tucan9389 / awesome-ml-demos-with-ios Goto Github PK
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License: MIT License
The challenge projects for Inferencing machine learning models on iOS
License: MIT License
https://developer.apple.com/videos/all-videos/
var all_titles = ""
var isEven = true
$("html body section ul ul li section section.row section.column a").each(function() {
isEven = !isEven
if (isEven) {
var url = window.location.origin + $(this).attr("href")
var components = url.split("/")
var wwdcName = components[components.length-3].toUpperCase()
var seesionNumber = components[components.length-2]
var title = $(this).text().trim()
all_titles += "- " + "[" + wwdcName + " " + seesionNumber + " Session - " + title + "]" + "(" + url + ")" + "\n"
}
});
all_titles
Model Name | Problem | Demo Project | Performance Test | Demo Gif | Added in here |
---|---|---|---|---|---|
MobileNetV2 | Image Classification | Done | Done | Done | TODO |
Resnet50 | Image Classification | Done | Done | TODO |
TODO |
SqueezeNet | Image Classification | Done | Done | TODO |
TODO |
MNIST | Drawing Classification | TODO |
TODO |
TODO |
TODO |
YOLOv3-Tiny | Object Detection | Done | Done | TODO |
TODO |
YOLOv3 | Object Detection) | Done | Done | TODO |
TODO |
DeeplabV3 | Image Segmentation | Done | Done | Done | TODO |
FCRN-DepthPrediction | Depth Estimation | Done | Done | Done | TODO |
Model Name | Problem | Demo Project | Performance Test | Demo Gif | Added in here |
---|---|---|---|---|---|
BERT-SQuAD | Question Answering | TODO |
TODO |
TODO |
TODO |
ㅠㅠ
I have
i used deeplab model on real-time ios application but i got very slow capture .did there any solution to improve fps??
Example:
Repo | Model | XS, XS Max |
XR | X, 8, 8+ | 7, 7+ | 6S, 6S+ | 6, 6+ |
---|---|---|---|---|---|---|---|
PoseEstimation-CoreML | cpm | 27 | 27 | 32 | 39 | 44 | 115 |
PoseEstimation-CoreML | hourhglass | 6 | 7 | 29 | 42 | 48 | 94 |
Face Detection with Vision Framework
Face Landmark Detection
https://github.com/Willjay90/AppleFaceDetection
https://developer.apple.com/documentation/vision
Core ML (Vision)
can this project do image processing tasks?(like denoising or enhancement, input : rgb, output: rgb)
I am working on the TF Lite model on Android, and I have got into trouble for a while. I wonder this problem: except some classification, detection, pose estimation and other official models, other models may have problems moving to the android, due to the API problems, etc.?
Do appreciate it. (input: 2 images (left and right camera) ; output: one disparity map )
I find it hard to move the model to the android, and errors occurs at 'Interpreter' class.
In process...
You can tracking on the renewal-table branch.
Repositories | iPhone 11 series | iPhone 12 series | iPhone SE (2nd) |
---|---|---|---|
PoseEstimation-CoreML | ❌ | ❌ | ❌ |
PoseEstimation-TFLite | ❌ | ❌ | ❌ |
ObjectDetection-CoreML | ❌ | ❌ | ❌ |
DepthPrediction-CoreML | ❌ | ❌ | ❌ |
SemanticSegmentation-CoreML | ❌ | ❌ | ❌ |
ImageClassification-CoreML | ❌ | ❌ | ❌ |
ImageClassification-TFLite | ❌ | ❌ | ❌ |
TextDetection-CoreML | ❌ | ❌ | ❌ |
TextRecognition-MLKit | ❌ | ❌ | ❌ |
✅: measured
❌: not measure yet
Hi Contributors,
I found this repo from my colleague and I am very interested in this WordRecognition-CoreML-MLKit. Has there been any update on this repo?
Thanks
Rui
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