Upload python/example.py with huggingface_hub
Browse files- python/example.py +23 -0
python/example.py
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""ResNet50 Age Classification Example."""
|
| 3 |
+
import sys
|
| 4 |
+
from resnet50_sdk import ResNet50Classifier
|
| 5 |
+
|
| 6 |
+
def main():
|
| 7 |
+
if len(sys.argv) < 2:
|
| 8 |
+
print("Usage: python example.py <image_path>")
|
| 9 |
+
sys.exit(1)
|
| 10 |
+
|
| 11 |
+
model_path = "../models/model.axmodel" # relative to package
|
| 12 |
+
image_path = sys.argv[1]
|
| 13 |
+
|
| 14 |
+
classifier = ResNet50Classifier(model_path)
|
| 15 |
+
results = classifier.classify(image_path, top_k=5)
|
| 16 |
+
|
| 17 |
+
print(f"Image: {image_path}")
|
| 18 |
+
print("Top-5 predictions:")
|
| 19 |
+
for i, r in enumerate(results):
|
| 20 |
+
print(f" {i+1}. {r['label']}: {r['confidence']:.4f}")
|
| 21 |
+
|
| 22 |
+
if __name__ == "__main__":
|
| 23 |
+
main()
|