Mlmodel jobs

I have created a MLModel file using CreateML in Xcode. I need someone to write the code to generate predictions, based on an excel file as input. I will provide you with the excel file, and MLModel file. You need need to provide me with the swift code that reads these 2 files, and generate a new csv will with all the columns of the excel, but 2 new columns. 1) Classification, 2) Probability. both of these columns are generated by the MLmodel.

The task is simple. Budget $20. Follow the steps in this link: Prepare a mlmodel, that takes a float16 or image as input and gives output a float16/float32/image. We are planning to use it in our mobile app, so we will check it first on mobile that it works to validate your work. Do not bid if you have no previous experience of similar works.

The task is simple. Follow the steps in this link: Prepare a mlmodel, that takes a float16 or image as input and gives output a float16/float32/image. We are planning to use it in our mobile app, so we will check it first on mobile that it works to validate your work. Do not bid if you have no previous experience of similar works.

This is a simple task for someone who has worked with python and some machine learning codes. I am looking for someone to convert a .npy file to an mlmodel file using neural networks. We will use this mlmodel file in a swift/objective-c project. There are lot of ml project in github. I will give you few github links, where there are pretrained model files included (for example as .npy file). You will have to convert it to as mlmodel file. Our final goal is to use it in iOS app project, so it should work there perfectly.

This is a simple task for someone who has worked with python and some machine learning codes. I am looking for someone to convert a .npy file to an mlmodel file using neural networks. There are lot of ml project in github. I will give you few github links, where there are pretrained model files included (for example as .npy file). You will have to convert it to as mlmodel file. Our final goal is to use it in iOS app project, so it should work there perfectly.

I have a PyTorch model that needs to get converted into MLModel. As well, build a sample app that feeds the model with inputs and gets and processes the model output. Deliverables Xcode sample project. I need eventually an Xcode project purely in Swift, that use native Swift (no third party none-Swift based) to handle everything. So an app that pick an image and a mask (stupid-simple mockup), and results in an inpainted image. Also involves conversion of the PyTotch model to MLModel using coremltools (Apple official Python library to covert models) and use it for the inputting process. The model paper and source file are here: We need to use the model to generate high quality inpainted version of the image (please read the README to understand the difference

I need to convert the PyTorch model to MLModel, and integrate it within Xcode sample project to actually get a proper output (the final inpainted image). You can see the info about the model and source here:

I have a PyTorch model that needs to get converted into MLModel. As well, build a sample app that feeds the model with inputs and gets and processes the model output. I need Xcode sample project.

I have a PyTorch model that needs to get converted into MLModel. As well, build a sample app that feeds the model with inputs and gets and processes the model output.

Request details I have a PyTorch model that needs to get converted into MLModel. As well, build a sample app that feeds the model with inputs and gets and processes the model output. Deliverables Xcode sample project.

I have a PyTorch model that needs to get converted into MLModel. As well, build a sample app that feeds the model with inputs and gets and processes the model output. Xcode sample project.

Hello, if you don't have experience doing this please do not bid on the p...project. I have a .pth model from ESRGAN. I would like to convert this to a .mlmodel file that can be used in ios. In ios I would like the model to be simplified and set up to input an image and output an image. I can use coremltools to create a .mlmodel file but I get the error when I try to open the mlmodel file in xcode: "There was a problem decoding this Core ML document validator error: Layer 'input' produces an output named 'input' which is also an output produced by the layer '__input'. " I am running ubuntu and I can share the docker container I am using. Here is a link to the mlmodel I am trying to import into xcode

Hello I have trained model using matterport MaskRCNN implementation.I need to convert it into .mlmodel for ios deployment

We have TensorFlow checkpoints that should be converted to MLModel. Afterwards, we will use the created MLModels in our iOS project.

Hello, I would like to know how to convert .tflite files to .mlmodel files. What do I have: - python environment 2.x.x What do I need to know: 1. What libraries do I need to convert .tflite files? (coremltools are enough for this?) 2. How do I preview .tflite file (what are input and output types?) 3. How do I preview .mlmodel file? (what are input and output types?) 4. How do I define input and output for .mlmodel when converting from .tfilte? 5. How do I convert .mlmodel to .mlmodel to change its input and output types? (how do I change the number of channels, change rgb to grayscale and grayscale to rgb?)

Hello everyone, recently I have started machin...recognize nails on camera and color them with any selected color. IMPORTANT!! All I need to have it done is just one module (not the final App ready for AppStore) of the app. Only open camera, and smoothly detect nails and color them with red color. That is all. What do I have: - .tflite file trained to recognize nails on the hand. What do I need to know: - how to convert .tflite file to .mlmodel and use it within ios app with Swift What do I need to do: - recognize nails on the camera, create extra layer and cover them with any color (example in attachments) - make it working very smooth and fast (what technologies do I need to use to accomplish that task?) Similar App is here:

I am working on an image recognition CoreML ios app and I have converted my CNN keras model to .mlmodel to be deployed on CoreML mobile application but I'm getting this error message: "coremlc: Error: compiler error: Espresso exception: "Invalid argument":generic_reshape_kernel: Invalid bottom shape (64 8 -2 1 1) for reshape to (4096 -1 1 1 1)Command CoreMLModelCompile failed with a nonzero exit code" This is the only error message I get when running the app. What is the source of this error and how to fix it? I am glad to corporate with someone with Convolutional Neural Network (handwritten word/ image recognition) and CoreML background. Thank you

I am working on an image recognition CoreML ios app and I have converted my CNN keras model to .mlmodel to be deployed on CoreML mobile application but I'm getting this error message: "coremlc: Error: compiler error: Espresso exception: "Invalid argument":generic_reshape_kernel: Invalid bottom shape (64 8 -2 1 1) for reshape to (4096 -1 1 1 1)Command CoreMLModelCompile failed with a nonzero exit code" This is the only error message I get when running the app. What is the source of this error and how to fix it? I am looking for someone with Convolutional Neural Network (image recognition) and CoreML background. Any help would be appreciated, Thank you.

We want an application that can train and give mlmodel as an output with given style input image. We will give it different style images and it will train it and give us mlmodel output. Mlmodel should accept different size of images as input and output.

I need to fix my small issue, it only takes 30 mins if you are an expert The output ai application is not predict correctly when i convert from my own IMAGE CLASSIFICATION model(.h5) to mlmodel My maximun budget is 30$

I'm trying to edit Apple Flower recogniser example for recognising an artwork/paintings. It's working actually very well. Every time I point the camera to the artwork I trained before, it's always accurate. Problem is, it's showing > 98% confidence when I'm pointing to my table for example... Or almost anywhere where I point (not on artwork) it shows to match. You don't need to do whole project, just looking for advice. Apple example: Text me, for more info. Pavol

We have created an ML model (on Keras (.h5 file) that can be converted into a CoreML model (.mlmodel) also). Your job is to deploy this CoreML model on an iOS application.

Hi Ting Y., As discussed and agreed I am confirming the details here. So here is the requirement : To develop a model to be used in conjunction with an iphone app to detect hands. - The model needs to be of .mlmodel format (This can be converted from various well known platforms using a python tool provided by Apple) - The model will help detect hands in the live camera feed and identify the position hands to draw a box around it. - Model should only detect hands and nothing else. The detection should work with 10 foot. - The bounding box should consist of hand portion from fingers upto wrist Specifications (Model Evaluation Parameters) - Input: Image - Output: MultiArray (Grid with bounding box data) iPhone app that needs to detect hands upto wrist. Once hand is detected, it...

...develop a model to be used in conjunction with an iphone app to detect screws. - The model needs to be of .mlmodel format (This can be converted from various well known platforms using a python tool provided by Apple) - The model will help detect bolts and holes in the live camera feed and identify the missing of bolts in case its not placed. - More details will be provided to elected developer. Specifications (Model Evaluation Parameters) - Input: Image - Output: MultiArray (Grid with bounding box data) We wish to use the model in an iphone app. There is a python tool provided by Apple that allows you to convert a model from below options to be converted into .mlmodel Caffe v1 Keras 1.2.2+ scikit-learn 0.18 XGBoost 0.6 LIBSVM 3.22 Is there any pre...

- We are looking for someone to develop a model to be used in conjunction with an iphone app to detect hands. - The model needs to be of .mlmodel format (This can be converted from various well known platforms using a python tool provided by Apple) - The model will help detect hands in the live camera feed and identify the position hands to draw a box around it. - Model should only detect hands and nothing else. - The bounding box should consist of hand portion from fingers upto wrist Specifications (Model Evaluation Parameters) - Input: Image - Output: MultiArray (Grid with bounding box data)

Добрый день как вариант можно оттренировать модель в TensorFlow и перевести в mlmodel, прилагаю Jupiter Notebook с описанием процесса, нужно обучить модель и сохранить в формате mlmodel. Могу рассмотреть существующие решения.