cs-heibao

RuntimeError: stack expects each tensor to be equal size, but got [1, 5] at entry 0 and [2, 5] at entry 1

1

two different images, the first image has one object, and the second image has two object ``` def fetch(self, possibly_batched_index): if self.auto_collation: data = [self.dataset[idx] for idx in possibly_batched_index] else:...

training with the pretrained model 'resnext-101-kinetics-hmdb51_split1.pth', cannot success

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` if opt.resume_path: print('loading checkpoint {}'.format(opt.resume_path)) checkpoint = torch.load(opt.resume_path) assert opt.arch == checkpoint['arch'] opt.begin_epoch = checkpoint['epoch'] model.load_state_dict(checkpoint['state_dict'],strict=False) if not opt.no_train: optimizer.load_state_dict(checkpoint['optimizer']) ` the last line 'optimizer.load_state_dict(checkpoint['optimizer'])' cannot success, and the...

@leoxiaobin Hi, when I was training along with validation under my own dataset, when do validation occurs this kind of errors: AssertionError: Results do not correspond to current coco set...

@leoxiaobin Hi, I've found that you exchanged the stride size of conv1 and conv2 in the first Bottleneck of layer2, layer3, layer4, just to make sure with you(since, a paper...

how about the Overall architecture's convolution operation feature maps outchannel?

@MarvinTeichmann I've tried to train multinet2.json with one gpu(1080Ti), and it seems collapse, have you use multiple GPUs? the information as follows: 2018-12-13 17:56:15.831145: W tensorflow/core/common_runtime/bfc_allocator.cc:219] Allocator (GPU_0_bfc) ran out...

@MarvinTeichmann File "demo.py", line 426, in tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "demo.py", line 313, in main load_out = load_united_model(logdir) File "demo.py", line 254, in load_united_model postfix=model)...

After compile DCNv2 successful, still can not import DCN

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(CenterTrack) ccv@SYS-4029GP-TRT:/media/data/CenterTrack-master/src$ python demo.py tracking --load_model ../models/coco_tracking.pth --demo ../data/ --gpus 2 import DCN failed Import DCN failed import DCN failed import DCN failed /home/ccv/miniconda3/envs/CenterTrack/lib/python3.6/site-packages/sklearn/utils/linear_assignment_.py:22: FutureWarning: The linear_assignment_ module is deprecated...

@ex4sperans hi, I want to do some experiments about the efficiency among pruning-before and pruning-after, and how to reload the sparsed model? thanks

how about the inference time on 1080Ti?