Comments (3)
How hard is to adapt the test_segmentation.py file in the EdgeNets repository?
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A little difficult since I never use pytorch. I realized that you have the .onnx templates, would you have them in tensorflow .pb? I am trying to do this conversion with onnx but am having some errors:
ValueError: Dimensions must be equal, but are 32 and 112 for 'mul' (op: 'Mul') with input shapes: [32], [1,32,112,112].
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I am not sure if we will have tensorflow .pb files in the near future. However, the mentioned error is because of incorrect mapping of the PRelu layer. Please ask on the appropriate forums
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Related Issues (20)
- About cyclic learning rate HOT 1
- Downsampling HOT 1
- Training issues (from pretrained weights) HOT 1
- a strange question
- a strange question
- A strange problem encountered during training
- A strange problem encountered during training HOT 15
- About Power consumption HOT 9
- Turning ESPNet into c++ cudastream problem HOT 2
- train.txt create HOT 2
- compared with ShuffleNet V2 HOT 3
- train/eval for another dataset HOT 1
- Espnet .pth with another scale factor HOT 1
- You have following values as class labels: [ 0 1 2 4 5 6 7 8 10 11 13 255] Some problem with labels. Please check image file: ./city/gtFine/train/cologne/cologne_000000_000019_gtFine_labelTrainIds.png Exiting!! HOT 2
- Network parameters of segmentation model in the paper HOT 5
- Have you used ImageNet pretrained weight to train epsnetv2 for segmentation? HOT 1
- Can anyone upload a pretrained model? HOT 1
- The tool to calculate FLOPs
- Can this model be used for regression tasks?
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