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RTN_quantization
RTN_quantization
 
 
SageAttention_SM80
SageAttention_SM80
 
 
Semantic-Segmentation-Anything @ 4bc7581
Semantic-Segmentation-Anything @ 4bc7581
 
 
demo
demo
 
 
freesam
freesam
 
 
input_imgs
input_imgs
 
 
notebooks
notebooks
 
 
output/density_results
output/density_results
 
 
processors
processors
 
 
quant
quant
 
 
quarot
quarot
 
 
result/tmp
result/tmp
 
 
sam-hq @ 9298124
sam-hq @ 9298124
 
 
sam-mmrotate @ 82c7b75
sam-mmrotate @ 82c7b75
 
 
sam2_configs
sam2_configs
 
 
scripts
scripts
 
 
seginw_output/sam_hq
seginw_output/sam_hq
 
 
utils
utils
 
 
.envrc
.envrc
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
.gitmodules
.gitmodules
 
 
.python-version
.python-version
 
 
README.md
README.md
 
 
benchmark_batch_inference.py
benchmark_batch_inference.py
 
 
benchmark_batch_inference_coco.py
benchmark_batch_inference_coco.py
 
 
benchmark_inference_ade20k.py
benchmark_inference_ade20k.py
 
 
ckts
ckts
 
 
data
data
 
 
data_utils.py
data_utils.py
 
 
decoder_quant.py
decoder_quant.py
 
 
encoder.ipynb
encoder.ipynb
 
 
encoder_quant.py
encoder_quant.py
 
 
eval.sh
eval.sh
 
 
eval_sam.sh
eval_sam.sh
 
 
eval_sam2.sh
eval_sam2.sh
 
 
eval_sam2_hq44k.py
eval_sam2_hq44k.py
 
 
evalade20k.sh
evalade20k.sh
 
 
evalcoco.sh
evalcoco.sh
 
 
observers.py
observers.py
 
 
plot_positional_prune_entropy.ipynb
plot_positional_prune_entropy.ipynb
 
 
plot_positional_prune_entropy_sam2.ipynb
plot_positional_prune_entropy_sam2.ipynb
 
 
pyproject.toml
pyproject.toml
 
 
requirements.txt
requirements.txt
 
 
run_percent_sweep.sh
run_percent_sweep.sh
 
 
run_percent_sweep_quick.sh
run_percent_sweep_quick.sh
 
 
run_sweep.py
run_sweep.py
 
 
run_sweep.sh
run_sweep.sh
 
 
sam_engine.py
sam_engine.py
 
 
sav_results.csv
sav_results.csv
 
 
sweep_config.yaml
sweep_config.yaml
 
 
test.py
test.py
 
 
test_sam2_monkey_patch.py
test_sam2_monkey_patch.py
 
 
uv.lock
uv.lock
 
 
visualize_encoder_latency_sam2.py
visualize_encoder_latency_sam2.py
 
 
visualize_encoder_memory_sam2.py
visualize_encoder_memory_sam2.py
 
 

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license
apache-2.0

COCO Evaluation Instructions

To run COCO evaluation with this repository, follow these steps:

Run the evaluation script:

sh ./evalcoco.sh

Configure model size:

Adjust the model parameters by modifying the rtn.yaml configuration file

Select detector or processor:

Customize the detector or processor by editing the evalcoco.sh script file

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