Comments (2)
hugoliv
commented on May 24, 2024
Hello,
I used Netron to explore the graph, I didn't connect the interpolate layer. The input_id is 0 and ouput_id is 590 but the shape is 1x112x112 and not 1x224x224.
from mobile-semantic-segmentation.
akirasosa
commented on May 24, 2024
About 1. It's because iOS app requires 3 channels. So, I do it in model. It's also possible for you to write code in iOS which converts single channel to 3.
About 2, I don't have it in current code. It's not so difficult to show mask as twice large size in iOS.
from mobile-semantic-segmentation.
Related Issues (20)
- How to calculate the mean and std value? HOT 1
- ImportError: cannot import name 'relu6' HOT 3
- Generate ppm files for custom datasets HOT 1
- How Can I convert this model to TFLITE HOT 13
- Is there a way to test the trained model on a single image ? HOT 2
- I trained with my own dataset input size is 224x224, but the output is 112 x 112 HOT 3
- do you train on Mobilenetv2 Unet pytorch? HOT 1
- dataset transform? HOT 1
- How long to train the model? HOT 3
- which dataset did you use when you trained the pre_trained model ? HOT 3
- Any Inference Speed Record in CPU Mode HOT 9
- Why you didn't need to add a relu operation after deconvolution? HOT 1
- Please consider Hydra
- Is is possible to have dataset with different image sizes?
- Is it possible to convert the model to Tensorflow JS model?
- How to run the model? HOT 2
- integrate with Lightning ecosystem CI
- README Training Instructions Broken
- Output data type is MultiArray after run_convert_coreml.py
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