Update README.md
Browse files
README.md
CHANGED
|
@@ -44,6 +44,68 @@ num_params: 3,504,872
|
|
| 44 |
The license information of the original model was missing.
|
| 45 |
|
| 46 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
### BibTeX entry and citation info
|
| 48 |
|
| 49 |
```bibtex
|
|
|
|
| 44 |
The license information of the original model was missing.
|
| 45 |
|
| 46 |
|
| 47 |
+
## Use
|
| 48 |
+
|
| 49 |
+
```python
|
| 50 |
+
#!/usr/bin/env python3
|
| 51 |
+
import argparse, json
|
| 52 |
+
import numpy as np
|
| 53 |
+
from PIL import Image
|
| 54 |
+
from huggingface_hub import hf_hub_download
|
| 55 |
+
from ai_edge_litert.compiled_model import CompiledModel
|
| 56 |
+
|
| 57 |
+
def preprocess(img: Image.Image) -> np.ndarray:
|
| 58 |
+
img = img.convert("RGB")
|
| 59 |
+
w, h = img.size
|
| 60 |
+
s = 256
|
| 61 |
+
if w < h:
|
| 62 |
+
img = img.resize((s, int(round(h * s / w))), Image.BILINEAR)
|
| 63 |
+
else:
|
| 64 |
+
img = img.resize((int(round(w * s / h)), s), Image.BILINEAR)
|
| 65 |
+
left = (img.size[0] - 224) // 2
|
| 66 |
+
top = (img.size[1] - 224) // 2
|
| 67 |
+
img = img.crop((left, top, left + 224, top + 224))
|
| 68 |
+
|
| 69 |
+
x = np.asarray(img, dtype=np.float32) / 255.0
|
| 70 |
+
x = (x - np.array([0.485, 0.456, 0.406], dtype=np.float32)) / np.array(
|
| 71 |
+
[0.229, 0.224, 0.225], dtype=np.float32
|
| 72 |
+
)
|
| 73 |
+
return np.transpose(x, (2, 0, 1))
|
| 74 |
+
|
| 75 |
+
def main():
|
| 76 |
+
ap = argparse.ArgumentParser()
|
| 77 |
+
ap.add_argument("--image", required=True)
|
| 78 |
+
args = ap.parse_args()
|
| 79 |
+
|
| 80 |
+
model_path = hf_hub_download("litert-community/MobileNet-v2", "mobilenet_v2.tflite")
|
| 81 |
+
labels_path = hf_hub_download(
|
| 82 |
+
"huggingface/label-files", "imagenet-1k-id2label.json", repo_type="dataset"
|
| 83 |
+
)
|
| 84 |
+
with open(labels_path, "r", encoding="utf-8") as f:
|
| 85 |
+
id2label = {int(k): v for k, v in json.load(f).items()}
|
| 86 |
+
|
| 87 |
+
img = Image.open(args.image)
|
| 88 |
+
x = preprocess(img)
|
| 89 |
+
|
| 90 |
+
model = CompiledModel.from_file(model_path)
|
| 91 |
+
inp = model.create_input_buffers(0)
|
| 92 |
+
out = model.create_output_buffers(0)
|
| 93 |
+
|
| 94 |
+
inp[0].write(x)
|
| 95 |
+
model.run_by_index(0, inp, out)
|
| 96 |
+
|
| 97 |
+
req = model.get_output_buffer_requirements(0, 0)
|
| 98 |
+
y = out[0].read(req["buffer_size"] // np.dtype(np.float32).itemsize, np.float32)
|
| 99 |
+
|
| 100 |
+
pred = int(np.argmax(y))
|
| 101 |
+
label = id2label.get(pred, f"class_{pred}")
|
| 102 |
+
|
| 103 |
+
print(f"Top-1 class index: {pred}")
|
| 104 |
+
print(f"Top-1 label: {label}")
|
| 105 |
+
if __name__ == "__main__":
|
| 106 |
+
main()
|
| 107 |
+
```
|
| 108 |
+
|
| 109 |
### BibTeX entry and citation info
|
| 110 |
|
| 111 |
```bibtex
|