fg-mindee commited on
Commit
e69f58b
1 Parent(s): 52a70b2

feat: Added first version

Browse files
Files changed (3) hide show
  1. README.md +112 -0
  2. config.json +1 -0
  3. pytorch_model.bin +3 -0
README.md CHANGED
@@ -1,3 +1,115 @@
1
  ---
2
  license: apache-2.0
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: apache-2.0
3
+ tags:
4
+ - image-classification
5
+ - pytorch
6
+ datasets:
7
+ - imagenette
8
  ---
9
+
10
+
11
+ # ReXNet-1.0x model
12
+
13
+ Pretrained on [ImageNette](https://github.com/fastai/imagenette). The ReXNet architecture was introduced in [this paper](https://arxiv.org/pdf/2007.00992.pdf).
14
+
15
+
16
+ ## Model description
17
+
18
+ The core idea of the author is to help the gradient propagation through numerous layers by adding a skip connection.
19
+
20
+
21
+ ## Installation
22
+
23
+ ### Prerequisites
24
+
25
+ Python 3.6 (or higher) and [pip](https://pip.pypa.io/en/stable/)/[conda](https://docs.conda.io/en/latest/miniconda.html) are required to install Holocron.
26
+
27
+ ### Latest stable release
28
+
29
+ You can install the last stable release of the package using [pypi](https://pypi.org/project/pylocron/) as follows:
30
+
31
+ ```shell
32
+ pip install pylocron
33
+ ```
34
+
35
+ or using [conda](https://anaconda.org/frgfm/pylocron):
36
+
37
+ ```shell
38
+ conda install -c frgfm pylocron
39
+ ```
40
+
41
+ ### Developer mode
42
+
43
+ Alternatively, if you wish to use the latest features of the project that haven't made their way to a release yet, you can install the package from source *(install [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) first)*:
44
+
45
+ ```shell
46
+ git clone https://github.com/frgfm/Holocron.git
47
+ pip install -e Holocron/.
48
+ ```
49
+
50
+
51
+ ## Usage instructions
52
+
53
+ ```python
54
+ from PIL import Image
55
+ from torchvision.transforms import Compose, ConvertImageDtype, Normalize, PILToTensor, Resize
56
+ from torchvision.transforms.functional import InterpolationMode
57
+ from holocron.models import model_from_hf_hub
58
+
59
+ model = model_from_hf_hub("frgfm/rexnet1_0x").eval()
60
+
61
+ img = Image.open(path_to_an_image).convert("RGB")
62
+
63
+ # Preprocessing
64
+ config = model.default_cfg
65
+ transform = Compose([
66
+ Resize(config['input_shape'][1:], interpolation=InterpolationMode.BILINEAR),
67
+ PILToTensor(),
68
+ ConvertImageDtype(torch.float32),
69
+ Normalize(config['mean'], config['std'])
70
+ ])
71
+
72
+ input_tensor = transform(img).unsqueeze(0)
73
+
74
+ # Inference
75
+ with torch.inference_mode():
76
+ output = model(input_tensor)
77
+ probs = output.squeeze(0).softmax(dim=0)
78
+ ```
79
+
80
+
81
+ ## Citation
82
+
83
+ Original paper
84
+
85
+ ```bibtex
86
+ @article{DBLP:journals/corr/abs-2007-00992,
87
+ author = {Dongyoon Han and
88
+ Sangdoo Yun and
89
+ Byeongho Heo and
90
+ Young Joon Yoo},
91
+ title = {ReXNet: Diminishing Representational Bottleneck on Convolutional Neural
92
+ Network},
93
+ journal = {CoRR},
94
+ volume = {abs/2007.00992},
95
+ year = {2020},
96
+ url = {https://arxiv.org/abs/2007.00992},
97
+ eprinttype = {arXiv},
98
+ eprint = {2007.00992},
99
+ timestamp = {Mon, 06 Jul 2020 15:26:01 +0200},
100
+ biburl = {https://dblp.org/rec/journals/corr/abs-2007-00992.bib},
101
+ bibsource = {dblp computer science bibliography, https://dblp.org}
102
+ }
103
+ ```
104
+
105
+ Source of this implementation
106
+
107
+ ```bibtex
108
+ @software{Fernandez_Holocron_2020,
109
+ author = {Fernandez, François-Guillaume},
110
+ month = {5},
111
+ title = {{Holocron}},
112
+ url = {https://github.com/frgfm/Holocron},
113
+ year = {2020}
114
+ }
115
+ ```
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225], "arch": "rexnet1_0x", "interpolation": "bilinear", "input_shape": [3, 224, 224], "classes": ["tench", "English springer", "cassette player", "chain saw", "church", "French horn", "garbage truck", "gas pump", "golf ball", "parachute"]}
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a711822d7c992c26046d3f9a3fd3b75f48817ed749e8b6189fc26965a0bcd93d
3
+ size 14400737