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A multi-camera vehicle detection, tracking and re-identification system
Hi!
I have train my own cnn model ,and I want to evaluate it on VeRi. But I don't find the VeRi_gallery_info.txt in the dataset VeRi. So can you show me how to make a VeRi_gallery_info.txt ?
I'm trying to run.sh with the model file linked in the rep. This is the error I get. I already added the pythonpath for detectron to my bashrc.
[Detection] Finish converting 1 / 1 video seqences into images Traceback (most recent call last): File "tools/infer_simple_txt.py", line 38, in <module> from core.config import assert_and_infer_cfg ImportError: No module named core.config
hello, thank you for your excellent works. But, I can not get the dataset of track3. Can you share your download dataset with me. Thanks in advance.
I'm getting the below error while trying to run the program, also the s3 bucket link is not available, hope your help to get rid of this issue.
File "tools/infer_simple_txt.py", line 104, in main
args.weights = cache_url(args.weights, cfg.DOWNLOAD_CACHE)
File "/home/d5han/Documents/projects/python/fyp/vehicle_tracking/AIC2018_iamai/detectron/detectron/utils/io.py", line 101, in cache_url
'bucket: {}').format(_DETECTRON_S3_BASE_URL)
AssertionError: Detectron only automatically caches URLs in the Detectron S3 bucket: https://dl.fbaipublicfiles.com/detectron
Thank you
When I try to train VeRidataset with triplet only,the loss always stay the same.Is that normal? thanks
I used create_VeRi_database.py
to process the VeRi dataset and then I did python train.py --info VeRi_train_info.txt --lr 0.001 --batch_size 64 --n_epochs 20 --n_layer 18 --dataset VeRi
to train the model but the following error was encountered, why?
total data: 37746
training data: 35858
validation data: 1888
Epoch 0: 3%|█▎ | 1216/35858 [00:03<01:01, 566.62it/s, loss=6.35]Traceback (most recent call last):
File "/home/ypz/pycharmfiles/AIC2018_iamai/ReID/ReID_CNN/train.py", line 331, in <module>
train(args,Dataset,train_Dataloader,val_Dataloader,net)
File "/home/ypz/pycharmfiles/AIC2018_iamai/ReID/ReID_CNN/train.py", line 96, in train
for i_batch,samples in enumerate(train_Dataloader):
File "/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 210, in __next__
return self._process_next_batch(batch)
File "/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 230, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
IndexError: Traceback (most recent call last):
File "/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 42, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/opt/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 42, in <listcomp>
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/ypz/pycharmfiles/AIC2018_iamai/ReID/ReID_CNN/utils.py", line 238, in __getitem__
img_name,label = self.img_list[idx],self.label_list[idx]
IndexError: list index out of range
Hello. The link provided to download the pre-trained model does not work. Please help.
Thank you for your code and i want to train with market1501 and Duke datasets on your code.
How can i train?
I'm confused with creating training list's text
Or, can i get trained weights?
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