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related paper
|摘要|
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|Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classific…
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where these model files
Implementation List
FCNet
SegNet
U-Net
FusionNet
FC-DenseNet
ENet
LinkNet
RefineNet
PSPNet
Mask R-CNN
DecoupledNet
GAN-SS
G-FRNet
thank you
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`from net.refinenet.blocks import un_pool, ResidualConvUnit, RefineNetBlock, RefineNetBlockImprovedPooling
ImportError: cannot import name 'RefineNetBlockImprovedPooling'`
Happy new year and thank…
ygean updated
4 years ago
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Hi @eragonruan ,
I am getting following error when i am running demo.py file.
tensorflow.python.framework.errors_impl.NotFoundError: Tensor name "feature_fusion/Conv/BatchNorm/gamma/ExponentialMo…
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Hello, Thank you for sharing your code!
When I run the RefineNet model as follows:
import os
os.environ["CUDA_VISIBLE_DEVICES"] = '0'
net = RefineNet4Cascade((3, 224), num_classes=24)
…
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hi @yuanyuanli85 您好
我在coco2014数据集测试人体骨骼点,使用了refinenet.py定义的模型函数build_network_resnet101,训练时,loss有所下降。但是在验证时候,人体骨骼点没检测出来。不知何故?
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First of all I want to say this project does appear to cover a workflow that goes from start to finish using only open source code, which I appreciate. The sample output example you showed from the p…
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Hello,
Could you please confirm if you use the labelled training data of same geographic location (US) to train your FCN network ? Second, as you mentioned that the training data was having resolut…
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Hi,
While running grab_new_objects.py encountering following issue:
python grabnet/tests/grab_new_objects.py --obj-path contact_meshes/camera.ply --rhm-path mano_v1_2/
2022-10-19 16:56:41,969 -…
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Planned updates
* Upgrade to pytorch-1.0
* Allow support for models to have custom loss functions.
* Pretrained models on S3 for common models-dataset pairs
* Compatibility matrix for dataset wi…