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The 3rd Place Submission to AICity Challenge 2020 Track2

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您好, 我在跑您的算法AICITY2020_DMT_VehicleReID的时候 执行test.py文件,报错Traceback (most recent call last): File "/media/zq/train/code2/AICITY2020/test.py", line 43, in train_loader, val_loader, num_query, num_classes = make_dataloader(cfg) File "/media/zq/train/code2/AICITY2020/datasets/make_dataloader.py", line 53, in make_dataloader dataset = __factory[cfg.DATASETS.NAMES](root=cfg.DATASETS.ROOT_DIR, plus_num_id=cfg.DATASETS.PLUS_NUM_ID) File "/media/zq/train/code2/AICITY2020/datasets/aic_aicsim.py",...

Hi, Is there a way in your code to visualize the result of your model on the veri dataset?

Hi! I met an error when I run the code : File "...\triplet_loss.py", line 83, in hard_example_mining dist_an, relative_n_inds = torch.min( IndexError: min(): Expected reduction dim 1 to have non-zero...

碰到上面这个问题,提示需要optimizer放在ls_scheduler前面: “In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.“ 请问是调整什么位置呢?

你好! run.sh前面两步: python train.py --config_file='configs/baseline_aic.yml' OUTPUT_DIR "('/data/model/0402_5/')" python train.py --config_file='configs/baseline_aic_finetune.yml' OUTPUT_DIR "('/data/model/0402_6/')" 我理解: 第一步是进行pre-train阶段,使用imagenet预训练模型,输出resnet101_ibn_a_80.pth 第二步是finetune阶段,使用resnet101_ibn_a_80.pth进行训练,冻结前两层,输出resnet101_ibn_a_40.pth 但是在baseline_aic_finetune.yml里,配置项 MODEL: PRETRAIN_CHOICE: 'finetune' PRETRAIN_PATH: '/data/model/0402_6/resnet101_ibn_a_40.pth' 这个PRETRAIN_PATH是不是写错了,应该是/0402_5/resnet101_ibn_a_80.pth? 否则在运行这个train之前,这个文件压根没有生成过? 谢谢!

AI City Challenge 2020 Track2 的数据集官网上已经不提供了,而且申请新的数据集也并未回复,请问能提供联系邮件或者开放的数据集吗?