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优化推理,模型更新,镜像重新打包
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@@ -280,7 +280,7 @@ def predict_onnx_dfine(image,draw_result=False):
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rebuild_color[class_id] = colors[i % len(colors)]
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rebuild_color[class_id] = colors[i % len(colors)]
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result = {k: [] for k in unique_labels}
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result = {k: [] for k in unique_labels}
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for i, box in enumerate(filtered_boxes):
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for i, box in enumerate(filtered_boxes):
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if box[3]>160 and box[4] < 45:
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if box[2]>160 and box[3] < 45:
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continue
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continue
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label_val = filtered_labels[i]
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label_val = filtered_labels[i]
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class_id = int(label_val)
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class_id = int(label_val)
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