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I am trying to use deeplab-resnet on custom data and more precisely I am using the small dataset of Kitty you mentioned in the instructions.
I have noticed that every time I save a model's weights …
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I want to do validation every 1000 iters to select the model.
But in the train.py code, the data is feed into the model when initializing the model
` net = DeepLabResNetModel({'data': image_batch},…
mokii updated
6 years ago
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Hi @aimerykong ,
Thanks a lot for all your support.I am reimplmenting your matconvnet code to tensoflow and I was also able to add the mask gating layer.I will post to github as soon as possible.
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I want to run the train.py for a different dataset which has 38 classes. I have made the changes below:
- Changed NUM_CLASSES in train.py to 38
- At train.py I changed this text:
```
#…
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I am training your code with res101 in cityscape dataset (for deeplab pre-trained it worked well). I set up the `main.py` as
```
flags.DEFINE_float('momentum', 0.9, 'momentum')
flags.DEFINE_strin…
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Thanks for sharing a nice work. I have achieved the Pascal VOC as you did. Right now, I would like to evaluate the performance in cityscape. I have created the training, validation and testing file as…
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As I try to train on the PASCAL VOC dataset, I received this error:
/……
s: 6.99GiB
I tensorflow/core/common_runtime/bfc_allocator.cc:702] Stats:
Limit: 7573333607
InUse: …
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Hello, your implementation has achive the results compared to the original paper?
I want to known,thanks!
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I need to have ImageNet-pretrained Deformable ResNet-v1-101 model... where can i get because only ResNet-V1-101 model is available as resnet_v1_101-0000.params.
I would like to have for deformable…
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This is a discussion about using pre-train, not the bug
As you know, the Imagenet has 4 blocks, and the Imagenet pre-trained will store the weight of the 4 blocks. The size of these block will be
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