-
### Backbone
* EfficientNet
* https://github.com/zhanghang1989/ResNeSt
### Pre-trained model
* better pre-trained model than ImageNet-1.2M pre-trained model
- Weakly supervised Instagram-1G (…
-
Hi Hang Zhang!
First I want to thank you for the amazing repository.
I'm trying to train DeepLabv3 with ResNeSt-101 backbone (DeepLab_ResNeSt101_PContext) for the task of semantic segmentation …
-
HI,
I use ResNeSt model to train my own dataset.
from this following link : https://github.com/zhanghang1989/ResNeSt#transfer-learning-models.
Now I can transform model to ONNX without any error.
…
-
I take resnest as backbone in instance segmentation. However when trained model on my dataset, I got this error.
` File "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 91…
-
Thanks for your excellent work!
Are the search criteria in regnet suitable for ShuffleNetV2? If I want to search a shuffleNet model with FLOPs 60M, can I design a search space based on this code?
-
Hello,
I am interested in the ResNeSt and find your source in here github. I find this code is modified base on the Pytorch Resnet source code. I guess this may be useful for Keypoint RCNN in the P…
-
## Description
I convert the resnest50 model to onnx
https://cv.gluon.ai/model_zoo/classification.html?from=groupmessage
https://github.com/apache/incubator-mxnet/issues/19808
COMMAND:
onnx2…
-
Due to hight downloading volume violate the Wasabi cloud rule, please manually download the models for now.
https://drive.google.com/file/d/10GXXl9ekgD3-npa7LiXZpQg6FI1bwpky/view?usp=sharing
http…
-
作者您好
前阵子因为环境问题执行不了 (现在可以了)
但发现有些问题
1.
首先我利用
model = encoding.models.get_model('DeepLab_ResNeSt50_ADE', pretrained=True)
是可以训练的，但训练完的模型要做test时却出现以下错误
model = torch.load(str(model))
![ima…
-