup-epochs 1.6 --warmup-factor 0.3 --dropout 0.2 \
--loss lstr-mce --transition-objective none --layer-fusion concat-mlp \
--expected-mode open-stream-replay --seed "$seed" --device cuda:0
python infer_turn_head.py \
--feature-root "$FEATURE_ROOT" --target-root "$TARGET_ROOT" \
--local-feature-root "$FULLFRAME_ROOT" \
--checkpoint "$checkpoint" --output-dir "$result" --sessions 3 2 1 \
--batch-size "$INFER_BATCH_SIZE" \
--expected-mode open-stream-replay --device cuda:0
done
done