collision-detector:从不参与运动的观察者的角度检测乘用车之间的碰撞(例如观察另外两辆撞车的自动驾驶汽车)

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通过从虚拟数据中学习来创建可预测现实生活中的车辆碰撞的模型的尝试。 详细信息待定。 笔记: 1.此时,车辆跟踪依赖于Nanonets Deep SORT实施 在feature_extractor目录下克隆 将__init__.py放在目录中: nanonets_object_tracking和nanonets_object_tracking/deep_sort 在deepsort.py将from deep_sort...中的deepsort.py替换from deep_sort... (例如from .deep_sort...有一个点) 复制feature_extractor/nanonets_object_tracking/siamese_net.py > feature_extractor/siamese_net.py (否则, feature_extractor/siam

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