mlmodel

问题 I have converted a Keras model to a MLModel using coremltools 4.0 with limited success. It works but only if I use an MLMultiArray for the output and covert to an image. Converting to an image takes magnitudes longer than inferencing; making it unusable. If I try to change the MLModel spec to use images for output I get this error running prediction: Failed to convert output Identity to image: NSUnderlyingError=0x2809bad00 {Error Domain=com.apple.CoreML Code=0 "Invalid array shape ( 2048,

问题 I have converted a Keras model to a MLModel using coremltools 4.0 with limited success. It works but only if I use an MLMultiArray for the output and covert to an image. Converting to an image takes magnitudes longer than inferencing; making it unusable. If I try to change the MLModel spec to use images for output I get this error running prediction: Failed to convert output Identity to image: NSUnderlyingError=0x2809bad00 {Error Domain=com.apple.CoreML Code=0 "Invalid array shape ( 2048,

来源： https://stackoverflow.com/questions/63902637/unable-to-retrieve-mlmodel-from-coreml-model-deployment

来源： https://stackoverflow.com/questions/62325752/mlmodels-output-shape-is-empty-why-is-shape-empty