Comments (5)
You can't work around it, unless it is the first or last layer in the network (in which case you need to remove it and provide the layer's functionality in Swift). Core ML does not support lambda layers.
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It appears to be the last layer. Any chance you can explain what it's doing and I can try to write the last layer in swift?
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@seantempesta take a look into my demo https://www.youtube.com/watch?v=p3-3kN_fIz0
I was using FullYolo v2 and the thing I did for working around is remove the reorg in yolo.cfg and retrained your model.
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Removing the 'reorg' layer did the trick. Thanks @oishi89!
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After running swiftenv install, curl error happens.
curl: (60) SSL certificate problem: self signed certificate in certificate chain
More details here: https://curl.haxx.se/docs/sslcerts.html
curl performs SSL certificate verification by default, using a "bundle"
of Certificate Authority (CA) public keys (CA certs). If the default
bundle file isn't adequate, you can specify an alternate file
using the --cacert option.
If this HTTPS server uses a certificate signed by a CA represented in
the bundle, the certificate verification probably failed due to a
problem with the certificate (it might be expired, or the name might
not match the domain name in the URL).
If you'd like to turn off curl's verification of the certificate, use
the -k (or --insecure) option.
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Related Issues (20)
- Why is the feature set 255x13x13 ? HOT 3
- Unable to desearilize object Validation error HOT 2
- it delays HOT 1
- Performance HOT 9
- scaleFit instead of scaleFill HOT 1
- TypeError: __init__() got an unexpected keyword argument 'dtype' HOT 3
- Performance decrease HOT 4
- UIview and adding shapes HOT 3
- error when run " python coreml.py" HOT 5
- Shape of the converted model is wrong HOT 11
- Speed on A11 vs A12 HOT 1
- AttributeError: module 'tensorflow' has no attribute 'concat_v2' HOT 1
- MLMultiArray datatype Flot32 issue HOT 9
- __init__() got an unexpected keyword argument 'dtype' HOT 1
- Converting this repo to support Yolov5 HOT 1
- Error trying to convert model to CoreML HOT 4
- Error converting from h5 to Core ML HOT 1
- Cannot find 'YOLOv3' in scope HOT 1
- assert(features[0].count == 255 * 13 * 13) crash HOT 1
- Get multiple outputs from MPSNNGraph HOT 1
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