Updated requirements and README
Browse files- README.md +20 -0
- requirements.txt +112 -17
README.md
CHANGED
@@ -17,6 +17,26 @@ Official PyTorch Implementation of the <a href="https://github.com/CASIA-IVA-Lab
|
|
17 |
The **Fast Segment Anything Model(FastSAM)** is a CNN Segment Anything Model trained by only 2% of the SA-1B dataset published by SAM authors. The FastSAM achieve a comparable performance with
|
18 |
the SAM method at **50× higher run-time speed**.
|
19 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
20 |
|
21 |
## License
|
22 |
|
|
|
17 |
The **Fast Segment Anything Model(FastSAM)** is a CNN Segment Anything Model trained by only 2% of the SA-1B dataset published by SAM authors. The FastSAM achieve a comparable performance with
|
18 |
the SAM method at **50× higher run-time speed**.
|
19 |
|
20 |
+
## Local Setup (Anaconda Environment Recommended)
|
21 |
+
|
22 |
+
* Create a new conda environment
|
23 |
+
|
24 |
+
```
|
25 |
+
conda create -n fastsam python=3.11
|
26 |
+
```
|
27 |
+
|
28 |
+
* Install PyTorch 2.5.0 with CUDA 12.4
|
29 |
+
|
30 |
+
```
|
31 |
+
conda install pytorch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 pytorch-cuda=12.4 -c pytorch -c nvidia
|
32 |
+
```
|
33 |
+
|
34 |
+
* Install rest of the requirements
|
35 |
+
|
36 |
+
```
|
37 |
+
pip install -r requirements.txt
|
38 |
+
```
|
39 |
+
|
40 |
|
41 |
## License
|
42 |
|
requirements.txt
CHANGED
@@ -1,20 +1,115 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6 |
git+https://github.com/openai/CLIP.git
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
ultralytics==8.0.121
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
20 |
|
|
|
1 |
+
aiofiles==23.2.1
|
2 |
+
aiohappyeyeballs==2.4.3
|
3 |
+
aiohttp==3.10.10
|
4 |
+
aiosignal==1.3.1
|
5 |
+
altair==5.4.1
|
6 |
+
annotated-types==0.7.0
|
7 |
+
anyio==4.6.2.post1
|
8 |
+
async-timeout==4.0.3
|
9 |
+
attrs==24.2.0
|
10 |
+
Authlib==1.3.2
|
11 |
+
certifi==2024.8.30
|
12 |
+
cffi==1.17.1
|
13 |
+
charset-normalizer==3.4.0
|
14 |
+
click==8.0.4
|
15 |
git+https://github.com/openai/CLIP.git
|
16 |
+
cryptography==43.0.3
|
17 |
+
cycler==0.12.1
|
18 |
+
datasets==3.0.2
|
19 |
+
dill==0.3.8
|
20 |
+
exceptiongroup==1.2.2
|
21 |
+
fastapi==0.112.4
|
22 |
+
ffmpy==0.4.0
|
23 |
+
filelock==3.16.1
|
24 |
+
frozenlist==1.5.0
|
25 |
+
fsspec==2024.9.0
|
26 |
+
ftfy==6.3.0
|
27 |
+
gradio==4.36.1
|
28 |
+
gradio_client==1.0.1
|
29 |
+
h11==0.14.0
|
30 |
+
hf_transfer==0.1.8
|
31 |
+
httpcore==1.0.6
|
32 |
+
httpx==0.27.2
|
33 |
+
huggingface-hub==0.26.1
|
34 |
+
idna==3.10
|
35 |
+
importlib_resources==6.4.5
|
36 |
+
itsdangerous==2.2.0
|
37 |
+
Jinja2==3.1.4
|
38 |
+
jsonschema==4.23.0
|
39 |
+
jsonschema-specifications==2024.10.1
|
40 |
+
kiwisolver==1.4.7
|
41 |
+
markdown-it-py==3.0.0
|
42 |
+
MarkupSafe==2.1.5
|
43 |
+
matplotlib==3.2.2
|
44 |
+
mdurl==0.1.2
|
45 |
+
mpmath==1.3.0
|
46 |
+
multidict==6.1.0
|
47 |
+
multiprocess==0.70.16
|
48 |
+
narwhals==1.10.0
|
49 |
+
networkx==3.4.2
|
50 |
+
numpy==2.1.2
|
51 |
+
nvidia-cublas-cu12==12.4.5.8
|
52 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
53 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
54 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
55 |
+
nvidia-cudnn-cu12==9.1.0.70
|
56 |
+
nvidia-cufft-cu12==11.2.1.3
|
57 |
+
nvidia-curand-cu12==10.3.5.147
|
58 |
+
nvidia-cusolver-cu12==11.6.1.9
|
59 |
+
nvidia-cusparse-cu12==12.3.1.170
|
60 |
+
nvidia-nccl-cu12==2.21.5
|
61 |
+
nvidia-nvjitlink-cu12==12.4.127
|
62 |
+
nvidia-nvtx-cu12==12.4.127
|
63 |
+
opencv-python==4.10.0.84
|
64 |
+
orjson==3.10.10
|
65 |
+
packaging==24.1
|
66 |
+
pandas==2.2.3
|
67 |
+
pillow==10.4.0
|
68 |
+
pip==22.3.1
|
69 |
+
propcache==0.2.0
|
70 |
+
protobuf==3.20.3
|
71 |
+
psutil==5.9.8
|
72 |
+
pyarrow==17.0.0
|
73 |
+
pycparser==2.22
|
74 |
+
pydantic==2.9.2
|
75 |
+
pydantic_core==2.23.4
|
76 |
+
pydub==0.25.1
|
77 |
+
Pygments==2.18.0
|
78 |
+
pyparsing==3.2.0
|
79 |
+
python-dateutil==2.9.0.post0
|
80 |
+
python-multipart==0.0.12
|
81 |
+
pytz==2024.2
|
82 |
+
PyYAML==6.0.2
|
83 |
+
referencing==0.35.1
|
84 |
+
regex==2024.9.11
|
85 |
+
requests==2.32.3
|
86 |
+
rich==13.9.3
|
87 |
+
rpds-py==0.20.0
|
88 |
+
ruff==0.7.0
|
89 |
+
scipy==1.14.1
|
90 |
+
seaborn==0.12.2
|
91 |
+
semantic-version==2.10.0
|
92 |
+
setuptools==65.5.1
|
93 |
+
shellingham==1.5.4
|
94 |
+
six==1.16.0
|
95 |
+
sniffio==1.3.1
|
96 |
+
spaces==0.30.4
|
97 |
+
starlette==0.38.6
|
98 |
+
sympy==1.13.1
|
99 |
+
tomlkit==0.12.0
|
100 |
+
torch==2.5.0
|
101 |
+
torchvision==0.20.0
|
102 |
+
tqdm==4.66.5
|
103 |
+
triton==3.1.0
|
104 |
+
typer==0.12.5
|
105 |
+
typing_extensions==4.12.2
|
106 |
+
tzdata==2024.2
|
107 |
ultralytics==8.0.121
|
108 |
+
urllib3==2.2.3
|
109 |
+
uvicorn==0.32.0
|
110 |
+
wcwidth==0.2.13
|
111 |
+
websockets==11.0.3
|
112 |
+
wheel==0.44.0
|
113 |
+
xxhash==3.5.0
|
114 |
+
yarl==1.16.0
|
115 |
|