Tflite to coreml työt

I need a Python script to retrain a MobileBERT model for a Named Entity Recognition (NER) task in Tensorflow. The model should be able to detect specific entities in text queries relating to various types of media files. The ideal freelancer for this project would have a solid understanding of Python, machine learning, NLP, and experience with BERT models. Features of the Python Script: - Process text queries obtained from a CSV file (example CSV attached) - Detect entities such as: - Persons - Places - Events (e.g., weddings) - Dates - Number of individuals visible - Media type (Image, Video, Audio, Text) - Detailed type (Interview, Landscape, Close Up, Group, etc.) - Length - Content - Retraining should be based on a provided CSV file containing ...

there are 3 models in total but first let's start with one. i will give you the model in tflite and the front end. users need to put text description and the model with classify the description into 5 caragories and show in the frontend. all these will be locally done on device using local database in offline mode. please bid only if you agree to my budget of 25 euros for this and work immidiately.

We're deploying a real-time voice isolation model into Unity. It's a convolutional TFLite model. The model's in a Java wrapper. We're having trouble with the post-processing in our model we could use some help with! The model is not outputting the sound properly. It's affecting the depth leading to static noise. Usually that's bad formatting (sample rate, bit sizes, etc.) but we're looking for someone to help us better diagnose what's going wrong. We are aiming to deploy it this week, and we estimate we will need 2-4 hours of your consulting time.

The models are in TF lite and i have the frontend ready. from flutter the inputs are text so you need to integrate by converting text to the binary for tflite models to work. The work is bery urgent.

...experienced Flutter programmer to integrate an existing Natural Language Processing AI model into my application. This model is specialized in Sentiment Analysis, and your role will focus on successfully incorporating this modality. Your responsibilities will include: - Understanding the nuances of the current AI model - Successfully integrating this model into the Flutter application - Ensuring the application can carry out Sentiment Analysis accurately and efficiently Ideally, you will have: - Proven experience in Flutter and AI model integration - A strong understanding of Natural Language Processing and Sentiment Analysis - An ability to work well with pre-built AI models - Strong problem-solving skills and attention to detail Your ultimate goal is to...

I am developing a flutter application that has a bit of machine learning. I want you to use TFLITE models. Please check the file for details and I can provide the dataset for the training. My budget is not more than 80 euros so please bid if you want to work immediately and agree with the amount. Please check the file before bidding.

I am developing a flutter application that has a bit of machine learning. I want you to use work on TFLITE models. Please check the file for details and I can provide the dataset for the training. My budget is not more than 80 euros so please bid if you want to work immidiately and agree with the amount. Please check the file before bidding.

I am developing a flutter application that has a bit of machine learning. I want you to use work on TFLITE models. Please check the file for details and I can provide the dataset for the training. My budget is not more than 60 euros so please bid if you want to work immidiately and agree with the amount. Please check the file before bidding.

Hey everybody I have a simple modification to my code that now works on specific outputs, and when I train the images on the Teachable Machine website and extract the tflite model and upload it to my project, this problem occurs. E/flutter ( 8569): Invalid argument(s): Output object shape mismatch, interpreter returned output of shape: [1, 2] while shape of output provided as argument in run is: [1, 10, 4] The modification is to the identification code to suit the outputs of my model I will provide you with the complete project file and direct you to some things and sites that will help you in the testing process and determining the model specifications. Here's what I am looking for in a freelance professional: - Proficient in Flutter and...

Hi Freelancers, I am looking for a Flutter developer, who have experience in integration with tflite files for almo applications. I also need to build 7-8 screens apps where I need this integration. No freshers and spam bids pls, this is very serious project so no more simple Flutter development needed here. Type "Flutter Tflite" in your proposal then only I can access you bid.

...Detection I am looking for a freelancer with experience in Tensorflow audio classification to develop a noise detection model using environmental sounds. Skills and Experience Required: - Strong knowledge of Tensorflow and audio classification techniques - Experience in developing specific models for audio classification - Familiarity with environmental sound datasets and preprocessing techniques - Ability to fine-tune and optimize models for noise detection - Understanding of different noise types and their characteristics Project Details: - The project involves developing a noise detection model using Tensorflow for classifying environmental sounds. - The primary purpose of this classification model is to accurately detect and classify different types of noise ...

Biomechanics Work[ 3 weeks time] App [iOS] Analyse Golf Swing as describe below: TECH to be required: - 3D conversion of VIDEOs is something that is going to take lot of time.** - [ Above point is something I am not going to comment as of now, I am looking at some codes to decide what we can do for this, but just to send you my rough estimate, I am furnishing details.] - Tflite Openpose [ to know the angles and all] - Some Algorithm to detect which part of the body [ Upper /Lower is moving first] - Analysis of Takeaway [ I would need your guidance here] as I don’t know this thing very well. Only then I can implement this to code. - If correct, okay , else , show video [ From where are we going to get this LIVE vid...

...line view) - After these 3 videos are converted with AI motion capture. TECH to be required: - 3D conversion of VIDEOs is something that is going to take lot of time.** - [ Above point is something I am not going to comment as of now, I am looking at some codes to decide what we can do for this, but just to send you my rough estimate, I am furnishing details.] - Tflite Openpose [ to know the angles and all] - Some Algorithm to detect which part of the body [ Upper /Lower is moving first] - Analysis of Takeaway [ I would need your guidance here] as I don’t know this thing very well. Only then I can implement this to code. - If correct, okay , else , show video [ From where are we going to get this LIVE video] - ...

I used the `mediapipe_model_maker` to custom train an object detection model for balls and generated a tflite file. The task requires using this custom tflite model in Flutter through the `tflite_flutter` plugin. The goal is to open the camera and perform real-time ball detection. The specific issue I currently have is:

...developer to create an app that can classify images. I need a .tflite model built and plugged in to the app to identify the object in the images. I will give the set of images for training and testing. The app will be used exclusively on Android devices. The layout needs to be optimised for 2 screen sizes: mobile-portrait (5" - 6.7") and tablet-portrait (8"-11"). The UI needs to look clean but minimalistic. App should work on Android version 8 and above. A test image could be: default (in assets) or from camera or from gallery. Programming language should be Kotlin. Needs to be a Android Studio project. On delivery, need to submit a working .APK file, video of using the whole app, source code of project, rea...

I am looking for a Flutter app developer to create an app that focuses on capturing and processing images. The app should have basic functionality with a few features. Ideal Skills and Experience: - Experience with Flutter framework and Dart programming language. - Familiarity with PyTorch and TFLite models for machine learning. - Ability to integrate and run PyTorch and TFLite models in the app. - Strong understanding of mobile app development best practices. - Attention to detail and ability to deliver high-quality work. If you are interested in this project, please provide examples of your previous work and explain your experience with Flutter app development and integrating machine learning models.

Project Description: I am looking for a skilled developer to implement a ball detection and tracking model using TensorFlow TFLite on the Android platform. The model should be based on Recurrent Neural Networks (RNN) and trained using image data. Ideal Skills and Experience: Task Title: Ball Detection and Tracking Model using TensorFlow Lite Task Description: We need a TensorFlow Lite (TFLite) model with the ability to detect and track balls. If you already have a TFLite model file that meets the requirements, you can directly replace the existing assets/models/ file to observe its performance. The attached APK provides a preview of the expected result. The model should solely focus on detecting balls and draw bounding boxes around them, withou...

I am seeking a Flutter developer with experience in object detection and a possible need for custom integration or configuration with a backend. The purpose of the app is educ...integration or configuration with a backend. The purpose of the app is education. Ideal skills and experience for the job include: - Proficiency in Flutter and Dart programming languages - Experience with object detection algorithms and models - Knowledge of TFLite for deploying machine learning models on mobile devices - Familiarity with backend integration and configuration (if necessary) - Strong problem-solving skills and attention to detail in order to ensure accurate object detection in the app - Ability to collaborate with the client to understand their specific requirem...

I just need you to convert my .ipynb to .tflite. My budget is maximum 15 euro so please bid accordingly. I need the job to be done immediately

I need a freelancer to train a tflite model to recognize medical gowns with an accuracy of 80%-89%. The freelancer will need to find and provide a dataset of images for the model to train on. Ideal skills and experience for this job include expertise in machine learning, experience with tflite models, and the ability to find and curate relevant image datasets. To be done in 24hrs.

I just need you to convert my .ipynb to .tflite. My budget is maximum 15 euro so please bid accordingly

I just need you to convert my .ipynb to .tflite. My budget is maximum 15 euro so please bid accordingly

Title: 3D Detection Project for Feet and Shoes I am looking for a freelancer who can develop a 3D detection system for feet and shoes. The system will be used for surveillance and ro...for a freelancer who can develop a 3D detection system for feet and shoes. The system will be used for surveillance and robotics applications. Ideal Skills and Experience: - Experience in developing 3D detection technology for surveillance and robotics - Proficiency in using tflite or onnx for 3D detection methods - Ability to create detailed project proposals outlining the approach and methodology - Past work demonstrating success in developing 3D detection technology The successful freelancer will be required to include a detailed project proposal outlining their approach and meth...

I am looking for a freelancer to fix the inaccurate predictions issue on my tflite model for both Android and IOS clients. The following skills and experience are desired for this project: - Expertise in tflite model development and troubleshooting - Proficiency in Android and IOS development - Experience with predicting algorithms and data analysis - Strong communication skills and ability to work within a tight deadline The project deadline is urgent, with only 1-3 days to resolve the issue and complete the project. Please note that I am only looking for a fix to the issue and no additional features or improvements are required.

I am looking for an experienced Android developer who can create an APK for inferencing a supplied TF Lite model with supplied images on a tablet. The ideal candidate should have experience in Java programming language and have a ready-to-use TF Lite model for inferencing. The project requires the following skills and experience: - Experience in developing APKs for Android devices - Strong knowledge of Java programming language - Familiarity with TF Lite models and inferencing - Ability to work with supplied images and integrate them into the APK The project deliverables should include a fully functional APK for inferencing the supplied TF Lite model with the supplied images on a tablet. The code should be well-documented and easily maintainable. The project timeline is fle...

It is an app that user tflite models to give predictions on what species a duck is by its photo. It is currently crashing in one of the features and I think it has to do with how I'm changing the pages. I don't think I'm using dispose properly. Or I might be switching pages the wrong way.

I need code that will allow me to train an instance segmentation tflite model on a custom dataset for a specific image segmentation task. I need to trial a few architectures and was thinking of trialing YOLOACT and Mask R-NN as an example. Ideally, I want to utilize transfer learning as well. The code should be written in python.

I need an experienced developer who can convert Open AI CLIP model to optimised core ml model Using Apple neural Engine ane-transformers and create a Swift UIKit project with that model added to the project. The project will be a working prototype in which app first as the permission to access all the photos. Then those photos would be indexed by the core ml model and a UISearchBar should show relevant photos for the terms entered by the user. The process of creating the coreml model should be explained by the developer in some documentation or a screencast. The developer should also deliver the script and all the code used to generate the core ml model. Best Regard Prem

I am looking for an experienced AI expert to assist in the development of trained models for an IOS photo editor application, or a script for training. In summary: A script for training Style Transfer models. A script to convert the models to CoreML. The goal is eventually to be able to train my own models and convert them to CoreML for usage in my iOS app. I have access to a Google Colab environment with GPUs which I can use for training. But for testing it would be great if you use your own environment. Usage of existing solutions is allowed provided that the license allows it. Alternatively, would be open to receive ready made Core ML models ready for use if you have already made some. Looking forward

i have a model to detect coin need further optimize

...want to port this project to iOS app. You need to convert this model to use on a mobile app (ios). I will provide you project link. it contains pre-trained models. The converted Model size should be small as greatly as possible, at least smaller than 75-100 mb. Then you need to create Working Mobile Application(iOS) that demonstrates all features mentioned in the Google CoLab project, link. Listing Main features below 1. Align the Input Image selected by the user 2. Generate Result images from Aligned Input Images. We should able to customize this parameter (genes_influence, Styling a photo, result's approximate age, Resolution of the downloaded image) The mobile app should not crash & must be bug-free. The mobile app should not req...

Will pay 1000INR Deadline is 12 hrs Hi there, I am looking for someone who can build a sentiment analysis model with TENSORFLOW NAIVES BAYES. The output needs to be in % of each class and save the model to tflite file Train on lemmatized column Save the model to tflite so i can open and use it for prediction Need a return of % of violence and % of non-violence when predicting Happy Bidding!!

Fix the following issues in the conversion of the yo...following issues in the conversion of the yolov7 and yolov7-w6 based two models to TFLite format- 1. The input tensor should have dimensions (1 x 1280 x 1280 x 3) instead of (1 x 3 x 1280 x 1280) as required by TFLite in android studio. 2. Converted onnx file must generate same results as original yolov7-w6 model. 3. Converted ONNX to TFLite model must generate same results as original one. 4. Test the TFLite in android studio. The code for conversion from yolov7 to onnx is here- But it generates tensor with (1 x 3 x 1280 x 1280) dimension instead of (1 x 1280 x 1280 x 3) so you need to debug or dependent code to fix this issue for me.

Hello, I need someone with experience in tflite and opencv to create a service which can be used to detect the number of people who are looking at a screen.

Developer must have experience in CV, ML, Tensorflow to convert an existing model that works on GPU with python to TFlite for use in Android app.

...invoice_number, ...) to extract from pdf. I now need the following adjustments: 1.) the tool needs to be improved. Because it does not recognize the data correctly for the positions. 2.) I need a simple graphical user interface to learn (train) more PDF files. I need a generic solution for this. Today's solution is not generic, but trained and coded for 3 different PDF formats. 3.) the learned models should learn from each other. This means that the tool should learn automatically when new PDF files are trained. If a new format comes along, it should also recognize it as best as possible without necessarily having to train it. Now I am asking for offers to improve the tool and bring in these 3 points. These are the requirements of the python to...

Train TFLite Model with existing Tensorflow TFRecord and COCO Datasets. All ready have 6000 annotated images.

Build TFLite model from 500 images. Image Annotation are already done.

Build TFLite model from 5000 images. Image Annotation are already done.

Development of bespoke / custom deep-learning-based AI solutions for computer vision applications operating on iot edge device (smart cameras, satellites, home security, logistics, transportation, etc.). Pytorch, TFLite, deep learning, object detection, classification, segmentation, non-standard custom models.

...Israel. We develop a direct-to-consumer platform for the healthcare industry. Our mobile-first platform focuses on creating tools for intelligently capturing medical data (analyzing video frames using ML in real-time), handling high-bitrate high-resolution video pipelines and processing them, and the ability to playback video and images with multiple layers of transformations. Datasya employs 12 developers - employees, outsourced and offshored (Eastern Europe): mobile developers, computer vision data scientists, and cloud/backend developers. We offer competitive salaries and benefits. What do we need? A Native iOS developer (Swift) with an extensive understanding of camera capture, video pipeline, video processing, and video playback. Experience integrating CoreML...

Looking for someone to deploy my TFLite models on Android devices. The models have been trained and they are all tested on android demo apps. The function of the app is to classify traits of multiple fruit flies in images. 1. Import images from mobile phone gallery 2. Use the object detection tflite model (like YOLO) to get bounding boxes of individual fruit flies in the images. 3. Cut original images (containing multiple flies) into many smaller images (with only one fly each) according to the bounding boxes. 4. Feed the smaller images into the image classification tflite model to classify traits of every single fruit fly. 5. Display a brief summary of the result on the UI and generate a .csv file to record all results in deta...

Hello Need basic app to identify audio using tensorflow, here you can find instruction to do it

Hi Manal J., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

Hi, I'm working on a face recognition project with tensorflow ml model on Android. i found this github project; and I need to convert it to a .tflite file. will you help me with that?

I have one completed app now. but it is using phone CPU. I want to use phone GPU, like coreml model. but this app used libtorch. I need who have full experience in libtorch GPU running.

I have a few questions about TFLite and need an expert to discuss with.

Need an developer who is well versed with deploying machine learning models for iOS. Other details shall be shared on bidding. On a strict budget of of 7000 INR

I want to implement my deep learning image classification model in to the tansorflow lite in android studio.

Hi, I have my model yolov4-tiny which is designed , trained and running on jetson nano and i want to convert to tensorflow elite and tensorflow format to get better frames per second on Jetson nano Herein the code that helps for conversion