Comments (6)
@conan2333
There are several things you can have a try to boost the inference speed.
- replace a lightweight model as the backbone, e.g. MobileNetV3
- network pruning
- deploy on TensorRT or TVM
However, have to notice, all these approaches may slightly decrease the model performance.
from self-correction-human-parsing.
Thank you for your fast reply.
I will have a look for your advices.
from self-correction-human-parsing.
I search the TensorRT. But it need a onnx model. Can you please provide the onnx model?
from self-correction-human-parsing.
Please refer to #6 when you want to export the model to onnx. And also welcome to pull request if you have finished it.
from self-correction-human-parsing.
Please refer to #6 when you want to export the model to onnx. And also welcome to pull request if you have finished it.
@conan2333
There are several things you can have a try to boost the inference speed.
- replace a lightweight model as the backbone, e.g. MobileNetV3
- network pruning
- deploy on TensorRT or TVM
However, have to notice, all these approaches may slightly decrease the model performance.
Please refer to #6 when you want to export the model to onnx. And also welcome to pull request if you have finished it.
Hi, I find you have offered the lightweight model of mobilenetv2, but only do a classification job. refer to some comment "invert residual network layer2,layer3,layer4,layer5" in backbone/mobilenet. So i think i should modify this script according AugumentCE2P.py . Am I right?
Can you offer the mIoU score of MobileNetV2 ?
Thank you very much!
from self-correction-human-parsing.
@conan2333 How did you create the custom dataset? All I could find were some colors for labels mentioned in the paper. Can you kinldy explain which tool you used for annotation and how did you select the exact color with the corresponding label.
from self-correction-human-parsing.
Related Issues (20)
- LIP dataset not available HOT 3
- How to visualize edge prediction? HOT 1
- Where is the pre-trained model for Multiple Human Parsing?
- Training Time is huge
- CIHP dataset Training
- Testing on CPU HOT 12
- MulitHuman Parsing Resutls
- How to trained on custom dataset? HOT 2
- LIP dataset - crashed link HOT 1
- CUDA problem on training HOT 1
- generating human-parsing HOT 1
- Hi! I want to convert model to onnx but i have some error with InPlaceABNSync. can you give me some solutions. My error "RuntimeError: ONNX export failed: Couldn't export Python operator InPlaceABNSyn"
- Pascal-Person-Part求助
- Training with others backbone
- Excuse me, why is it stuck here all the time?I need help.
- Real-time test problem
- Cannot reproduce the results from the paper - Problem with InPlaceABNSync?
- 我下载到本地后,在pycharm上运行出的结果和colab上边运行的结果不一样是为啥呀??都是按照colab的步骤做的呀! HOT 1
- Which torch and torchvision version are appropriate? HOT 1
- Wrong Inference Results of demo with pretrained HOT 1
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from self-correction-human-parsing.