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[WACV23] A strong baseline for body part-based person re-identification

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I am bit confused about the final result by running the main.py when inferencing. Are they just a couple of feature embeddings for the input images?

Hello Authors, Thank you for creating this repository and I have explored it. I'd like to know whether we only need to replace ResNet50 with OSNet to support the OSNet...

Hi, Can you provide a simple demo? input 2 image and 2 mask, output all distances. Thank you!

Hello, thank you for your amazing work! How can I visualize the attention heatmap for different body parts as well as the whole body? I think it should be under...

Hi authors, Thanks for sharing your code. I trained the model. Every thing works normally. I want to generate human parsing masks. I got the error when concatenating the confidence...

Hey I got this error after executing this command: !python /content/bpbreid/torchreid/scripts/main.py --config-file configs/bpbreid/bpbreid_market1501_train.yaml This error is displayed after the completion of train steps: Traceback (most recent call last): File "/content/bpbreid/torchreid/scripts/main.py",...

**Hello, author; Can you help me solve this problem?** (bpbreid1) D:\downloads\bpbreid-main>python scripts/get_labels.py --source ./ABSK * OpenPifPaf model -> shufflenetv2k16 Processing: 0batch [00:00, ?batch/s] * MaskRCNN model -> COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml Processing: 0%|...

Hi, author I'm training on the p_duke dataset but there is an error. I don't know how to fix it.

Hello, Vladimir. I followed your paper and changed the backbone to resnet and the input size to 256*128. I repeated the experiment twice and attached the results below: ![image](https://user-images.githubusercontent.com/28508213/234345661-4a7ebbc8-6706-4a93-be4f-ebe8b856f8ed.png) ![image](https://user-images.githubusercontent.com/28508213/234345699-9f9ab0b6-9531-432f-bc44-71edece9cd0b.png)...

Hello, is there any option to export the model to ONNX in similar fashion like original deep-reid repo? PS: Kudos to great work!:)