Segment-Everything-Everywhe.../assets/readmes/TRAIN.md

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2023-10-05 11:21:14 +08:00
## X-Decoder
**Focal-T**
```sh
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 mpirun -n 8 python entry.py train \
--conf_files configs/xdecoder/focalt_unicl_lang.yaml \
--overrides \
FP16 True \
COCO.INPUT.IMAGE_SIZE 1024 \
MODEL.DECODER.HIDDEN_DIM 512 \
MODEL.ENCODER.CONVS_DIM 512 \
MODEL.ENCODER.MASK_DIM 512 \
MODEL.DECODER.CAPTIONING.ENABLED True \
MODEL.DECODER.RETRIEVAL.ENABLED True \
MODEL.DECODER.GROUNDING.ENABLED True \
MODEL.DECODER.CAPTIONING_WEIGHT 8 \
MODEL.DECODER.RETRIEVAL_WEIGHT 8 \
MODEL.DECODER.TOP_CAPTIONING_LAYERS 3 \
MODEL.DECODER.TOP_RETRIEVAL_LAYERS 3 \
MODEL.DECODER.TOP_GROUNDING_LAYERS 6 \
MODEL.DECODER.GROUNDING.TEXT_WEIGHT 2.0 \
MODEL.DECODER.GROUNDING.CLASS_WEIGHT 0.5 \
COCO.TEST.BATCH_SIZE_TOTAL 8 \
COCO.TRAIN.BATCH_SIZE_TOTAL 8 \
COCO.TRAIN.BATCH_SIZE_PER_GPU 1 \
VLP.TEST.BATCH_SIZE_TOTAL 8 \
VLP.TRAIN.BATCH_SIZE_TOTAL 256 \
VLP.TRAIN.BATCH_SIZE_PER_GPU 32 \
VLP.DATALOADER.NUM_WORKERS 32
ADE20K.TEST.BATCH_SIZE_TOTAL 8 \
REF.TEST.BATCH_SIZE_TOTAL 8 \
SOLVER.LR_MULTIPLIER.lang_encoder 0.1 \
WEIGHT True \
RESUME_FROM /pth/to/xdecoder_data/pretrained/focalt_in21k_yfcc_gcc_xdecoder_unicl.pt
```
**Focal-L**
```sh
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 mpirun -n 8 python entry.py train \
--conf_files configs/xdecoder/focall_unicl_lang.yaml \
--overrides \
FP16 True \
COCO.INPUT.IMAGE_SIZE 1024 \
MODEL.DECODER.HIDDEN_DIM 512 \
MODEL.ENCODER.CONVS_DIM 512 \
MODEL.ENCODER.MASK_DIM 512 \
MODEL.DECODER.CAPTIONING.ENABLED True \
MODEL.DECODER.RETRIEVAL.ENABLED True \
MODEL.DECODER.GROUNDING.ENABLED True \
MODEL.DECODER.CAPTIONING_WEIGHT 8 \
MODEL.DECODER.RETRIEVAL_WEIGHT 8 \
MODEL.DECODER.TOP_CAPTIONING_LAYERS 3 \
MODEL.DECODER.TOP_RETRIEVAL_LAYERS 3 \
MODEL.DECODER.TOP_GROUNDING_LAYERS 6 \
MODEL.DECODER.GROUNDING.TEXT_WEIGHT 2.0 \
MODEL.DECODER.GROUNDING.CLASS_WEIGHT 0.5 \
COCO.TEST.BATCH_SIZE_TOTAL 8 \
COCO.TRAIN.BATCH_SIZE_TOTAL 8 \
COCO.TRAIN.BATCH_SIZE_PER_GPU 1 \
VLP.TEST.BATCH_SIZE_TOTAL 8 \
VLP.TRAIN.BATCH_SIZE_TOTAL 256 \
VLP.TRAIN.BATCH_SIZE_PER_GPU 32 \
VLP.DATALOADER.NUM_WORKERS 32
ADE20K.TEST.BATCH_SIZE_TOTAL 8 \
REF.TEST.BATCH_SIZE_TOTAL 8 \
SOLVER.LR_MULTIPLIER.lang_encoder 0.1 \
WEIGHT True \
RESUME_FROM /pth/to/xdecoder_data/pretrained/focall_vision_focalb_lang_unicl.pt
```
## SEEM