添加hustvl/yolos-tiny 模型 更改模型的路径

models/ObjectDetection/hustvl/yolos-tiny.py

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+from transformers import YolosImageProcessor, YolosForObjectDetection
+from PIL import Image
+import torch
+import requests
+
+url = "http://images.cocodataset.org/val2017/000000039769.jpg"
+image = Image.open(requests.get(url, stream=True).raw)
+
+model = YolosForObjectDetection.from_pretrained('hustvl/yolos-tiny', local_files_only=True)
+image_processor = YolosImageProcessor.from_pretrained("hustvl/yolos-tiny", local_files_only=True)
+
+inputs = image_processor(images=image, return_tensors="pt")
+outputs = model(**inputs)
+
+# model predicts bounding boxes and corresponding COCO classes
+logits = outputs.logits
+bboxes = outputs.pred_boxes
+
+
+# print results
+target_sizes = torch.tensor([image.size[::-1]])
+results = image_processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[0]
+for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
+    box = [round(i, 2) for i in box.tolist()]
+    print(
+        f"Detected {model.config.id2label[label.item()]} with confidence "
+        f"{round(score.item(), 3)} at location {box}"
+    )