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使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

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我想问一下车辆多标签文件目录如何放置,我显示一直找不到文件。

Hi, Can you share you trainig set? Big thanks!

Hi thanks for share your nice project. but i can not download your model from Bidu website, its chines i think. please if possible for you , send me for...

只对车辆类型训练的时候,训练精度高而测试精度一直在70%左右呢?

请问作者是怎么制作数据集的呢,主要想知道如何准备数据集的标签,我们现在也在做车辆检测和多属性识别

inp_dim = 768这个是怎么计算出来的? 是根据模型来算的吗?

作者目前的模型可以识别车身颜色、朝向和车辆类型3种属性,请问能否自己修改代码,新增自己需要的属性?比如车辆的品牌识别,这个网络能否完成车辆品牌这种细粒度分类任务呢?

Tranied models-vehicle detection https://pan.baidu.com/s/1HwTCVGTmdqkeLnqnxfNL8Q Tranied models-vehicle classification https://pan.baidu.com/s/1XmzjvCgOrrVv0NWTt4Fm3g 在运行Vehicle_DC脚本之前,先下载上面的模型文件或者使用自己预先训练好的模型文件,将car_540000.weights(用于检测)放在项目根目录,将epoch_39.pth(用于多标签识别)放在根目录下的checkpoints目录下,即可使用Vehicle_DC运行。 Before running Vehicle_DC, I cannot download the datasets from the provided links. Is it possible an update, please? Thank you