Comments (7)
@gwangsc Thanks. :-) However, MPS now has a graph API, which does pretty much the same thing as Forge. Currently Forge no longer even works on iOS 11, and it's going to be tricky to keep it backwards compatible with iOS 10. Anyway, we'll see how it works out. ;-)
from forge.
CoreML makes most of Forge obsolete. 😉
from forge.
Core ML is highly integration , Forge is flexible :)
from forge.
@hollance not really.
I like Forge better than CoreML. CoreML is hard to debug as a block box. And it is hard to customize with preprocessing and postprocessing.
Please keep your amazing working going!
from forge.
With dilated conv and deconv layers supported in MPSCNN in iOS 11, Forge can do even more. And to run a model on devices with iOS 10 and older, Forge is the way to go.
from forge.
will it possible to convert YOLO9000 model to CoreML and use it with CoreML? sorry if it is too basic question. Since I just start to learn all the lingos
from forge.
@steve21124 I've only converted Tiny YOLO so far, not the full one. (The full YOLO9000 will be too slow to run on mobile anyway, unless you want to run it on static photos.)
from forge.
Related Issues (20)
- Are you going to develop Deconvolution layers?) HOT 2
- EXC_BAD_ACCESS on release executions HOT 4
- How to implement element wise layer in forge HOT 2
- How do I only use 1 or 2 classes for the YOLO example? HOT 1
- implant Yolo to ARKit HOT 3
- Greate job!
- code signing blocked mmap() HOT 1
- Forge is not support ios 11.3 HOT 4
- Error: framework not found Forge for architecture arm64
- Upload to appstore error
- Update ios version and xcode version, can not run any more. HOT 2
- Custom TinyYOLO doesn't work HOT 2
- update to Xcode 9.4 HOT 3
- mhh, not running HOT 1
- Reshape Layer HOT 1
- Error: the destination image texture is temporary and has a readCount of 0. HOT 2
- Add layer HOT 2
- Regarding offset for picking values for bounding box values HOT 6
- Results of MPSCNNConvlotion HOT 6
- [question] TensorFlow Lite HOT 4
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from forge.