python最简单的传参方法-第一次见这种方法
我又一个python文件，名为grounding_dino_demo.py，其代码为：
from groundingdino.util.inference import load_model, load_image, predict, annotate, Model import cv2 CONFIG_PATH = "GroundingDINO/groundingdino/config/GroundingDINO_SwinT_OGC.py" CHECKPOINT_PATH = "./groundingdino_swint_ogc.pth" DEVICE = "cuda" IMAGE_PATH = "assets/demo7.jpg" TEXT_PROMPT = "Horse. Clouds. Grasses. Sky. Hill." BOX_TRESHOLD = 0.35 TEXT_TRESHOLD = 0.25 image_source, image = load_image(IMAGE_PATH) model = load_model(CONFIG_PATH, CHECKPOINT_PATH) boxes, logits, phrases = predict( model=model, image=image, caption=TEXT_PROMPT, box_threshold=BOX_TRESHOLD, text_threshold=TEXT_TRESHOLD, device=DEVICE, ) annotated_frame = annotate(image_source=image_source, boxes=boxes, logits=logits, phrases=phrases) cv2.imwrite("annotated_image.jpg", annotated_frame)
当我在外部传参时：执行
python3 grounding_dino_demo.py --config GroundingDINO/groundingdino/config/GroundingDINO_SwinT_OGC.py --grounded_checkpoint groundingdino_swint_ogc.pth --input_image assets/xs_7.jpg --output_dir "outputs" --box_threshold 0.3 --text_threshold 0.25 --text_prompt "tomato"