| 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) |