awesome-semantic-segmentation-pytorch
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please help me! ValueError: Model file is not found. Downloading or trainning.
amax@amax:/data/yh/awesome-semantic-segmentation-pytorch/scripts$ ./dfanet_resnet18_pascal_voc.sh
/home/amax/anaconda3/lib/python3.6/site-packages/requests/init.py:80: RequestsDependencyWarning: urllib3 (1.25.3) or chardet (3.0.4) doesn't match a supported version!
RequestsDependencyWarning)
2019-08-21 14:15:23,071 semantic_segmentation INFO: Using 1 GPUs
2019-08-21 14:15:23,071 semantic_segmentation INFO: Namespace(aux=False, aux_weight=0.4, backbone='resnet18', base_size=520, batch_size=4, crop_size=480, dataset='pascal_voc', device='cuda', distributed=False, epochs=80, jpu=False, local_rank=0, log_dir='../runs/logs/', log_iter=10, lr=0.0001, model='dfanet', momentum=0.9, no_cuda=False, num_gpus=1, resume=None, save_dir='~/.torch/models', save_epoch=10, skip_val=False, start_epoch=0, use_ohem=False, val_epoch=1, warmup_factor=0.3333333333333333, warmup_iters=0, warmup_method='linear', weight_decay=0.0001, workers=4)
Found 14752 images in the folder ../datasets/voc/VOC2019
Found 388 images in the folder ../datasets/voc/VOC2019
Traceback (most recent call last):
File "train.py", line 326, in
Pleae change the path to your model path.
@Tramac Hi,thanks for your work, I wonder how could I get the pre-trained weights of backbone network Xception_A for training DFANet? I check the model_store and not find any url or link for it.
@wangq95 Hi, did you get the pre-trained weights of backbone network Xception_A?
set pre-trained is False