liueic revised this gist . Go to revision
1 file changed, 2 insertions
infer.py
| @@ -1,3 +1,5 @@ | |||
| 1 | + | # https://s3.juniortree.com/pic/2026/07/09/6d5379216c9f4097.webp | |
| 2 | + | ||
| 1 | 3 | from pathlib import Path | |
| 2 | 4 | ||
| 3 | 5 | import numpy as np | |
liueic revised this gist . Go to revision
1 file changed, 41 insertions
infer.py(file created)
| @@ -0,0 +1,41 @@ | |||
| 1 | + | from pathlib import Path | |
| 2 | + | ||
| 3 | + | import numpy as np | |
| 4 | + | import openvino as ov | |
| 5 | + | import openvino_genai as ov_genai | |
| 6 | + | from PIL import Image | |
| 7 | + | ||
| 8 | + | ||
| 9 | + | MODEL_DIR = Path("models/medgemma-1.5-4b-it-int4-ov") | |
| 10 | + | IMAGE_PATH = Path("images/test.png") | |
| 11 | + | DEVICE = "CPU" # 有 Intel 核显/独显也可以试 "GPU" | |
| 12 | + | ||
| 13 | + | ||
| 14 | + | def main() -> None: | |
| 15 | + | if not MODEL_DIR.exists(): | |
| 16 | + | raise FileNotFoundError(f"Model directory not found: {MODEL_DIR.resolve()}") | |
| 17 | + | ||
| 18 | + | if not IMAGE_PATH.exists(): | |
| 19 | + | raise FileNotFoundError(f"Image not found: {IMAGE_PATH.resolve()}") | |
| 20 | + | ||
| 21 | + | image = Image.open(IMAGE_PATH).convert("RGB") | |
| 22 | + | image_tensor = ov.Tensor(np.array(image)[None]) | |
| 23 | + | ||
| 24 | + | pipe = ov_genai.VLMPipeline(str(MODEL_DIR), DEVICE) | |
| 25 | + | ||
| 26 | + | prompt = "<start_of_image> Describe this medical image in a concise way." | |
| 27 | + | ||
| 28 | + | result = pipe.generate( | |
| 29 | + | prompt, | |
| 30 | + | images=[image_tensor], | |
| 31 | + | max_new_tokens=256, | |
| 32 | + | ) | |
| 33 | + | ||
| 34 | + | if hasattr(result, "texts"): | |
| 35 | + | print(result.texts[0]) | |
| 36 | + | else: | |
| 37 | + | print(result) | |
| 38 | + | ||
| 39 | + | ||
| 40 | + | if __name__ == "__main__": | |
| 41 | + | main() | |
Newer
Older