Comments (3)
sacmehta
commented on June 14, 2024
ESPNetv2 which version? ESPNetv2-1.0?
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sacmehta
commented on June 14, 2024
ESPNetv2-2.0 full 32-bit precision network (not quantized one) image classification on iPhone7 is 100+ FPS, which means it is running at close to 10ms per image. So, you should get better speed on your GPU.
Also, it is not good to compare PyTorch and TensorFlow models directly.
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cs-heibao
commented on June 14, 2024
@sacmehta
how about the PyTorch model speed on 1080Ti graphics card?
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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
- train/eval for another dataset HOT 1
- Question about predict on espnetv2 HOT 3
- 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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