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# Getting Started with MAM
This doc provides the instructions to reproduce the MAM.
## Data Preparation
- During training, we used foregrounds from AIM, Distinctions-646, AM2K, Human-2K, and RefMatte to ensure a diverse range of instance classes. We used COCO and BG20K to provide a mix of both real-world and synthetic backgrounds.
- During the evaluation, we tested MAM on a variety of image matting benchmarks including the semantic image matting benchmarks
PPM-100, AM2K, PM-10K, the instance image matting benchmark RWP636, HIM2K, and the referring image matting benchmark RefMatte-RW100.
## Training MAM
- Please prepare all these datasets and specify the paths of these datasets in the config file.
- Set up the environment and install MAM following the instructions in the [INSTALL.md](INSTALL.md).
- Train MAM with SAM ViT-B checkpoint and 8 GPUs
```bash
python -m torch.distributed.launch --nproc_per_node=8 main.py --config config/MAM-ViTB-8gpu.toml
```
- Train MAM with SAM ViT-L checkpoint and 8 GPUs
```bash
python -m torch.distributed.launch --nproc_per_node=8 main.py --config config/MAM-ViTL-8gpu.toml
```
- Train MAM with SAM ViT-H checkpoint and 8 GPUs
```bash
python -m torch.distributed.launch --nproc_per_node=8 main.py --config config/MAM-ViTH-8gpu.toml
```
## Evaluation
- Please prepare all these test sets of benchmarks and specify the paths of them in the config file.
- Set up the environment and install MAM following the instructions in the [INSTALL.md](INSTALL.md).
- Evaluate MAM based on SAM ViT-B checkpoint on each benchmark
- PPM-100
```bash
python inference_benchmark.py --config config/MAM-ViTB-8gpu.toml --checkpoint checkpoints/mam_vitb.pth --benchmark ppm100 --output outputs/ppm100 --postprocess
python evaluation/evaluation_ppm100.py --pred-dir outputs/ppm100
```
- AM2K
```bash
python inference_benchmark.py --config config/MAM-ViTB-8gpu.toml --checkpoint checkpoints/mam_vitb.pth --benchmark am2k --output outputs/am2k --postprocess
python evaluation/evaluation_am2k.py --pred-dir outputs/am2k
```
- PM-10K
```bash
python inference_benchmark.py --config config/MAM-ViTB-8gpu.toml --checkpoint checkpoints/mam_vitb.pth --benchmark pm10k --output outputs/pm10k --postprocess
python evaluation/evaluation_pm10k.py --pred-dir outputs/pm10k
```
- RWP636
```bash
python inference_benchmark.py --config config/MAM-ViTB-8gpu.toml --checkpoint checkpoints/mam_vitb.pth --benchmark rwp636 --output outputs/rwp636 --postprocess
python evaluation/IMQ_quick_rwp.py path/to/outputs/rwp636 path/to/RealWorldPortrait-636/alpha
```
- HIM2K
```bash
python inference_benchmark.py --config config/MAM-ViTB-8gpu.toml --checkpoint checkpoints/mam_vitb.pth --benchmark him2k --output outputs/him2k/ --maskguide
python evaluation/IMQ.py path/to/outputs/him2k path/to/HIM2K/alphas/natural/
python inference_benchmark.py --config config/MAM-ViTB-8gpu.toml --checkpoint checkpoints/mam_vitb.pth --benchmark him2k_comp --output outputs/him2k_comp --maskguide
python evaluation/IMQ.py path/to/outputs/him2k_comp path/to/HIM2K/alphas/comp/
```
- RefMatte-RW100
```bash
python inference_benchmark.py --config config/MAM-ViTB-8gpu.toml --checkpoint checkpoints/mam_vitb.pth --benchmark rw100 --output outputs/rw100 --maskguide --prompt text/box/point
python evaluation/evaluation_refmatte.py --pred-dir outputs/rw100
```
GroundingDINO/LICENSE 0 → 100644
View file @ ce0e5303
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
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"You" (or "Your") shall mean an individual or Legal Entity
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"Work" shall mean the work of authorship, whether in Source or
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5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
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result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
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has been advised of the possibility of such damages.
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the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
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Copyright 2020 - present, Facebook, Inc
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
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Unless required by applicable law or agreed to in writing, software
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See the License for the specific language governing permissions and
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GroundingDINO/build/temp.linux-x86_64-cpython-310/.ninja_log 0 → 100644
View file @ ce0e5303
# ninja log v5
1 1117 1726814305091673245 /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/hip_version.o dc24a7e65e913216
1 5121 1726814309094673830 /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cpu_hip.o 7b15fd93a5465f9b
1 12540 1726814316504674913 /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cuda.o caf888eb5cef511c
1 15995 1726814319969675419 /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/vision.o 6bea862664f0798c
GroundingDINO/build/temp.linux-x86_64-cpython-310/build.ninja 0 → 100644
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ninja_required_version = 1.3
cxx = c++
nvcc = /opt/dtk/bin/hipcc
cflags = -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -DWITH_CUDA -I/home/bailuo/code/Matting-Anything/GroundingDINO/groundingdino/models/GroundingDINO/csrc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/opt/conda/lib/python3.10/site-packages/torch/include/THH -I/opt/dtk/include -I/opt/conda/include/python3.10 -c
post_cflags = -fPIC -D__HIP_PLATFORM_HCC__=1 -DUSE_ROCM=1 -fPIC -D__HIP_PLATFORM_HCC__=1 -DUSE_ROCM=1 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1013"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
cuda_cflags = -DWITH_CUDA -I/home/bailuo/code/Matting-Anything/GroundingDINO/groundingdino/models/GroundingDINO/csrc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/opt/conda/lib/python3.10/site-packages/torch/include/THH -I/opt/dtk/include -I/opt/conda/include/python3.10 -c
cuda_post_cflags = -fPIC -D__HIP_PLATFORM_HCC__=1 -DUSE_ROCM=1 -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --gpu-max-threads-per-block=1024 -finline-asm-ptx -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1013"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=1 --offload-arch=gfx906 --offload-arch=gfx926 --offload-arch=gfx928 -fno-gpu-rdc -std=c++17
cuda_dlink_post_cflags =
ldflags =
rule compile
command = $cxx -MMD -MF $out.d $cflags -c $in -o $out $post_cflags
depfile = $out.d
deps = gcc
rule cuda_compile
command = $nvcc $cuda_cflags -c $in -o $out $cuda_post_cflags
build /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cpu_hip.o: compile /home/bailuo/code/Matting-Anything/GroundingDINO/groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cpu_hip.cpp
build /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cuda.o: cuda_compile /home/bailuo/code/Matting-Anything/GroundingDINO/groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cuda.hip
build /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/hip_version.o: cuda_compile /home/bailuo/code/Matting-Anything/GroundingDINO/groundingdino/models/GroundingDINO/csrc/hip_version.hip
build /home/bailuo/code/Matting-Anything/GroundingDINO/build/temp.linux-x86_64-cpython-310/groundingdino/models/GroundingDINO/csrc/vision.o: compile /home/bailuo/code/Matting-Anything/GroundingDINO/groundingdino/models/GroundingDINO/csrc/vision.cpp
GroundingDINO/groundingdino.egg-info/PKG-INFO 0 → 100644
View file @ ce0e5303
Metadata-Version: 2.1
Name: groundingdino
Version: 0.1.0
Summary: open-set object detector
Home-page: https://github.com/IDEA-Research/GroundingDINO
Author: International Digital Economy Academy, Shilong Liu
License: Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
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not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
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form, that is based on (or derived from) the Work and for which the
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of this License, Derivative Works shall not include works that remain
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Contribution(s) alone or by combination of their Contribution(s)
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or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
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within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
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the conditions stated in this License.
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any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
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Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
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or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
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incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
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APPENDIX: How to apply the Apache License to your work.
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same "printed page" as the copyright notice for easier
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Licensed under the Apache License, Version 2.0 (the "License");
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limitations under the License.
License-File: LICENSE
GroundingDINO/groundingdino.egg-info/SOURCES.txt 0 → 100644
View file @ ce0e5303
LICENSE
setup.py
groundingdino/__init__.py
groundingdino/version.py
groundingdino.egg-info/PKG-INFO
groundingdino.egg-info/SOURCES.txt
groundingdino.egg-info/dependency_links.txt
groundingdino.egg-info/requires.txt
groundingdino.egg-info/top_level.txt
groundingdino/datasets/__init__.py
groundingdino/datasets/transforms.py
groundingdino/models/__init__.py
groundingdino/models/registry.py
groundingdino/models/GroundingDINO/__init__.py
groundingdino/models/GroundingDINO/bertwarper.py
groundingdino/models/GroundingDINO/fuse_modules.py
groundingdino/models/GroundingDINO/groundingdino.py
groundingdino/models/GroundingDINO/ms_deform_attn.py
groundingdino/models/GroundingDINO/transformer.py
groundingdino/models/GroundingDINO/transformer_vanilla.py
groundingdino/models/GroundingDINO/utils.py
groundingdino/models/GroundingDINO/backbone/__init__.py
groundingdino/models/GroundingDINO/backbone/backbone.py
groundingdino/models/GroundingDINO/backbone/position_encoding.py
groundingdino/models/GroundingDINO/backbone/swin_transformer.py
groundingdino/models/GroundingDINO/csrc/hip_version.hip
groundingdino/models/GroundingDINO/csrc/vision.cpp
groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cpu_hip.cpp
groundingdino/models/GroundingDINO/csrc/MsDeformAttn/ms_deform_attn_cuda.hip
groundingdino/util/__init__.py
groundingdino/util/box_ops.py
groundingdino/util/get_tokenlizer.py
groundingdino/util/inference.py
groundingdino/util/logger.py
groundingdino/util/misc.py
groundingdino/util/slconfig.py
groundingdino/util/slio.py
groundingdino/util/time_counter.py
groundingdino/util/utils.py
groundingdino/util/visualizer.py
groundingdino/util/vl_utils.py
\ No newline at end of file
GroundingDINO/groundingdino.egg-info/requires.txt 0 → 100644
View file @ ce0e5303
torch
torchvision
transformers
addict
yapf
timm
numpy
opencv-python
supervision
pycocotools
GroundingDINO/groundingdino/config/GroundingDINO_SwinB.py 0 → 100644
View file @ ce0e5303
batch_size = 1
modelname = "groundingdino"
backbone = "swin_B_384_22k"
position_embedding = "sine"
pe_temperatureH = 20
pe_temperatureW = 20
return_interm_indices = [1, 2, 3]
backbone_freeze_keywords = None
enc_layers = 6
dec_layers = 6
pre_norm = False
dim_feedforward = 2048
hidden_dim = 256
dropout = 0.0
nheads = 8
num_queries = 900
query_dim = 4
num_patterns = 0
num_feature_levels = 4
enc_n_points = 4
dec_n_points = 4
two_stage_type = "standard"
two_stage_bbox_embed_share = False
two_stage_class_embed_share = False
transformer_activation = "relu"
dec_pred_bbox_embed_share = True
dn_box_noise_scale = 1.0
dn_label_noise_ratio = 0.5
dn_label_coef = 1.0
dn_bbox_coef = 1.0
embed_init_tgt = True
dn_labelbook_size = 2000
max_text_len = 256
text_encoder_type = "bert-base-uncased"
use_text_enhancer = True
use_fusion_layer = True
use_checkpoint = True
use_transformer_ckpt = True
use_text_cross_attention = True
text_dropout = 0.0
fusion_dropout = 0.0
fusion_droppath = 0.1
sub_sentence_present = True
GroundingDINO/groundingdino/config/GroundingDINO_SwinT_OGC.py 0 → 100644
View file @ ce0e5303
batch_size = 1
modelname = "groundingdino"
backbone = "swin_T_224_1k"
position_embedding = "sine"
pe_temperatureH = 20
pe_temperatureW = 20
return_interm_indices = [1, 2, 3]
backbone_freeze_keywords = None
enc_layers = 6
dec_layers = 6
pre_norm = False
dim_feedforward = 2048
hidden_dim = 256
dropout = 0.0
nheads = 8
num_queries = 900
query_dim = 4
num_patterns = 0
num_feature_levels = 4
enc_n_points = 4
dec_n_points = 4
two_stage_type = "standard"
two_stage_bbox_embed_share = False
two_stage_class_embed_share = False
transformer_activation = "relu"
dec_pred_bbox_embed_share = True
dn_box_noise_scale = 1.0
dn_label_noise_ratio = 0.5
dn_label_coef = 1.0
dn_bbox_coef = 1.0
embed_init_tgt = True
dn_labelbook_size = 2000
max_text_len = 256
text_encoder_type = "bert-base-uncased"
use_text_enhancer = True
use_fusion_layer = True
use_checkpoint = True
use_transformer_ckpt = True
use_text_cross_attention = True
text_dropout = 0.0
fusion_dropout = 0.0
fusion_droppath = 0.1
sub_sentence_present = True
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